research article modeling the treatment of glioblastoma...
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Research ArticleModeling the Treatment of Glioblastoma Multiforme andCancer Stem Cells with Ordinary Differential Equations
Kristen Abernathy1 and Jeremy Burke2
1Department of Mathematics Winthrop University Rock Hill SC 29733 USA2Department of Mathematics Vassar College Poughkeepsie NY 12604 USA
Correspondence should be addressed to Kristen Abernathy abernathykwinthropedu
Received 3 September 2015 Revised 12 November 2015 Accepted 22 December 2015
Academic Editor Chung-Min Liao
Copyright copy 2016 K Abernathy and J Burke This is an open access article distributed under the Creative Commons AttributionLicense which permits unrestricted use distribution and reproduction in any medium provided the original work is properlycited
Despite improvements in cancer therapy and treatments tumor recurrence is a common event in cancer patients One explanationof recurrence is that cancer therapy focuses on treatment of tumor cells and does not eradicate cancer stem cells (CSCs) CSCsare postulated to behave similar to normal stem cells in that their role is to maintain homeostasis That is when the population oftumor cells is reduced or depleted by treatment CSCs will repopulate the tumor causing recurrence In this paper we study theapplication of the CSC Hypothesis to the treatment of glioblastoma multiforme by immunotherapy We extend the work of Koganet al (2008) to incorporate the dynamics of CSCs prove the existence of a recurrence state and provide an analysis of possiblecancerous states and their dependence on treatment levels
1 Introduction
Dynamical systems continue to play an important role inunderstanding cancer dynamics [1ndash4] A recent developmentin cancer dynamics is the cancer stem cell hypothesis Thecancer stem cell hypothesis states that malignant tumors areinitiated and maintained by a population of tumor cells thatshare similar biologic properties to normal adult stem cells[5] With evidence mounting in support of the cancer stemcell hypothesis recent work has been devoted to the inclusionof cancer stem cells (CSCs) in current cancer models [6ndash9]
Cancer stem cells are a specialized type of cancer cell thatare believed to be responsible for populating tumors CSCshave a very small population in comparison to normal cancercells because of their specialized function While tumor cellsare only able to undergo a limited number of divisions CSCsare able to repopulate a depleted tumor even if there are onlya few CSCs left [10] Once the number of CSCs begins todrop usually due to treatment they cease creating cancer cellsand focus on repopulating themselves The small populationof CSCs is hard to detect and therefore treatment is often
stopped before all CSCs have been eradicated which leads torecurrence of cancer [11] It is clear that for treatment to beeffective wemust focus our efforts on eliminating both tumorcells and CSCs
The cancer stem cell hypothesis has been biologicallyverified for many solid tumors including brain cancer [12]Glioblastoma is a type of brain tumor which forms in thecerebral hemisphere of the brain often in the frontal andtemporal lobe These types of tumors are highly malignantforming from normal brain cells astrocytes or star-shapedglial cells which support nerve cells These cells can growrapidly due to ample amounts of blood available in thebrain Immunotherapy is a cancer treatmentwhich stimulatesthe immune system to work harder to attack cancer cellsThe therapy uses additive components such as man-madeproteins vaccines or white blood cells to further attack can-cer cells Immunotherapy is essential to treating multiformeglioblastomas because of their sensitive location the brainwhich is too delicate to be treated by chemotherapy or surgery[10 13]
Hindawi Publishing CorporationComputational and Mathematical Methods in MedicineVolume 2016 Article ID 1239861 11 pageshttpdxdoiorg10115520161239861
2 Computational and Mathematical Methods in Medicine
2 Presentation of the Model
In this paper we extend the previous work of Kogan et al[13] to include cancer stem cells in modeling the treatmentof glioblastomamultiformewith immunotherapyWe presentan abstract model that can be adapted to fit various biologicalassumptions We analyze the stability of the model both withand without treatment and derive sufficient conditions ontreatment to ensure a globally asymptotically stable cure stateWe conclude with an example illustrating the transition fromcoexistence of cancer cells to eradication of cancer cells withvarious treatment levels Much of this model is based onexperimental results obtained by Kruse et al [14]
The following system models the dynamics of tumorcells (119879) cancer stem cells (119878) alloreactive cytotoxic-T-lymphocytes (119862) TGF-120573 (119865120573) IFN-120574 (119865120574) and major histo-compatibility complex classes I and II (119872I and119872II resp)
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879
minus 119891119879 (119865120573) 119892119879 (119872I) ℎ119879 (119879) 119862119879
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119865120573) 119892119878 (119872I) ℎ119878 (119878) 119862119878
1198621015840= 119891119862 ((119879 + 119878) sdot 119872II) 119892119862 (119865120573) minus 120583119862119862 + 119873 (119905)
1198651015840120573 = 119891120573 (119879 + 119878) minus 120583120573119865120573
1198651015840120574 = 119891120574 (119862) minus 120583120574119865120574
1198721015840I = 119891119872I
(119865120574) minus 120583119872I119872I
1198721015840II = 119891119872II
(119865120573) 119892119872II(119865120574) minus 120583119872II
119872II
(1)
To understand the formation of the system above wediscuss the biological interpretations of each equation in themodel
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119865120573) 119892119879 (119872I) ℎ119879 (119879) 119862119879 (2)
The first term on the right hand side (RHS) of theequation represents differentiated tumor cells produced bythe CSCs without immune intervention where 120572(119879 119878) is therate at which CSCs produce tumor cells and 119879 is the numberof nonstem tumor cells (TCs) currently present The secondterm stands for normal tumor growth the cells producedby regular reproduction of nonstem tumor cells Both thefirst and second terms use classical logistic growth (note thatthe carrying capacities for 119878 and 119879 are distinct) The thirdterm on the RHS represents tumor elimination by CTL inproportion to both 119879 and 119862 CTLs are white blood cellsresponsible for attacking tumor cells in this case The thirdterm also introduces the effects of MHC class I receptors(119872I) and TGF-120573 (119865120573) which is assumed to be a majorimmunosuppressive factor for CTL activity [10] Consider
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119865120573) 119892119878 (119872I) ℎ119878 (119878) 119862119878 (3)
The first term on the RHS stands for the rate of stemcell growth without immune intervention As before this
follows a logistical growthmodel with a carrying capacity themaximal tumor cell burden The second term like the firstof the previous equation stands for differentiated tumor cellsproduced by CSCs The third term is almost identical to thethird term of the previous equation except that the functions119891119878 and 119892119878 represent the interaction of CSCs and CTLs withregard to TGF-120573 and MHC class I (as opposed to TCs in theabove equation) [11] Consider
1198621015840= 119891119862 ((119879 + 119878) sdot 119872II) 119892119862 (119865120573) minus 120583119862119862 + 119873 (119905) (4)
The first summand of the RHS stands for CTL recruit-ment from the blood system The recruitment function ispositively affected by MHC class II (119872II) and the number ofTCs (119879) and CSCs (119878) The cytokine TGF-120573 suppresses theproliferation and activation of T-lymphocytes [2] as well asleukocyte migration across the brain-blood boundary (BBB)[15] these are collectively represented by the function 119892119862We assume a constant death rate for 119862 represented by 120583119862The term119873(119905) describes the rate of infusion of primed CTLsdirectly to the tumor site119873(119905) is set equal to 0 in absence ofimmunotherapy [14 16] Consider
1198651015840120573 = 119891120573 (119879 + 119878) minus 120583120573119865120573
1198651015840120574 = 119891120574 (119862) minus 120583120574119865120574
(5)
The above two equations describe the dynamics of TGF-120573 and IFN-120574 respectively In the first equation the first termrepresents the natural basal level in the CNS (central nervoussystem) This includes TGF-120573 produced by the tumor whichis assumed to be proportional to the tumorrsquos size Thedegradation of TGF-120573 is assumed to be constant with the rate120583120573 and is represented by the second term
In the second equation the first term on the RHS is alinear production of IFN-120574 119865120574 We assume the only sourceof IFN-120574 is CTL The second term is the natural degradationof IFN-120574 with constant rate 120583120574 [15] Consider
1198721015840I = 119891119872I
(119865120574) minus 120583119872I119872I
1198721015840II = 119891119872II
(119865120573) 119892119872II(119865120574) minus 120583119872II
119872II(6)
The above two equations represent the dynamics ofMHCclasses I and II respectively For the first equation the firstterm on the RHS is the basal rate of119872I receptor expressionper tumor cell This includes the stimulation by IFN-120574 of119872Iexpression on the surface of a glioblastoma cell The secondterm is the natural degradation of119872I with constant rate 120583119872I
In the second equation the first term represents the rate
of119872II per tumor cell as a function of IFN-120574 and TGF-120573 [17]The second term is the degradation of119872II with constant rate120583119872II
[15]
3 Preliminary Results
Throughout the paper we will assume that system (1) issubject to nonnegative initial conditions In addition thefunctions 120572 1198771 1198772 119891119879 119891119878 119891119862 119891120573 119891120574 119891119872I
119891119872II 119892119879 119892119878
Computational and Mathematical Methods in Medicine 3
119892119862 119892119872II ℎ119879 and ℎ119878 are all C1 functions with nonnegative
values Here we use C1 to denote the space of continuouslydifferentiable functions These assumptions imply that thenonnegative orthant is invariant under (1) and there exists aunique solution to (1) subject to initial conditions To ensuresolutions to (1) stay bounded over time we need additionalassumptions We make the following mathematical assump-tionsmodified from [13] to account for cancer stem cells (A1)
(1) 1198771(119879) and 1198772(119878) are at most linear(2) 120572(119879 119878) is increasing(3) 119891119879(119865120573) and119891119878(119865120573) are decreasing and bounded below
119892119879(119872I) and 119892119878(119872I) are increasing and boundedabove
(4) ℎ119879 and ℎ119878 are decreasing and bounded below(5) 119891119862((119879 + 119878) sdot 119872II) is increasing and bounded above
119892119862(119865120573) is decreasing and bounded below(6) 119873(119905) is nonnegative and bounded above(7) 119891120573(119879) 119891120573(119878) and 119891120574(119862) are increasing(8) 119891119872I
(119865120574) is increasing and bounded above(9) 119892119872II
(119865120574) is increasing and bounded above 119891119872II(119865120573) is
decreasing and bounded below
We will use the following substitutions to simplify ourequations
119865120573 = 119909
119891120573 = 119891119909
120583120573 = 120583119909
119865120574 = 119910
119891120574 = 119891119910
120583120574 = 120583119910
119872I = 119906
119891119872I= 119891119906
120583119872I= 120583119906
119872II = V
119891119872II= 119891V
120583119872II= 120583V
(7)
These substitutions give us the following system equiva-lent to (1)
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) ℎ119879 (119879) 119862119879
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119909) 119892119878 (119906) ℎ119878 (119878) 119862119878
1198621015840= 119891119862 ((119879 + 119878) sdot V) 119892119862 (119909) minus 120583119862119862 + 119873 (119905)
1199091015840= 119891119909 (119879 + 119878) minus 120583119909119909
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119909) 119892V (119910) minus 120583VV(8)
Also as in [13] and included here for the readerrsquos benefitwe make the following biological assumptions on our system(A2)
(1) 1198771(119879) and 1198772(119878) are decreasing on [0 1198701] [0 1198702]respectively where 1198701 and 1198702 are their respectivecarrying capacities Furthermore 1198771(1198701) = 0 and1198772(1198702) = 0 Also 1198771(0) = 1199031 gt 0 and 1198772(0) = 1199032 gt 0
