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The Right Drug in the Right Dose
for the Right Patient-Personalized Medicine Comes
True
Hong-Hao Zhou
Institute of Clinical PharmacologyPharmacogenetics Research Institute
Central South UniversityChangsha, Hunan, China
International Conference on Pharmacovigilence and Drug SafetyNov 30, 2010. Changsha
PGt and PGx
Pharmacogenomics (PGx) :
−The study of variations of DNA and RNA characteristics as related to drug response.
Pharmacogenetics (PGt) :
−The study of variations in DNA sequence as related to drug response. A subset of pharmacogenomics (PGx).
= Pharmacology + Genetics. Purpose: Genetic predisposition to drug effect Individualized pharmacotherapy The right drug at right dose for the right people Revolutionize medicine
Variability within populations (intra-ethnic variations) greater than differences between populations (Inter-ethnic differences)
Nu
mb
er
of
Su
bje
cts
Plasma Concentration
Population AIncreased Risk
Therapeutic Failure
Population BIncreased Risk
Toxicity
Therapeutic Window
Inter-ethnic differences
Intra-ethnic differences
Inter-ethnic/individual Variations
Ageelderlychildrenneonates
Sex
Height/Body Weight
ConcomitantDisease
Disease Process
Factors Determining Interindividual variations in Drug Response
Organ FunctionLiver, Kidney, Cardiac
Environmental Factors
diet / smoking / comedications
Interindividual Variability in
Drug Response
Genetic polymorphisms
Heritability of Drug Metabolism
Genes Environment
•0% •10% •20% •30% •40% •50%•60% •70% •80% •90%•100%
Diabetes mellitus LO
Breast cancer
MI (males)
Essential hypertension
Coronary artery disease
Diabetes mellitus EO
Diphenylhydantoin
Lithium
Sodium salicylate
Amobarbital
Dicumarol
Aspirin
Antipyrine
Phenylbutazone
Single nucleotide polymorphisms
C A G C C C A A C T5’ 3’
CYP2C9 gene
430C
CYP2C9*1CYP2C9*2
T
Normal enzyme
No enzymatic activity
9 Exon 55kb 490 AA
10
q24.2
Ch
rom
osom
e 1
0
A Key to Human Individuality
A key to interindividual variations in drug metabolism and response
T (Arg144Cyp)
1975 : Debrisoquin polymorphism
1985 : PCR application
1990 : CYP2D6 alleles
X
XX
Nortriptylline 500mg 100-450mg 10-20mg ( normal dose )
Debrisoquin/4-OH-debrisoquin
Su
bje
ct
nu
mb
er
CYP2D6 genotype/phenotype
Pharmacogenetic Principles
Pharmacodynamics Pharmacokinetics
Variability in drugefficacy and toxicity
Genome
Gene variations (genetic polymorphism)
Drug metabolizing enzymes
Drug transportersDrug targets
Gene Name Allele Associated phenotype
CYP2C19 Cytochrome p450 2C19
*2 ,*3 Extensive metabolizers have decreased response to omeprazole for Helicobacter pylori infection
CYP2C9 Cytochrome p450 2C9
*2 ,*3 Non-wt alleles associated with reduced warfarin daily dose requirement
CYP2D6 Cytochrome p450 2D6
Many inactive alleles, such as *3, *4 and *5
Non-wt alleles associated with susceptibility to tardive dyskinesia in response to antipsychotics
NAT2 N-acetyltransferase2
Slow acetylator alleles include NAT2 *5B,NAT2 *6A,NAT2 *7A or B, NAT2 *14A or B
Slow-acetylator status of NAT2 increased risk of antituberculosis drug-induced hepatotoxicity
TPMT Thiopurine methytransferase
TPMT *2,TPMT *3A,TPMT *3C
Homozygotes for non-wt alleles at high risk of severe haematopoietic toxicity after thiopurine treatment ;heterozygotes intermediate risk of dose-limiting toxicity
Genetic variants of DME found to be significantly associated with drug response in at least two
