pharmacogenomics

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PHARMACOGENOMICS John N. van den Anker, MD, PhD, FCP, FAAP Children’s National Medical Center, Washington, DC, USA & Intensive Care, Erasmus MC-Sophia Children’s Hospital, Rotterdam, the Netherlands

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PHARMACOGENOMICS. John N. van den Anker, MD, PhD, FCP, FAAP Children’s National Medical Center, Washington, DC, USA & Intensive Care, Erasmus MC-Sophia Children’s Hospital, Rotterdam, the Netherlands. Disclosure presentation John N. van den Anker. - PowerPoint PPT Presentation

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Page 1: PHARMACOGENOMICS

PHARMACOGENOMICSPHARMACOGENOMICS

John N. van den Anker, MD, PhD, FCP, FAAP

Children’s National Medical Center, Washington, DC, USA &Intensive Care, Erasmus MC-Sophia Children’s Hospital,

Rotterdam, the Netherlands

John N. van den Anker, MD, PhD, FCP, FAAP

Children’s National Medical Center, Washington, DC, USA &Intensive Care, Erasmus MC-Sophia Children’s Hospital,

Rotterdam, the Netherlands

Page 2: PHARMACOGENOMICS

Disclosure presentation John N. van den Anker

Disclosure presentation John N. van den Anker

I do not have anything to disclose related to the content of my presentation

I do not have anything to disclose related to the content of my presentation

Page 3: PHARMACOGENOMICS

Individual variability in drug response can have serious consequencesIndividual variability in drug response can have serious consequences

Stevens-Johnson Syndrome (SJS) Adverse Drug Reaction

Page 4: PHARMACOGENOMICS

Effectively treats or prevents disease

Effectively treats or prevents disease

The Ideal MedicationThe Ideal Medication

Has no adverse effects

Page 5: PHARMACOGENOMICS

Paradox of Modern Drug Development Paradox of Modern Drug Development

1. Clinical trials provide evidence of efficacy and safety at usual doses in populations

2. Physicians treat individual patients who can vary widely in their response to drug therapy

+ =

+ =

Efficacious & Safe

Efficacious & Safe

No Response

Adverse Drug Reaction

Page 6: PHARMACOGENOMICS

• 4-6th leading cause of death in the USA1

• Health care costs: $137-177 billion annually (USA)2-3

• Cause 7% of all hospital admissions4

• Cause serious reactions in over 2,000,000 hospitalized patients (6.7%) each year in the USA1

• Cause fatal reactions in over 100,000 hospitalized patients each year in the USA1

• 50% of newly approved therapeutic health products have serious ADRs, discovered only after the product is on the market (Health Canada, 2007)

• 95% of all ADRs are unreported

• 4-6th leading cause of death in the USA1

• Health care costs: $137-177 billion annually (USA)2-3

• Cause 7% of all hospital admissions4

• Cause serious reactions in over 2,000,000 hospitalized patients (6.7%) each year in the USA1

• Cause fatal reactions in over 100,000 hospitalized patients each year in the USA1

• 50% of newly approved therapeutic health products have serious ADRs, discovered only after the product is on the market (Health Canada, 2007)

• 95% of all ADRs are unreported

Adverse Drug Reactions

4. Pirmohamed et al, BMJ, 2004 5. MjoÈrndal et al, EACPT3, 1999

6. Moore et al., 2007

1. Lazarou et al, JAMA, 19982. Johnson et al, Arch Intern Med 1995

3. Ernst et al, J. Am. Pharm. Assoc. 2001

Page 7: PHARMACOGENOMICS

Patient genotype is currently an unknown Patient genotype is currently an unknown factor in the prescribing of medicinesfactor in the prescribing of medicines

Genetic FactorsGenetic Factors

20-95%20-95%

AgeAge

EthnicityEthnicityWeightWeightGenderGender

Concomitant DiseaseConcomitant Disease

Concomitant DrugsConcomitant Drugs

ComplianceComplianceDietDiet

Factors Contributing to Factors Contributing to Variability in Drug ResponseVariability in Drug Response

