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ABSTRACT: Abstract Background: Statins and coumarins are prescribed in combination on a regular basis. Some case reports suggested that statins might affect the dose requirements of coumarins. The aim of the study was to investigate whether acenocoumarol and phenprocoumon maintenance doses are influenced by statin use. Methods: The Pre-EU-PACT database was used, which contains information on 471 acenocoumarol and 624 phenprocoumon users. The influence of individual statins on the acenocoumarol and phenprocoumon maintenance dose was investigated by comparing unadjusted and adjusted mean differences of the maintenance dose between statin and non-statin users. Results: Lower adjusted acenocoumarol dose requirements were observed for patients using atorvastatin, simvastatin, pravastatin, and rosuvastatin. These patients had a reduction in adjusted mean acenocoumarol maintenance dose of 0.11, 0.29, 0.38, and 0.69 mg/day, respectively, compared with a mean adjusted dose of 2.60 mg/day for the patients not using a statin. There was no significant effect of statin use on unadjusted and adjusted phenprocoumon maintenance dose (p=0.23 and p=0.35, respectively). Conclusions: Mean acenocoumarol maintenance dosages were decreased when acenocoumarol is co-administered with the different statins. Statin use does not affect phenprocoumon maintenance doses significantly.
Drug metabolism and drug interactions 09/2012;
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ABSTRACT: BACKGROUND: Antiplatelet drug resistance is a well-known problem, causing recurrent cardiovascular events. Multiple genetic polymorphisms have been related to antiplatelet resistance by several large trials, however data from common clinical practice is limited. We examined the influence of previously described polymorphisms, related to aspirin and clopidogrel resistance, on treatment outcome in a real life unselected population of patients presenting with ST-segment elevation myocardial infarction (STEMI) treated with percutaneous coronary intervention. METHODS AND RESULTS: This cohort study consisted of 1327 patients with STEMI. Patients were treated according to a standardized guideline-based protocol. Nine polymorphisms, COX1 (-842A>G), P2Y(1) (893C>T), GPIa (807C>T), GPIIIa (PlA1/A2), CYP2C19 (*2, *3 and *17), ABCB1 (3435T>C) and PON1 (576A>G), were genotyped. During 1year of follow up the primary endpoint, a composite of cardiac death or recurrent myocardial infarction, was reached in 86 patients. The COX1 and CYP2C19*2 polymorphisms were associated with the primary endpoint, HR 2.55 (95% CI 1.48-4.40), P=0.001 and HR 2.03 (1.34-3.09) P=0.001, respectively. The combined analysis demonstrated a 2.5-fold increased risk for individuals with ≥2 risk alleles, P=6.9×10(-9). The association of COX1 was driven by mortality related events whereas that of CYP2C19*2 was mainly attributed to myocardial infarction and stent thrombosis. CONCLUSION: In this unselected, real life population of STEMI patient on dual-antiplatelet therapy, the polymorphisms COX1 -842A>G and CYP2C19*2 were determinants of thrombotic complications during follow-up. We show that in a clinical setting, testing for these polymorphisms could be of value in the identification of STEMI patients at risk for recurrent cardiovascular events.
International journal of cardiology 08/2012; · 7.08 Impact Factor
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ABSTRACT: The 5-hydroxytryptamine (5-HT3) receptor is a ligand-operated ion channel with five different receptor subunits (5-HT3A, B, C, D, and E) found in humans. Activation of 5-HT3 receptors influences various effects such as drug-induced emesis and causes behavioral problems such as anxiety, depression and cognitive disorders. To explore interethnic differences in the response to 5-HT3 antagonists, we studied haplotype frequencies in the gene encoding the 5-HT3B receptor in Asians and Caucasians.
Three single nucleotide polymorphisms (SNPs) of the 5-HT3B receptor gene, i.e., deletion AAG at the 5'-UTR position, 18792A>G at the intron position, and 46698G>A at the 3' near gene position, were selected and genotyped in 165 Indonesian cancer patients and 188 Caucasian healthy volunteers. Haplotypes were set with gPlink, whereas the differences in haplotype frequencies between Indonesians and Caucasians were compared using multivariate analysis.
The haplotype profiles based on the deletion AAG, 18792A>G and 46698G>A were AAGAA, AAGAG, AAGGG, and deletion AG in both Indonesians and Caucasians. The frequency of the AAGAG haplotype was 54.8% in Indonesians and 39.9% in Caucasians (p<0.05). The frequency of the AAGGG haplotype was 14.3% in Indonesians and 29.3% in Caucasians. Moreover, there were significant differences in the frequencies of haplotype pairs between Indonesians and Caucasians (p<0.001).
