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Personalized Medicine: Its Coming Impact on the Health Care System

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Use of genetic information for treatment decisions & drug development ... E.g., Prozac, Tamixofen, Claritan, Inderal, Codeine, Vicodin ... – PowerPoint PPT presentation

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Title: Personalized Medicine: Its Coming Impact on the Health Care System


1
Personalized Medicine Its Coming Impact on the
Health Care System
  • Kathryn A. Phillips
  • Professor of Health Economics Health Services
    Research
  • UCSF

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Uses of Genetic Information
Uses of Genetic Information
Development of gene therapy
Genetic testing for risk stratification
Use of genetic information for treatment
decisions drug development
4
What is Personalized Medicine?
  • Targeting healthcare based on genomic information
    (Genetically-enabled healthcare)
  • Stratified medicine
  • Includes targeting of drugs (pharmacogenomics)
    targeted therapies (drugs based on molecular
    targets)
  • Not individualized
  • Genomics inherited (germline) acquired
    (somatic) mutations

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Will our new knowledge of genomics
revolutionize health care?
  • Increased understanding of genomics raises hopes
    that health care can become more personalized
  • Hope that personalized medicine
  • can improve quality decrease costs

11
Or is there a train wreck coming?
12
Revolution or Train Wreck?
  • In 20 years we will have predictive,
    personalized, preemptive health care
  • NIH Director Zerhouni
  • Hype? YES BUT - inevitable trend towards greater
    stratification targeting
  • Knowledge of human genomics
  • Emphasis on safety
  • High drug costs
  • Regardless of whether hype or not
  • Inevitable that will change landscape
  • of health care

13
The Train Has Left The Station
  • Many genetic tests targeted drugs available or
    coming
  • 1700 clinics/labs using genetic tests for 1500
    diseases
  • 70 tests under consideration for review by
    national advisory committee (EGAPP)
  • Most activity in oncology but more coming in CHD,
    asthma, diabetes, mental health, AIDS
  • W/in cancer, over 62 tests available 104 in
    development (as of 07)

14
The Train Has Left the Station
  • Historically, genetic testing has been used more
    frequently for prenatal/postnatal diagnosis
    rare, highly penetrant genes, e.g., BRCA 1/2
    (breast cancer), HNPCC (colorectal cancer)
  • But personalized medicine is being or could be
    used in clinical practice increasingly for common
    and/or chronic diseases

15
The Train Has Left The Station
  • Cancer
  • HER2/neu testing for trastuzumab (Herceptin)
  • Gene expression profiling for cancer (Oncotype)
  • CYP2D6 testing for tamixofen
  • TPMT testing for leukemia, etc
  • UGT1A1 testing for irinotecan (Camptosar)
  • Coronary heart disease
  • CYP2C9 VKOR testing for coumadin (Warfarin)
  • Beta1-adrenergic receptor testing for
    beta-blockers (bucindolol)
  • Psychiatric illness
  • CYP2D6 testing for SSRIs
  • AIDS
  • HLA-B5701 screening for abacavir

16
The Train Has Left the Station
  • Industry using PGx data for drug development
  • FDA pursuing initiatives to promote PGx
  • Payers looking for approaches to better target
    interventions and PM offers hope
  • Government looking to PM to provide better care
    at lower cost

17
Challenges/Opportunities for Personalized Medicine
  • Shifting Industry Paradigms
  • Determining Value Reimbursement
  • Balancing Innovation Regulation
  • Building an Evidence Base

18
Example of Genetic Test that Could Have Impact
on Health Care
  • 25 all prescribed drugs metabolized by CYP2D6
    enzymes
  • Antidepressants, beta blockers, pain relievers
  • E.g., Prozac, Tamixofen, Claritan, Inderal,
    Codeine, Vicodin
  • Potentially 189M scrips 12.8B
    expenditures/annually in US could be impacted
  • Phillips et al, Nature Reviews Drug Discovery,
    2005

19
Why Get Tested?
  • If poor metabolizer risk adverse reaction
    (cant inactivate drug)
  • If ultrarapid metabolizer risk no effect
    (cant activate drug)
  • Prevalence varies widely by racial group
  • 10 of Caucasians are PMs
  • 10 of Hispanics (Mexican origin) are PMs 10
    UMs
  • Readily available test (250 DTC)

20
How Does CYP2D6 Testing Illustrate Challenges to
Health Care System
21
Were Not in Kansas Anymore
  • Diagnostic industry historically secondary to
    pharma industry but now more important role
  • Is personalized medicine different?
  • Should evidence threshold be similar to drugs or
    diagnostics?
  • Should RCTs be required?
  • Diagnostics such as CYP2D6 test can get lost
  • Black box little data available compared to
    drugs
  • Diagnostic/drug combos require integration of
    historically divided industries regulatory
    mechanisms

22
A Tough Balancing Act
  • FDA must balance regulation innovation
  • Balancing needs
  • Promoting personalized medicine
  • Greater stringency to protect safety
  • Industry innovation
  • How should value be defined and by whom?
  • Who should drive appropriate adoption? FDA? CMS?
    Private payers? Professional groups? Government
    agencies?
  • Does CYP2D6 testing require full FDA approval?
  • Is CYP2D6 testing screening or diagnosis?

23
Wheres The Beef
  • Often limited evidence of clinical utility
  • Often limited evidence on public health impact
  • Not enough known about CYP2D6s contribution to
    drug response
  • Impact on SSRI use unclear
  • One known death of newborn due to mother being an
    ultrarapid metabolizer of codeine
  • FDA issued warning requested label change
  • Minimal reporting in mass media little
    discussion of genetic testing
  • How to balance individual vs. societal
    perspectives?

24
And Whos Buying Lunch..
  • Payers are taking notice because of huge need to
    reduce drug costs
  • CYP2D6 is being used but not as hoped
  • Used to screen out drugs in development
  • Not reimbursed
  • Lack of evidence
  • Example of where everyone benefits so no one
    wants to pay
  • Compare to gene expression profiling test for
    breast cancer
  • Oncotype industry darling because high value
    diagnostic that has achieved reimbursement
    (3500)

25
In Conclusion
  • Where are we now?
  • Not a revolution or train wreck
  • Few success stories but many products in
    pipeline
  • Where are we going?
  • Inevitable trend towards greater personalization
  • Potential to improve quality decrease costs
    but can it be realized?
  • Theres a wonderful rule of thumb for American
    health care
  • Shift happens
  • Uwe Reinhardt
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