Page 8: PHARMACOGENOMICS

Growth and Development Growth and Development

Determinants of Drug Response in InfantsDeterminants of Drug Response in Infants

Drug Exposure

Response

AbsorptionDistribution

Receptor InteractionBiotransformation

Excretion

AbsorptionDistribution

Receptor InteractionBiotransformation

Excretion

Environment Genetics

DiseaseDisease

Page 9: PHARMACOGENOMICS

The Challenge of Optimizing the Use of Medicines in Paediatric Patients: Determining the Source(s) of Variability…...

The Challenge of Optimizing the Use of Medicines in Paediatric Patients: Determining the Source(s) of Variability…...

OntogenyOntogenyOntogenyOntogeny PharmacogeneticsPharmacogeneticsPharmacogeneticsPharmacogenetics

Page 10: PHARMACOGENOMICS

From DNA to mRNA to protein From DNA to mRNA to protein

ATG ATC CCC TTT

Met Ile Pro Phe

Page 11: PHARMACOGENOMICS

3 billion correct basepairs ….and 1 mutation3 billion correct basepairs ….and 1 mutation

• atgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcactacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgaattcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttca

• atgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgacttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttca

• atgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcactacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgaattcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttca

• atgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgacttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttcagtacgtacatgtccaggtgcaggacgagttca

gacgaattcagtacgtacatggacgacttcagtacgtacatg

Page 12: PHARMACOGENOMICS

CYP2D6slow

intermediaterapid

ultrarapid

CYP2C19

Poor metabolizer normal

anti-convulsants, proton pump inhibitors, benzodiazepines, anti-malarials

anti-depressants, anti-psychotics, anti-arrhythmics, beta-blockers, pain medications, anti-emetics, anti-cancer drugs

Page 13: PHARMACOGENOMICS

CYP2D6 PharmacogeneticsCYP2D6 Pharmacogenetics

DrugStable metabolites,

Excretion

Drug Stable metabolites,Excretion

EMEM

PMPM

“Functional” overdose“Functional” overdose

Page 14: PHARMACOGENOMICS

CYP2D6 PharmacogeneticsCYP2D6 Pharmacogenetics

CYP2D6 activity displays bimodal distribution in Caucasian subjects

5-10% of Caucasian population deficient in CYP2D6 activity

“Poor metabolizers” or “PMs” have two “inactive” forms (alleles) of the CYP2D6 gene

PMs at increased risk for concentration-dependent side effects with “normal” drug doses

Some drugs may not work (codeine; tramadol)

CYP2D6 activity displays bimodal distribution in Caucasian subjects

5-10% of Caucasian population deficient in CYP2D6 activity

“Poor metabolizers” or “PMs” have two “inactive” forms (alleles) of the CYP2D6 gene

PMs at increased risk for concentration-dependent side effects with “normal” drug doses

Some drugs may not work (codeine; tramadol)

Page 15: PHARMACOGENOMICS

CYP2D6 Pharmacogenetics:

CaucasiansBertilsson et al. Clin. Pharmacol. Ther. 51:288-97, 1992

CYP2D6 Pharmacogenetics:

