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Pharmacogenetics and Pharmacogenomics

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Title: Pharmacogenetics and Pharmacogenomics


1
Pharmacogenetics and Pharmacogenomics
  • Kevin Zbuk, MD
  • Medical Oncologist
  • Juravinski Cancer Centre
  • McMaster University

2
Outline
  • Introduction and definitions
  • Basic concepts
  • Case studies
  • Conclusions

3
Pharmacogenetic versus Pharmacogenomic
  • No universally accepted definitions of either
  • Often used interchangeably
  • Pharmacogenetics used for more than 40 years to
    denote the science about how heritability affects
    the response to drugs.
  • Pharmacogenomics is new science about how the
    systematic identification of all the human genes,
    their products, interindividual variation,
    intraindividual variation in expression and
    function over time affects drug
    response/metabolism etc.
  • The term pharmacogenomics was coined in
    connection with the human genome project
  • Most use pharmacogenetics to depict the study of
    single genes and their effects on interindividual
    differences in (mainly) drug metabolising
    enzymes, and pharmacogenomics to depict the study
    of not just single genes but the functions and
    interactions of all genes in the genome in the
    overall variability of drugs response

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Pharmacogenetics
  • Pharmacogenetics is the study of how genetic
    variations affect the disposition of drugs,
    including their metabolism and transport and
    their safety and efficacy
  • J. Hoskins et. al NRC 2009

7
Pharmacogenetics involves both PK and PD
  • Pharmacokinetic
  • The process by which a drug is absorbed,
    distributed, metabolized, and eliminated by the
    body
  • Pharmacodynamic
  • the biochemical and physiological effects of
    drugs and the mechanisms of their actions

8
Goals of Pharmacogen(etics)omics
  • Maximize drug efficacy
  • Minimize drug toxicity
  • Predict patients who will respond to intervention
  • Aid in new drug development

9
The Hope of Pharmacogenomics
  • Individuals genetic makeup with allow selective
    use of medications such that
  • Efficacy maximized
  • Side effect minimized

10
This is the hope/hype
11
In the Beginning
  • Mendelian genetics single gene single disease
  • single wild type allele and single disease allele
  • Patterns of inheritance included autosomal
    dominant (need only one disease allele) and
    autosomal recessive (need two disease alleles)
  • Followed soon thereafter by additive
    (co-dominant) model
  • Both alleles contribute to phenotype

12
Dominant/Recessive
13
Co-dominance
14
Empiric observations suggesting Pharmacogenetics
important
  • Clinical response to many drugs varies widely
    amongst individuals
  • Same drug-gt same dose -gt same indication in
    different individuals
  • Some respond
  • Some dont
  • Some dont respond and have serious toxicity

15
EARLY PK EXAMPLES
16
The beginning of pharmacogenetics
  • 1950s
  • Inheritance might explain variation in
    individuals response and adverse effects from
    drugs Motulsty
  • Pharmacogenetics defined as study of role of
    Genetics in drug response Vogel
  • Most of studies for next several decades of high
    penetrance monogenic gene-drug interactions
  • Def Monogenetic disease. Mutation at single
    locus sufficient to result in disorder

17
Penetrance
  • Penetrance of a disease-causing mutation is the
    proportion of individuals with the mutation who
    exhibit clinical symptoms.
  • Eg. if a mutation in the gene responsible for a
    particular autosomal dominantdisorder has 95
    penetrance, then 95 of those with the mutation
    will develop the disease, while 5 will not.

18
Victor McKusick
  • Established Online Mendelian Inheritance in Man
    in early 80s
  • Categorized majority of Mendelian Disorders
  • Became very clear that there are many different
    disease alleles for many disorders (allelic
    heterogeneity)
  • Recently many disorders have associated modifier
    genes that modify disease phenotype
  • Eg. Age-of-onset and severity

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Example 1- Success of Pharmacogenetics in Oncology
  • TPMT

21
TPMT
  • Main metabolizer of chemotherapeutic agents 6MP
    and azothiopurine (used mainly in blood based
    malignancies)
  • TPMT deficiency leads to severe toxicity
    associated with treatment (potential mortality)

22
TPMT enzyme activity distribution
23
Hematologic toxicity according to TPMT genotype
24
Evans Nature Reviews Cancer 2006
25
FDA approved pharmacogenetic tests
Gene Drug Consequence
TPMT 6MP Toxicity
CYP2D6 Tamoxifen Decreased efficacy
UGT1A1 Irinotecan Toxicity
CYP2D6 Codeine Ineffective analgesia
These genes all modulate Pharmokinetics
26
Contribution of High Penetrance Monogenic Model
to PG
  • Contribution likely not as large as initially
    anticipated
  • For most pharmacologic traits might be 15-20 at
    most
  • Could consider this penetrance
  • Redundancy likely a major contributing factor
  • MANY ENZYMES INVOLVED IN DRUG METABOLISM WITH
    MANY ALTERNATE PATHWAYS
  • Dichotomous disease versus quantitative trait
  • Much more likely polygenic model with
    gene-environment interactions

