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Pharmacogenetics: 7 questions about highly effective implementation

Prof. dr. Henk-Jan Guchelaar

Clinical Pharmacy & Toxicology

Leiden University Medical Center

Leiden Academic Center for Drug Research

Spanish Society of Hospital Pharmacy meeting

Madrid, 31 January 2013

2

Disclosures (January 2013)

• Institutional

• Patent EP 06119819.8 and US 60/840,973 (MTX efficacy)

• Tamoxifen prospective study (CYPTAM) (Roche, Amplichip®)

• Personal

• None declared

Leiden University Medical Center

3

4

Translational Drug Research

Leiden University Medical Center Leiden Academic Center

for Drug Research

Two patients at your outpatient clinic

• Two patients A and B

• The same symptoms

• The same doctor

• The same diagnostic procedures

• The same diagnosis X

• The same treatment

• Drug Rx at a dose x mg/day

• After 3 weeks

• Patient A: symptoms resolved

• Patient B: still symptoms, side effects

• How is this possible?

5

6

Pharmacogenetics: drug response is a heritable trait

7 Questions

•Q1: Do we need biomarkers to predict

drug response?

7

8

‘Most drugs don’t work’

Effective (%)…..

• Alzheimer 30

• Depression (SSRI) 62

• Asthma 60

• Diabetes mellitus 57

• Incontinence 40

• Migraine (acute) 52

• Migraine (profyl.) 50

• Cradiac dysrhythmia 60

• Tumors 25

• Schizophrenia 60

• Reumatoid arthritis 50

• Reumat. art. (Cox-2) 80

• Hepatitis C 47 Spear, Trends Mol Med 2001;7(5):201

Clinical Drug Toxicity

• Harvard Medical Practice Study – Lucian Leape

• Nature of adverse events in hospitalized patients

• 30,195 randomly selected patients records

• 1,113 (= 3.7%) disabling injury caused by medical treatment

• 19% adverse drug events (ADEs)

• Hospital Admissions Related to Medication

• Incidence of hospital admissions related to drug related problems

• 21 hospitals in The Netherlands

• 5.6% of acute admissions were drug related: 50% preventable

9

Prescribing drugs – Trial and Error

10

Dx Guideline

Rx Clinical studies

•Dx

•Inclusion criteria

•Age

•Organ function

•Severity of disease

First choice Drug

•‘Normal’ dose

•Individualize

•Co-morbidity

•Co-medication

•Age, Organ function

Monitor effect

•Efficacy & Toxicity

•Tumorsize, Biomarkers

•Pain(score), Bloodpressure

•Cholesterol levels

•Liverfunction, Myalgia

Drug dose

•Increase/decrease

Switch drug

•Second choice Drug

11 11

Individualization of drug therapy

100% dose

DRUG A

50% dose

DRUG A

DRUG B

DNA Test

• High Blood Pressure

• Antihypertensive drug: 2-4 wks

BP cardiovascular risk

• Consequences of delay of efficacious

treatment

• 3 months

• 10 yr (= 120 mo) treatment may

result in an absolute risk reduction

of 2,5% of 10 years risk death

• absolute risk: 7,50% 7.56%

12

Monitoring drug effects – ‘Trial and Error’ prescribing

• Metastatic colorectal cancer

• 3-6 courses chemotherapy: 9-18

weeks CT-scan response

• Consequences of delay of

efficacious treatment

• 2-4 months

• mCRC: OS= 24 months

13

Monitoring drug effects – ‘Trial and Error’ prescribing

Biomarkers needed for predicting drug response

• Drug effect presents after

months-years

• Important clinical

consequences of treatment

delay

• Diseases with a poor

prognosis

• Severe side effects

14

7 Questions

•Q2: Which are the sources of heritable

variability in drug response?

