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Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics and Systems Pharmacology University of Florida at Lake Nona November 15, 2016

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Page 1: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Pharmacogenomics: Assessment of

Therapeutic Risk vs Benefit

Lawrence J. Lesko

Clinical Professor

Center for Pharmacometrics and

Systems Pharmacology

University of Florida at Lake Nona

November 15, 2016

Page 2: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Acknowledgment

I wish to thank Dr. Stephan Schmidt, Assistant

Professor and Associate Director in the UF

Center for Pharmacometrics and Systems

Pharmacology for making this presentation on

my behalf.

Page 3: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Three Goals For This Presentation

1. Define pharmacogenetics (PGx) –

bring granularity to the concept

2. Scenarios where PGx has benefited

health outcomes

1. Major barriers to actually applying PGx

more widely in clinical medicine

Page 4: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Nomenclature: Words Matter

Pharmacogenomics (disease variability) is

much broader than pharmacogenetics.

Pharmacogenomics has revolutionized

treatment of cancer. Period.

Pharmacogenetics (dose variability) has not

had the impact of pharmacogenomics.

Page 5: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Definition of Pharmacogenetics (PGx)

The term is meant to cover

all types of investigations

that provide information

about a person’s genetic

makeup that address

questions about the choice

of drug and drug doses

that are likely to work best

for that particular person

Page 6: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Inspiration Thought: The Secret of

Success for DNA

We have all the genetic information we need

at birth to select drugs and identify doses.

In the ideal world we carry that information

with us and use it when needed

Page 7: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

When Would We Need to Use PGx?

Define qualitative/quantitative differences

between subgroups in terms of PK and PD

Improve a priori drug and dose selection

(predict) rather than a posteriori (react) for

individual health (precision medicine)

Provide better and more cost-effective clinical

outcomes for population (population health)

Page 8: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

PGx in 2016

Prevention of disease is better than cure – we

can all agree

But when disease occurs – cancer, diabetes,

heart disease – drug selection and dose choice

guided by companion diagnostics is preferred

over empiric approaches

Companion diagnostics are designed

to be paired with specific drugs if there

is a specific genetic trait that is present

in some, but not all patients.

Page 9: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Foundation of PGx is Companion

Diagnostics

Genetic tests – intended to separate variability in

clinical response among subgroups causes by

genes from that caused by lifestyle, environment

or other non-genetic factors

PD GENES

PK GENES

LAB TEST

Composite Phenotype

--Other therapies

--Disease factors

--Demographics

--Approved labels

--Literature

Page 10: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Approved Drug Labels With PGx

Information: Improve “Old” Drugs

Lesko and Woodcock, Nat Rev Drug Discov (2004), 3(9), 763-769

Page 11: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

More Important Use of PGx Is Dosing

NTI Drugs Such as Warfarin

If you gave warfarin

to a huge sumo

wrestler and a tiny

sumo wrestler, the

large sumo wrestler

could bleed

uncontrollably at a

dose much smaller

than what you gave

the tiny sumo

wrestler

Page 12: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

PGx Test Information in 140 Labels

Actionable44%

Informative28%

Required24%

Recommended4%

Sources: PharmGKB and FDA Table of Pharmacogenomic Biomarkers in Drug Labels (2016)

Page 13: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Examples of Interpretation of Genetic Tests

HLA-B*5701

CYP2C9

VKORC1

CYP2C19

PK & PD

GENES

PD GENE

PK GENE

AVOID OR USE WITH

CAUTION WITH

FREQEUENT

MONITORING

USE WITH CAUTION WITH

DOSE ADJUSTMENT AND

WITH FREQEUENT

MONITORING

USE AS DIRECTED IN

PRODUCT LABEL

Page 14: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

The True Story of Jeff Cluse

Page 15: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

The Rest of the Story

A 51 yr old and I can’t enjoy my 4 grandchildren

“My chronic back injury limits my mobility and back pain is a way of life for the

past 5 years. Physical therapy and multiple drugs did little to ease the pain.”