27
Some of it aint genetic
  • Age
  • Co-morbidities
  • Renal and hepatic function (dysfunction)
  • Concomitant medications
  • Diet and smoking

28
Common Disease Common Variant Hypothesis
  • Most complex diseases are strongly influenced by
    combination of frequent alleles that each only
    exert modest effect

Polygenic Model (lnheritance)
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Approach to polygenic pharmacogenomic traits
31
Polygenic Model and PG
  • Elucidation unlikely possible before advances in
    genomics
  • Technologic advances
  • High throughput sequencing of DNA
  • Affordable genotyping of 100ks to 1-2M SNPs
  • Genomic knowledge advances
  • Especially Human Genome Project and HapMap
    Projects

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Cost of Genotyping
  • In 2005 (5 years ago!)
  • 1600 to genotype 250K SNPs in one individual
  • 2009
  • 250 to genotype gt1Million SNPs
  • 2014
  • -200-250 to genotype gt5 millions SNPs

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Hapmap project
  • There are an estimated 10 million SNPs with MAF
    gt1
  • Hapmap project genotyped Chinese, Japanese,
    African and European individuals (families)

44
HapMap Project
Phase 1 Phase 2 Phase 3
Samples POP panels 269 samples (4 panels) 270 samples (4 panels) 1,115 samples (11 panels)
Genotyping centers HapMap International Consortium Perlegen Broad Sanger
Unique QC SNPs 1.1 M 3.8 M (phase III) 1.6 M (Affy 6.0 Illumina 1M)
Reference Nature (2005) 437p1299 Nature (2007) 449p851 Draft Rel. 3 (2010)
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A more in depth look at PK in clinical practice
  • Tamoxifen use and CYP2D6

47
Tamoxifen metabolism
  • Needs to be converted to endoxifen to be active
  • catalysed by the polymorphic enzyme cytochrome
    P450 2D6 (CYP2D6)
  • 6-10 European population deficient in this
    enzyme
  • Efficacy of tamoxifen likely low in this
    population
  • Suggests consider alterative treatments

48
J. Hoskins et. al NRC 2009
49
About the CYPs
  • Membrane bound enzymatic proteins
  • Involved in oxidation, peroxidation and reductive
    metabolism
  • Responsible for gt90 of drug transformation
  • Greater than 50 different CYP genes encoding 50
    different proteins
  • CYP2D6 present mainly in liver and a major player
    in drug metabolism from antidepressants to
    antihypertensive to chemotherapy

50
Evolution of CYP nomenclature
  • Initially astute clinical observation of unusual
    drug response
  • Such responses then found to be heritable
  • Early example of phenotype to genotype approach
  • CYP2D6 polymorphism the first described
  • Increasing recognition of poor metabolizer
    phenotype occurred at time that genotyping
    technology in evolution

51
About CYP2D6
P arm
Location 22q 13.1
Q arm
52
CYP2D6 alleles
  • There are gt70 described in this gene
  • Bottom line variants either cause no change,
    decrease somewhat, or significantly decrease
    metabolism
  • Extensive metabolizers ( EM), intermediate (IM)
    metabolizers, and poor metabolizers (PM)
  • EM is the standard metabolism allele against
    which others are compared (consider it the wild
    type)

53
Hoskins et al. Nature Reviews Cancer 2009
54
CYP2D6 alleles Copy Number Variation
  • Throughout the genome there are areas of DNA that
    are represented in variable copies in individuals
    (CNV)
  • CYP2D6 is one such area
  • Up to 16 copies seen in some individuals
  • NORMAL VARIANT
  • ULTRARAPID METABOLIZERS

55
Consequence of CYP2D6 alleles?
  • EM/EM or EM/IM(PM) normal metabolizers
  • IM/IM or IM/PM intermediate metabolizers
  • PM/PM poor metabolizers
  • Poor/(Intermediate) metabolizers have much lower
    levels of endoxifen than intermediate/ rapid
    metabolizers

56
CYP2D6 Genotype and clinical outcomes
  • Several (small trials) have suggested decreased
    efficacy of Tamoxifen in poor (intermediate)
    metabolizers both in adjuvant therapy and in
    treatment of metastatic disease (see Hoskins NRC
    2009 for details)
  • All retrospective
  • Largest was only statistically significant
    association in univariate analysis
  • In additions several trials have not confirmed
    these results

57
Reasons for discordant results in CYP2D6 trials
  • Did not genotype many of the rarer poor
    metabolizer alleles
  • Did not account for concurrent use of other drugs
    metabolized by CYP2D6 in many cases
  • Different dose of Tamoxifen in several trials
  • Did not assay endoxifen levels
  • Power (poor metabolizers rare)
  • Unknown variants in other genes whose products
    involved in tamoxifen metabolism

58
So what is needed to clarify the issue of
relevance of CYP2D6 genotype and clinical
relevance?
  • Large randomized trial that compares standard
    dosing of tamoxifen to genotype adjusted dosing
  • Until that point clinical utility of testing
    (commerically available) unclear
  • Should recommend avoiding SSRIs that inhibit
    CYP2D6 significantly (see later)