(2) 120572(119879 119878) = 119903120572(1198781198702)(1198791198701)(1198701 minus 119879) (when the CSCpopulation is small CSCs repopulate themselves butas their population grows they focus on populatingthe TC population) [11]
(3) 119891119879(119909) and 119891119878(119909) are decreasing 119891119879(0) = 119891119878(0) = 1and lim119909rarrinfin119891119879(119909) = 119886119879119909 lim119909rarrinfin119891119878(119909) = 119886119878119909 forsome 119886119879119909 119886119878119909 gt 0 (TGF-120573 decreases the efficacy oftumors killed by CTLs up to some limit)
(4) 119892119879(119906) 119892119878(119906) are increasing 119892119879(0) = 119892119878(0) = 0 andlim119906rarrinfin119892119879(119906) = 119886119879 gt 0 lim119906rarrinfin119891119878(119906) = 119886119878 gt 0
(MHC class I receptors are necessary for the action ofCTLs and increase their efficiency up to some limit)
(5) 119892119878(119906) lt 119892119879(119906) (CTLs are less efficient when attackingCSCs) [11]
(6) ℎ119879(119879) and ℎ119878(119878) are decreasing ℎ119879(0) = ℎ119878(0) = 1and lim119879rarrinfinℎ119879(119879) = 0 lim119878rarrinfinℎ119878(119878) = 0 (largetumormass hampers the access of CTLs to tumor cellsand reduces their kill rate)
(7) 119891119862(119879V+119878V) is increasing from 0 to 119886119862V gt 01198911015840119862(0) gt 0
and lim119879V+119878Vrarrinfin1198911015840119862(119879V+ 119878V) = 0 (the total number of
MHC class II receptors on all tumor cells and stemcells determines the recruitment of CTLs the rate ofCTL recruitment is limited and its growth decreasesto zero)
(8) 119892119862(119909) is decreasing from 1 to some bound greater than0 (TGF-120573 reduces recruitment of CTLs)
(9) 119891119909(119879 + 119878) = 119892119909 + 119886119909119879119879 + 119886119909119878119878 119891119910(119862) = 119886119910119862119862 where119886119909119879 119886119909119878 119886119910119862 gt 0 (TGF-120573 and IFN-120574 are secreted bythe cancerous cells and CTLs resp at constant ratethere is base level secretion of TGF-120573)
(10) 119891119906(0) = 119892119906 gt 0 and lim119910rarrinfin119891119906(119910) = 119892119906+119886119906119910 119886119906119910 gt 0(there is a constant basic production of MHC class IIreceptors at the cell surface while IFN-120574 increases thisproduction up to some level)
(11) 119891V(0) = 1 and 119891V(119909) is decreasing to 0 (TGF-120573decreases MHC class II production to 0)
(12) 119892V(0) = 0 119892V(119910) is increasing to 119886119906119910 gt 0 1198921015840V gt 0and lim119910rarrinfin119892
1015840V(119910) = 0 (IFN-120574 is necessary to induce
4 Computational and Mathematical Methods in Medicine
production of MHC class II receptors and increasesup to some level with increase declining to zero)
(13) 119873(119905) equiv 119873 (treatment is assumed to be constant withrespect to time)
Theorem 1 Under the (A2) assumptions system (1) is dissipa-tive on [0 1198701] times [0 1198702] times (Rge0)
5
Proof Let 119888max = max119891119862(119879V + 119878V)119892119862(119909) 119891119909 = (119892119879 + 119892119878) +(1198861199091198791198701 + 1198861199091198781198702) ge 119891119909(119879 + 119878) for all values of 119879 and 119878 119891119910 =119886119910119862119862max where119862max = max(119888max +119873)120583119862 119862(0) 119891119906 = 119892119906 +119886119906119910 and119891V = 119886119906119910These values are well defined based on the(A2) assumptions
In order to show that our system is dissipative we need toconstruct a119882 such that
nabla119882 sdot 119865 le 119860 minus 120575119882 where 119860 120575 gt 0 (9)
where 119865 is the RHS of system (1) Let119882(119879 119878 119862 119909 119910 119906 V) =119879+119878+119862+119909+119910+119906+VThen since1198771(0) = 0 and1198771(1198701) = 01198771(119879)119879 le 1198861 minus 1198871119879 for some 1198861 1198871 gt 0 on [0 1198701] Similarly1198772(119878)119878 le 1198862 minus 1198872119878 for some 1198862 1198872 gt 0 on [0 1198702]Thus
nabla119882 sdot 119865 = 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) 119862119879ℎ119879 (119879)
+ 1198772 (119878) 119878 minus 119891119878 (119909) 119892119878 (119906) 119862119878ℎ119878 (119878)
+ 119891119862 (119879V + 119878V) 119892119862 (119909) minus 120583119862119862 + 119873
+ 119891119909 (119879 + 119878) minus 120583119909119909 + 119891119910 (119862) minus 120583119910119910
+ 119891119906 (119910) minus 120583119906119906 + 119891V (119909) 119892V (119910) minus 120583VV
le 1198861 minus 1198871119879 + 1198862 minus 1198872119878 + 119888max minus 120583119862119862 + 119873 + 119891119909
minus 120583119909119909 + 119891119910 minus 120583119910119910 + 119891119906 minus 120583119906119906 + 119891V minus 120583V
le 119860 minus 120575119882
(10)
where 120575 = min1198871 1198872 120583119862 120583119909 120583119910 120583119906 120583V and 119860 = 1198861 + 1198862 +
119888max + 119873 + 119891119909 + 119891119910 + 119891119906 + 119891V
Since our inequalities1198771(119879)119879 le 1198861minus11988711198791198772(119878)119878 le 1198862minus1198872119878hold for all values of119879 119878 in this space the system is dissipativeeverywhere on [0 1198701] times [0 1198702] times (Rge0)
5 and by a theoremfrom Robinson [18] we get the following corollary
Corollary 2 System (1) has a compact global attractor on[0 1198701] times [0 1198702] times (Rge0)
5
4 Stability Analysis
In the following section we present an analysis of threepotential steady states tumor elimination (where CSC andTC populations are eradicated) recurrence (where the TCpopulation is eradicated but the CSC population persists)and coexistence (where CSC and TC populations persist) Ineach case we discuss sufficiency conditions on the treatmentterm 119873 which will allow for a globally asymptotically stablecure state (tumor elimination)
41 Semitrivial Tumor Elimination We begin our analysiswith tumor elimination Setting 119879 = 0 and 119878 = 0 we findthe equilibrium values
119862lowast=119873
120583119862
119909lowast=119891119909 (0)
120583119909
119910lowast=
119891119910 (119862lowast)
120583119910
119906lowast=119891119906 (119910lowast)
120583119906
Vlowast =119891V (119909lowast) 119892V (119910
lowast)
120583V
(11)
Substituting this equilibrium point into the Jacobian matrix
(((((((((((((((((
(
minus119873119891119878 (119909
lowast) 119892119878 (119906
lowast)
120583119862
+ 1199032 0 0 0 0 0 0
0 minus119873119891119879 (119909
lowast) 119892119879 (119906
lowast)
120583119862
+ 1199031 0 0 0 0 0
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583V
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583Vminus120583119862 0 0 0 0
0 0 1198911015840119910 (119862lowast) minus120583119910 0 0 0
1198911015840119909 (0) 119891
1015840119909 (0) 0 0 minus120583119909 0 0
0 0 0 1198911015840119906 (119910lowast) 0 minus120583119906 0
0 0 0 119891V (119909lowast) 1198921015840V (119910lowast) 1198911015840V (119909lowast) 119892V (119910
lowast) 0 minus120583V
)))))))))))))))))
)
(12)
Computational and Mathematical Methods in Medicine 5
yields eigenvalues 120582 = minus120583119862 minus120583119906 minus120583V minus120583119909 minus120583119910minus119873119891119878(119909
lowast)119892119878(119906lowast)120583119862 + 1199032 and minus119873119891119879(119909
lowast)119892119879(119906
lowast)120583119862 + 1199031 So
as long as we choose119873 large enough so that
119873 gt1199032 sdot 120583119862
119891119878 (119909lowast) 119892119878 (119906
lowast)
119873 gt1199031 sdot 120583119862
119891119879 (119909lowast) 119892119879 (119906
lowast)
(13)
we are guaranteed to have a locally asymptotically stable curestate
We now show that under necessary condition (13) (0 0119862lowast 119909lowast 119910lowast 119906lowast Vlowast) is locally asymptotically stable Let 119873 =
119873lowast where 119873lowast meets condition (13) Then for some initial
conditions there exists 119905120598 such that for 119905 ge 119905120598 119862 gt 119862lowast=
(119873lowast120583119862)(1 minus 120598) for arbitrarily small 120598 If we also let 119910lowast =
(119891119910(119862lowast)120583119910)(1 minus 1205981) and 119906
lowast= (119891119906(119910
lowast)120583119906)(1 minus 1205982) for
1205981 1205982 arbitrarily small we have that 119906 gt 119906lowast from some
starting moment and therefore 119892119879(119906)119862 gt 119892119879(119906lowast)119862lowast By our
assumptions (A1) ℎ119879(119879) ge ℎ119879(1198701) and 119891119879(119909) ge 119891119879(119909max)so if we let 119873lowast be large enough so that 119892119879(119906
lowast)119862lowastgt (1199031 +
119903120572119870214)ℎ119879(1198701)119891119879(119909max) then we have that
1198791015840le minus1198861119879
where 1198861 = 119892119879 (119906lowast) 119862lowastminus
1199031 + 119903120572119870214
ℎ119879 (1198701) 119891119879 (119909max)gt 0
(14)
A parallel argument works to show that for119873lowast large enough
1198781015840le minus1198862119878
where 1198862 = 119892119878 (119906lowast) 119862lowastminus
1199032
ℎ119878 (1198702) 119891119878 (119909max)gt 0
(15)
Thus by increasing the treatment value119873 we are able to showthat for some set of initial conditions the CSC population119878 and TC population 119879 decay exponentially to 0 leading totumor elimination
42 Persistence of Tumor We now wish to consider steadystates in which some subset of cancer cell populations persistLet our hypothetical equilibrium point be (119879119901 119878119901 119862119901 119909119901119910119901 119906119901 V119901) where 119878119901 gt 0Then
119909119901 =
119891119909 (119879119901 + 119878119901)
120583119909
119910119901 =
119891119910 (119862119901)
120583119910
119906119901 =
119891119906 (119910119901)
120583119906
V119901 =119891V (119909119901) 119892V (119910119901)
120583V
(16)
We wish to show existence of 119879119901 119878119901 gt 0 and 119862119901 gt 0 To doso we must solve the system
1198771 (119879119901) + 120572 (119879119901 119878119901) = 119891119879(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119879(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119879 (119879119901) 119862119901
1198772 (119878119901) 119878119901 = 120572 (119879119901 119878119901) 119879119901 + 119891119878(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119878(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119878 (119878119901) 119878119901119862119901
120583119862119862119901
= 119891119862(
119891V (119891119909 (119879119901 + 119878119901) 120583119909) 119892V (119891119910 (119862119901) 120583119910) (119879119901 + 119878119901)
120583V)
sdot 119892119862(
119891119909 (119879119901 + 119878119901)
120583119909
) +119873
(17)
Defining the auxiliary function
119867119879119878 (119862)
= 119891119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862119862 + 119873
(18)
we see that for every 119879 119878 ge 0119867119879119878(0) = 119873 gt 0In addition taking the derivative with respect to119862 we get
1198671015840119879119878 (119862)
= 1198911015840119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot119891V (119891119909 (119879 + 119878) 120583119909) (119879 + 119878)
120583V1198921015840V (
119891119910 (119862)
120583119910
)
1198911015840119910 (119862)
120583119910
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862
(19)
From assumptions (A2) we have that 1198671015840119879119878(119862) is decreasingso there is exactly one positive 119862 for which 119867119879119878(119862) = 0 forany given 119879 119878 Thus such 119862119901 gt 0 exists but to further solvesystem (17) we need more information about the arbitraryfunctions present
To move forward in the analysis of system (8) we willneed to make the following simplifying assumptions (A3)
(1) The dynamics of TGF-120573 are much faster than those ofthe other system components
(2) The inflow of CTLs is constant
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
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Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
2 Computational and Mathematical Methods in Medicine
2 Presentation of the Model
In this paper we extend the previous work of Kogan et al[13] to include cancer stem cells in modeling the treatmentof glioblastomamultiformewith immunotherapyWe presentan abstract model that can be adapted to fit various biologicalassumptions We analyze the stability of the model both withand without treatment and derive sufficient conditions ontreatment to ensure a globally asymptotically stable cure stateWe conclude with an example illustrating the transition fromcoexistence of cancer cells to eradication of cancer cells withvarious treatment levels Much of this model is based onexperimental results obtained by Kruse et al [14]
The following system models the dynamics of tumorcells (119879) cancer stem cells (119878) alloreactive cytotoxic-T-lymphocytes (119862) TGF-120573 (119865120573) IFN-120574 (119865120574) and major histo-compatibility complex classes I and II (119872I and119872II resp)