“I visited the UF Pain Management Clinic and I was prescribed oxycodone but

my back pain got worse. My clinical pharmacist told me about a CYP2D6 test

and I agreed to have it done.”

“The test changed my life. I was a CYP2D6 poor metabolizer and I could not

convert oxycodone to oxymorphone. I was given meperidine (Demerol@) which

work better in reducing my back pain.”

“Now I can do more with my grandkids” (Clinical Utility)

Page 16: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

GeneSightR: For Neuropsychiatric Drugs

• An integrated and weighted multivariate

genetic test of 8 PK genes and 4 PD genes

• Indications• Uncontrolled symptoms when considering a drug

or dosage change

• Lower than expected efficacy or higher than

expected unwanted side effects

• Polypharmacy where drug-drug interactions

conferring less benefit or greater risk

Note: I am on the SAB for Asssurex

Page 17: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics
Page 18: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Barriers: Prevailing Attitude Among

Payers

“…there is good evidence that persons having

gene variants of CYP2C9 and VKORC1 have

heightened response to warfarin, the evidence

for improvied health outcomes attributed to PGx

testing to determine warfarin responsiveness

fails to meet standards of evidence to establish

a basis for coverage.”

Center for Medicare and Medicaid, May 4, 2009

Page 19: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

How Payers and Clinicians Perceive Cost,

Effectiveness and Value of PGx Testing

ALess effective,

Moreexpensive[Reject]

DMore effective,More expensive

[Problem]

BLess effective, Less expensive

[Unusual]

CMore effective, Less expensive

[Adopt]

PGx testing

less effectivePGx testing

more effective

PGx testing less expensive

PGx testing more expensive

Page 20: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Reasons That Reimbursement and Adoption

of PGx Tests Been So Limited

Considerations Key Points

Costs Easy to define ($400 FOR 2C9/VKORC1 test)

Effectiveness

Evidence in all cases AFTER approval of drug

Evidence often DISEASE- or DRUG-specific

Small sample sizes

Meaningful RCT approaches non-existent

Value and

Judgment

Is the evidence reliable?

What % of variability remains unexplained?

Is evidence generalizable?

Are clinical outcomes improved?

Are there alternatives that are just as good?

Page 21: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Warfarin Genetic Testing: More Effective,

Less Expensive?

① The % of patients within 20% of steady state

dose: 52% (PGx) vs 37% (empiric)

① The odds of patients being properly dosed

using a PGx algorithm vs empiric: 2.18

② The PGx algorithm performed much better

than empiric in patients requiring higher (>49

mg/week) and lower (<21 mg/week)

Finkelman et al. JACC (2011), 57:612-618. Woodcock and Lesko, NEJM

(2009), 360:811-813

Page 22: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Physician Education and Lab Reports

Clinical medicine does not yet have the tools to

put PGx test results to good use

For instance, would your physician know whether

CYP2C9 *1/*3 is good or bad when treating a

patient with warfarin?

Or worse yet, if lab results came back as

CYP2C9*3 (1075A>C) and VKORC1 AA (-

1639G>A)?

Page 23: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

We Need More Decision Support Tools to

Reap the Benefits of PGx

Page 24: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Pre-emptive PGx Testing Can Be Cost-

Effective To Improve Benefit/Risk

Testing HIV patients for HLA-B*5701 before

giving abacavir saved $30,000 per hyper-

sensitivity reaction avoided in Caucasians

Mandatory testing for HLA-B*1502 in

Singapore before giving CBZ saved $37,000

per Chinese to avoid SJS

Schackman et al, AIDS (2008), 22:2025-2033. Dong et al, Neurology (2012), 79:1259-

1267

Page 25: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Lessons From Abacavir and CBZ: PGx and

Drug Safety Works Very Well

The cost of genotyping will get cheaper

and cheaper with increasing use meaning:

Benefit/Risk ~ Infinity

Page 26: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

http://www.qd-qts.com

Page 27: Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit · Pharmacogenomics: Assessment of Therapeutic Risk vs Benefit Lawrence J. Lesko Clinical Professor Center for Pharmacometrics

Thank you for your

time and attention

[email protected]

407-313-7008