15

Sources of variability in drug response

16

Compliance

Absorption

Metabolism

Elimination

Target/Receptor

Signal transduction

Concentration-effect relationship

Toxicity

Inefficacy

CONC

TIME

Poor metabolizer

Ultrarapid metabolizer

Genetic variants encoding drug receptor

18

receptor-agonist

Sunitinib toxicity – Pharmacogenetic biomarkers

19

20

• 219 patients treated with sunitinib from five

Dutch medical centers

• mRCC (159), GIST (50), other (10)

• Toxicity was evaluated in first treatment cycle

(6 weeks) by NCI–CTC-AE version 3.0

• Aim was to identify genetic markers in the PK

and PD pathway of sunitinib that predispose for

toxicity

• 31 single nucleotide polymorphisms in 12

candidate genes – PK and PD sunitinib

Van Erp, J Clin Oncol 2009:27(26):4406-12

Sunitinib toxicity – Pharmacogenetic biomarkers

21

RET

1580T/C

-1171C/G

-735G/A

-573G/T

738T/C 2251G/A -604T/C

-92G/A

54T/C

1191C/T

1718T/A

1501A/G

Pharmacodynamics

Van Erp, J Clin Oncol 2009:27(26):4406-12

1501A/G

22

Sunitinib Metabolites

SU12662 (active) and inactive metabolites

ABCB1 (Pgp) (3435C/T, 1236C/T, 2677G/T)

ABCG2 (BCRP) (421C/A, 34G/A, -15622C/T, 1143C/T)

CYP3A4 (

CYP3A5 (6986A/G)

CYP1A1 (2455A/G)

CYP1A2 (-163A/C)

NR1I2 (-25385C/T, -24113G/A,

7635A/G, 8055C/T, 10620C/T, 10799G/A )

NR1I3 (5719C/T, 7738A/C, 7837T/G)

Pharmacokinetics

Van Erp, J Clin Oncol 2009:27(26):4406-12

23

• Leukopenia

• CYP1A1 2455A/G OR= 6.24

• FLT3 738T/C OR= 2.8

• NR1I3 haplotype OR= 1.74

• Any toxicity > grade 2

• VEGFR2 1191C/T OR= 2.39

• ABCG2 haplotype OR= 2.63

• Mucositis

• CYP1A1 2455A/G OR= 4.03

• Handfoot syndrome

• ABCB1 haplotype OR= 2.56

Van Erp, J Clin Oncol 2009:27(26):4406-12

Sunitinib toxicity – Pharmacogenetic biomarkers

Sunitinib efficacy - Pharmacogenetic biomarkers

• Identify predictive biomarkers for

sunitinib efficacy in mRCC

• 136 mRCC ‘clear cell’

• PFS/OS

• 31 ‘single nucleotide

polymorphisms’ in 12 candidate

genes – PK en PD sunitinib

• Clinical characteristics

24 Van der Veldt, Clin Cancer Res 2011;17(3):620-9

25

PFS OS

Favorable profile: (n=95) at least an A-allele in CYP3A5, a TCG copy in the

ABCB1 haplotype or a missing CAT copy in the NR1I3 haplotype

Median PFS: 13.1 mo vs 7.5 mo (p= 0.001)

Median OS: 19.9 mo vs 12.3 mo (p= 0.009)

Sunitinib efficacy - Pharmacogenetic biomarkers

Van der Veldt, Clin Cancer Res 2011;17(3):620-9

7 Questions

•Q3: How much variance is explained by

pharmacogenetics?

26

27

How much variance is explained by pharmacogenetics?