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879
minus 119891119879 (119865120573) 119892119879 (119872I) ℎ119879 (119879) 119862119879
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119865120573) 119892119878 (119872I) ℎ119878 (119878) 119862119878
1198621015840= 119891119862 ((119879 + 119878) sdot 119872II) 119892119862 (119865120573) minus 120583119862119862 + 119873 (119905)
1198651015840120573 = 119891120573 (119879 + 119878) minus 120583120573119865120573
1198651015840120574 = 119891120574 (119862) minus 120583120574119865120574
1198721015840I = 119891119872I
(119865120574) minus 120583119872I119872I
1198721015840II = 119891119872II
(119865120573) 119892119872II(119865120574) minus 120583119872II
119872II
(1)
To understand the formation of the system above wediscuss the biological interpretations of each equation in themodel
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119865120573) 119892119879 (119872I) ℎ119879 (119879) 119862119879 (2)
The first term on the right hand side (RHS) of theequation represents differentiated tumor cells produced bythe CSCs without immune intervention where 120572(119879 119878) is therate at which CSCs produce tumor cells and 119879 is the numberof nonstem tumor cells (TCs) currently present The secondterm stands for normal tumor growth the cells producedby regular reproduction of nonstem tumor cells Both thefirst and second terms use classical logistic growth (note thatthe carrying capacities for 119878 and 119879 are distinct) The thirdterm on the RHS represents tumor elimination by CTL inproportion to both 119879 and 119862 CTLs are white blood cellsresponsible for attacking tumor cells in this case The thirdterm also introduces the effects of MHC class I receptors(119872I) and TGF-120573 (119865120573) which is assumed to be a majorimmunosuppressive factor for CTL activity [10] Consider
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119865120573) 119892119878 (119872I) ℎ119878 (119878) 119862119878 (3)
The first term on the RHS stands for the rate of stemcell growth without immune intervention As before this
follows a logistical growthmodel with a carrying capacity themaximal tumor cell burden The second term like the firstof the previous equation stands for differentiated tumor cellsproduced by CSCs The third term is almost identical to thethird term of the previous equation except that the functions119891119878 and 119892119878 represent the interaction of CSCs and CTLs withregard to TGF-120573 and MHC class I (as opposed to TCs in theabove equation) [11] Consider
1198621015840= 119891119862 ((119879 + 119878) sdot 119872II) 119892119862 (119865120573) minus 120583119862119862 + 119873 (119905) (4)
The first summand of the RHS stands for CTL recruit-ment from the blood system The recruitment function ispositively affected by MHC class II (119872II) and the number ofTCs (119879) and CSCs (119878) The cytokine TGF-120573 suppresses theproliferation and activation of T-lymphocytes [2] as well asleukocyte migration across the brain-blood boundary (BBB)[15] these are collectively represented by the function 119892119862We assume a constant death rate for 119862 represented by 120583119862The term119873(119905) describes the rate of infusion of primed CTLsdirectly to the tumor site119873(119905) is set equal to 0 in absence ofimmunotherapy [14 16] Consider
1198651015840120573 = 119891120573 (119879 + 119878) minus 120583120573119865120573
1198651015840120574 = 119891120574 (119862) minus 120583120574119865120574
(5)
The above two equations describe the dynamics of TGF-120573 and IFN-120574 respectively In the first equation the first termrepresents the natural basal level in the CNS (central nervoussystem) This includes TGF-120573 produced by the tumor whichis assumed to be proportional to the tumorrsquos size Thedegradation of TGF-120573 is assumed to be constant with the rate120583120573 and is represented by the second term
In the second equation the first term on the RHS is alinear production of IFN-120574 119865120574 We assume the only sourceof IFN-120574 is CTL The second term is the natural degradationof IFN-120574 with constant rate 120583120574 [15] Consider
1198721015840I = 119891119872I
(119865120574) minus 120583119872I119872I
1198721015840II = 119891119872II
(119865120573) 119892119872II(119865120574) minus 120583119872II
119872II(6)
The above two equations represent the dynamics ofMHCclasses I and II respectively For the first equation the firstterm on the RHS is the basal rate of119872I receptor expressionper tumor cell This includes the stimulation by IFN-120574 of119872Iexpression on the surface of a glioblastoma cell The secondterm is the natural degradation of119872I with constant rate 120583119872I
In the second equation the first term represents the rate
of119872II per tumor cell as a function of IFN-120574 and TGF-120573 [17]The second term is the degradation of119872II with constant rate120583119872II
[15]
3 Preliminary Results
Throughout the paper we will assume that system (1) issubject to nonnegative initial conditions In addition thefunctions 120572 1198771 1198772 119891119879 119891119878 119891119862 119891120573 119891120574 119891119872I
119891119872II 119892119879 119892119878
Computational and Mathematical Methods in Medicine 3
119892119862 119892119872II ℎ119879 and ℎ119878 are all C1 functions with nonnegative
values Here we use C1 to denote the space of continuouslydifferentiable functions These assumptions imply that thenonnegative orthant is invariant under (1) and there exists aunique solution to (1) subject to initial conditions To ensuresolutions to (1) stay bounded over time we need additionalassumptions We make the following mathematical assump-tionsmodified from [13] to account for cancer stem cells (A1)
(1) 1198771(119879) and 1198772(119878) are at most linear(2) 120572(119879 119878) is increasing(3) 119891119879(119865120573) and119891119878(119865120573) are decreasing and bounded below
119892119879(119872I) and 119892119878(119872I) are increasing and boundedabove
(4) ℎ119879 and ℎ119878 are decreasing and bounded below(5) 119891119862((119879 + 119878) sdot 119872II) is increasing and bounded above
119892119862(119865120573) is decreasing and bounded below(6) 119873(119905) is nonnegative and bounded above(7) 119891120573(119879) 119891120573(119878) and 119891120574(119862) are increasing(8) 119891119872I
(119865120574) is increasing and bounded above(9) 119892119872II
(119865120574) is increasing and bounded above 119891119872II(119865120573) is
decreasing and bounded below
We will use the following substitutions to simplify ourequations
119865120573 = 119909
119891120573 = 119891119909
120583120573 = 120583119909
119865120574 = 119910
119891120574 = 119891119910
120583120574 = 120583119910
119872I = 119906
119891119872I= 119891119906
120583119872I= 120583119906
119872II = V
119891119872II= 119891V
120583119872II= 120583V
(7)
These substitutions give us the following system equiva-lent to (1)
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) ℎ119879 (119879) 119862119879
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119909) 119892119878 (119906) ℎ119878 (119878) 119862119878
1198621015840= 119891119862 ((119879 + 119878) sdot V) 119892119862 (119909) minus 120583119862119862 + 119873 (119905)
1199091015840= 119891119909 (119879 + 119878) minus 120583119909119909
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119909) 119892V (119910) minus 120583VV(8)
Also as in [13] and included here for the readerrsquos benefitwe make the following biological assumptions on our system(A2)
(1) 1198771(119879) and 1198772(119878) are decreasing on [0 1198701] [0 1198702]respectively where 1198701 and 1198702 are their respectivecarrying capacities Furthermore 1198771(1198701) = 0 and1198772(1198702) = 0 Also 1198771(0) = 1199031 gt 0 and 1198772(0) = 1199032 gt 0
(2) 120572(119879 119878) = 119903120572(1198781198702)(1198791198701)(1198701 minus 119879) (when the CSCpopulation is small CSCs repopulate themselves butas their population grows they focus on populatingthe TC population) [11]
(3) 119891119879(119909) and 119891119878(119909) are decreasing 119891119879(0) = 119891119878(0) = 1and lim119909rarrinfin119891119879(119909) = 119886119879119909 lim119909rarrinfin119891119878(119909) = 119886119878119909 forsome 119886119879119909 119886119878119909 gt 0 (TGF-120573 decreases the efficacy oftumors killed by CTLs up to some limit)
(4) 119892119879(119906) 119892119878(119906) are increasing 119892119879(0) = 119892119878(0) = 0 andlim119906rarrinfin119892119879(119906) = 119886119879 gt 0 lim119906rarrinfin119891119878(119906) = 119886119878 gt 0
(MHC class I receptors are necessary for the action ofCTLs and increase their efficiency up to some limit)
(5) 119892119878(119906) lt 119892119879(119906) (CTLs are less efficient when attackingCSCs) [11]
(6) ℎ119879(119879) and ℎ119878(119878) are decreasing ℎ119879(0) = ℎ119878(0) = 1and lim119879rarrinfinℎ119879(119879) = 0 lim119878rarrinfinℎ119878(119878) = 0 (largetumormass hampers the access of CTLs to tumor cellsand reduces their kill rate)
(7) 119891119862(119879V+119878V) is increasing from 0 to 119886119862V gt 01198911015840119862(0) gt 0
and lim119879V+119878Vrarrinfin1198911015840119862(119879V+ 119878V) = 0 (the total number of
MHC class II receptors on all tumor cells and stemcells determines the recruitment of CTLs the rate ofCTL recruitment is limited and its growth decreasesto zero)
(8) 119892119862(119909) is decreasing from 1 to some bound greater than0 (TGF-120573 reduces recruitment of CTLs)
(9) 119891119909(119879 + 119878) = 119892119909 + 119886119909119879119879 + 119886119909119878119878 119891119910(119862) = 119886119910119862119862 where119886119909119879 119886119909119878 119886119910119862 gt 0 (TGF-120573 and IFN-120574 are secreted bythe cancerous cells and CTLs resp at constant ratethere is base level secretion of TGF-120573)
(10) 119891119906(0) = 119892119906 gt 0 and lim119910rarrinfin119891119906(119910) = 119892119906+119886119906119910 119886119906119910 gt 0(there is a constant basic production of MHC class IIreceptors at the cell surface while IFN-120574 increases thisproduction up to some level)
(11) 119891V(0) = 1 and 119891V(119909) is decreasing to 0 (TGF-120573decreases MHC class II production to 0)
(12) 119892V(0) = 0 119892V(119910) is increasing to 119886119906119910 gt 0 1198921015840V gt 0and lim119910rarrinfin119892
1015840V(119910) = 0 (IFN-120574 is necessary to induce
4 Computational and Mathematical Methods in Medicine
production of MHC class II receptors and increasesup to some level with increase declining to zero)
(13) 119873(119905) equiv 119873 (treatment is assumed to be constant withrespect to time)
Theorem 1 Under the (A2) assumptions system (1) is dissipa-tive on [0 1198701] times [0 1198702] times (Rge0)
5
Proof Let 119888max = max119891119862(119879V + 119878V)119892119862(119909) 119891119909 = (119892119879 + 119892119878) +(1198861199091198791198701 + 1198861199091198781198702) ge 119891119909(119879 + 119878) for all values of 119879 and 119878 119891119910 =119886119910119862119862max where119862max = max(119888max +119873)120583119862 119862(0) 119891119906 = 119892119906 +119886119906119910 and119891V = 119886119906119910These values are well defined based on the(A2) assumptions
In order to show that our system is dissipative we need toconstruct a119882 such that
nabla119882 sdot 119865 le 119860 minus 120575119882 where 119860 120575 gt 0 (9)
where 119865 is the RHS of system (1) Let119882(119879 119878 119862 119909 119910 119906 V) =119879+119878+119862+119909+119910+119906+VThen since1198771(0) = 0 and1198771(1198701) = 01198771(119879)119879 le 1198861 minus 1198871119879 for some 1198861 1198871 gt 0 on [0 1198701] Similarly1198772(119878)119878 le 1198862 minus 1198872119878 for some 1198862 1198872 gt 0 on [0 1198702]Thus
nabla119882 sdot 119865 = 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) 119862119879ℎ119879 (119879)
+ 1198772 (119878) 119878 minus 119891119878 (119909) 119892119878 (119906) 119862119878ℎ119878 (119878)
+ 119891119862 (119879V + 119878V) 119892119862 (119909) minus 120583119862119862 + 119873
+ 119891119909 (119879 + 119878) minus 120583119909119909 + 119891119910 (119862) minus 120583119910119910
+ 119891119906 (119910) minus 120583119906119906 + 119891V (119909) 119892V (119910) minus 120583VV
le 1198861 minus 1198871119879 + 1198862 minus 1198872119878 + 119888max minus 120583119862119862 + 119873 + 119891119909
minus 120583119909119909 + 119891119910 minus 120583119910119910 + 119891119906 minus 120583119906119906 + 119891V minus 120583V
le 119860 minus 120575119882
(10)
where 120575 = min1198871 1198872 120583119862 120583119909 120583119910 120583119906 120583V and 119860 = 1198861 + 1198862 +
119888max + 119873 + 119891119909 + 119891119910 + 119891119906 + 119891V