Indonesian cancer patients had significantly different AAGAG and AAGGG haplotype frequencies of the gene encoding the 5-HT3B receptor compared to healthy Caucasians. This finding could be useful for understanding interethnic differences in the response to drugs targeting the 5-HT3B receptor in cancer-treatment-related emesis.
The International journal of biological markers 11/2011; 27(1):34-8. · 1.48 Impact Factor
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ABSTRACT: The contribution of low-penetrance single nucleotide polymorphisms to methotrexate efficacy in rheumatoid arthritis (RA) is inconsistent between studies. We sought to elucidate architecture of methotrexate response in three cohorts of patients with RA treated with methotrexate.
Single nucleotide polymorphism frequencies in genes from folate, purine, and pyrimidine pathways were measured to develop a model of gene-gene interactions using multifactor dimensionality reduction in 439 patients who received methotrexate in the USA and The Netherlands. A third cohort of 530 patients with RA from Sweden was used to replicate the findings. Methotrexate efficacy was assessed using the European League Against Rheumatism criteria in the majority of patients.
Nonlinear patterns of gene-gene interactions between variants in aminoimidazole carboxamide ribonucleotide transformylase (C347G), reduced-folate carrier (G80A) and inosine-triphosphate pyrophosphatase (C94A) revealed a predisposing genetic attribute significantly associated with methotrexate response in the USA and Dutch cohorts [odds ratio (OR)=2.9, 95% confidence interval (CI): 1.9-4.2; P<0.001]. Although the finding was not replicated in the Swedish cohort (OR=0.9; 95% CI: 0.64-1.37; P=0.74) a multifactor dimensionality reduction analysis superimposing the predisposing genetic attribute with patient's age, sex, and anticitrullinated peptide antibodies positivity (ACPA) revealed a pattern of interaction significant in all three cohorts (OR=2.2, 95% CI: 1.6-2.9; P<0.01). The selective advantage toward response in the presence of the predisposing genetic attribute was lost in females and ACPA-positive patients, whereas older and male ACPA-negative patients tended to exhibit a greater likelihood of response in the absence of the predisposing genetic attribute.
Gene-gene interactions together with nongenetic attributes may contribute to methotrexate efficacy in RA.
Pharmacogenetics and Genomics 10/2011; 22(1):1-9. · 3.48 Impact Factor
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Clinical Cancer Research 09/2011; 17(17):5833-4; author reply 5835-6. · 7.74 Impact Factor
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ABSTRACT: Suboptimal treatment of chemotherapy-induced nausea and vomiting and unsatisfactory response to antiemetic drugs cause impairment of cancer patient's daily functioning. This study was aimed to investigate the association of selected germline polymorphisms with ondansetron and metoclopramide response in Indonesian cancer patients treated with highly emetogenic chemotherapy.
We enrolled 202 chemotherapy naïve patients treated with cisplatin at a dosage of ≥50 mg/m(2) as monotherapy or as combined chemotherapy. Ondansetron 8 mg and dexamethasone 8 mg intravenously were the standard antiemetic therapy for prevention of acute chemotherapy-induced nausea and vomiting. Metoclopramide 10 mg orally, three times per day as fixed prescription, was given until 5 days after chemotherapy to prevent delayed chemotherapy-induced nausea and vomiting. Primary and secondary outcomes were the occurrence of chemotherapy-induced nausea and vomiting in the acute and delayed phase. The following single-nucleotide polymorphisms were determined in ABCB1: rs1045642, rs2032582 and rs1128503; in 5-HT3B-R: rs45460698, rs4938058 and rs7943062; and in CYP2D6: rs16947 (CYP2D6 2), rs3892097 (CYP2D6 4) and rs1065852 (CYP2D6 10) using Taqman assays.
During the acute phase, 21.8 and 30.2% patients experienced Grade 3 and 4 nausea and vomiting, respectively, whereas 38.6% patients experienced nausea and/or vomiting in the delayed phase. Carriers of the CTG haplotype of the ABCB1 gene experienced Grade 3 and 4 chemotherapy-induced nausea and vomiting more often than other haplotypes in the delayed phase (P< 0.05). No associations were found with the 5-HT3B receptor haplotypes and CYP2D6-predicted phenotypes.
