Title: Pharmacogenetics and Pharmacogenomics
1Pharmacogenetics and Pharmacogenomics
- Kevin Zbuk, MD
- Medical Oncologist
- Juravinski Cancer Centre
- McMaster University
2Outline
- Introduction and definitions
- Basic concepts
- Case studies
- Conclusions
3Pharmacogenetic 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
4(No Transcript)
5(No Transcript)
6Pharmacogenetics
- 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
7Pharmacogenetics 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
8Goals of Pharmacogen(etics)omics
- Maximize drug efficacy
- Minimize drug toxicity
- Predict patients who will respond to intervention
- Aid in new drug development
9The Hope of Pharmacogenomics
- Individuals genetic makeup with allow selective
use of medications such that - Efficacy maximized
- Side effect minimized
10This is the hope/hype
11In 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
12Dominant/Recessive
13Co-dominance
14Empiric 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
15EARLY PK EXAMPLES
16The 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
17Penetrance
- 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.
18Victor 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
19(No Transcript)
20Example 1- Success of Pharmacogenetics in Oncology
21TPMT
- 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)
22TPMT enzyme activity distribution
23Hematologic toxicity according to TPMT genotype
24Evans Nature Reviews Cancer 2006
25FDA 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
26Contribution 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
27Some of it aint genetic
- Age
- Co-morbidities
- Renal and hepatic function (dysfunction)
- Concomitant medications
- Diet and smoking
28Common Disease Common Variant Hypothesis
- Most complex diseases are strongly influenced by
combination of frequent alleles that each only
exert modest effect
Polygenic Model (lnheritance)
29(No Transcript)
30Approach to polygenic pharmacogenomic traits
31Polygenic 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
32(No Transcript)
33(No Transcript)
34(No Transcript)
35(No Transcript)
36(No Transcript)
37(No Transcript)
38(No Transcript)
39Cost 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
40(No Transcript)
41(No Transcript)
42(No Transcript)
43Hapmap project
- There are an estimated 10 million SNPs with MAF
gt1 - Hapmap project genotyped Chinese, Japanese,
African and European individuals (families)
44HapMap 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)
45(No Transcript)
46A more in depth look at PK in clinical practice
47Tamoxifen 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
48J. Hoskins et. al NRC 2009
49About 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
50Evolution 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
51About CYP2D6
P arm
Location 22q 13.1
Q arm
52CYP2D6 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)
53Hoskins et al. Nature Reviews Cancer 2009
54CYP2D6 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
55Consequence 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
56CYP2D6 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
57Reasons 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
58So 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)
59Provocative 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
60More 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)
61Ethnic 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
62Drug 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
63Irinotecan 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
64PD 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
65Review Paper by Pare et al.
66Effect 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
67KaplanMeier 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
68Effect 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
69KaplanMeier 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
70Baseline Characteristics of Genotyped Patients in
the CURE and ACTIVE A Trials.
Paré G et al. N Engl J Med 20103631704-1714
71Why 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
72Conclusion
- 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!!!