Since our inequalities1198771(119879)119879 le 1198861minus11988711198791198772(119878)119878 le 1198862minus1198872119878hold for all values of119879 119878 in this space the system is dissipativeeverywhere on [0 1198701] times [0 1198702] times (Rge0)
5 and by a theoremfrom Robinson [18] we get the following corollary
Corollary 2 System (1) has a compact global attractor on[0 1198701] times [0 1198702] times (Rge0)
5
4 Stability Analysis
In the following section we present an analysis of threepotential steady states tumor elimination (where CSC andTC populations are eradicated) recurrence (where the TCpopulation is eradicated but the CSC population persists)and coexistence (where CSC and TC populations persist) Ineach case we discuss sufficiency conditions on the treatmentterm 119873 which will allow for a globally asymptotically stablecure state (tumor elimination)
41 Semitrivial Tumor Elimination We begin our analysiswith tumor elimination Setting 119879 = 0 and 119878 = 0 we findthe equilibrium values
119862lowast=119873
120583119862
119909lowast=119891119909 (0)
120583119909
119910lowast=
119891119910 (119862lowast)
120583119910
119906lowast=119891119906 (119910lowast)
120583119906
Vlowast =119891V (119909lowast) 119892V (119910
lowast)
120583V
(11)
Substituting this equilibrium point into the Jacobian matrix
(((((((((((((((((
(
minus119873119891119878 (119909
lowast) 119892119878 (119906
lowast)
120583119862
+ 1199032 0 0 0 0 0 0
0 minus119873119891119879 (119909
lowast) 119892119879 (119906
lowast)
120583119862
+ 1199031 0 0 0 0 0
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583V
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583Vminus120583119862 0 0 0 0
0 0 1198911015840119910 (119862lowast) minus120583119910 0 0 0
1198911015840119909 (0) 119891
1015840119909 (0) 0 0 minus120583119909 0 0
0 0 0 1198911015840119906 (119910lowast) 0 minus120583119906 0
0 0 0 119891V (119909lowast) 1198921015840V (119910lowast) 1198911015840V (119909lowast) 119892V (119910
lowast) 0 minus120583V
)))))))))))))))))
)
(12)
Computational and Mathematical Methods in Medicine 5
yields eigenvalues 120582 = minus120583119862 minus120583119906 minus120583V minus120583119909 minus120583119910minus119873119891119878(119909
lowast)119892119878(119906lowast)120583119862 + 1199032 and minus119873119891119879(119909
lowast)119892119879(119906
lowast)120583119862 + 1199031 So
as long as we choose119873 large enough so that
119873 gt1199032 sdot 120583119862
119891119878 (119909lowast) 119892119878 (119906
lowast)
119873 gt1199031 sdot 120583119862
119891119879 (119909lowast) 119892119879 (119906
lowast)
(13)
we are guaranteed to have a locally asymptotically stable curestate
We now show that under necessary condition (13) (0 0119862lowast 119909lowast 119910lowast 119906lowast Vlowast) is locally asymptotically stable Let 119873 =
119873lowast where 119873lowast meets condition (13) Then for some initial
conditions there exists 119905120598 such that for 119905 ge 119905120598 119862 gt 119862lowast=
(119873lowast120583119862)(1 minus 120598) for arbitrarily small 120598 If we also let 119910lowast =
(119891119910(119862lowast)120583119910)(1 minus 1205981) and 119906
lowast= (119891119906(119910
lowast)120583119906)(1 minus 1205982) for
1205981 1205982 arbitrarily small we have that 119906 gt 119906lowast from some
starting moment and therefore 119892119879(119906)119862 gt 119892119879(119906lowast)119862lowast By our
assumptions (A1) ℎ119879(119879) ge ℎ119879(1198701) and 119891119879(119909) ge 119891119879(119909max)so if we let 119873lowast be large enough so that 119892119879(119906
lowast)119862lowastgt (1199031 +
119903120572119870214)ℎ119879(1198701)119891119879(119909max) then we have that
1198791015840le minus1198861119879
where 1198861 = 119892119879 (119906lowast) 119862lowastminus
1199031 + 119903120572119870214
ℎ119879 (1198701) 119891119879 (119909max)gt 0
(14)
A parallel argument works to show that for119873lowast large enough
1198781015840le minus1198862119878
where 1198862 = 119892119878 (119906lowast) 119862lowastminus
1199032
ℎ119878 (1198702) 119891119878 (119909max)gt 0
(15)
Thus by increasing the treatment value119873 we are able to showthat for some set of initial conditions the CSC population119878 and TC population 119879 decay exponentially to 0 leading totumor elimination
42 Persistence of Tumor We now wish to consider steadystates in which some subset of cancer cell populations persistLet our hypothetical equilibrium point be (119879119901 119878119901 119862119901 119909119901119910119901 119906119901 V119901) where 119878119901 gt 0Then
119909119901 =
119891119909 (119879119901 + 119878119901)
120583119909
119910119901 =
119891119910 (119862119901)
120583119910
119906119901 =
119891119906 (119910119901)
120583119906
V119901 =119891V (119909119901) 119892V (119910119901)
120583V
(16)
We wish to show existence of 119879119901 119878119901 gt 0 and 119862119901 gt 0 To doso we must solve the system
1198771 (119879119901) + 120572 (119879119901 119878119901) = 119891119879(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119879(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119879 (119879119901) 119862119901
1198772 (119878119901) 119878119901 = 120572 (119879119901 119878119901) 119879119901 + 119891119878(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119878(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119878 (119878119901) 119878119901119862119901
120583119862119862119901
= 119891119862(
119891V (119891119909 (119879119901 + 119878119901) 120583119909) 119892V (119891119910 (119862119901) 120583119910) (119879119901 + 119878119901)
120583V)
sdot 119892119862(
119891119909 (119879119901 + 119878119901)
120583119909
) +119873
(17)
Defining the auxiliary function
119867119879119878 (119862)
= 119891119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862119862 + 119873
(18)
we see that for every 119879 119878 ge 0119867119879119878(0) = 119873 gt 0In addition taking the derivative with respect to119862 we get
1198671015840119879119878 (119862)
= 1198911015840119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot119891V (119891119909 (119879 + 119878) 120583119909) (119879 + 119878)
120583V1198921015840V (
119891119910 (119862)
120583119910
)
1198911015840119910 (119862)
120583119910
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862
(19)
From assumptions (A2) we have that 1198671015840119879119878(119862) is decreasingso there is exactly one positive 119862 for which 119867119879119878(119862) = 0 forany given 119879 119878 Thus such 119862119901 gt 0 exists but to further solvesystem (17) we need more information about the arbitraryfunctions present
To move forward in the analysis of system (8) we willneed to make the following simplifying assumptions (A3)
(1) The dynamics of TGF-120573 are much faster than those ofthe other system components
(2) The inflow of CTLs is constant
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Computational and Mathematical Methods in Medicine 3
119892119862 119892119872II ℎ119879 and ℎ119878 are all C1 functions with nonnegative
values Here we use C1 to denote the space of continuouslydifferentiable functions These assumptions imply that thenonnegative orthant is invariant under (1) and there exists aunique solution to (1) subject to initial conditions To ensuresolutions to (1) stay bounded over time we need additionalassumptions We make the following mathematical assump-tionsmodified from [13] to account for cancer stem cells (A1)
(1) 1198771(119879) and 1198772(119878) are at most linear(2) 120572(119879 119878) is increasing(3) 119891119879(119865120573) and119891119878(119865120573) are decreasing and bounded below
119892119879(119872I) and 119892119878(119872I) are increasing and boundedabove
(4) ℎ119879 and ℎ119878 are decreasing and bounded below(5) 119891119862((119879 + 119878) sdot 119872II) is increasing and bounded above
119892119862(119865120573) is decreasing and bounded below(6) 119873(119905) is nonnegative and bounded above(7) 119891120573(119879) 119891120573(119878) and 119891120574(119862) are increasing(8) 119891119872I
(119865120574) is increasing and bounded above(9) 119892119872II
(119865120574) is increasing and bounded above 119891119872II(119865120573) is
decreasing and bounded below
We will use the following substitutions to simplify ourequations
119865120573 = 119909
119891120573 = 119891119909
120583120573 = 120583119909
119865120574 = 119910
119891120574 = 119891119910
120583120574 = 120583119910
119872I = 119906
119891119872I= 119891119906
120583119872I= 120583119906
119872II = V
119891119872II= 119891V
120583119872II= 120583V
(7)
These substitutions give us the following system equiva-lent to (1)
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) ℎ119879 (119879) 119862119879
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119909) 119892119878 (119906) ℎ119878 (119878) 119862119878
1198621015840= 119891119862 ((119879 + 119878) sdot V) 119892119862 (119909) minus 120583119862119862 + 119873 (119905)
1199091015840= 119891119909 (119879 + 119878) minus 120583119909119909
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119909) 119892V (119910) minus 120583VV(8)
Also as in [13] and included here for the readerrsquos benefitwe make the following biological assumptions on our system(A2)
(1) 1198771(119879) and 1198772(119878) are decreasing on [0 1198701] [0 1198702]respectively where 1198701 and 1198702 are their respectivecarrying capacities Furthermore 1198771(1198701) = 0 and1198772(1198702) = 0 Also 1198771(0) = 1199031 gt 0 and 1198772(0) = 1199032 gt 0
(2) 120572(119879 119878) = 119903120572(1198781198702)(1198791198701)(1198701 minus 119879) (when the CSCpopulation is small CSCs repopulate themselves butas their population grows they focus on populatingthe TC population) [11]
(3) 119891119879(119909) and 119891119878(119909) are decreasing 119891119879(0) = 119891119878(0) = 1and lim119909rarrinfin119891119879(119909) = 119886119879119909 lim119909rarrinfin119891119878(119909) = 119886119878119909 forsome 119886119879119909 119886119878119909 gt 0 (TGF-120573 decreases the efficacy oftumors killed by CTLs up to some limit)
(4) 119892119879(119906) 119892119878(119906) are increasing 119892119879(0) = 119892119878(0) = 0 andlim119906rarrinfin119892119879(119906) = 119886119879 gt 0 lim119906rarrinfin119891119878(119906) = 119886119878 gt 0
(MHC class I receptors are necessary for the action ofCTLs and increase their efficiency up to some limit)
(5) 119892119878(119906) lt 119892119879(119906) (CTLs are less efficient when attackingCSCs) [11]
(6) ℎ119879(119879) and ℎ119878(119878) are decreasing ℎ119879(0) = ℎ119878(0) = 1and lim119879rarrinfinℎ119879(119879) = 0 lim119878rarrinfinℎ119878(119878) = 0 (largetumormass hampers the access of CTLs to tumor cellsand reduces their kill rate)
(7) 119891119862(119879V+119878V) is increasing from 0 to 119886119862V gt 01198911015840119862(0) gt 0
and lim119879V+119878Vrarrinfin1198911015840119862(119879V+ 119878V) = 0 (the total number of
MHC class II receptors on all tumor cells and stemcells determines the recruitment of CTLs the rate ofCTL recruitment is limited and its growth decreasesto zero)
(8) 119892119862(119909) is decreasing from 1 to some bound greater than0 (TGF-120573 reduces recruitment of CTLs)
(9) 119891119909(119879 + 119878) = 119892119909 + 119886119909119879119879 + 119886119909119878119878 119891119910(119862) = 119886119910119862119862 where119886119909119879 119886119909119878 119886119910119862 gt 0 (TGF-120573 and IFN-120574 are secreted bythe cancerous cells and CTLs resp at constant ratethere is base level secretion of TGF-120573)
(10) 119891119906(0) = 119892119906 gt 0 and lim119910rarrinfin119891119906(119910) = 119892119906+119886119906119910 119886119906119910 gt 0(there is a constant basic production of MHC class IIreceptors at the cell surface while IFN-120574 increases thisproduction up to some level)
(11) 119891V(0) = 1 and 119891V(119909) is decreasing to 0 (TGF-120573decreases MHC class II production to 0)
(12) 119892V(0) = 0 119892V(119910) is increasing to 119886119906119910 gt 0 1198921015840V gt 0and lim119910rarrinfin119892
1015840V(119910) = 0 (IFN-120574 is necessary to induce
4 Computational and Mathematical Methods in Medicine
production of MHC class II receptors and increasesup to some level with increase declining to zero)
(13) 119873(119905) equiv 119873 (treatment is assumed to be constant withrespect to time)
Theorem 1 Under the (A2) assumptions system (1) is dissipa-tive on [0 1198701] times [0 1198702] times (Rge0)
5
Proof Let 119888max = max119891119862(119879V + 119878V)119892119862(119909) 119891119909 = (119892119879 + 119892119878) +(1198861199091198791198701 + 1198861199091198781198702) ge 119891119909(119879 + 119878) for all values of 119879 and 119878 119891119910 =119886119910119862119862max where119862max = max(119888max +119873)120583119862 119862(0) 119891119906 = 119892119906 +119886119906119910 and119891V = 119886119906119910These values are well defined based on the(A2) assumptions