studies
Goldstein DB, et al. Nature Reviews 2003;4: 937-947
Nature Reviews 2003;4:937-947
Gene Name Allele Associated phenotype
GSTM1 Glutathione S-transferase M1
GSTM1-null Null carriers have increased survival time and a progression-free interval following paclitaxel and cisplatinum treatment for ovarian cancer, decreased risk of relapse for cytotoxic therapy for leukaemia
GSTM3 Glutathione S-transferase M3(brain)
GSTM3 *A/ GSTM3 *B
GSTM1 *0/GSTM3 *A haplotype less likely to show a beneficial response to D-penicillaminein rheumatoid arthritis, *3A has increased risk of cisplatin ototoxicity
GSTP1 Glutathione S-transferase-π
lle105Val Val associated with increased survival for 5-fluorouracil and oxaloplatin therapy for colorectal cancer, and following therapy for multiple myeloma
GSTT1 Glutathione S-transferase-η1
GSTT1-null(homozygote frequent ;deletion)
GSTT1 associated with susceptibility to tacrine hepatotoxicity and troglitazone hepatotoxicity in combination with GSTM1-null allele
Genetic variants of DME found to be significantly associated with drug response in at least two
studies
Goldstein DB, et al. Nature Reviews 2003;4: 937-947
Nature Reviews 2003;4:937-947
Gene Name Allele Associated phenotype
DPYD Dihydropyrimidine dehydrogenase (DPD)
DPYD *2A(IVS14+1G>A)
*2A associated with severe toxicity and fatal outcomes for 5-fluorouracil treatment
UGT1A1 UDP-glucurono-syltransferase 1A1
UGT1A1 *28 *28 associated with increased chance of developing diarrhoea and leukopaenia during irinotecan therapy
COMT Catechol O-methyltransferase
Val108/135Met Met associated with higher daily neuroleptic dosage and poor response
BCHE ButyryIcholinesterase Several mutations including Asp70Gly (dibucaine or atypical variant) and Ala539Thr (K allele)
Variants associated with adverse effects in response to succinylcholine
Genetic variants of DME found to be significantly associated with drug response in at least two
studies
Genotype, Risk and Events
0.1
1
10
100
1000
10000
100000
1E-10 1E-09 1E-08 1E-07 0.000001 0.00001 0.0001 0.001 0.01 0.1 1
Ind
ivid
ual
ris
k
5000 events
Genotype frequency
Ind
ivid
ual ri
sk
Carbamazepine Induced SJS
Carbamazepine
Epileptic seizures , neuralgia, and other neural diseases
ADR: SJS/TEN
HLA-B*1502
High fever, malaise, blistering, lesions. skin
detachments, mortality 30~40%
Stevens-Johnson Syndrome (SJS) and Toxic Epidermal Necrolysis (TEN)
Country/Region
HLA-B*1502 in normal population (%)
HLA-B*1502 in CBZ-SJS/TEN
(%)
USA 0% Caucasian 4.9% Asian
Europe Rare 1-2; Ireland 0
Taiwan 8.6% Han; 5.7-8.6Thai Han 100
Hong Kong
14.5 Han 100
Singapore 5.7% Chinese; 12% Malay; 8.3% Indian
Malaysia 15.7% Malay; 5.7% Chinese; 0% Indian; 1% Maynmese
Malay 75 Indian 100
Thailand 8.5-27.5% 83.3
Indonesia 16%
India 1.9% Mumbai; 6%Kandesh; 4% Bhil; 1%Punjab
Japan 0.2%
Korea 0.4%
Neurology Asian, 2008; 13, 15-21
HLA-B*1502 And Carmazepine Induced SJS/TEN In Asian
Prospective evaluation of genotype directed Metoprolol monotherapy in hypertension
Metoprolol:
DME: CYP2D6; CYP2D6*10-low activity
Target: 1-receptor; Gly389Gly-low sensitivity
Low activity DME + High sensitivity target 12.5mg
Low activity DME + High/medium sensitivity targetMedium activity DME +medium sensitivity targetLow activity DME + Low sensitivity target
High activity DME + Low sensitivity target 50mg
25mg
HP Pts
n=422