Tamoxifen – CYP2D6

28

O

N

H

CH3

CH3

OH

O

N

H

CH3

CH3

O

N

CH3

CH3

CH3

O

N

CH3

CH3

CH3

OH

TAMOXIFEN 4-OH-TAM

NDM-TAM ENDOXIFEN

CYP2D6

CYP2B6

CYP2C9

CYP2C19

CYP3A

CYP2D6

CYP3A4/5

CYP1A2

CYP2C9

CYP2C19

CYP2D6

Tamoxifen metabolism

CYP3A4/5

SULT1A1

UGT

SULT1A1

UGT

Dezentje, Clin Cancer Res 2009;15(1):15-21

30

Genotype to phenotype translation

Roche, AmpliChip CYP450 Test, manual

E

Goetz, 2005

Presentation SABCS ‘09

CYP2D6 genotype association studies

Positive studies

N HR p

Goetz ’05 190 1.86 .08

Schroth ’07 197 1.89 .02

Newman ’08 68 3.6 .09

Ramon ’09 91 >1 .02

Bijl ’09 85 2.1 .03

Kiyotani ’08/’10 282 9.5 <.001

Xu ’08 152 4.7 .04

Lim ’07 21 .02

Bonanni ’06/’10 182 .04

Schroth ’09 1325 1.29 .02

Negative studies

N HR p

Wegman ’05 76 <1 NS

Wegman ’07 677 <1 .055

Nowell ’05 162 .67 .19

Okishiro ’09 173 .6 .39

Toyamo ’09 154 NS

Dieudonnée ’09

Dezentje’10 747 1 NS

Goetz 2,880 NS

Dezentje, ASCO 2010

33

CYP2D6 genotype – endoxifen concentration

Jin, J Natl Cancer Inst ; 2005:30

wt/wt = no *3, *4, *5 or *6

wt/vt = one *3, *4, *5 of *6 allel

vt/vt = *4/*4

• 13C dextrometorphan breath test

34

CYP2D6 phenotype – endoxifen concentration

Opdam, Cancer Chemother Pharmacol. 2012 Dec 11

Explained variance

35

Drug (Genetic) variant R2 Variable

Warfarin VKORC1 25% dose requirement

+BSA 34%

+CYP2C9*3 40%

+Age 45%

+CYP2C9*2 50%

Acenocounarol CYP2C9 4.9% dose requirement

VKORC1 21.4% dose requirement

Irinotecan UGT1A1 *28 24% neutropenia

Methotrexaat sex + Rf status + smoking 35% DAS response

+DAS at baseline +

AMPD1 + ATIC + ITPA

+ MTHFD1

7 Questions

•Q4: How much evidence is needed for

implementation?

36

Implementation PGx: How much evidence is needed?

• Randomized Clinical Trial

• Endpoints: safety and efficacy

• Cost-effectiveness

• Observational evidence

• Well powered, well designed

• Including replication studies

• Compare with dose adjustments

• Decreased renal function

• Drug interactions

37 Van Wielen, Pharmacogen 2011;12(9):1231

38 38

Abacavir – HLA-B *5701 screening

• 1,956 patients

• 1:1 randomized: screening versus no screening

• Prevalence HLA-B *5701= 5,6% (109 patients)

• NPV= 100%; PVV= 48%

Mallal, N Engl J Med 2008;358(6):568

7 Questions

•Q5: Is the pharmacogenetic test result

actionable?

39

Actionable predictive biomarkers

• Endpoint current PGx

studies:

• OR= 1.90

• (Un)favorable genetic profile

• Increased risk

• Association with ..

• Relationship ..

• …

• Dosing algorithm

• Decision tree

• Scoring system

• Clinical guidelines

40

41

Predictive model: scoring system MTX efficacy in RA

Baseline Variable Score

premenopausal 1 Gender Female

postmenopausal 1

Male 0

Disease activity DAS at baseline 3.8 0

DAS at baseline >3.8, but 5.1 3

DAS at baseline >5.1 3.5

Immunological factors Rheumatoid factor negative and non - smoker 0

Rheumatoid factor negative and smoker 1

Rheumatoid factor positive and non - smoker 1

Rheumatoid factor positive a nd smoker 2

Genetic factors MTHFD1 1958 AA genotype 1

AMPD1 34 CC genotype 1

ITPA 94 A - allele carrier 2

ATIC 347 G - allele carrier 1

Other ge notypes 0

Baseline Variable Score

premenopausal 1 Gender Female

postmenopausal 1

Male 0

Disease activity DAS at baseline 3.8 0

DAS at baseline >3.8, but 5.1 3

DAS at baseline >5.1 3.5

Immunological factors Rheumatoid factor negative and non - smoker 0

Rheumatoid factor negative and smoker 1

Rheumatoid factor positive and non - smoker 1

Rheumatoid factor positive a nd smoker 2

Genetic factors MTHFD1 1958 AA genotype 1

AMPD1 34 CC genotype 1

ITPA 94 A - allele carrier 2

ATIC 347 G - allele carrier 1

Other ge notypes 0

Wessels, Arthritis & Rheum 2007;56(6):1765

Sum of score = ……………………………………………………...