In order to show that our system is dissipative we need toconstruct a119882 such that
nabla119882 sdot 119865 le 119860 minus 120575119882 where 119860 120575 gt 0 (9)
where 119865 is the RHS of system (1) Let119882(119879 119878 119862 119909 119910 119906 V) =119879+119878+119862+119909+119910+119906+VThen since1198771(0) = 0 and1198771(1198701) = 01198771(119879)119879 le 1198861 minus 1198871119879 for some 1198861 1198871 gt 0 on [0 1198701] Similarly1198772(119878)119878 le 1198862 minus 1198872119878 for some 1198862 1198872 gt 0 on [0 1198702]Thus
nabla119882 sdot 119865 = 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) 119862119879ℎ119879 (119879)
+ 1198772 (119878) 119878 minus 119891119878 (119909) 119892119878 (119906) 119862119878ℎ119878 (119878)
+ 119891119862 (119879V + 119878V) 119892119862 (119909) minus 120583119862119862 + 119873
+ 119891119909 (119879 + 119878) minus 120583119909119909 + 119891119910 (119862) minus 120583119910119910
+ 119891119906 (119910) minus 120583119906119906 + 119891V (119909) 119892V (119910) minus 120583VV
le 1198861 minus 1198871119879 + 1198862 minus 1198872119878 + 119888max minus 120583119862119862 + 119873 + 119891119909
minus 120583119909119909 + 119891119910 minus 120583119910119910 + 119891119906 minus 120583119906119906 + 119891V minus 120583V
le 119860 minus 120575119882
(10)
where 120575 = min1198871 1198872 120583119862 120583119909 120583119910 120583119906 120583V and 119860 = 1198861 + 1198862 +
119888max + 119873 + 119891119909 + 119891119910 + 119891119906 + 119891V
Since our inequalities1198771(119879)119879 le 1198861minus11988711198791198772(119878)119878 le 1198862minus1198872119878hold for all values of119879 119878 in this space the system is dissipativeeverywhere on [0 1198701] times [0 1198702] times (Rge0)
5 and by a theoremfrom Robinson [18] we get the following corollary
Corollary 2 System (1) has a compact global attractor on[0 1198701] times [0 1198702] times (Rge0)
5
4 Stability Analysis
In the following section we present an analysis of threepotential steady states tumor elimination (where CSC andTC populations are eradicated) recurrence (where the TCpopulation is eradicated but the CSC population persists)and coexistence (where CSC and TC populations persist) Ineach case we discuss sufficiency conditions on the treatmentterm 119873 which will allow for a globally asymptotically stablecure state (tumor elimination)
41 Semitrivial Tumor Elimination We begin our analysiswith tumor elimination Setting 119879 = 0 and 119878 = 0 we findthe equilibrium values
119862lowast=119873
120583119862
119909lowast=119891119909 (0)
120583119909
119910lowast=
119891119910 (119862lowast)
120583119910
119906lowast=119891119906 (119910lowast)
120583119906
Vlowast =119891V (119909lowast) 119892V (119910
lowast)
120583V
(11)
Substituting this equilibrium point into the Jacobian matrix
(((((((((((((((((
(
minus119873119891119878 (119909
lowast) 119892119878 (119906
lowast)
120583119862
+ 1199032 0 0 0 0 0 0
0 minus119873119891119879 (119909
lowast) 119892119879 (119906
lowast)
120583119862
+ 1199031 0 0 0 0 0
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583V
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583Vminus120583119862 0 0 0 0
0 0 1198911015840119910 (119862lowast) minus120583119910 0 0 0
1198911015840119909 (0) 119891
1015840119909 (0) 0 0 minus120583119909 0 0
0 0 0 1198911015840119906 (119910lowast) 0 minus120583119906 0
0 0 0 119891V (119909lowast) 1198921015840V (119910lowast) 1198911015840V (119909lowast) 119892V (119910
lowast) 0 minus120583V
)))))))))))))))))
)
(12)
Computational and Mathematical Methods in Medicine 5
yields eigenvalues 120582 = minus120583119862 minus120583119906 minus120583V minus120583119909 minus120583119910minus119873119891119878(119909
lowast)119892119878(119906lowast)120583119862 + 1199032 and minus119873119891119879(119909
lowast)119892119879(119906
lowast)120583119862 + 1199031 So
as long as we choose119873 large enough so that
119873 gt1199032 sdot 120583119862
119891119878 (119909lowast) 119892119878 (119906
lowast)
119873 gt1199031 sdot 120583119862
119891119879 (119909lowast) 119892119879 (119906
lowast)
(13)
we are guaranteed to have a locally asymptotically stable curestate
We now show that under necessary condition (13) (0 0119862lowast 119909lowast 119910lowast 119906lowast Vlowast) is locally asymptotically stable Let 119873 =
119873lowast where 119873lowast meets condition (13) Then for some initial
conditions there exists 119905120598 such that for 119905 ge 119905120598 119862 gt 119862lowast=
(119873lowast120583119862)(1 minus 120598) for arbitrarily small 120598 If we also let 119910lowast =
(119891119910(119862lowast)120583119910)(1 minus 1205981) and 119906
lowast= (119891119906(119910
lowast)120583119906)(1 minus 1205982) for
1205981 1205982 arbitrarily small we have that 119906 gt 119906lowast from some
starting moment and therefore 119892119879(119906)119862 gt 119892119879(119906lowast)119862lowast By our
assumptions (A1) ℎ119879(119879) ge ℎ119879(1198701) and 119891119879(119909) ge 119891119879(119909max)so if we let 119873lowast be large enough so that 119892119879(119906
lowast)119862lowastgt (1199031 +
119903120572119870214)ℎ119879(1198701)119891119879(119909max) then we have that
1198791015840le minus1198861119879
where 1198861 = 119892119879 (119906lowast) 119862lowastminus
1199031 + 119903120572119870214
ℎ119879 (1198701) 119891119879 (119909max)gt 0
(14)
A parallel argument works to show that for119873lowast large enough
1198781015840le minus1198862119878
where 1198862 = 119892119878 (119906lowast) 119862lowastminus
1199032
ℎ119878 (1198702) 119891119878 (119909max)gt 0
(15)
Thus by increasing the treatment value119873 we are able to showthat for some set of initial conditions the CSC population119878 and TC population 119879 decay exponentially to 0 leading totumor elimination
42 Persistence of Tumor We now wish to consider steadystates in which some subset of cancer cell populations persistLet our hypothetical equilibrium point be (119879119901 119878119901 119862119901 119909119901119910119901 119906119901 V119901) where 119878119901 gt 0Then
119909119901 =
119891119909 (119879119901 + 119878119901)
120583119909
119910119901 =
119891119910 (119862119901)
120583119910
119906119901 =
119891119906 (119910119901)
120583119906
V119901 =119891V (119909119901) 119892V (119910119901)
120583V
(16)
We wish to show existence of 119879119901 119878119901 gt 0 and 119862119901 gt 0 To doso we must solve the system
1198771 (119879119901) + 120572 (119879119901 119878119901) = 119891119879(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119879(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119879 (119879119901) 119862119901
1198772 (119878119901) 119878119901 = 120572 (119879119901 119878119901) 119879119901 + 119891119878(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119878(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119878 (119878119901) 119878119901119862119901
120583119862119862119901
= 119891119862(
119891V (119891119909 (119879119901 + 119878119901) 120583119909) 119892V (119891119910 (119862119901) 120583119910) (119879119901 + 119878119901)
120583V)
sdot 119892119862(
119891119909 (119879119901 + 119878119901)
120583119909
) +119873
(17)
Defining the auxiliary function
119867119879119878 (119862)
= 119891119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862119862 + 119873
(18)
we see that for every 119879 119878 ge 0119867119879119878(0) = 119873 gt 0In addition taking the derivative with respect to119862 we get
1198671015840119879119878 (119862)
= 1198911015840119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot119891V (119891119909 (119879 + 119878) 120583119909) (119879 + 119878)
120583V1198921015840V (
119891119910 (119862)
120583119910
)
1198911015840119910 (119862)
120583119910
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862
(19)
From assumptions (A2) we have that 1198671015840119879119878(119862) is decreasingso there is exactly one positive 119862 for which 119867119879119878(119862) = 0 forany given 119879 119878 Thus such 119862119901 gt 0 exists but to further solvesystem (17) we need more information about the arbitraryfunctions present
To move forward in the analysis of system (8) we willneed to make the following simplifying assumptions (A3)
(1) The dynamics of TGF-120573 are much faster than those ofthe other system components
(2) The inflow of CTLs is constant
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
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Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
4 Computational and Mathematical Methods in Medicine
production of MHC class II receptors and increasesup to some level with increase declining to zero)
(13) 119873(119905) equiv 119873 (treatment is assumed to be constant withrespect to time)
Theorem 1 Under the (A2) assumptions system (1) is dissipa-tive on [0 1198701] times [0 1198702] times (Rge0)
5
Proof Let 119888max = max119891119862(119879V + 119878V)119892119862(119909) 119891119909 = (119892119879 + 119892119878) +(1198861199091198791198701 + 1198861199091198781198702) ge 119891119909(119879 + 119878) for all values of 119879 and 119878 119891119910 =119886119910119862119862max where119862max = max(119888max +119873)120583119862 119862(0) 119891119906 = 119892119906 +119886119906119910 and119891V = 119886119906119910These values are well defined based on the(A2) assumptions
In order to show that our system is dissipative we need toconstruct a119882 such that
nabla119882 sdot 119865 le 119860 minus 120575119882 where 119860 120575 gt 0 (9)
where 119865 is the RHS of system (1) Let119882(119879 119878 119862 119909 119910 119906 V) =119879+119878+119862+119909+119910+119906+VThen since1198771(0) = 0 and1198771(1198701) = 01198771(119879)119879 le 1198861 minus 1198871119879 for some 1198861 1198871 gt 0 on [0 1198701] Similarly1198772(119878)119878 le 1198862 minus 1198872119878 for some 1198862 1198872 gt 0 on [0 1198702]Thus
nabla119882 sdot 119865 = 1198771 (119879) 119879 minus 119891119879 (119909) 119892119879 (119906) 119862119879ℎ119879 (119879)
+ 1198772 (119878) 119878 minus 119891119878 (119909) 119892119878 (119906) 119862119878ℎ119878 (119878)
+ 119891119862 (119879V + 119878V) 119892119862 (119909) minus 120583119862119862 + 119873
+ 119891119909 (119879 + 119878) minus 120583119909119909 + 119891119910 (119862) minus 120583119910119910
+ 119891119906 (119910) minus 120583119906119906 + 119891V (119909) 119892V (119910) minus 120583VV
le 1198861 minus 1198871119879 + 1198862 minus 1198872119878 + 119888max minus 120583119862119862 + 119873 + 119891119909
minus 120583119909119909 + 119891119910 minus 120583119910119910 + 119891119906 minus 120583119906119906 + 119891V minus 120583V
le 119860 minus 120575119882
(10)
where 120575 = min1198871 1198872 120583119862 120583119909 120583119910 120583119906 120583V and 119860 = 1198861 + 1198862 +
119888max + 119873 + 119891119909 + 119891119910 + 119891119906 + 119891V
Since our inequalities1198771(119879)119879 le 1198861minus11988711198791198772(119878)119878 le 1198862minus1198872119878hold for all values of119879 119878 in this space the system is dissipativeeverywhere on [0 1198701] times [0 1198702] times (Rge0)
5 and by a theoremfrom Robinson [18] we get the following corollary
Corollary 2 System (1) has a compact global attractor on[0 1198701] times [0 1198702] times (Rge0)
5
4 Stability Analysis
In the following section we present an analysis of threepotential steady states tumor elimination (where CSC andTC populations are eradicated) recurrence (where the TCpopulation is eradicated but the CSC population persists)and coexistence (where CSC and TC populations persist) Ineach case we discuss sufficiency conditions on the treatmentterm 119873 which will allow for a globally asymptotically stablecure state (tumor elimination)
41 Semitrivial Tumor Elimination We begin our analysiswith tumor elimination Setting 119879 = 0 and 119878 = 0 we findthe equilibrium values
119862lowast=119873
120583119862
119909lowast=119891119909 (0)
120583119909
119910lowast=
119891119910 (119862lowast)
120583119910
119906lowast=119891119906 (119910lowast)
120583119906
Vlowast =119891V (119909lowast) 119892V (119910
lowast)
120583V
(11)
Substituting this equilibrium point into the Jacobian matrix
(((((((((((((((((
(
minus119873119891119878 (119909
lowast) 119892119878 (119906
lowast)
120583119862
+ 1199032 0 0 0 0 0 0
0 minus119873119891119879 (119909
lowast) 119892119879 (119906
lowast)
120583119862
+ 1199031 0 0 0 0 0
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583V
119891V (119909lowast) 119892119862 (119909
lowast) 119892V (119909
lowast) 1198911015840119862 (0)
120583Vminus120583119862 0 0 0 0