CYP2D6*1*10+Arg389ArgCYP2D6*10*10+Arg389Arg/Gly389ArgCYP2D6*1*10+Arg389ArgCYP2D6*10*10+Arg389Arg/Gly389Arg
CYP2D6*1*1+Arg389Arg/Gly389ArgCYP2D6*1*10+Gly389Arg CYP2D6*10*10+Gly389Gly
CYP2D6*1*1+Arg389Arg/Gly389ArgCYP2D6*1*10+Gly389Arg CYP2D6*10*10+Gly389Gly
CYP2D6*1*1/CYP2D6*1*10+Gly389GlyCYP2D6*1*1/CYP2D6*1*10+Gly389Gly
Ran
dom
ized
Ran
dom
ized
CYP2D6*1*10+Arg389ArgCYP2D6*10*10+Arg389Arg/Gly389ArgCYP2D6*1*10+Arg389ArgCYP2D6*10*10+Arg389Arg/Gly389Arg
CYP2D6*1*1+Arg389Arg/Gly389ArgCYP2D6*1*10+Gly389Arg CYP2D6*10*10+Gly389Gly
CYP2D6*1*1+Arg389Arg/Gly389ArgCYP2D6*1*10+Gly389Arg CYP2D6*10*10+Gly389Gly
CYP2D6*1*1/CYP2D6*1*10+Gly389GlyCYP2D6*1*1/CYP2D6*1*10+Gly389Gly
25mg, bid 12w
125mg, bid 12w
25mg, bid 12w
50mg, bid 12w
N=14
100
104
N=14
91
104
Prospective evaluation of genotype directed Metoprolol monotherapy in hypertension
Con
ven
tion
al
Con
ven
tion
al
Pers
on
alize
dP
ers
on
alize
d
A, Non-genotype directed therapy
B, Genotype directed therapy
0
2
4
6
8
10
12
14
16
18
20
⊿ SBP ⊿ DBP
Blo
od
pre
ssu
re d
ecre
ase (
mm
H
g)
P= 0.118
P = 0.009
A1+A3
B1+B3
0
2
4
6
8
10
12
14
16
18
⊿SBP ⊿DBPB
lood
pre
ssu
re d
ecre
ase (
mm
H
g)
P = 0.027
P = 0.001
Liu J and Zhou HH,2008
Prospective evaluation of genotype directed Metoprolol monotherapy in hypertension
Personalized Medicine
PatientPatient Drug ADrug A ADRADR
Drug BDrug B
Evidence Based Medicine
PatientPatient DiagnosticDiagnosticTestTest
ADRADR
TargetedTargetedDrugDrug
Personalised Medicine
Health System
Evidence Based
Medicine
Personalized Medicine
Efficacy vary-wasted resources and timeAdverse effects are common and unpredictable
Direct treatment in an individualized mannerDetermine who to treat at all
Benefits from personalized medicine
Patients Reduced uncertainty, improved care and less
exposure to ineffective treatments Physicians
Better options and outcomes for patients Regulators
Increased safety and efficacy Payers
More efficient use of our healthcare dollar Policy-makers
More cost-effective healthcare Industry
Innovative products that offer a clear improvement for patients
Because we know more specific information, we can…
Diagnose more precisely Provide more effective treatment.
Select specific treatment that best fits disease
Target the medication to the disorder.
Avoid adverse drug reactions. Avoid delay from false starts.
Predict risk before symptoms occur
Provide earlier treatment. Take preventive action.
Manage disease more effectively
Eliminate unnecessary treatment.
Provide better timing. Adjust treatment as disease
changes.
Service for Tailored Therapy in CSU
To translate PGx/PGt knowledge to the treatment of patients, a Tailored Therapy Center was founded in October, 2004 at Central South University
The Center is pioneering the translating PGx/PGt to personalized medicine and use state-of-the-art research facilities to perform advanced testing of a patient's genotype to determine which medications are effective against it, and what dosage levels are needed to treat it, then devise a treatment regimen that is unique to each individual patient.
The goal of this tailored approach
Don’t treat non-responders (patient stratification)
Don’t treat those most likely to be affected by toxicity (patient stratification)
Adjust dose to maximize efficacy while avoiding toxicity for each individual patient (individualized therapy)
- To deliver the most effective therapy, while minimizing possible side effects related to drug dosing.
