liposarcoma classification who 2013molecular featureauthor, presenter altmussi et al, quagliolo well...
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Liposarcoma ClassificationWHO 2013 Molecular Feature Author, Presenter
ALT Mussi et al, Quagliolo
Well Diff adipocytic sclerosing inflammatory
amplification 12q13~15 (MDM2+, CDK4+/-)
Crago et al
Spindle cell M2M2-
De Diff amplification 12q13~15 (MDM2, CDK4)
Keung et alBill et alCrago et alZhang et al
Myxoid Round cell
translocation t(12;16)(q13p11) DDIT3 & FUS (EWSR1)
Hoffman et al, LazarDi Giadomenico et al
Pleomorphic Complex karyotype Torres et al
??
SURGICAL CONSIDERATION FROM THE ANALYSIS OF TWO LARGE SERIES OF ATYPICAL LIPOMATOUS TUMORS (ALT) OF EXTREMITIES AND SUPERFICIAL TRUNK Mussi et al.
Marginal surgery, n=95IRCCS Istituto Clinico Humanitas
Simple resection/shelling out, n=76 Istituto Ortopedico Gaetano Pinii
1998 – 2010
LR in 5/95 (5%) LR in 11/76 (14%)
No difference in postoperative complication rate (9%)
Tumor and patients characteristics
Total Intitution 1 Institution 2
**
*
• sclerosing subtype unfavorable for LR• high rate residual disease after UPS (46%)• conservative resection appropriate• piecemeal resection inappropriate• no dedifferentiation, no distant metastases, no death in 171
patients
• preop recognition• should ALT be considered a “sarcoma”?
Conclusions and Implications: ALT
Localized and Metastatic Myxoid/Round Cell Liposarcoma: Clinical and Molecular Observations
Hoffman et. al., pr: Lazar
• n = 207 localized , 1990-2010 • median follow-up = 68 mos • LR in 7.4 %, median time = 31 mos
Risk: prior LR, non-extremity disease• Metastasis = 13 %; median time = 34 mos
Risk: male gender (MV)• DSS 1 yr: 99 % 5 yr: 93 % 10 yr: 87%• poor outcome (MV): age>45, male, LR disease
Conclusions and Implications• Round cell phenotype associated with distinct molecular
signature vs. myxoid:
CXCR4, PDGFRB, P53, adipophilin, PDGFRA, VEGF: RC >
myxoid (TMA n=110 patients)
• Metastatic disease associated with molecular signature vs.
localized:
CXCR4 & PDGFRB: mets > primary
• Alteration in molecular features with progression
• Role for rebiopsy upon progression
• AXL a predictor of DSS
In vivo ML xenografts with postgrafting histology and molecular features
0
500
1000
1500
2000
2500
3000
95 105 115 125 135 145 155 165 175
Tu
mo
r w
eig
ht
(mg
±
se)
Days from inoculum
Trabectedin
Placebo
Treatment
Ctr Treated
0
200
400
600
800
1000
1200
1400
1600
1800
109 119 129 139 149 159 169
Tum
or w
eigh
t (m
g ±se)
Days from inoculum
Trabectedin
Placebo
Treatment
Ctr Treated(ML004) Type III FUS-CHOP translocation
(ML015) Type II FUS-CHOP translocation
Mode of Action of Trabectedin in Myxoid LPSDi Giandomenico et. al., D’Incalci Lab, Mario Negri Institute
Poster Y
• Trabectedin caused detachment of the FUS-CHOP from target promoters @ 24h• FUS-CHOP rebinds to target promoters 15 days post-treatment
Type II (ML015)
Type III (ML004)
Different FUS-CHOP Detachment Kinetics Between Type II and III Tumors
FUS-CHOP Type III was rebound to the promoters already 72 hours after the first dose.
Conclusions and ImplicationsTrabectedin in MLS
• correlation between molecular response and biological activity
• effect on transcriptional targets as a read out predicting clinical response
• role for scripted re-biopsy during treatment
ROLE OF AXL AS A POTENTIAL THERAPEUTIC TARGET FOR PLEOMORPHIC LPS AND DDLPS Torres et. al.