Our study shows that in Indonesian cancer patients treated with highly cytostatic emetogenic, carriership of the CTG haplotype of the ABCB1 gene is related to an increased risk of delayed chemotherapy-induced nausea and vomiting.
Japanese Journal of Clinical Oncology 08/2011; 41(10):1168-76. · 1.78 Impact Factor
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ABSTRACT: Pharmacogenetics is the search for heritable genetic polymorphisms that influence responses to drug therapy. The most important application of pharmacogenetics is to guide choosing agents with the greatest potential of efficacy and smallest risk of adverse drug reactions. Many studies focusing on drug-gene interactions have been published in recent years, some of which led to adaptation of FDA recommendations, indicating that we are on the verge of the clinical application of genetic information in drug therapy. This systematic review provides a comprehensive overview of the current knowledge on pharmacogenetics of all major drug classes currently used in the treatment of cardiovascular diseases.
European Heart Journal 07/2011; 33(2):165-75. · 10.48 Impact Factor
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ABSTRACT: Polymorphisms in CYP2C9 and VKORC1 influence patients' phenprocoumon (PHE) and acenocoumarol (ACE) dose requirements. To provide physicians with tools to estimate the patient's individual dose, we aimed to develop algorithms for PHE and ACE.
In two Dutch anticoagulation clinics, data on age, sex, height, weight, co-medication, coumarin derivative doses, and international normalized ratio values were obtained from 624 patients taking PHE and 471 taking ACE. Single nucleotide polymorphisms relevant to coumarin derivative dosing on the CYP2C9 and VKORC1 genes were determined. Using multiple linear regression, we developed genotype-guided and non-genotype-guided algorithms to predict the maintenance dose with patient characteristics and genetic information. In addition, loading doses were derived from the calculated maintenance doses. We performed external validation in an independent data set with 229 PHE and 168 ACE users. CYP2C9 and VKORC1 genotype, weight, height, sex, age, and amiodarone use contributed to the maintenance dose of PHE and ACE. The genotype-guided algorithms explained 55.9% (PHE) and 52.6% (ACE) of the variance of the maintenance dose, the non-genetic algorithms 17.3% (PHE) and 23.7% (ACE). Validation in an independent data set resulted in an explained variation of 59.4% (PHE) and 49.0% (ACE) for the genotype-guided algorithms and for 23.5% (PHE) and 17.8% (ACE) for the non-genotype-guided algorithms, without height and weight as parameters.
To our knowledge, these are the first genotype-guided loading and maintenance dose algorithms for PHE and ACE using large cohorts. The utility of these algorithms will be tested in randomized controlled trials.
European Heart Journal 06/2011; 32(15):1909-17. · 10.48 Impact Factor
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ABSTRACT: After the identification of type 2 diabetes mellitus (T2DM) risk alleles from genome-wide association studies, models have been developed to identify subjects at high risk to develop T2DM. We hypothesize that a panel of 20 repeatedly associated T2DM risk alleles influences response to sulfonylureas (SUs).
Two hundred and seven incident SU (tolbutamide, glibenclamide, glimepiride, gliclazide) users with T2DM were recruited from four primary care centers. A genetic risk score per patient was calculated based on the number of risk-alleles. With this score, patients were categorized into three predefined genetic risk groups. The effect of the genetic risk group on the achievement of stable SU dose, prescribed stable SU dose, and time to stable SU dose was analyzed.
Carriers of more than 17 T2DM risk alleles had a 1.7-fold reduced likelihood to achieve stable SU dose (P=0.044). No significant effect of the number of T2DM risk alleles on prescribed dose was found. Carriers of more than 17 T2DM risk alleles showed a marginally significant increased time to stable dose (hazard ratio: 0.81; 95% confidence interval, 0.75-1.01, P=0.058).
T2DM risk alleles are associated with response to SUs in primary care T2DM patients. This suggests that individualization of T2DM treatment according to genetic profile may be an opportunity to improve clinical outcome.
Pharmacogenetics and Genomics 05/2011; 21(8):461-8. · 3.48 Impact Factor
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ABSTRACT: The objective of this study was to identify genetic polymorphisms related to the pharmacokinetics and pharmacodynamics of sunitinib that are associated with a prolonged progression-free survival (PFS) and/or overall survival (OS) in patients with clear-cell metastatic renal cell cancer (mRCC) treated with sunitinib.