0 0 1198911015840119910 (119862lowast) minus120583119910 0 0 0
1198911015840119909 (0) 119891
1015840119909 (0) 0 0 minus120583119909 0 0
0 0 0 1198911015840119906 (119910lowast) 0 minus120583119906 0
0 0 0 119891V (119909lowast) 1198921015840V (119910lowast) 1198911015840V (119909lowast) 119892V (119910
lowast) 0 minus120583V
)))))))))))))))))
)
(12)
Computational and Mathematical Methods in Medicine 5
yields eigenvalues 120582 = minus120583119862 minus120583119906 minus120583V minus120583119909 minus120583119910minus119873119891119878(119909
lowast)119892119878(119906lowast)120583119862 + 1199032 and minus119873119891119879(119909
lowast)119892119879(119906
lowast)120583119862 + 1199031 So
as long as we choose119873 large enough so that
119873 gt1199032 sdot 120583119862
119891119878 (119909lowast) 119892119878 (119906
lowast)
119873 gt1199031 sdot 120583119862
119891119879 (119909lowast) 119892119879 (119906
lowast)
(13)
we are guaranteed to have a locally asymptotically stable curestate
We now show that under necessary condition (13) (0 0119862lowast 119909lowast 119910lowast 119906lowast Vlowast) is locally asymptotically stable Let 119873 =
119873lowast where 119873lowast meets condition (13) Then for some initial
conditions there exists 119905120598 such that for 119905 ge 119905120598 119862 gt 119862lowast=
(119873lowast120583119862)(1 minus 120598) for arbitrarily small 120598 If we also let 119910lowast =
(119891119910(119862lowast)120583119910)(1 minus 1205981) and 119906
lowast= (119891119906(119910
lowast)120583119906)(1 minus 1205982) for
1205981 1205982 arbitrarily small we have that 119906 gt 119906lowast from some
starting moment and therefore 119892119879(119906)119862 gt 119892119879(119906lowast)119862lowast By our
assumptions (A1) ℎ119879(119879) ge ℎ119879(1198701) and 119891119879(119909) ge 119891119879(119909max)so if we let 119873lowast be large enough so that 119892119879(119906
lowast)119862lowastgt (1199031 +
119903120572119870214)ℎ119879(1198701)119891119879(119909max) then we have that
1198791015840le minus1198861119879
where 1198861 = 119892119879 (119906lowast) 119862lowastminus
1199031 + 119903120572119870214
ℎ119879 (1198701) 119891119879 (119909max)gt 0
(14)
A parallel argument works to show that for119873lowast large enough
1198781015840le minus1198862119878
where 1198862 = 119892119878 (119906lowast) 119862lowastminus
1199032
ℎ119878 (1198702) 119891119878 (119909max)gt 0
(15)
Thus by increasing the treatment value119873 we are able to showthat for some set of initial conditions the CSC population119878 and TC population 119879 decay exponentially to 0 leading totumor elimination
42 Persistence of Tumor We now wish to consider steadystates in which some subset of cancer cell populations persistLet our hypothetical equilibrium point be (119879119901 119878119901 119862119901 119909119901119910119901 119906119901 V119901) where 119878119901 gt 0Then
119909119901 =
119891119909 (119879119901 + 119878119901)
120583119909
119910119901 =
119891119910 (119862119901)
120583119910
119906119901 =
119891119906 (119910119901)
120583119906
V119901 =119891V (119909119901) 119892V (119910119901)
120583V
(16)
We wish to show existence of 119879119901 119878119901 gt 0 and 119862119901 gt 0 To doso we must solve the system
1198771 (119879119901) + 120572 (119879119901 119878119901) = 119891119879(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119879(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119879 (119879119901) 119862119901
1198772 (119878119901) 119878119901 = 120572 (119879119901 119878119901) 119879119901 + 119891119878(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119878(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119878 (119878119901) 119878119901119862119901
120583119862119862119901
= 119891119862(
119891V (119891119909 (119879119901 + 119878119901) 120583119909) 119892V (119891119910 (119862119901) 120583119910) (119879119901 + 119878119901)
120583V)
sdot 119892119862(
119891119909 (119879119901 + 119878119901)
120583119909
) +119873
(17)
Defining the auxiliary function
119867119879119878 (119862)
= 119891119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862119862 + 119873
(18)
we see that for every 119879 119878 ge 0119867119879119878(0) = 119873 gt 0In addition taking the derivative with respect to119862 we get
1198671015840119879119878 (119862)
= 1198911015840119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot119891V (119891119909 (119879 + 119878) 120583119909) (119879 + 119878)
120583V1198921015840V (
119891119910 (119862)
120583119910
)
1198911015840119910 (119862)
120583119910
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862
(19)
From assumptions (A2) we have that 1198671015840119879119878(119862) is decreasingso there is exactly one positive 119862 for which 119867119879119878(119862) = 0 forany given 119879 119878 Thus such 119862119901 gt 0 exists but to further solvesystem (17) we need more information about the arbitraryfunctions present
To move forward in the analysis of system (8) we willneed to make the following simplifying assumptions (A3)
(1) The dynamics of TGF-120573 are much faster than those ofthe other system components
(2) The inflow of CTLs is constant
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
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Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Computational and Mathematical Methods in Medicine
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Research and TreatmentAIDS
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Computational and Mathematical Methods in Medicine 5
yields eigenvalues 120582 = minus120583119862 minus120583119906 minus120583V minus120583119909 minus120583119910minus119873119891119878(119909
lowast)119892119878(119906lowast)120583119862 + 1199032 and minus119873119891119879(119909
lowast)119892119879(119906
lowast)120583119862 + 1199031 So
as long as we choose119873 large enough so that
119873 gt1199032 sdot 120583119862
119891119878 (119909lowast) 119892119878 (119906
lowast)
119873 gt1199031 sdot 120583119862
119891119879 (119909lowast) 119892119879 (119906
lowast)
(13)
we are guaranteed to have a locally asymptotically stable curestate
We now show that under necessary condition (13) (0 0119862lowast 119909lowast 119910lowast 119906lowast Vlowast) is locally asymptotically stable Let 119873 =
119873lowast where 119873lowast meets condition (13) Then for some initial
conditions there exists 119905120598 such that for 119905 ge 119905120598 119862 gt 119862lowast=
(119873lowast120583119862)(1 minus 120598) for arbitrarily small 120598 If we also let 119910lowast =
(119891119910(119862lowast)120583119910)(1 minus 1205981) and 119906
lowast= (119891119906(119910
lowast)120583119906)(1 minus 1205982) for
1205981 1205982 arbitrarily small we have that 119906 gt 119906lowast from some
starting moment and therefore 119892119879(119906)119862 gt 119892119879(119906lowast)119862lowast By our
assumptions (A1) ℎ119879(119879) ge ℎ119879(1198701) and 119891119879(119909) ge 119891119879(119909max)so if we let 119873lowast be large enough so that 119892119879(119906
lowast)119862lowastgt (1199031 +
119903120572119870214)ℎ119879(1198701)119891119879(119909max) then we have that
1198791015840le minus1198861119879
where 1198861 = 119892119879 (119906lowast) 119862lowastminus
1199031 + 119903120572119870214
ℎ119879 (1198701) 119891119879 (119909max)gt 0
(14)
A parallel argument works to show that for119873lowast large enough
1198781015840le minus1198862119878
where 1198862 = 119892119878 (119906lowast) 119862lowastminus
1199032
ℎ119878 (1198702) 119891119878 (119909max)gt 0
(15)
Thus by increasing the treatment value119873 we are able to showthat for some set of initial conditions the CSC population119878 and TC population 119879 decay exponentially to 0 leading totumor elimination
42 Persistence of Tumor We now wish to consider steadystates in which some subset of cancer cell populations persistLet our hypothetical equilibrium point be (119879119901 119878119901 119862119901 119909119901119910119901 119906119901 V119901) where 119878119901 gt 0Then
119909119901 =
119891119909 (119879119901 + 119878119901)
120583119909
119910119901 =
119891119910 (119862119901)
120583119910
119906119901 =
119891119906 (119910119901)
120583119906
V119901 =119891V (119909119901) 119892V (119910119901)
120583V
(16)
We wish to show existence of 119879119901 119878119901 gt 0 and 119862119901 gt 0 To doso we must solve the system
1198771 (119879119901) + 120572 (119879119901 119878119901) = 119891119879(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119879(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119879 (119879119901) 119862119901
1198772 (119878119901) 119878119901 = 120572 (119879119901 119878119901) 119879119901 + 119891119878(
119891119909 (119879119901 + 119878119901)
120583119909
)
sdot 119892119878(
119891119906 (119891119910 (119862119901120583119910))
120583119906
)ℎ119878 (119878119901) 119878119901119862119901
120583119862119862119901
= 119891119862(
119891V (119891119909 (119879119901 + 119878119901) 120583119909) 119892V (119891119910 (119862119901) 120583119910) (119879119901 + 119878119901)
120583V)
sdot 119892119862(
119891119909 (119879119901 + 119878119901)
120583119909
) +119873
(17)
Defining the auxiliary function
119867119879119878 (119862)
= 119891119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862119862 + 119873
(18)
we see that for every 119879 119878 ge 0119867119879119878(0) = 119873 gt 0In addition taking the derivative with respect to119862 we get
1198671015840119879119878 (119862)
= 1198911015840119862(
119891V (119891119909 (119879 + 119878) 120583119909) 119892V (119891119910 (119862) 120583119910) (119879 + 119878)
120583V)
sdot119891V (119891119909 (119879 + 119878) 120583119909) (119879 + 119878)
120583V1198921015840V (
119891119910 (119862)
120583119910
)
1198911015840119910 (119862)
120583119910
sdot 119892119862 (119891119909 (119879 + 119878)
120583119909
) minus 120583119862
(19)
From assumptions (A2) we have that 1198671015840119879119878(119862) is decreasingso there is exactly one positive 119862 for which 119867119879119878(119862) = 0 forany given 119879 119878 Thus such 119862119901 gt 0 exists but to further solvesystem (17) we need more information about the arbitraryfunctions present
To move forward in the analysis of system (8) we willneed to make the following simplifying assumptions (A3)
(1) The dynamics of TGF-120573 are much faster than those ofthe other system components
(2) The inflow of CTLs is constant
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
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Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
6 Computational and Mathematical Methods in Medicine
With these assumptions we can assume 119909 is determined byits steady-state 119909lowast = 119891119909(119879 + 119878)120583119909 and we get the simplifiedsystem
1198791015840= 120572 (119879 119878) + 1198771 (119879) 119879 minus 119891119879 (119879 119878) 119892119879 (119906) ℎ119879 (119879) 119879119862
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 119891119878 (119879 119878) 119892119878 (119906) ℎ119878 (119878) 119878119862
1198621015840= minus120583119862119862 + 119873
1199101015840= 119891119910 (119862) minus 120583119910119910
1199061015840= 119891119906 (119910) minus 120583119906119906
V1015840 = 119891V (119879 119878) 119892V (119910) minus 120583VV
(20)
where
119891119879 (119879 119878) = 119891119879 (119891119909 (119879 + 119878)
120583119909
)
119891119878 (119879 119878) = 119891119878 (119891119909 (119879 + 119878)
120583119909
)
119892119862 (119879 119878) = 119892119862 (119891119909 (119879 + 119878)
120583119909
)
119891V (119879 119878) = 119891V (119891119909 (119879 + 119878)
120583119909
)
(21)
Note that if 119879 = 0 these equations will simply be referred toin terms of 119878 and vice versa
With simplifying assumptions (A3) we are able to studythe possible dynamics of persistence of cancer recurrenceand coexistence in the following subsections
43 Recurrence State Stability Weknow that for system (20)the equilibrium points for 119862 119910 and 119906 must be 119862lowast = 119873120583119862119910lowast= 119891119910(119862
lowast)120583119910 and 119906
lowast= 119891119906(119910
lowast)120583119906 In this section we
wish to study the recurrence steady state so we will set theTC population 119879 = 0 and observe the consequences for theCSC population steady state
1198781015840= 1198772 (119878
lowast) 119878lowastminus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119878lowast119862lowast= 0 (22)
119878lowast will be a steady state when 119878lowast = 0 or
1198772 (119878lowast) minus 119891119878 (119878
lowast) 119892119878 (119906
lowast) ℎ119878 (119878
lowast) 119862lowast= 0 (23)
For further analysis we denote
119866 (119873) = 119892119878 (119906lowast(119873)) 119862