Poster AA
Sarcoma Research LaboratoryUniversity of Texas MD Anderson Cancer Center
• Objective: evaluate the role of the RTK AXL signaling pathway in PLS (n=56)and DDLPS (n=60)
• AXL highly expressed in PLS and DDLPS tumor samples and cell lines (TMA, qRT-PCR, WB, P-blot)
• knockdown of AXL via siRNA or shRNA inhibited growth and suppressed migration/invasion in vitro
• knock down in the pleomorphic cell line PLS-1 impaired tumorigenicity in vivo
• Goal: small molecule inhibitor of AXL• Further dissection of signaling pathways/networks• Validation as a therapeutic target
Conclusions and Implications
Keung et. al.
Clinicopathologic Characteristics and Predictors of Outcomes in Patients with Primary Retroperitoneal Dedifferentiated Liposarcoma Undergoing Surgery
DDLPS (vs. WDLPS): Higher LR, DR, worse survival
primary RP DDLPS Rx’d at DF 1998 and 2008 (n=119) median fup time 74 mos.
All PatientsMonths (95% CI)
R0/R1 resectionMonths (95% CI)
R2 resection n=13Months (95% CI)
Median PFS 21.1 (15.0-27.2) 22.1 (16.9-27.3) 6.6 (1.6-9.3)
Median LRFS 21.5 (14.5-28.5) 23.9 (19.5-28.3) 5.7 (3.8-7.6)
Median DRFS 45.8 (29.7-61.8) 51.1 (32.3-59.0) 17.4 (8.4-27.9)
Median OS 59.0 (51.8-66.2) 63.2 (55.8-83.3) 17.8 (10.0-41.5)
High Local Recurrence Rate
Retroperitoneal Dedifferentiated Liposarcoma
100/119 patients (84%) had disease recurrence or progression
92/100 (92%) were local recurrences
R0/R1 resection – 82% had disease recurrence
Variable n (%)
Number of recurrences 1 43 (45)2 24 (25)3 9 (10)4 2 (2)Unknown 17 (18)
Site of recurrence or progression
Retroperitoneal 92 (92)Intraperitoneal 26 (26)Lung 14 (14)Liver 6 (6)Bone 6 (6)Skin/subcutaneous 3 (3)
Retroperitoneal Dedifferentiated Liposarcoma
Predictors of LRFS
Multivariable Cox Regression Analysis
HR 95% CI P value
0.61 0.38-0.99 0.045
1.75 1.01-3.03 0.047
Univariate Analysis
VariableMedian
(months) 95% CI P value
Location of Initial Surgery 0.006
OSH, n=82 15.3 8.31-22.29
BWH, n=37 27.9 11.99-43.81
Multifocality 0.003
Single tumor, n=74 24.5 19.29-29.71
Multifocal disease, n=21 11.4 6.96-15.84
Extent of Resection 0.018
R0/R1, n=80 23.9 19.50-28.30
R2, n=11 5.7 3.83-7.57
Retroperitoneal Dedifferentiated Liposarcoma
Predictors of OS
Multivariable Cox Regression Analysis
HR 95% CI P value
1.83 1.04-3.21 0.037
4.00 1.50-10.67 0.006
2.20 1.02-4.74 0.045
Univariate Analysis
Variable Median (months) 95% CI P value
Gender 0.010
Female 77.8 57.7-111.9
Male 49.1 34.8-60.8
FNCLCC grade 0.019
Intermediate 59.3 49.1-83.3
High 38.9 25.6-60.8
Extent of Resection <0.001
R0/R1 63.2 55.8-83.3
R2 17.8 10.0-41.5
Tumor Integrity <0.001Intact tumor specimen(s) 64.2 55.8-91.7 Fragmented tumor specimen(s) 21.0 9.2-46.7
Conclusion and Implications high risk histo- and anatomic- subtype microscopic margins usually positive (~90%) 1/4 of patients from outside institutions had surgery by
urologists or gynecologists *Neither chemotherapy nor radiation therapy at initial
presentation was associated with PFS, LRFS, DRFS, or OS
Treatment at Initial Presentation (n=119) n %Surgery 119 100
Surgery alone 103 88+ Neoadjuvant chemotherapy + radiation therapy 1 1+ Neoadjuvant chemotherapy 4 3+ Neoadjuvant radiation therapy 11 9
Postoperative chemotherapy 10 8Intraoperative radiation therapy 7 6Postoperative radiation therapy 14 12
UNRAVELING MOLECULAR DEREGULATION IN DDLPS CELLS LINES Bill et. al.