A retrospective multicenter pharmacogenetic association study was performed in 136 clear-cell mRCC patients treated with sunitinib. A total of 30 polymorphisms in 11 candidate genes, together with clinical characteristics were tested univariately for association with PFS as primary and OS as secondary outcome. Candidate variables with P < 0.1 were analyzed in a multivariate Cox regression model.
Multivariate analysis showed that PFS was significantly improved when an A-allele was present in CYP3A5 6986A/G [hazard ratio (HR), 0.27; P = 0.032], a CAT copy was absent in the NR1I3 haplotype (5719C/T, 7738A/C, 7837T/G; HR, 1.76; P = 0.017) and a TCG copy was present in the ABCB1 haplotype (3435C/T, 1236C/T, 2677G/T; HR, 0.52; P = 0.033). Carriers with a favorable genetic profile (n = 95) had an improved PFS and OS as compared with noncarriers (median PFS and OS: 13.1 versus 7.5 months and 19.9 versus 12.3 months). Next to the genetic variants, the Memorial Sloan-Kettering Cancer Center prognostic criteria were associated with PFS and OS (HR, 1.99 and 2.27; P < 0.001).
This exploratory study shows that genetic polymorphisms in three genes involved in sunitinib pharmacokinetics are associated with PFS in mRCC patients treated with this drug. These findings advocate prospective validation and further elucidation of these genetic determinants in relation to sunitinib exposure and efficacy.
Clinical Cancer Research 02/2011; 17(3):620-9. · 7.74 Impact Factor
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ABSTRACT: Sulfonylureas are mainly metabolized by the enzyme CYP2C9. Two allelic variants, CYP2C9*2 and CYP2C9*3, result in decreased metabolic capacity and have been associated with elevated sulfonylurea serum levels. However, most of the available data originates from pharmacokinetic analyses performed in healthy individuals. In this study, the effect of CYP2C9*2 and CYP2C9*3 alleles on prescribed dose and time-to-stable dose of sulfonylureas was investigated.
A group of 207 incident sulfonylurea users treated in four university affiliated primary care centers were identified. The effect of the CYP2C9*2 and CYP2C9*3 alleles on prescribed dose and time-to-stable dose was then assessed.
No significant effects of the CYP2C9*2 and CYP2C9*3 alleles were found. However, a trend towards a lower stable glimepiride dose for carriers of the CYP2C9*3 allele was observed.
Genotyping for the CYP2C9*2 and CYP2C9*3 alleles currently appears to have no clinical implications for dosing of sulfonylureas in primary care patients with Type 2 diabetes mellitus.
Pharmacogenomics 11/2010; 11(11):1517-23. · 3.97 Impact Factor
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ABSTRACT: Disappointing results from replicating pharmacogenetic association studies have prompted the search for novel statistical techniques to analyze the data, while taking into account the biological complexity underlying drug response. Two of these techniques--multifactor dimensionality reduction and classification and regression tree analysis--will probably be applied in increasing numbers of future pharmacogenetic studies. In this article, we describe the concepts underlying both techniques and illustrate their application in a recent pharmacogenetic study.
Pharmacogenomics 07/2010; 11(7):1011-7. · 3.97 Impact Factor
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Neeltje Steeghs,
Ron H J Mathijssen, Judith A M Wessels,
Anne-Joy de Graan,
Tahar van der Straaten,
Mariangela Mariani,
Bernard Laffranchi,
Silvia Comis,
Maja J A de Jonge,
Hans Gelderblom,
Henk-Jan Guchelaar
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ABSTRACT: Danusertib is a serine/threonine kinase inhibitor of multiple kinases, including aurora-A, B, and C. This explorative study aims to identify possible relationships between single nucleotide polymorphisms in genes coding for drug metabolizing enzymes and transporter proteins and clearance of danusertib, to clarify the interpatient variability in exposure. In addition, this study explores the relationship between target receptor polymorphisms and toxicity of danusertib.
For associations with clearance, 48 cancer patients treated in a phase I study were analyzed for ABCB1, ABCG2 and FMO3 polymorphisms. Association analyses between neutropenia and drug target receptors, including KDR, RET, FLT3, FLT4, AURKB and AURKA, were performed in 30 patients treated at recommended phase II dose-levels in three danusertib phase I or phase II trials.