Personalized Medicine in CSU
Oct. 2004: Consultant Center
Feb, 2006: Genetic Test Center
Sep. 2010 , Xiang Ya Medical
Laboratory, Central South
University
Oct., 2004 Consultant Center for Tailored Therapy
Personalized Medicine in CSU
PGt and PGx Genetic Test Center
Xiangya Medical Laboratory
Feb., 2006
Sep., 2010
Clinical Service for Personalized Medicine in CSU
Xiangya Medical Lab Mutant Alleles
DME Transporters Receptors
Large dose
Modulation dose
Reduce dose or Change drug
Clinical Diagnosis
Hospital Pts
Genetic Diagnosis
Clinical Service for Personalized Medicine in CSU
Commonly prescribed
Narrow therapeutic window
Great hazard if outside of therapeutic window
Significant variability in individual response to standard dosages
No good alternative
Perfect Drug for PGx Intervention
Gene tested Allele tested Clinical relevance
K-Ras( EGRF signal protein Condons 12/13 Cetuximab, panitumumab efficacy prediction
CYP3A5 CYP3A5*3 Tacrolimus initiative dose prediction
GSTP1 (Glutathione-S-transferase) GSTP1*B(A342G) Cisplatin, Oxaliplatin toxicity & efficacy prediction
UGT1A1 (glucuronyltransferase) UGT1A1*28 Irinotecan toxicity prediction
UGT1A1*6
TYMS (thymidylate synthase) TYMS_2R/3R 5-Fluorouracil toxicity and efficacy prediction
CDA (cytidine deaminase) CDA*3 Gemcitabine myelosuppression toxicity prediction
TPMT (thiopurine methyltransferase)
TPMT*3C Mercaptopurine, azathioprine toxicity and efficacy prediction
EGFR (epidermal growth factor R) EGFR_I/D Gefitinib, erlotinib efficacy prediction
HLA (human leukocyte antigen) HLA-B* C 1502 /A Carbamazepine skin-mucosa toxicity prediction
CYP2D6 CYP2D6*10 Β1 antagonists efficacy and dose predictionβ1-R β1 (adrenoceptor) β1R_Gly389Arg
CYP2C9 VKORC1_1639G>A --AT1 antagonists efficacy and dose prediction
Warfarin initiative dose and toxicity prediction
VKORC1 CYP2C9*3
ACE (angiotensin-convertion E) ACE_I/D ACEI efficacy and dose prediction
CYP2C19 CYP2C19*2 Clopidogrel resistance prediction
CYP2C19*3
Genetic tests for personalized therapy in CSU
Gene tested Allele tested Clinical relevance
ALDH2 (acetaldehyde dehydrogenase) exon 12(G>A)Nitroglycerol efficacy prediction (CAD)
CYP1B1 CYP1B1*3Paclitaxel efficacy prediction (breast cancer)
MDR1 (multidrug resistance gene)
MDR1-G2677T/A Paclitaxel 、 Ciclosporin efficacy
prediction (ovarian cancer, liver and kidney transplantation)
MDR1-CA3435T
MDR1-T1236C
MTHFR (tetrahydrofolic acidreductase) MTHFR C677T
5-FU toxicity prediction (ovarian cancer), efficacy prediction (gastric cancer)
Methotrexate toxicity prediction
DPYD (dihydropyrimidine dehydrogenase) DPYD*2A
5-Fluorouracil toxicity prediciton (digestive tract Cancer)
Capecitabine toxicity prediction (Recurrent breast cancer)
TYMS (thymidylate synthase) TYMS_2R/3R5-FU, raltitrexed, pemetrexed, nolatrexed toxicity and efficacy prediction
XRCC1 (X-ray repair cross-complementing group 1)
XRCC1(Ar399Glplatinums : etoposide efficacy prediction
CYP2D6 CYP2D6*10Tamoxifen efficacy prediction
SULT1A1 (Sulfotransferase 1A1) SULT1A1*2
GSTA1 (glutathione S-transferase A1) GSTA1*BCyclophosphamide efficacy prediction
SLCO1B1 (Organic anion transport protein 1B1)
Multiple Irinotecan toxicity prediction
Genetic tests for personalized therapy in CSU
Metohods to be used
Direct sequencing (“Gold standard”Beckman, Genetic Analysis SystemFor 400-600bp
PCR/RFLP Low throughput; Common used
Allele-specific PCRFor specific gene allele; Rarely used
PyrosequencingMedium throughput For 20-40bp
Hyper throughputGene chipsllumina
Male , 56 yr , hypertension, school teacher
Metoprolol 20mg bid; blood pressure and sympathetic nervous excitation symptoms could not be controlled
Genetic test: 1-receptor Gly389Gly
Recommendation : increase metoprolol dose to 180%
40mg bid; blood pressure and sympathetic nervous excitation symptoms could not be controlled
Examples: Case 1
Male, 26 yr, anxiety disorders Prescription: buspirone and Buspar
Genetic test: 2C9: EM, 2C19:EM, 2D6:IM
Recommendation: using lower initial dose
Examples: Case 2
Male, 64 yr. colorectal cancer
Prescription: Cetuximab
Genetic test: K-RAS mutations in codons 12 and 13
Recommendation: priscribe alternative medicine
Examples: Case 3
Chinese Pharmacogenomics Network
Commonly prescribed
Narrow therapeutic window
Great hazard if outside of therapeutic window