Poster Z
Sarcoma Research LaboratoryUniversity of Texas MD Anderson Cancer Center
• Objective: establish and genetically/epigenetically characterize a panel of human LPS cell lines
• 10 DD-LPS cell lines in long term passage (FISH, qPCR, SNP array, WB, expression array, RPPA)• Recurrent gains 12q13-15• MDM2 amp, copy #=mRNA, =protein• CDK4 amp variable• P53 wt
• Recapitulation of clinically relevant molecular alterations
• Modeling disease progression and therapeutic response
• Systems biology approach
Conclusions and Implications
CDK4 and MDM2 cooperate to inhibit senescence and promote liposarcomagenesis
Crago et. al.
Well differentiated liposarcoma
growth
Loss chromosome 11qand others
? Chromosome 12 gene amplification
Dedifferentiated liposarcoma
Well-differentiated liposarcoma with
SENESCENCE
CDK4
MDM2?
• > 90% WDLS and DDLS show amplification of 12q13-15 genes MDM2 and CDK4
• WD/DDLS without CDK4 amplification have improved prognosis
Pre-
adip
ocyt
eLS
8817
LS00
82LS
8107
LS77
85LS
7302
LS05
57LS
6736
MDM2
CDK4
actin
MDM2amp - + + + + + + + + CDK4amp - + + + + + + - -
LS69
60-1
F
LS8817
LS0557
CDK4amplified
No CDK4 amplification
LS6736
Chromosome 12q and senescence
LS cells with no CDK4 amplification undergo senescence and have wild type levels of MDM2 despite MDM2 amplification
A. B.
CDK4/6 inhibitor PD0332991 (PD) inhibits growth in LS cell lines with CDK4 amplification
Chromosome 12q and senescence
days
A.
untreated CDK4i x48h (PD)
B.LS8817
G1: 57%S: 28%G2: 14%
G1: 86%S: 5%G2: 7%
LS88
17
C.
LS14
1LS
0082
LS81
07
LS77
85-1
LS77
85-1
0
no drug48h CDK4i
* No evidence of apoptosis by annexin staining or differentiation of cells by RT-PCR for markers of adipogenesis
Identical results with CDK4 shRNA
CDK4 inhibitor induces senescence in a subset of LS cell lines
Chromosome 12q and senescence
Responders Non-Responders
A.
B.Responders Non-Responders
MDM2
p53
p16
p21
LS8817 LS0082 LS8107 LS7785-10 - + - + - + - +CDK4i tx
↓0.43x ↓0.47x
• MDM2 knockdown induces senescence in LS cells• even in lines not responsive to PD
Conclusions and Implications
• MDM2 as a final common target• Induction of senescence by PD, by
knockdown of MDM2:no induction of p53; doesn’t require p53
• pathway as a therapeutic target
SENESCENCE
CDK4
MDM2
Potent Inhibition of Human Liposarcoma Growth and Survival
by a Novel Modulator of MDM2-p53 Interaction
CTOS 17th Annual Meeting 26
Yi-Xiang Zhang, PhD
MDM2
p53p53
Induction of p21 Cell Cycle Cell Cycle
ArrestArrest
Induction of BAX, PUMA,
NOXACell DeathCell Death
MDM2Antagonists
Other Biological Functions
MDM2/p53 Feed Back Loop
SAR299155 is a Potent Inducer of p53 Activity
SAR299155 Decreases Cell Viability in Liposarcoma Cells with Wild-type p53
27
A B
DC
LP6 (p53 wt) LP6 (p53 mut)
LP6 (+p53 siRNA)
SAR299155 Restores p53 Activity in vivo
28
Complete Regression of Primary Liposarcoma Tumor Xenograft LPS3 Treated with SAR299155
*, p<0.05; **, p<0.01; ***, p<0.001; ****, p<0.0001; compared with respective control group treated with vehicle.
Conclusions and Implications
• SAR299155: 5-fold more potent than Nutlin-3
• correlation between biochemical assays and biological
activity
• reproducibility with other LPS cell lines as xenograft, patient
tumor-derived xenografts
• identifying new biomarkers of response in DD-LPS
29
Liposarcoma – Revealing Molecular Correlates of Tumor Progression
1 2 3
Myxoid LPS Round Cell LPS
Pleomorphic LPS
De-Diff LPSALT/WD LPS De-Diff LPS
A. Lazar
Liposarcoma Themes• Requirement for accurate clinical, histological and molecular
data
• Inter- and intra- subtype heterogeneity
• Temporal heterogeneity
• Stratification by molecular properties
– For prognostication
– For targeted therapy
– For clinical trials of other modalities
Splitters > Lumpers
Numbers game: Collaborative Imperative!!!