59
Provocative thoughts
  • In post-menopausal breast cancer tamoxifen is
    falling out of favor due to the efficacy of
    Aromatase Inhibitors (inhibit extragonadal
    production of estrogen)
  • AI shows increased efficacy c/w tamoxifen
  • BUT MUCH MORE EXPENSIVE AND DIFFERENT S/E PROFILE
  • Some suggestion that increased efficacy of AI
    completely explained by decreased efficacy of
    Tamoxifen in CYP2D6 IM and PM
  • Punglia (2008) JNCI

60
More relevant to pre-menopausal woman
  • Cant use AI alone
  • In poor metabolizer could consider
  • Increased dose???
  • Alternative estrogen receptor modulator not
    metabolized by CYP2D6 (eg. raloxifen)
  • Consider AI with ovarian ablation (chemical or
    otherwise)

61
Ethnic Differences in IM and PM of CYP2D6
  • PM alleles more common in European population
  • IM alleles much more common in East Asian and
    African population
  • In East Asians Intermediate Metabolizers show
    similar in vitro CYP2D6 activity c/w Poor
    Metabolizers in European populations
  • Gene-gene or gene-environment interactions

62
Drug Co-administration
  • Antidepressant use common in breast cancer
    patients
  • Depression more common in breast cancer patients
    and antidepressant often used to treat how
    flashes associated with tamoxifen use
  • SSRIs (eg. Fluoxetine and paroxetine) inhibit
    CYP2D6
  • Level of inhibition varies between different
    drugs with paroxetine having most inhibition and
    venlafaxine causing none
  • Kelly et al. BMJ 2010
  • Population based cohort study of women receiving
    tamoxifen adjuvantly for treatment breast cancer
  • Mortality from breast cancer increased in group
    using paroxtetine concurrent with tamoxifen

63
Irinotecan PK example in Colon Cancer
  • Excreted after conjugation (glucuronidation) by
    UGT1A1
  • TATA element (consists of TA repeats) in UGT1A1
    promoter shows correlation with transcription
    levels
  • More repeats lower transcription levels
  • An example of a non-SNP variant with clinical
    relevance
  • Homozygosity for 7-repeat allele, also known as
    UGT1A128 associated with severe toxicity
    (diarrhea and low WBC counts mainly)
  • Results have been somewhat inconsistent but
    meta-analysis confirms same especially with
    higher doses of Irinotecan
  • Homozygosity only in 5-15 of individuals

64
PD example in Colon Cancer Treatment
  • EGFR inhibitors used in treatment of advanced
    colon cancer (eg. Cetuximab)
  • Tumors with k-RAS (and probably BRAF) mutations
    will NOT respond to EGFR inhibition

Nature Rev. Cancer July 2009
65
Review Paper by Pare et al.
66
Effect of Clopidogrel as Compared with Placebo on
Clinical Outcomes among Patients with Acute
Coronary Syndromes in the CURE trial, Stratified
According to Metabolizer Phenotype.
Paré G et al. N Engl J Med 20103631704-1714
67
KaplanMeier Curves for Event-free Survival
According to CYP2C19 Loss-of-Function and
Gain-of-Function Allele Carrier Status among
European and Latin American Patients with Acute
Coronary Syndromes in the CURE Trial.
Paré G et al. N Engl J Med 20103631704-1714
68
Effect of Clopidogrel as Compared with Placebo on
Clinical Outcomes among Patients with Atrial
Fibrillation in ACTIVE A, Stratified According to
Metabolizer Phenotype.
Paré G et al. N Engl J Med 20103631704-1714
69
KaplanMeier Curves for Event-free Survival
According to CYP2C19 Loss-of-Function and
Gain-of-Function Allele Carrier Status among
European Patients with Atrial Fibrillation in
ACTIVE A.
Paré G et al. N Engl J Med 20103631704-1714
70
Baseline Characteristics of Genotyped Patients in
the CURE and ACTIVE A Trials.
Paré G et al. N Engl J Med 20103631704-1714
71
Why is pharmacogenomics not widely utilized in
the clinic
  • It required a shift in clinician attitude and
    beliefs not one dose fits all
  • Paucity of studies demonstrating improved
    clinical benefit from use of pharmacogenomic data
  • Still much to be learned
  • Even some of the black block warnings currently
    on drug labels may be overcalls of importance
  • Genome wide interrogation will likely be
    important to get the entire picture

72
Conclusion
  • Genetic variation contributes to inter-individual
    differences in drug response phenotype at every
    pharmacologic step
  • Through individualized treatments,
    pharmacogenetics and pharmacogenomics are
    expected to lead to
  • Better, safer drugs the first time
  • More accurate methods of determining appropriate
    drug dosages
  • Pharmacogenomics offers unprecedented
    opportunities to understand the genetic
    architecture of drug response
  • HOWEVER IN MANY CASES NOT YET READY FOR PRIME
    TIME!!!
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