lowast(119873)
119867 (119878) = 119891119878 (119878) ℎ119878 (119878)
(24)
where 119906lowast(119873) = 119891119906(119873)120583119906 Note that (23) now becomes
1198772 (119878lowast) minus 119866 (119873)119867 (119878
lowast) = 0 (25)
where 119866(119873) is increasing in119873 at least linearly and 1198772(119878) and119867(119878) are both decreasing We recall from assumptions (A2)that 1198772(1198702) = 0 and119867(1198702) = 119891119878(1198702)ℎ119878(1198702) gt 0 We define
119871119873 (119878) = 1198772 (119878) minus 119866 (119873)119867 (119878) (26)
for which we know 119871119873(1198702) lt 0 for any119873 gt 0
We also know that 119871119873(0) = 1198772(0)minus119866(119873)119891119878(119892119909120583119909) Since119866(119873) is an increasing function its inverse exists and we candefine 119873min = 119866
minus1(1198772(0)119891119878(119892119909120583119909)) Notice that for 119873 =
119873min 119871119873(0) = 0 For119873 lt 119873min 119871119873(0) gt 0 and 119871119873(1198702) lt 0Therefore for119873 lt 119873min 119871119873(119878) = 0 has at least one solution119878lowastisin (0 1198702) and in general since the functionmust cross the
119878-axis an odd number of times there are an odd number ofsolutions 119878lowast1 119878
lowast119899
Without loss of generality we can assume 119862 119910 and 119906 areat their respective steady states since these variables will allconverge to their steady-state values exponentially We canalso assume that for large enough 119905 (20) is arbitrarily wellapproximated by
1198781015840= 1198772 (119878) 119878 minus 119867 (119878) 119866 (119873) 119878 = 119878119871119873 (119878) (27)
For119873 lt 119873min the equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast)is unstable since any values of 119878 less than 0 will yield anegative value for 119871119873(119878) and any values of 119878 between 0 and119878lowast1 will yield a positive value for 119871119873(119878) Thus our first stableequilibrium point is at (0 119878lowast1 119862
lowast 119910lowast 119906lowast Vlowast)
In contrast if 119873 is large enough so that 119873 gt 119873minour equilibrium point (0 0 119862lowast 119910lowast 119906lowast Vlowast) is locally stablesince for 119873 gt 119873min 119871119873(0) lt 0 There could however stillexist positive solutions 119878lowast1 119878
lowast119899 where 119899 is even If these
solutions are organized in nondecreasing order 119878lowast119894 is locallystable for even 119894 and unstable for odd 119894 since 119871119873(119878) gt 0
between an odd and even root and 119871119873(119878) lt 0 between aneven and odd root Note that if (0 0 119862lowast 119910lowast 119906lowast Vlowast) is the onlyequilibrium point it is globally asymptotically stable
We now show that if we increase our treatment term119873 we can guarantee the existence of a globally asymp-totically stable cure state Let alefsym be the maximum of1198772(119878)119866(119873min)119867(119878) and choose 119873thr such that 119866(119873thr) =
119866(119873min)alefsym Notice that this is possible since 119866(119873) is increas-ing and continuous Then for 119873 gt 119873thr 119871119873(119878) lt 0 for all0 le 119878 le 1198702 and so (0 0 119862lowast 119910lowast 119906lowast Vlowast) is now a globallyasymptotically stable equilibrium point
44 Coexistence State Stability Still working under simplify-ing assumptions (A3) we conclude our stability analysis withconsideration of a coexistence steady state As above for largevalues of 119905 we can expect119862 119910 and 119906 to be at steady state andso we can reduce our system to the two equations
1198791015840= 1198771 (119879) 119879 + 120572 (119879 119878) minus 1198671 (119879 119878) 1198661 (119873) 119879
= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
equiv 1198791198721 (119879 119878)
1198781015840= 1198772 (119878) 119878 minus 120572 (119879 119878) minus 1198672 (119879 119878) 1198662 (119873) 119878
= 119878(1198712 (119879 119878) minus 119903120572
119879
11987021198701
(1198701 minus 119879)) equiv 1198781198722 (119879 119878)
(28)
where 1198661(119873) = 119892119879(119906lowast(119873))119862
lowast(119873) 1198671(119879 119878) = 119891119879(119879
119878)ℎ119879(119879) 1198662(119873) = 119892119878(119906lowast(119873))119862
lowast(119873) and 1198672(119879 119878) =
119891119878(119879 119878)ℎ119878(119878) Define 119873min = min119873min119879 119873min119878 where
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
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BioMed Research International
OncologyJournal of
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Oxidative Medicine and Cellular Longevity
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Computational and Mathematical Methods in Medicine
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Research and TreatmentAIDS
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Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Computational and Mathematical Methods in Medicine 7
119873min119879 = 119866minus11 (1198771(0)119891119879(119892119909120583119909)) and 119873min119878 = 119866
minus12 ((1198772(0) minus
119903120572119870141198702)119891119878(119892119909120583119909))
Proposition 3 For119873 lt 119873min system (28) has a locally stablecoexistence steady state
Proof We begin by showing the existence of such a steadystateWithout loss of generality suppose119873min = 119873min119878Thenfor values of 119873 lt 119873min 1198722(119879 0) gt 0 and 1198722(1198791198702) lt 0
for all values of 119879 isin (0 1198701) Therefore there exists a value119878lowastisin (0 1198702) such that 1198722(119879 119878
lowast) = 0 for any 119879 isin (0 1198701)
In general there exist an odd number of solutions 119878lowast1 119878lowast119899
such that1198722(119879 119878lowast119894 ) = 0 for any 119879 isin (0 1198701) 119894 = 1 119899
Likewise by our choice of 119873min 1198721(0 119878) gt 0 and1198721(1198701 119878) lt 0 for all values of 119878 isin (0 1198702) Therefore for119873 lt 119873min there exists a value 119879lowast isin (0 1198701) such that1198721(119879
lowast 119878) = 0 for all 119878 isin (0 1198702) and in general there exist an
odd number of solutions 119879lowast1 119879lowast119898 such that1198721(119879
lowast119895 119878) = 0
for any 119878 isin (0 1198702) 119895 = 1 119898Thus we are able to deduce the existence of an equi-
librium point (119879lowast 119878lowast) in (0 1198701) times (0 1198702) for system (28)Moreover notice that while (0 0) is an equilibrium point ofsystem (28) it is unstable since1198721(119879 119878) gt 0 for 0 le 119879 lt 119879
lowast1
119878 isin (0 1198702) and1198722(119879 119878) gt 0 for 0 le 119878 lt 119878lowast1 119879 isin (0 1198701)
In fact if we denote 1198790 = 0 and 1198780 = 0 equilibrium points(119879lowast119895 119878lowast119894 ) 119895 = 0 119898 119894 = 0 119899 are locally unstable when
119894 or 119895 is even and locally stable when 119894 and 119895 are odd
Remark 4 Note that in the absence of treatment 119873 = 0 lt
119873minTherefore in the case where the tumor is left untreatedcancer persists
We now show that by increasing the treatment term 119873we will achieve a globally asymptotically stable cure steadystate For119873 ge 119873min let us consider the system
1198791015840= 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 1198781198712 (119879 119878)
(29)
Define alefsym119878 as the maximum of 1198772(119878)1198662(119873min119878)1198672(1198701 119878)and choose 119873thr119878 such that 1198662(119873thr119878) = 1198662(119873min119878)alefsym119878Similarly let alefsym119879 be the maximum of (1198771(119879) + 1199031205721198701)
1198661(119873min119879)1198671(1198791198702) and choose 119873thr119879 such that1198661(119873thr119879) = 1198661(119873min119879)alefsym119879 Let119873cure = max119873thr119879 119873thr119878
Proposition 5 For 119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoti-cally stable equilibrium point of system (29)
Proof For119873 gt 119873thr119879
1198711 (119879 119878) + 1199031205721198701 lt 1198771 (119879) minus 1198661 (119873thr119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) minus alefsym1198791198661 (119873min119879)1198671 (119879 119878)
+ 1199031205721198701
= 1198771 (119879) + 1199031205721198701
minus1198671 (119879 119878)
1198671 (1198791198701)(1198771 (119879) + 1199031205721198701) le 0
(30)
for 0 le 119879 le 1198701 since1198671 is decreasing based on assumptions(A2)Thus 1198711(119879 119878)+1199031205721198701 lt 0 for all (119879 119878) isin [0 1198701]times[0 1198702]Similarly for 119873 gt 119873thr119878 1198712(119879 119878) lt 0 for all (119879 119878) isin
[0 1198701] times [0 1198702] Therefore (0 0) is the only equilibriumpoint for system (29) and (0 0) is globally asymptoticallystable
We conclude our analysis by noting that
1198791015840= 119879(1198711 (119879 119878) + 119903120572
119878
11987021198701
(1198701 minus 119879))
le 119879 (1198711 (119879 119878) + 1199031205721198701)
1198781015840= 119878(1198712 (119879 119878) minus 119903120572
119879
1198702
(1198701 minus 119879)) le 1198781198712 (119879 119878)
(31)
for all (119879 119878) isin [0 1198701] times [0 1198702]
Corollary 6 For119873 gt 119873119888119906119903119890 (0 0) is a globally asymptoticallystable equilibrium solution to system (28)
5 Example
In this section we present an example to illustrate thetheory presented above This model is a modification ofthe biologically verified system presented in Kronik et al[10] to address the CSC Hypothesis as presented in thispaper Modifications include the incorporation of CSCs andamending the CTL equation to satisfy assumptions (A3)Consider the following system
119889119879
119889119905
= 1199031119879(1 minus119879
1198701
) + 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119879
119872I119872I + 119890119879
(119886119879120573 +
119890119879120573 (1 minus 119886119879120573)
119865120573 + 119890119879120573
)119862119879
ℎ119879 + 119879
119889119878
119889119905
= 1199032119878 (1 minus119878
1198702
) minus 119903120572
119879
1198701
119878
1198702
(1198701 minus 119879)
minus 119886119878
119872I119872I + 119890119878
(119886119878120573 +
119890119878120573 (1 minus 119886119878120573)
119865120573 + 119890119878120573
)119862119878
ℎ119878 + 119878
119889119862
119889119905= minus120583119862119862 + 119873
119889119865120573
119889119905= 119892120573 + 119886120573119879119879 + 119886120573119878119878 minus 120583120573119865120573
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
8 Computational and Mathematical Methods in Medicine
Table 1 Parameter values
Parameter Value Units Reference1199031 001 hminus1 Based on data from Burger et al [19]1198701 10
8 Cell Turner et al [20]119886119879 12 hminus1 Based on data from Arciero et al [21] and Wick et al [22]119890119879 50 recsdotcellminus1 Based on data from Kageyama et al [23]119886119879120573 69 None Thomas and Massague [2]119890119879120573 10
4 pg Based on data from Peterson et al [24]ℎ119879 5 lowast 10
8 Cell Based on data from Kruse et al [14]1199032 1 hminus1 Vainstein et al [8]1198702 10
7 Cell Turner et al [20]119903120572 006 hminus1 Vainstein et al [8]119886119878 1 lowast 119886119879 hminus1 Estimated based on data from Prince et al [11]119890119878 119890119879 recsdotcellminus1 Estimated119886119878120573 119886119879120573 None Estimated119890119878120573 119890119879120573 pg Estimatedℎ119878 ℎ119879 Cell Estimated120583119862 007 hminus1 Taylor et al [25]119892120573 63945 lowast 10
4 pgsdothminus1 Peterson et al [24]119886120573119879 575 lowast 10
minus6 pgsdotcellminus1sdothminus1 Peterson et al [24]119886120573119878 119886120573119879 pgsdotcellminus1sdothminus1 Estimated120583120573 7 hminus1 Coffey Jr et al [26]119892119872I
144 recsdotcellminus1sdothminus1 Based on data from Kageyama et al [23]119886119872I 120574
288 recsdotcellminus1sdothminus1 Based on data from Yang et al [27]119890119872I 120574
338 lowast 105 pg Based on data from Yang et al [27]
120583119872I0144 hminus1 Milner et al [28]
119886119872II 1205748660 recsdotcellminus1sdothminus1 Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119890119872II 1205741420 pg Based on data from Phillips et al [29] and Bosshart and Jarrett [30]
119886119872II 120573012 None Based on data from Suzumura et al [17]
119890119872II 120573105 pg Based on data from Suzumura et al [17]
120583119872II0144 hminus1 Based on data from Lazarski et al [31]
119886120574119862 102 lowast 10minus4 pgsdotcellminus1sdothminus1 Kim et al [32]
120583120574 102 hminus1 Turner et al [33]
119889119865120574
119889119905= 119886120574119862119862 minus 120583120574119865120574
119889119872I119889119905
= 119892119872I+
119886119872I 120574119865120574
119865120574 + 119890119872I 120574
minus 120583119872I119872I
119889119872II119889119905