42

Good clinical response

Good clinical

response (proportion

at t= 6 months)

Wessels, Arthritis & Rheum 2007;56(6):1765

7 Questions

•Q6: Is pharmacogenetic testing feasible?

43

Costs

$1

$10

$100

$1.000

$10.000

$100.000

$1.000.000

$10.000.000

$100.000.000

$1.000.000.000

sep-

01

sep-

02

sep-

03

sep-

04

sep-

05

sep-

06

sep-

07

sep-

08

sep-

09

sep-

10

Wetterstrand KA. www.genome.gov/sequencingcosts

Genotyping technology

45

Taqman

Pyrosequenching

High Resolution Melting

46

DNA-chip technology

Amplichip

33 CYP2D6 variants

3 CYP2C19 variants DMET-Plus array

Drug Metabolizing Enzymes and Transporters

1,936 variants in 225 genes

47

Affymetrix fluidic station 450Dx en Scanner 3000Dx

Pharmacogenetic service: genotyping and consult

48

http://www.lumc.nl/con/3092/

Do patients want PGx screening?

• Feasibility of pharmacy-initiated

pharmacogenetic screening for CYP2D6

and CYP2C19 in primary care setting

• Polypharmacy patients; >60 yrs

• Screening; no ADE

• Provided informed consent: 58.1%

• DNA extraction (Oragene®): 83.3%

• Call rate:

• 93.3% CYP2D6

• 100% CYP2C19

• Guideline application dispensing records:

100%

49 Swen, Eur J Clin Pharmacol 2011, 8 Oct

7 Questions

•Q7: Where do I find up to date information

for interpretation of pharmacogenetic test

results?

50

Adoptation of PGx by US Physicians: National survey

• To benchmark physicians’ level

of knowledge and extent of use

of PGx testing

• 397,832 questionnaires

• 10,303 respondents

• 97.6% agreed that genetic

variations may influence drug

response

• 10.3% felt adequately informed

about PGx

• 29% had received any PGx

education

• 12.9% had ordered a PGx test

(6 mo)

Stanek, Clin Pharmacol Ther 2012;91(3):450

Difficulties in interpretation

• One gene – one drug

• TPMT – mercaptopurine

• UGT1A1 – irinotecan

• HLA *5701 - abacavir

• One gene – many drugs

• CYP2D6, CYP2C19

• polypharmacy

• More genes – one drug

• Tricyclic antidepressants

• More genes – many drugs

• Pharmacological knowledge

clinical pharmacist

• Drug metabolism, interactions

52

Pharmacists’ expectations towards pharmacogenetics

• To describe the expectations, opinions

and concerns of pharmacists

• Survey 284 pharmacists in Quebec

(Canada)

• 59% community pharmacy

• 28% hospital pharmacy

• 95.6% would be willing to

recommend testing

• 7.7% currently felt comfortable

advising patients

• 96.6% would like to undertake

education on pharmacogenetics

53 De Denus, Pharmacogenomics 2013;14(2):165

Pharmacists?

54

56

Level of Evidence and Clinical Relevance gene-drug interaction

Swen, Clin Pharmacol Ther 2008;83(5):781-8

Swen et al, Clin Pharmacol Ther. 2011 ;89(5):662

Discharge recipe

59

Clinical rule DPYD genotyping

New Prescription

Capecitabine, 5-Fluorouracil,

Tegafur?