CaucasiansBertilsson et al. Clin. Pharmacol. Ther. 51:288-97, 1992

120120

8080

4040

00

0.010.01 0.10.1 11 1010 100100

CYP2D6 ActivityCYP2D6 Activity

Num

ber

of I

ndiv

idua

lsN

umbe

r of

Ind

ivid

uals N = 1,011N = 1,011

12.612.6

SlowerFaster

Page 16: PHARMACOGENOMICS

CYP2D6 Activity: ChineseBertilsson et al. Clin. Pharmacol. Ther. 51:288-97, 1992

CYP2D6 Activity: ChineseBertilsson et al. Clin. Pharmacol. Ther. 51:288-97, 1992

120120

8080

4040

00

0.010.01 0.10.1 11 1010 100100

Num

ber

of I

ndiv

idua

lsN

umbe

r of

Ind

ivid

uals

N = 1,011N = 1,011

N = 695N = 695

12.612.6

CYP2D6 ActivityCYP2D6 Activity SlowerFaster

Page 17: PHARMACOGENOMICS

Indi

vidu

als

10

20

40

30

PMPoor Metabolizer~ 5-10 % Caucasians

EMExtensive

Metabolizer

IMIntermediateMetabolizer~ 10-15 %

UMultrarapidmetabolizer~ 10-15 %

0.1 100101 MRS

Unravelling CYP2D6 Pharmacogenetics

Griese et al. Pharmacogenetics 1998, Raimundo et al. CPT 2004, Toscano et al.Pharmacogenetics 2006

Griese et al. Pharmacogenetics 1998, Raimundo et al. CPT 2004, Toscano et al.Pharmacogenetics 2006

Page 18: PHARMACOGENOMICS

full-term healthy male infant day 7 pp: intermittent periods of difficulty in breastfeeding day 11: the baby had regained his birthweight day 12: grey skin, milk intake had fallen day 13: the baby was found dead

autopsy: no abnormality blood concentration of morphine (metabolite of codeine):

70 ng/mL versus 0-2.2 ng/mL (typical)

Page 19: PHARMACOGENOMICS

Pharmacogenetics of Codeinesite of actioncodeine

morphine

Cytochrome P4502D6

Blood brain barrier

Eckhardt et al., Pain 1998

0 5 10 15 20 250

10

20

30

40

50

60

mor

phin

e [p

mol

/ml]

Extensive Metabolizer

Poor Metabolizer

time [h]

plasma morphine levels

after 170 mg codeine p.o.

Page 20: PHARMACOGENOMICS

Explanation: medication mother due to episiotomy pain:

codeine 60 mg plus paracetamol 1000 mg every 12 hrs

for 2 weeks

Morphine concentration in stored milk: 87 ng/mL

mother: CYP2D6 genotype: CYP2D6*2x2 gene duplication

= Ultra rapid metabolizer phenotype

Page 21: PHARMACOGENOMICS

The American Academy of Pediatrics and “Drugs in Pregnancy in Lactation”, the major reference guide to fetal and neonatal risk, list

codeine as compatible with breastfeeding

– Briggs et al., 2005; Pediatrics, 2001

Prior to this publication!

Page 22: PHARMACOGENOMICS

FDA drug label change and FDA drug label change and public health advisories public health advisories

Health Canada Health Canada Public AdvisoryPublic Advisory

Aug. 21, 2008Aug. 21, 2008

Estimated 1846 newborn infants are at risk for Estimated 1846 newborn infants are at risk for this codeine ADR annually in Canadathis codeine ADR annually in Canada

(340,000 births, 73% breastfed, 52% mothers receive codeine post-childbirth,1.4% risk genotype)(340,000 births, 73% breastfed, 52% mothers receive codeine post-childbirth,1.4% risk genotype)

May 10, 2006May 10, 2006

Aug 17, 2007

Page 23: PHARMACOGENOMICS

2 year old boy

Received tonsillectomy for sleep apnea

Received standard codeine dose

Died of respiratory depression

High levels of morphine in blood

Boy carried CYP2D6 gene duplication

Kelly, Rieder, van den Anker et al. More codeine fatalities after

tonsillectomy in North American children. Pediatrics 2012;129(5):1343-7

August 20, 2009

Page 24: PHARMACOGENOMICS
Page 25: PHARMACOGENOMICS

BloodGI Lumen Cell

Transporters Receptors

Protein kinases

Phosphatases

2nd messengers Targets

Page 26: PHARMACOGENOMICS

Opioids and pharmacogenomicsOpioids and pharmacogenomics

Why personalizing opioid therapy?•Wide unpredictable interpatient variability•Narrow therapeutic indices Inadequate pain relief and side effects ~ 50%•Genetic factors: up to 60% (Angst 2012)