=
119886119872II 120574119865120574
119865120574 + 119890119872II 120574
(
119890119872II 120573(1 minus 119886119872II 120573
)
119865120573 + 119890119872II 120573
+ 119886119872II 120573)
minus 120583119872II119872II
(32)
subject to the initial conditions 119879(0) = 70 119878(0) = 30 119862(0) =250 119865120573(0) = 50 119865120574(0) = 50119872I(0) = 50 and119872II(0) = 50Parameter values are given by Table 1 calculations for theseparameter values can be found in [8 10 20]
The equilibrium values for 119862 119865120573 119865120574119872I and119872II are
119862lowast=119873
120583119862
119865lowast120573 =
119892120573 + 119886120573119878119878 + 119886120573119879119879
120583120573
119865lowast120574 =
119886120574119862119862lowast
120583120574
119872lowastI =
119890119872I 120574119892119872I
+ (119886119872I 120574+ 119892119872I
) 119865lowast120574
120583119872I(119890119872I 120574
+ 119865lowast120574 )
119872lowastII =
119886119872II 120574(119890119872II 120573
+ 119886119872II 120573119865lowast120573 ) 119865lowast120574
120583119872II(119890119872II 120573
+ 119865lowast120573) (119890119872II 120574
+ 119865lowast120574 )
(33)
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Computational and Mathematical Methods in Medicine 9
Tumor cells times 108
CSCs times 107
CTLs times 100
05
10
15
20
25
2000500 1000 30002500 35001500
Figure 1119873 = 0
Following calculations from Section 44 we get 1198661(119873) =(119886119879(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
))(119892119872I+ 119886119872I 120574
119865lowast120574 (119865lowast120574 +
119890119872I 120574) + 119890119879))(119873120583119862) and 1198662(119873) = (119886119878(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 +
119890119872I 120574))(119892119872I
+ 119886119872I 120574119865lowast120574 (119865lowast120574 + 119890119872I 120574
) + 119890119878))(119873120583119862) This gives
119873min119879
= 119866minus11 (
1199031
119886119879120573 + 119890119879120573 (1 minus 119886119879120573) (119892120573120583120573 + 119890119879120573)
)
= 119866minus11 (00117) = 00245
119873min119878
= 119866minus12 (
1199032 minus 119903120572119870141198702
119886119878120573 + 119890119878120573 (1 minus 119886119878120573) (119892120573120583120573 + 119890119878120573)
)
= 119866minus12 (09976) = 207889
(34)
Thus in the case of no treatment cancer will persist (seeFigure 1)
When we increase treatment past 119873min we are able tofind initial conditions that will allow a locally stable cureor recurrence state This can be seen by adding a treatmentvalue of119873 = 1 and increasing our initial amount of CTLs to119862(0) = 25 lowast 10
10 (see Figure 2)When wemaximize (1198771(119879)+1199031205721198701)1198661(119873min119879)1198671(1198791198702)
on the interval [0 1198701] we calculate alefsym119879 = 360322 lowast 1017
Similarly when we maximize 1198772(119878)1198662(119873min119878)1198672(119879 119878) onthe interval [0 1198702] we calculate alefsym119878 = 14866 lowast 10
15 Since
1198661(119873min119879) = 00245 and 1198662(119873min119878) = 207889 we have
119873thr119879 = 119866minus11 (00245 lowast 360322 lowast 10
17)
= 310199 lowast 1014
119873thr119878 = 119866minus12 (207889 lowast 14866 lowast 10
15)
= 108783 lowast 1015
(35)
Tumor cells times 70
CSCs times 107
CTLs times 1010
1000 1500 2000 2500 3000 3500500
05
10
15
20
25
Figure 2 A locally stable recurrence state
Tumor cells times 105
CSCs times 105
1
2
3
4
5
6
7
004 006 008 010002
Figure 3 Even with large initial populations of tumor cells 119879(0) =7lowast10
5 and CSCs 119878(0) = 3lowast105 a cure state is rapidly achieved when119873 = 108783 lowast 10
15
Taking the maximum of these two values we find119873cure =
108783 lowast 1015 (see Figure 3)
6 Conclusion
In this paper we extend a previous model for the treatment ofglioblastomamultiformewith immunotherapy by accountingfor the existence of cancer stem cells that can lead to therecurrence of cancer when not treated to completion Weprove existence of a coexistence steady state (one where bothtumor and cancer stem cells survive treatment) a recurrencesteady state (one where cancer stem cells survive treatmentbut tumor cells do not hence upon discontinuation oftreatment the tumor would be repopulated by the survivingcancer stemcells) and a cure state (onewhere both tumor andcancer stem cells are eradicated by treatment) Furthermorewe categorize the stability of the previously mentioned steadystates depending on the amount of treatment administeredFinally in each case we establish sufficiency conditions onthe treatment term for the existence of a globally asymptot-ically stable cure state It should be noted that the amount
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
10 Computational and Mathematical Methods in Medicine
of treatment necessary to eliminate all cancer stem cells aswell as tumor cells is higher than the amount of treatmentnecessary to merely eliminate tumor cells based on the lowervalue of 119892119878 (see (A2)) These results are an improvementon previous models that do not account for the existence ofcancer stem cells and therefore yield an artificially low valueof treatment necessary for a cure state
However it is important to note that the values oftreatment for which we achieve a globally stable cure stateare sufficient but not necessary We make the assumptionthat the production of cytotoxic-T-lymphocytes is constant inorder to simplify our analysis (see (A2) and (A3)) leading toa potentially higher-than-necessary value of treatment (sincethe treatment would ordinarily be helped along by the bodyrsquosnatural production of CTLs not relying on the treatment119873alone) A natural extension of this work would account forthe bodyrsquos natural production of CTLs in the analysis of therecurrence and coexistence steady states as well as allowingthe treatment term119873 to vary over time
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This material is based upon work supported by the NationalScience Foundation under Grant no DMS-1358534
References
[1] Y Louzoun C Xue G B Lesinski and A Friedman ldquoA math-ematical model for pancreatic cancer growth and treatmentsrdquoJournal of Theoretical Biology vol 351 pp 74ndash82 2014
[2] D A Thomas and J Massague ldquoTGF-120573 directly targetscytotoxic T cell functions during tumor evasion of immunesurveillancerdquo Cancer Cell vol 8 no 5 pp 369ndash380 2005
[3] J Mason A stochastic Markov chain model to describe cancermetastasis [PhD thesis] University of Southern California2013
[4] N L Komarova ldquoSpatial stochastic models of cancer fitnessmigration invasionrdquoMathematical Biosciences and Engineeringvol 10 no 3 pp 761ndash775 2013
[5] B T Tan C Y Park L E Ailles and I L Weissman ldquoThecancer stem cell hypothesis a work in progressrdquo LaboratoryInvestigation vol 86 no 12 pp 1203ndash1207 2006
[6] E Beretta V Capasso and N Morozova ldquoMathematical mod-elling of cancer stem cells population behaviorrdquo MathematicalModelling of Natural Phenomena vol 7 no 1 pp 279ndash305 2012
[7] G Hochman and Z Agur ldquoDeciphering fate decision in normaland cancer stem cells mathematical models and their exper-imental verificationrdquo in Mathematical Methods and Models inBiomedicine Lecture Notes on Mathematical Modelling in theLife Sciences pp 203ndash232 Springer New York NY USA 2013
[8] V Vainstein O U Kirnasovsky Y Kogan and Z AgurldquoStrategies for cancer stem cell elimination insights frommathematicalmodelingrdquo Journal ofTheoretical Biology vol 298pp 32ndash41 2012
[9] H YoussefpourMathematical modeling of cancer stem cells andtherapeutic intervention methods [PhD thesis] University ofCalifornia Irvine Calif USA 2013
[10] N Kronik Y Kogan V Vainstein and Z Agur ldquoImprovingalloreactive CTL immunotherapy for malignant gliomas usinga simulation model of their interactive dynamicsrdquo CancerImmunology Immunotherapy vol 57 no 3 pp 425ndash439 2008
[11] M E Prince R Sivanandan A Kaczorowski et al ldquoIdentifica-tion of a subpopulation of cells with cancer stem cell propertiesin head and neck squamous cell carcinomardquo Proceedings of theNational Academy of Sciences of the United States of Americavol 104 no 3 pp 973ndash978 2007
[12] R Ganguly and I K Puri ldquoMathematical model for the cancerstem cell hypothesisrdquo Cell Proliferation vol 39 no 1 pp 3ndash142006
[13] Y Kogan U Forys and N Kronik ldquoAnalysis of theimmunotherapy model for glioblastoma multiform braintumourrdquo Tech Rep 178 Institute of Applied Mathematics andMechanics UW 2008
[14] C A Kruse L Cepeda B Owens S D Johnson J Stears andKO Lillehei ldquoTreatment of recurrent gliomawith intracavitaryalloreactive cytotoxic T lymphocytes and interleukin-2rdquoCancerImmunology Immunotherapy vol 45 no 2 pp 77ndash87 1997
[15] W F Hickey ldquoBasic principles of immunological surveillanceof the normal central nervous systemrdquo Glia vol 36 no 2 pp118ndash124 2001
[16] D Kirschner and J C Panetta ldquoModeling immunotherapyof the tumormdashimmune interactionrdquo Journal of MathematicalBiology vol 37 no 3 pp 235ndash252 1998
[17] A Suzumura M Sawada H Yamamoto and T MarunouchildquoTransforming growth factor-120573 suppresses activation and pro-liferation of microglia in vitrordquoThe Journal of Immunology vol151 no 4 pp 2150ndash2158 1993
[18] J C Robinson Infinite-Dimensional Dynamical Systems Cam-bridge University Press New York NY USA 2001
[19] P C Burger F S Vogel S B Green and T A StrikeldquoGlioblastoma multiforme and anaplastic astrocytoma patho-logic criteria and prognostic implicationsrdquo Cancer vol 56 no5 pp 1106ndash1111 1985
[20] C Turner A R Stinchcombe M Kohandel S Singh and SSivaloganathan ldquoCharacterization of brain cancer stem cells amathematical approachrdquo Cell Proliferation vol 42 no 4 pp529ndash540 2009
[21] J C Arciero T L Jackson andD E Kirschner ldquoAmathematicalmodel of tumor-immune evasion and siRNA treatmentrdquo Dis-crete and Continuous Dynamical Systems Series B vol 4 no 1pp 39ndash58 2004
[22] W D Wick O O Yang L Corey and S G Self ldquoHow manyhuman immunodeficiency virus type 1-infected target cells cana cytotoxic T-lymphocyte killrdquo Journal of Virology vol 79 no21 pp 13579ndash13586 2005
[23] S Kageyama T J Tsomides Y Sykulev and H N EisenldquoVariations in the number of peptide-MHC class I complexesrequired to activate cytotoxic T cell responsesrdquo The Journal ofImmunology vol 154 no 2 pp 567ndash576 1995
[24] P K Peterson C C Chao S Hu KThielen and E G ShaskanldquoGlioblastoma transforming growth factor-120573 and Candidameningitis a potential linkrdquoThe American Journal of Medicinevol 92 no 3 pp 262ndash264 1992
[25] G P Taylor S E Hall S Navarrete et al ldquoEffect of lamivu-dine on human T-cell leukemia virus type 1 (HTLV-1) DNA
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Computational and Mathematical Methods in Medicine 11
copy number T-cell phenotype and anti-tax cytotoxic T-cellfrequency in patients with HTLV-1-associated myelopathyrdquoJournal of Virology vol 73 no 12 pp 10289ndash10295 1999
[26] R J Coffey Jr L J Kost R M Lyons H L Moses and NF LaRusso ldquoHepatic processing of transforming growth factor120573 in the rat uptake metabolism and biliary excretionrdquo TheJournal of Clinical Investigation vol 80 no 3 pp 750ndash757 1987
[27] I Yang T J Kremen A J Giovannone et al ldquoModulationof major histocompatibility complex Class I molecules andmajor histocompatibility complexmdashbound immunogenic pep-tides induced by interferon-120572 and interferon-120574 treatment ofhuman glioblastoma multiformerdquo Journal of Neurosurgery vol100 no 2 pp 310ndash319 2004
[28] E Milner E Barnea I Beer and A Admon ldquoThe turnoverkinetics of MHC peptides of human cancer cellsrdquoMolecular ampCellular Proteomics vol 5 pp 366ndash378 2006
[29] L M Phillips P J Simon and L A Lampson ldquoSite-specificimmune regulation in the brain differential modulation ofmajor histocompatibility complex (MHC) proteins in brain-stem vs hippocampusrdquo Journal of Comparative Neurology vol405 no 3 pp 322ndash333 1999
[30] H Bosshart and R F Jarrett ldquoDeficient major histocompatibil-ity complex class II antigen presentation in a subset ofHodgkinrsquosdisease tumor cellsrdquo Blood vol 92 no 7 pp 2252ndash2259 1998
[31] C A Lazarski F A Chaves S A Jenks et al ldquoThe kineticstability of MHC class II peptide complexes is a key parameterthat dictates immunodominancerdquo Immunity vol 23 no 1 pp29ndash40 2005
[32] J J Kim L K Nottingham J I Sin et al ldquoCD8 positive Tcells influence antigen-specific immune responses through theexpression of chemokinesrdquoThe Journal of Clinical Investigationvol 102 no 6 pp 1112ndash1124 1998
[33] P K Turner J A Houghton I Petak et al ldquoInterferon-gammapharmacokinetics and pharmacodynamics in patients withcolorectal cancerrdquo Cancer Chemotherapy and Pharmacologyvol 53 no 3 pp 253ndash260 2004
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom