Pharmacogenomics of DMEs PGEN I Introduction...
Transcript of Pharmacogenomics of DMEs PGEN I Introduction...
Pharmacogenomics of DMEs PGEN I
Introduction and
CYP3A, TPMT, ALDH2, UGT, GSTM1, HLA
MEDCH 527
Optimization of Drug Therapy
• Individualized drug therapy is an old concept, based on the recognition that individual patients can have markedly different responses to a standardized treatment regimen.
Efficacy: Estimated that 20-75% of subjects in recent major clinical trials 14 drug categories) derived no clinical benefit from treatment.
Toxicity: Estimated that serious ADRs (requiring hospitalization) occurred
at an incidence rate of 6.7% (1966-96), and there were ~100,000 fatal ADRs/year (JAMA 279:1200-5, 1998).
1 Treat with alternative drug or dose
Profile for non-response
or toxicity
Treat with conventional drug or dose
Profile for favorable response
2
Promise of PM/PGX Testing
Population stratification into sub-groups with
similar phenotypes.
Drug Sponsor Indication Gene/Genotype(s) Effect of Genotype
Abacavir GSK HIV-1 HLA-B *5701 Hypersensitivity
Azathioprine Prometheus Renal allograft transplantation, RA, IBD
TPMT *2, TPMT*3A, TPMT *3C
Chronic myelotoxicity and resulting in neutropenia
Carbamazepine Novartis Epilepsy HLA-B *1502
Stevens-Johnson syndrome and Toxic epidermal necrolysis
Cetuximab Imclone Metastatic colo- rectal cancer
KRAS mutations in codons 12/13
Loss of efficacy
Clopidogrel BMS Anticoagulation CYP2C19*2 CYP2C19*3
Loss of efficacy
Irinotecan Pfizer Metastatic colo- rectal cancer
UGT1A1*28 Severe diarrhea, neutropenia
Panitumamab Amgen Metastatic colo- rectal cancer
KRAS mutations in codons 12/13
Loss of efficacy
Trastuzumab Genentech HER2+ breast cancer
HER2 expression HER2 expression needed for therapeutic benefit
Warfarin BMS Anticoagulation
VKORC1 variants, CYP2C9*3
Bleeding complications
Genetic Information on Drug Labels – adapted from Hudson KL. NEJM 365, 2011.
CCT – Pro CTT - Leu
• ~3 billion bases in the genome; DNA variation occurs on widely different scales:
- Deletions, Insertions, Rearrangements
- Copy number variation (CNVs) e.g. XAAGAAGX àXAAGAAGAAGAAGX
- Epigenetic variation - e.g. DNA methylation
- Single nucleotide polymorphisms (SNPs) e.g. 1079C à1079T
coding variation (synonymous and non-synonymous) non-coding variation (intronic, flanking)
• SNPs are frequent, occurring about once in every 1000 DNA bases when comparing 2 individuals (varies considerably with region); over 50 M identified (dbSNP)
Major Types of Genetic Variation
Gene Structure and Expression
I II III
Introns
II III ImRNA Protein
Splicing
I II III
Promoter
Primary RNA
DNA
Transcription
(Mature)
Exons
Translation
O-Me
Post-Translational Modification
3’ 5’
Regulation of Translation By microRNA
3’-UTR 5’-UTR
Regulation of Transcription by NRs
Enhancer Epigenetic
Loci
Allele: Any site(s) of sequence variation in a gene e.g. C430>T in CYP2C9 --> CYP2C9*2
Polymorphism: Occurs when the commonest identifiable allele has a
frequency no greater than 0.99 - ‘Polymorphic variant’: Frequency ≥ 0.01 - ‘Common variant’ Frequency ≥ 0.10 - ‘Rare variant’: Frequency < 0.01
SNP: Single Nucleotide Polymorphism Haplotype: Patterns of co-occurrence of variant sites within a gene Pharmacogenetics: Study of the effect of genetic variability on the toxicity of
drugs and other xenobiotics: - focus on monogenic traits and drug disposition
Pharmacogenomics: Application of genomic information to understanding
individual variations in drug response: - focus on polygenic traits and disease states
Monogenic Pharmacogenetic Disorders - Historical and P450 Based
Disorder Gene Pivotal reference Phenylthiourea non-taster TAS2R1 Snyder, 1932; Atypical serum cholinesterase BCHE Kalow and Genest, 1957 Glucose-6-phosphate dehydrogenase deficiency G6PD Marks and Gross, 1959 Isoniazid slow N-acetylation NAT2 Evans et al., 1960 Fish-odor syndrome; Trimethylaminuria FMO3 Humbert et al., 1970 Debrisoquine/sparteine poor metabolizer CYP2D6 Eichelbaum, 1975 S-mephenytoin oxidation deficiency CYP2C19 Kupfer and Preisig, 1984 Coumarin, Nicotine oxidase deficiency CYP2A6 Yamano et al., 1989 Warfarin (Tolbutamide) oxidation defect CYP2C9 Steward et al., 1997 Tacrolimus oxidation deficiency CYP3A5 Keuhl et al., 2001
Adapted/condensed from Nebert and Vessell, Eur. J. Pharmacol. (2004)
Polygenic Nature of Drug Effects
Host Susceptibility Genes
Disease Pathogenesis Genes
Drug Receptor/Target Genes
Drug Disposition Genes
Efficacy
Toxicity
William Evans, SJCRH
Top 200 in US - 2008
Covered here
Mechanisms of Genetic Variation Among P450s
Adapted from M. Ingelman-Sundberg, Mutat. Res. (2001)
Single Gene Duplicated Gene
RNA xs mRNA
No Altered Low enzyme Normal High enzyme enzyme enzyme level enzyme expression expression
1) protein instability 2) altered Km, Vmax 3) substrate specificity
No Metabolism Reduced Metabolism Normal Metabolism Increased Metabolism CYP2D6*5 CYP2D6*10, CYP2C9*11 CYP2D6*1XN CYP2A6*4 CYP2C9*3, CYP2D6*17 CYP2A6*1X2 CYP2D6*4 CYP2C19*2
Continuum of phenotypic effects?
Deleted Gene
no mRNA Coding SNP
Reg. SNP
The Concept of Extensive Metabolizer and Poor Metabolizer Phenotypes and Effects on Drug Clearance
frequ
ency
1 10 100
• early stop codon • unstable protein • exon skipping • no transcript • gene deletion
• promoter SNPs • amino acid substitutions • regulatory SNPs
frequ
ency
1 10 100 “PM” “EM”
Drug Clearance Adapted from W. Evans, St. Jude
CYP3A4 Polymorphisms • ~22 unique alleles (many coding-region SNPs) identified for CYP3A4 gene – see the P450 allele web-site (www.cypalleles.ki.se/cyp3a4.htm)
• At least one of these (3A4*20 - a frameshift inducing a truncated protein) abolishes enzyme activity in vitro, but the allele frequency activity is extremely low (<0.06% in a white German population). CYP3A4*22 associated with low mRNA levels (allelic imbalance) and reduced simvastatin clearance (Elens et al, Pharmacogenet Genomics, 2011)
Ingelman-Sundberg et al., The Pharmacogenomics Journal (2013)
Kuehl et al., 2001; Lin et al., 2002
1 2 3 4 5 6 7 8 9 10 11 12 13 3B
CYP3A5*3 (G) CYP3A5*1 (A)
CYP3A5 protein
1 2 3 4 5 6 7 8 9 10 11 12 13 5’ UTR 3’ UTR
(wt-CYP3A5 mRNA) (SV1-CYP3A5 mRNA)
A→G (intron-3)
truncated, inactive protein
1 2 3 4 5 6 7 8 9 10 11 12 13
CYP3A5 Genetic Polymorphism
Representative CYP3A5 Substrates Anti-cancer Drugs vincristine (neurotoxicity) irinotecan (efficacy response rate) etoposide (efficacy)
Immunosuppressants cyclosporine (neurotoxicity, renal toxicity) tacrolimus (neurotoxicity, renal toxicity)
Antimalarials quinine (cinchonism)
Sedative/Hypnotics alprazolam midazolam
Metabolic Fate of Tacrolimus
Tacrolimus
13-DMT 12-HT 31-DMT
12-OH-DMT
CYP3A5>4
CYP3A5>4
CYP3A5>4
• Tacrolimus is used to prevent grafted organ rejection (immune suppressant) • CYP3A5 is one of 2 enzymes (also CYP3A4) that metabolically clear tacrolimus
from the body • CYP3A5 makes all 4 primary metabolites, but preferentially the major one (13-
DMT), 12-HT and, 31-DMT
15-DMT CYP3A4>5
Contribution of CYP3A5 to Hepatic Tacrolimus Metabolism
13-DMT Formation
CYP3A4 Km (µM) Vmax (nmol/min/nmol) Clint (ml/min/nmol)
0.21 8.0 38
CYP3A5 Km (µM) Vmax (nmol/min/nmol) Clint (ml/min/nmol)
0.21 17.0 82
Human Liver Microsomes
Tacrolimus Disappearance (mL/min/mg)
CYP3A4
6.1
(3.6)
CYP3A4 +CYP3A5
15.9 (9.8)
Unbound 13-DMT formation clearance (rCYP3A) and unbound liver microsomal tacrolimus disappearance clearance
Dai et al., DMD, 2006
The CYP3A4 content for the 10 matched microsomal preparations represented in each group was equivalent. The nominal initial tacrolimus conc was 0.2 µM; unbound conc determined after measurement of nonspecific binding.
Unbound Km and Clint calculated after correction for nonspecific binding.
CYP3A5 Genotype and In Vivo Tacrolimus Disposition
Haufroid et al. 2004
High CLint
Low CLint
Tacrolimus Metabolic Clearance In Vivo
• Subjects carrying a functional CYP3A5*1 allele have a higher clearance than those with two variant alleles.
• The importance of individual metabolic pathways and sensitivity to the CYP3A5 genotype matches the in vitro prediction. Zheng et al, CPT, 2012
CYP3A5*1 and Tacrolimus Clinical Outcomes
Ojo, NEJM, 2003
Table 4. Mean apparent urinary tacrolimus clearance based on a 96-hour collection
Mean tac CLurinary
based on AUCblood
Mean tac CLurinary/eGFR based on AUCblood
Mean tac CLurinary based on AUCplasma
Mean tac CLurinary/eGFR based on AUCplasma CYP3A5 expressors 2.01±0.57 0.017±0.007 50.15±13.67 0.41±0.17
CYP3A5 nonexpressors 3.15±1.69 0.029±0.019 97.71±59.89 0.89±0.66 Difference% -36.2% -41.7%
-48.7%
-53.9%
P value 0.04 0.05 0.01 0.02
Zheng et al, Clin Pharmacol Ther, 2012
O
O OCH3
O O
H
H
O
OHGua-N7
AFB1 Guanine-N7 adduct
O
O OCH3
O O
H
H
O
OHGS
AFB1 GSH adduct
O
O
O
OCH3
O O
H
H
O
O OCH3
O O
H
H
O
O
O
O OCH3
O O
H
H
O
HOOH
AFB1 AFB1 exo-8,9-epoxide AFB1 dihydrodiol
CYP3A
GSH GST
DNA
H2O
EH
multiple monohydroxylation and keto reduction products
CYP3A5*1 allele associated with higher
aflatoxin-albumin adducts in Africans
(Wojnowski et al, 2004)
Aflatoxin Activation -
CYP3A5
Protein-S-aflatoxin adduct (e.g., albumin adduct)
Non-toxic
Primary elimination pathway
Non-toxic
Toxic DNA Adduct Non-toxic: BIOMARKER FOR EXPOSURE TO AFB
Non-CYP, Polymorphic Phase I Enzymes
FMO TMA, nicotine, cimetidine
xanthine oxidase theophylline
cholinesterase succinylcholine
paroxonase organophosphates
ADH ethanol
ALDH2 acetaldehyde
ALDH2 Polymorphisms
• ALDH2*2: Glu487Lys substitution at the NAD+ binding domain causes a 150x increase in the Km for cofactor binding (probably affecting on/off of NAD+ and NADH) and 10x decrease in Vmax. Intrinsic clearance profoundly reduced.
• High frequency in Asian populations
E + NAD+ E-NAD+ + S S-E-NAD+ P-E-NADH P-E + NADH E + P
NAD+ Binding NADH Release Product Release Substrate Binding Hydride Transfer
(steps for forward reaction described)
• ALDH2 catalyzes the elimination of acetaldehyde from the body (converts it to acetic acid).
• Individuals homozygous and heterozygous for the ALDH2*2 allele have a pronounced impairment in their ability to clear acetaldehyde after ingestion of an acetaldehyde source (e.g., ethanol); 220x and 47x increase in the AUC, respectively.
• Acetaldehyde accumulation results in profound cardiovascular changes; e.g., increase in arterial blood flow to the face (flushing).
Acetaldehyde – ALDH2 Genotypes
ALDH2*2/*2
ALDH2*1/*1
ALDH2*1/*2
• M=methoxyacetaldehyde; A = Acetaldehyde; B = benzaldehyde; P = propionaldehyde • Because ALDH2 is functional as a tetramer and heteroteramers exhibit reduced function, the *2 allele
appears semi-dominant. Strongly associated with reduced risk of alcoholism (presumably an aversion to acetaldehyde). Other data suggests increased risk of MALD (ME) toxicity in *2 carriers (Ginsberg et al., Reg Toxicol Pharmacol 36:297-309, 2002).
TPMT: thiopurine methyltransferase XO: xanthine oxidase HGPRT: hypoxanthine guanine phosphoribosyltransferase TIMP: 6-thioinosine monophosphate MTMP: 6-S-methylthioinosine monophosphate TGN: 6-thioguanine nucleotides 6-MP: 6-mercaptopurine MeMP: 6-S-methylmercaptopurine 6-TU: 6-thiouric acid
6-MP TGN
MeMP
TPMT
6-TU
XO
HGPRT DNA
TPMT
Bioactivation Pathway
Det
oxifi
catio
n Pa
thwa
y
TIMP
MTMP
N
N
N
NH
SH
TPMT
(multiple enzymatic steps)
(Purine salvage)
TPMT and 6-Mercaptopurine Disposition
Both TPMT and bioactivation enzymes found in hematopoietic cells; XO found only in the liver
Krynetski and Evans, Pharmacology 61:136-46, 2000
Common Impaired Function TPMT Alleles
• Although there are over 15 different mutant alleles, only a few account for the majority of PM activity throughout the world; *3A more common in Caucasians, *3C in Asians and Africans.
These mutations affect the stability of the enzyme (enhanced proteasomal
degradation), with reduced steady-state Vmax and Clint
Protein t1/2 ~ 18 hr
Protein t1/2 ~ 0.25 hr
Concordance of TPMT Genotype and Phenotype
30
25
20
15
10
5
0
Figure 3. Thiopurine S-methyltransferase (TPMT) activity in patientswith different TPMT genotypes determined by mutation-specific poly-merase chain reaction methods.
Yates et alAnn Int Med 126(8):608-14, 1997
PM: 1/300 IM: 1/10
Clinical Pharmacogenetics Implementation Consortium (CPIC)
Relling et al, CPT 89:387-91, 2011.
• Reduce dose to 1/10 that of normal and frequency to 3 times/week (vs daily) for low activity phenotype.
• For intermediate activity phenotype, reduced dose by 30-50%.
Glucuronosyl Transferases (UGTs)
• 18+ different genes in humans Ø UGT1A – 9 genes, 4 pseudogenes Ø UGT2A (2 genes), 2B (7 genes) Ø Membrane bound, ‘microsomal’ Ø Catalyze the transfer of glucuronic acid to a ‘reactive’ heteroatom
(oxygen, nitrogen, sulfur) • products - glucuronide conjugates- are readily excreted in urine and bile
• UGT1 involved in endogenous bilirubin metabolism, and some xenobiotics; Ø rare variants – Crigler-Najar Syndrome Ø common variants à Gilbert’s (idiopathic hyperbilirubinemia)
• UGT2 involved in steroid metabolism, phenolic xenobiotics (at least 7 forms)
Glucuronosyl Transferases
Guillemete, Pharmacogenomics J
(2003): 3, 136-158
UGT1A1 Variants • There are 60+ unique variants in the UGT1A1 gene
• 4 are associated with a ‘mild phenotype’ Gilbert’s Syndrome – idiopathic hyperbilirubinemia
3 nonsynonymous (rare); 1 common and 2 rare promoter tandem TA repeats
Moderate decrease in function
• 24+ SNPs associated with severe phenotype 18 with Criglar-Najar Syndrome Type I 6 with Criglar-Najar syndrome Type II
Nonsynonymous or truncating; loss of function
UGT1A1 Polymorphism
• Variable tandem repeat, (TA)5-8TAA, in the UGT1A1 promoter modulates gene transcription, protein expression and catalytic activity; 6 repeats – wild type.
• Homozygosity for the (TA)7 allele, UGT1A1*28, associated with ~30% normal bilirubin conjugating activity – Gilbert syndrome (also 7/8 or 8/8 genotypes).
• PMs: 10% allele frequency in Whites; 29-47%, African; 3%, Asians
VNTR
• Undergoes ester hydrolysis (not all that rapid) to active SN-38, which in turn is detoxified by glucuronidation. Multiple UGTs catalyze the reaction (1A1, 1A9, 1A10), but 1A1 seems to dominate.
• Although SN-38 is 1000x more potent Topo-I inhibitor than irinotecan, it circulates at levels 2-3% that of irinotecan and is more highly plasma protein bound (95% v 50%).
• Parallel intestinal/hepatic CYP3A4 pathway and P-gp mediated efflux also significant.
• Conversion of APC to SN-38 does not seem to occur (steric/polarity hindrance), although not tested rigorously.
Innocenti, DMD, 2001; PDR, 2004; Pauluzzi, J Clin Pharmacol, 2004’ Ohuri, Anticancer Res, 2004
P-gp
Association between UGT1A1*28 Genotype and Serum Bilirubin
Marcuello et al., Br J Cancer, 2004
Association Between UGT1A1*28 Genotype and Post-Irinotecan ANC Nadir
• All grade 4 neutropenia (shaded area) occurred in patients carrying the UGT1A1*28 allele; ANC = absolute neutrophil count.
• Exclusion of 7/7 genotype (10% of population) from standard dose would reduce frequency of grade 4 toxicity by 50%. Exclusion of anyone carrying a TA7 allele would eliminate such toxicity, but have poor positive predictive value.
Innocenti et al, J Clin Oncol, 2004
The Human GSTM1 Polymorphism
• Gene deletion in GSTM1 allele • 42-55% of Caucasians are homozygous null • Slightly higher in Asians, lower in Blacks • Homozygotes for the active allele are rare • Phenotype ---> TSO activity in WBC • Genotyping analysis by PCR
GSTM1 null/non-null gene locus
Xu et al., JBC 1998
Simplified overview of benzo[a]pyrene biotransformation
benzo[a]pyrene (+)-benzo[a]pyrene-7,8- oxide
(-)-benzo[a]pyrene-7,8- dihydrodiol
(+)-benzo[a]pyrene-7,8- dihydrodiol-9,10-epoxide
CYP1A1
CYP1A1
mEH
DNA reactive;!lung and skin tumors !
Inactive products
GSTM1 and Lung Cancer • Meta analysis yielded OR of 1.41
- 1593 cases, 2135 controls ��� - 95% CI 1.23 - 1.61, p<0.0001
• Estimated attributable risk, 17% • No large differences with histological type���
- squamous 1.49 (1.22-1.80, n=591)��� - adenocarcinoma 1.53 (1.26 - 1.85, n=482)��� - small cell carcinoma 1.90 (1.27-1.85, n=122)
• Most recent meta analysis (2015) found OR = 1.46
From: McWilliams et al., Cancer Epi Biomark Prev 4: 589-94, 1995 Smith et al, – Polymorphisms in Xenobiotic Conjugation, IN: Gene-Environment Interactions, Chp 8, Wiley Press, 2006 Yang et al., Sci Rep. 2015, 23;5:9392. "
GSTM1 and Lung Cancer Risk- Biological Plausibility?
Supportive: Some activity toward PAH epoxides High amounts in liver, site of much
activation Smokers’ urine more mutagenic in
GSTM1 null Lymphocyte SCE increased in GSTM1
null smokers Interaction with CYP1A1
Not Supportive Very low UGTM1 expression in lung Activity toward BPDE low, compared with GSTP1 Inconsistencies in results across many studies Association evident in adenocarcinoma
Genetic Variation and Rare ADRs
Characteristic Type A Type B
Dose dependent generally yes no clear relationship
Predictable from known pharmacology
yes no
Animal models usually predictable none known
Frequency/severity common/variable rare/severe
First detected Phase I-III Phase IV (post approval)
Pirmohamed, AAPS Journal 8:E20-26, 2006
Hepatic and Idiosyncratic Drug Toxicities
• Because the liver is the dominant site of biotransformation, it is also highly susceptible to metabolically-based toxicity, including immune-based toxicity.
Drug Indication Active Metabolite Toxicity
Chloramphenicol Antimicrobial - restricted Acyl chloride Hematopoietic ToxicityAcetaminophen Analgesia Quinoneimine HepatotoxicityNSAIDS (zomepirac) Inflammation Acyl glucuronides AnaphylaxisPhenytoin Epilepsy Arene oxides Stevens-Johnson, SLEHalothane Anesthesia Trifluoroacetic acid Mild & Severe HepatitisFelbamate Epilepsy - restricted Conjugated alkene HepatotoxicityValproic Acid Epilepsy Acyl CoA HepatotoxicityTiclopidine Antiplatelet - monitored Oxidized thiophene Blood dyscrasiasClozapine Antipsychotic Conjugated imminium ion AgranulocytosisFlutamide Prostate CA - monitored Nitroaromatic HepatotoxicityTolcapone Parkinson’s-monitored Nitroaromatic HepatotoxicityTrovofloxacin Antibiotic - restricted Aminopiperidine oxidation HepatotoxicityTroglitazone Antidiabetic - withdrawn Quinone methide HepatotoxicityZileuton Antiasthmatic-monitored ? HepatotoxicityAbacavir HIV Infection -restricted Carbovir triphosphate Hypersensitivity
Representative drugs that cause severe toxicities
Drug Activation Detoxification Neoantigen Formation Neoantigen Peptide Processing Binding of Antigenic Peptide to HLA Peptide Presentation of Complex T-Helper Cell Recruitment Activation of Killer T-cells or B-cells
P450
(covalent binding in target cell)
(in target cell or APC cell?)
(in APCs; e.g., Kupffer cells)
GST
(to APC cell surface for T-cell recognition)
Target Cell Death
HLA Genotype Dependent
Proposed Hypersensitivity Reaction Mechanism
Abacavir Hypersensitivity
• Nucleoside analog reverse transcriptase inhibitor used in combination therapy to treat HIV-1 infection
• About 5-8% of treated patients will develop a multi-system hypersensitivity reaction, which can be fatal.
• Indications of MHC Gene Involvement: Ø Develops within 6 wks or rarely at all Ø Racial differences in risk (decreased risk in black population) Ø Familial predisposition Ø Evidence for neoantigen formation (haptenation) or direct binding
to MHC
Association of Abacavir Hypersensitivity with HLA Genotype
• Lancet 359:727-32, 2002
• Lancet 359:1121-2, 2002 (GSK Group)
Loci AbacavirHypersensitive
(n = 18)
AbacavirTolerant(n = 167)
Odds Ratio(95% CI)
Pc
HLA-B*5701 14 (78%) 4 (2%) 117 (29-481) < 0.0001
HLA-DR7, HLA-DQ3
13 (72%) 6 (3%) 73 (20-268) < 0.0001
HLA-B*5701, HLA-DR7, HLA-DQ3
13 (72%) 0 (0%) 822 (43-15,675) < 0.0001
Caucasoids
Loci Cases Controls Odds Ratio
HLA-B57 36/65 (55%) 2/80 (3%) 23.6 (8.0-70.0)
HLA-B*5701 36/65 (55%) 1/80 (1%)
HLA-B*5701 and HLA-DR7 15/46 (33%) 1/69 (1%)
GSK group also, reported a significant association with CYP1A2 and TNFα SNPs
Screening for HLA-B*5701 Eliminates the Risk for Abacavir Hypersensitivity (Diagnosis Confirmed by Patch Testing)
Screened Control
Total Population Caucasians
Inci
denc
e of H
yper
sens
itivi
ty
Rea
ctio
n (%
)
0
1
2
3
4
5
2.7% 3.1%
Mallal et al. NEJM 358:568-579, 2008
0% 0%
Negative predictive value = 100% Positive predictive value = 48%
Carbamazepine and Phenytoin Immunotoxicity
• Established drugs used to treat epilepsy (CBZ also used for other disorders) • Associated with adverse reactions, many of which occur in the skin:
Mild maculopapular exanthema (16% of patients) Severe cutaneous reactions (Stevens-Johnson syndrome; SJS); 1:10,000 - 90% cases
occur within first 2 mo of therapy Toxic epidermal necrolysis (TEN, 40% fatal)
• Multiple studies have found a strong association between the HLA-B*1502 gene and SJS/TEN with CBZ use in Han Chinese
Chung et al, Nature 428:486, 2004 Man et al, Epilepsia 48:1015-18, 2007
Hung et al., Pharmacogenetics and Genomics 16:297-306, 2006
• A similar association between the HLA-B*1502 gene and SJS/TEN with DPH use in Han Chinese and Thai
Locharernkul et al, Epilepsia 49:2087-91, 2008 Man et al, Epilepsia 48:1015-18, 2007
Anti-Epileptic Drug Immunotoxicity
• FDA has relabeled Carbamazepine (Tegretol) and Phenytoin (Dilantin) to recommend HLA testing in high risk populations
Warning Serious Dermatological Reactions and HLA-B*1502 Allele
… Patients with ancestry in genetically at-risk populations should be screened for the presence of HLA-B*1502 prior to initiating treatment
with Tegretol. Patients testing positive for the allele should not be treated with Tegretol unless the benefit clearly outweighs the risk