Why personalizing opioid therapy?•Wide unpredictable interpatient variability•Narrow therapeutic indices Inadequate pain relief and side effects ~ 50%•Genetic factors: up to 60% (Angst 2012)

Sadhasivam et al. (2012)

Page 27: PHARMACOGENOMICS

Candidate genesCandidate genes

1. 410 pain genes

2. <10% translated to human pain

3. Opioid + genetic ≈ 2000 hits

Page 28: PHARMACOGENOMICS

Division of genesDivision of genes

• Pharmacokinetic: affect the availability at the site of action

Phase I and II enzymes, transporters etc.

• Pharmacodynamic: target and downstream signaling cascade

Mu-opioid receptor, inwardly rectifying potassium channel etc

• Pain sensitivity: susceptibility to pain

Sodium channel, interleukines etc.

• Pharmacokinetic: affect the availability at the site of action

Phase I and II enzymes, transporters etc.

• Pharmacodynamic: target and downstream signaling cascade

Mu-opioid receptor, inwardly rectifying potassium channel etc

• Pain sensitivity: susceptibility to pain

Sodium channel, interleukines etc.

Page 29: PHARMACOGENOMICS

PK RELATED GENESPK RELATED GENES

Page 30: PHARMACOGENOMICS

Metabolism fentanylMetabolism fentanyl

Page 31: PHARMACOGENOMICS

CYP3A4 GeneCYP3A4 Gene

• Important drug metabolizing enzyme

Highly expressed in liver and intestine

broad substrate specificity (app. 50%)

• Identified SNPs

22 alleles identified (CYPallele homepage)

Rare or lack phenotypic effect

• Caucasian

*1G and *22 allele

• Important drug metabolizing enzyme

Highly expressed in liver and intestine

broad substrate specificity (app. 50%)

• Identified SNPs

22 alleles identified (CYPallele homepage)

Rare or lack phenotypic effect

• Caucasian

*1G and *22 allele

Page 32: PHARMACOGENOMICS

CYP3A4 SNPsCYP3A4 SNPsCYP3A4*1G reduced activity higher plasma levelsLess fentanyl requiredMore side effects

Studies

Dong (2012),Yuan (2011) and Zhang (2010): Lower fentanyl requirement postoperative

Yuan (2011) correlation between plasma levels and requirement (r=-0.552, p<0.001)

However, not associated with AEs and Pain score

CYP3A4*1G reduced activity higher plasma levelsLess fentanyl requiredMore side effects

Studies

Dong (2012),Yuan (2011) and Zhang (2010): Lower fentanyl requirement postoperative

Yuan (2011) correlation between plasma levels and requirement (r=-0.552, p<0.001)

However, not associated with AEs and Pain score

CYP3A4*22

Page 33: PHARMACOGENOMICS

PD RELATED GENESPD RELATED GENES

Page 34: PHARMACOGENOMICS

OPRM1 and FentanylOPRM1 and Fentanyl118A>G•Higher fentanyl requirement (Zhang 2011)•Higher VAS pain score (Wu 2009)

118A>G relevant?

Liao 2013: N=97, post-operative pain, fentanyl requirement+AEs

CYP3A4*18 >> A118G

304A>G

Lower fentanyl requirement (Landau 2009)

Association with morphine requirement not found

(Wong 2010)

118A>G•Higher fentanyl requirement (Zhang 2011)•Higher VAS pain score (Wu 2009)

118A>G relevant?