Pop up: Please send bloodsample to

pharmacy for DPYD genotyping

Result genotyping DPYD*2A

(rs3918290)

PM Prescribe an alternative drug

IM Reduce the starting dose to

50%; then dose intensification

upon toxicity

EM Standard dose

Yes

Yes

Former prescription for

Capecitabine, Fluorouracil, Tegafur?

No

Yes

Is DPYD*2A

genotype known?

Is DPYD*2A

genotype known?

No

Yes

Rule not applicable No

No

Yes

www.pharmgkb.org

61

Dosing

guidelines

Dutch Pharmacogenetics Working Group

www.pharmgkb.org

How did we start pharmacogenetics in Leiden?

• Research driven

• Oncology and rheumatology

• Grant applications

• Publications

• Laboratory for Experimental and Clinical Pharmacogenetics

• Molecular biologist

• Assistant professor in pharmacogenetics

• Implementation clinical practice

• Development guidelines for interpretation tests

• Promoting testing in the clinic

• Electronic prescribing (ordering tests, medication surveillance)

• Education

• Training pharmacists, students

63

Personal view for PGx (germline) testing recommendations

• TPMT – thiopurines

• CYP2C19 – clopidogrel

• CYP2C9-VKORC1 – coumarines

• DPYD – 5FU/capecitabine

• HLA-B – abacavir/carbamazepine

• G6PD – rasburicase

• UGT1A1 – irinotecan

• IL28B – pegintron

• SLCO1B1 – statine + spierpijn

• CYP2D6 – tamoxifen

• CYP3A5 - tacrolimus

• If I was a patient

64

Conclusions

• Drug response is a heritable trait

• Biomarkers are needed for predicting drug response

• Polygenetic markers in both the PK and PD predispose for toxicity and

efficacy

• To increase the explained variance genetic markers should be combined

with other determinants of drug response

• Pharmacogenetic studies should report actionable results

• Observational evidence from well designed and replicated studies may be

acceptable to adjust the dose

• Pharmacogenetics is feasible in the clinic and well accepted by patients and

physicians

• Pharmacogenetic guidelines for interpretation of test results are available

• There is an opportunity for clinical pharmacists to fulfill a new clinical role as

an expert in PGx

65

66

Thanks to

Dr Tahar van der Straaten

Laboratory for Experimental

and Clinical Pharmacogenetics

Prof dr Tom Huizinga Prof dr Hans Gelderblom

Dr Jesse Swen

Backup slides

67

7 Questions

•Q6b: Is pharmacogenetic testing feasible

in the pharmacy department?

68

Clinical Pharmacy & Toxicology LUMC

69

New GMP-facility (2012)

70

71

Cinical Pharmacy & Toxicology LUMC

Clinical Pharmacy

72

Bachelor Pharmacy

4 years

Master Pharmacy

2 years

Pharmacist (PharmD)

Hospital Pharmacy

4 years (zaio)

Clinical Pharmacist

Hospital Pharmacy

6 years (zapiko)

Clinical Pharmacist

(PharmD PhD)

Clin. Pharmacology – 1 year

Clin. Pharmacist/ Clin. Pharmacol.

Clinical Pharmacy Department

• Drug dispensing

• In patients

• Out patients

• Drug Manufacturing

• Laboratory

• QC/Drug levels-PK/Toxicology

• Pharmacogenetics

73

Integration of

74

expertise in clinical pharmac(olog)y in the framework of

Patient Care and Research

Identification – In depth analysis mechanisms – Translation to patient care

Typical PhD thesis – Jan Pander PharmD PhD

• Pharmacogenetics of advanced colorectal cancer treatment

• National CAIRO2 study

• PGx of EGFR and VEGF inhibition

• Clinical PGx association studies

• Pathway candidate gene approach

• GWAS study

• Translation to patient care

75

Typical PhD thesis – Jan Pander PharmD PhD

• Methodological

• Gene-gene interaction analysis in PGx

• Preclinical mechanistic studies

• Activation of tumor-promoting type 2 macrophages by cetuximab

76

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