Significant variability in individual response to standard dosages
No good alternative
The Perfect Drug for PGx Intervention
Ministry of Science and Technology Pharmacogenomics Innovative Technology
Service Platform
Pre-clinical Pharmacokinetics Technology Platform
Natural Medical Products Screen and Safety Evaluation Pharmacogenomics Technology Platform
Clinical Trial and Genetic Variation Related Drug Safety Evaluation Technology Platform
Personalized Therapy Genetic Diagnostic Technology Development and Clinical Application Platform
Major diseases Genome-Wide Association Studies and Pharmacogenomics Technology Platform
Pharmacogenomics Innovative Technology
Service Platform
Purpose• Promote the integration of genetic information
into public health decision making process
• Enhance the understanding of pharmacogenetics in developing world
• Provide guidelines for medication prioritization for individual countries, using pharmacogenetic information
• Help build local infrastructure for future pharmacogenetic research studies
• 104 PGENI countries, • representing 78% of world population
104 PGENI countries; 78% of world population
PGENI International Centers
Traditional Chinese Medicine (TCM)
TCM can be toxic and numerous examples of liver, kidney and other organ damage are on record
TCM are not to the same extend submitted to stringent regulation and control
TCM can be contaminated or adulterated with prescription drugs
42
Evolution of the Essential Drug List in China
3000-
2500-
2000-
1500-
1000-
500-
0-1981
edition1996
edition1998
edition2000
edition2002
edition
Western medicine TCM
280
Data from Sun X, et al; 2004
699740
770
759
18121570
2019
1242
Necessity of Necessity of safety monitor for TCM monitor for TCM
Limited knowledge about the Limited knowledge about the
ingredients ingredients
Limited knowledge about their effects Limited knowledge about their effects
Often a lack of stringent quality Often a lack of stringent quality
control control
The heterogenous nature of herbal The heterogenous nature of herbal
medicinesmedicines
Reporting of ADR’s caused byReporting of ADR’s caused by TCM TCM
ADR’s caused by TCM are unrecognized ADR’s caused by TCM are unrecognized
The safety of TCM is overestimatedThe safety of TCM is overestimated
Sometimes ADR’s are misconstrued as Sometimes ADR’s are misconstrued as part of the healing actionpart of the healing action
TCM practitioners are less likely to report TCM practitioners are less likely to report
Patients who resort to TCM are more Patients who resort to TCM are more likely to believe unscientific claims likely to believe unscientific claims
Patients who resort to TCM are less likely Patients who resort to TCM are less likely to report what they sufferedto report what they suffered
There is a need for greater awareness that a need for greater awareness that ADRs due to a conventional drug therapy in ADRs due to a conventional drug therapy in China, might be due toChina, might be due to
− TCMTCM
− TCM-western medicine interaction.TCM-western medicine interaction.
The educating of doctors, pharmacists, he educating of doctors, pharmacists, industry and patients about drug safety and industry and patients about drug safety and the importance of PGt and PGx can certainly the importance of PGt and PGx can certainly be listed among the greatest challenges.be listed among the greatest challenges.
The genetic polymorphism of DME may The genetic polymorphism of DME may influence the individual variations in ADR of influence the individual variations in ADR of TCM and TCM-drug interactions.TCM and TCM-drug interactions.
Challenge for Personalized Medicine in Avoiding of TCM induced ADRs
Conclusions Over the last 3 decades, my institute has
been vast interest in and focus on the PGt/PGx research and clinical application aimed to personalized medicine.
There is general agreement that utilizing genome technology may assess individual risk and ensure the delivery of the “right drug, right dose, for the right patients”.
However, there’s no doubt that personalized medicine is at an early stage. We should avoid overheated initial expectations.
We need more clinical trials at multiple centers in large numbers of patients.
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