Liao 2013: N=97, post-operative pain, fentanyl requirement+AEs

CYP3A4*18 >> A118G

304A>G

Lower fentanyl requirement (Landau 2009)

Association with morphine requirement not found

(Wong 2010)

Page 35: PHARMACOGENOMICS

OPRM1 related genesOPRM1 related genes

Stat6Stat6

Page 36: PHARMACOGENOMICS

PAIN SENSITIVITY GENESPAIN SENSITIVITY GENES

Page 37: PHARMACOGENOMICS

Pain sensitivity genesPain sensitivity genes

Action potential•SCN9A

Α-subunit Nav1.7 channel, nociceptive neurons

R1150W increased sensitivity to pain (Reimann 2010)•KCNS1

Voltage gated K channel (Kv 9.1), sensory neurons

1465A>G increased sensitivity to pain (Costigan 2010)

Action potential•SCN9A

Α-subunit Nav1.7 channel, nociceptive neurons

R1150W increased sensitivity to pain (Reimann 2010)•KCNS1

Voltage gated K channel (Kv 9.1), sensory neurons

1465A>G increased sensitivity to pain (Costigan 2010)

Page 38: PHARMACOGENOMICS

NICU study NICU study

• n=132• Mechanical ventilation (PNA<3 days)• 2 level III NICUs

• Continous morphine vs placebo during max. 7 days• Loading dose 100 µg/kg 10 µg/kg/hr • Additional morphine (50 µg/kg 5-10 µg/kg/hr)

Objective

Determine if polymorphisms in PD related genes (OPRM1 118A>G, COMT Val158Met, ARRB2 8622C>T) are associated with additional morphine requirement (AMR) in newborns.

• n=132• Mechanical ventilation (PNA<3 days)• 2 level III NICUs

• Continous morphine vs placebo during max. 7 days• Loading dose 100 µg/kg 10 µg/kg/hr • Additional morphine (50 µg/kg 5-10 µg/kg/hr)

Objective

Determine if polymorphisms in PD related genes (OPRM1 118A>G, COMT Val158Met, ARRB2 8622C>T) are associated with additional morphine requirement (AMR) in newborns.

Page 39: PHARMACOGENOMICS

Results NICUResults NICU

OPRM1 % AMR OR* [95%CI]

118AA 31.0  4.93 [1.22-20]

118AG/118GG 34.3

COMT % AMR OR*[95%CI]

158Val/Val 57.1  0.161 [0.04-0.650]

158Val/Met or 158Met/Met 26.9

ARRB2 % AMR OR* [95%CI]

8622CC 11.1  5.52 [0.371-82.2]

8622CT/8622TT 34.3

*corrected OR and 95%CI for postconceptional age, sex, allocation group, location centre .

OPRM1 and COMT significant after Bonferroni correction

Page 40: PHARMACOGENOMICS

Pharmacogenomics Pharmacogenomics

Avoid adverse drug reactions

Maximize drug efficacy for individual patients

All Patients with Same

Diagnosis

treat with alternative drug or dose

Moderate risk of ADR (12.5%):

Low risk of ADR (0%):10% risk of

adverse reaction

Pharmacogenetic Profile:

HighHigh risk of ADR (50%):risk of ADR (50%):

treat with conventional dose

treat with alternative drug or dose

Page 41: PHARMACOGENOMICS

All children are at risk for ADRs, but not all children are at equal risk.

Find the kids at highest risk for serious ADRs due to genetic factors

What do we need to do!What do we need to do!

Page 42: PHARMACOGENOMICS

• Identify children with ADRs

• Identify ‘matched’ children on same medications, without ADRs

• Whenever possible, DNA samples are collected from biological parents of ADR patients

• Look for genetic variation in key drug ADME enzymes

• Develop new dosing guidelines

• Bedside-benchtop-bedside science

• Identify children with ADRs

• Identify ‘matched’ children on same medications, without ADRs

• Whenever possible, DNA samples are collected from biological parents of ADR patients

• Look for genetic variation in key drug ADME enzymes

• Develop new dosing guidelines

• Bedside-benchtop-bedside science

Page 43: PHARMACOGENOMICS

WE CAN’T TREAT CHILDREN LIKE ADULTS

Increased Risk of Severe ADRs in Children

>75% of approved drugs used in children are untested in

pediatric populations

Young children cannot evaluate or express their own

response to medications

Pediatric dosage forms not available

Children metabolize and transport drugs differently

than adults