No relationships between danusertib clearance and drug metabolizing enzymes and transporter protein polymorphisms were found. Only, for the one patient with FMO3 18281AA polymorphism, a significantly higher clearance was noticed, compared to patients carrying at least 1 wild type allele. No effect of target receptor genotypes or haplotypes on neutropenia was observed.
As we did not find any major correlations between pharmacogenetic variability in the studied enzymes and transporters and pharmacokinetics nor toxicity, it is unlikely that danusertib is highly susceptible for pharmacogenetic variation. Therefore, no dosing alterations of danusertib are expected in the future, based on the polymorphisms studied. However, the relationship between FMO3 polymorphisms and clearance of danusertib warrants further research, as we could study only a small group of patients.
Investigational New Drugs 02/2010; 29(5):953-62. · 3.36 Impact Factor
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Nielka P van Erp,
Karel Eechoute,
Astrid A van der Veldt,
John B Haanen,
An K L Reyners,
Ron H J Mathijssen,
Epie Boven,
Tahar van der Straaten,
Renée F Baak-Pablo, Judith A M Wessels,
Henk-Jan Guchelaar,
Hans Gelderblom
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ABSTRACT: To identify genetic markers in the pharmacokinetic and pharmacodynamic pathways of sunitinib that predispose for development of toxicities: thrombocytopenia, leukopenia, mucosal inflammation, hand-foot syndrome, and any toxicity according to National Cancer Institute Common Toxicity Criteria higher than grade 2.
A multicenter pharmacogenetic association study was performed in 219 patients treated with single-agent sunitinib. A total of 31 single nucleotide polymorphisms in 12 candidate genes, together with several nongenetic variants, were analyzed for a possible association with toxicity. In addition, genetic haplotypes were developed and related to toxicity.
The risk for leukopenia was increased when the G allele in CYP1A1 2455A/G (odds ratio [OR], 6.24; P = .029) or the T allele in FLT3 738T/C (OR, 2.8; P = .008) were present or CAG in the NR1I3 (5719C/T, 7738A/C, 7837T/G) haplotype (OR, 1.74; P = .041) was absent. Any toxicity higher than grade 2 prevalence was increased when the T allele of vascular endothelial growth factor receptor 2 1191C/T (OR, 2.39; P = .046) or a copy of TT in the ABCG2 (-15622C/T, 1143C/T) haplotype (OR, 2.63; P = .016) were present. The risk for mucosal inflammation was increased in the presence of the G allele in CYP1A1 2455A/G (OR, 4.03; P = .021) and the prevalence of hand-foot syndrome was increased when a copy of TTT in the ABCB1 (3435C/T, 1236C/T, 2677G/T) haplotype (OR, 2.56; P = .035) was present.
This exploratory study suggests that polymorphisms in specific genes encoding for metabolizing enzymes, efflux transporters, and drug targets are associated with sunitinib-related toxicities. A better understanding of genetic and nongenetic determinants of sunitinib toxicity should help to optimize drug treatment in individual patients.
Journal of Clinical Oncology 09/2009; 27(26):4406-12. · 18.37 Impact Factor
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Rheumatology (Oxford, England) 08/2009; 48(9):1176-7; author reply 1177. · 4.24 Impact Factor
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ABSTRACT: Pharmacogenetics aims to identify genetic variation to predict drug response or to establish an individual optimal dose. Classically, explorative pharmacogenetic studies are performed concerning a limited number of SNPs in genes encoding enzymes involved in the drug's metabolic route. Alternatively, potential markers across the genome are elucidated by the performance of the hypothesis-free genome-wide method. Besides their successful use, both methods provide substantial disadvantages. A solution toward these difficulties is the pathway pharmacogenetic approach, which considers variability in the entire pathway without restricting the analysis to only one gene. In this article, we present selection criteria for this approach to effectively explore potential associating SNPs. As an illustration, the method is applied to the biological adalimumab as a case study.
Drug discovery today 07/2009; 14(17-18):837-44. · 6.63 Impact Factor
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ABSTRACT: To develop a clinical pharmacogenetic model to predict the efficacy of methotrexate (MTX) in rheumatoid arthritis (RA).
Two hundred five patients with newly diagnosed RA and active disease were treated with MTX (initiated at a dosage of 7.5 mg/week and increased to 15 mg/week after 4 weeks) and folic acid (1 mg/day). If the Disease Activity Score (DAS) was >2.4 at 3 months, the dosage of MTX was increased up to 25 mg/week. Twenty-four baseline variables possibly influencing disease state and drug response were selected. In addition, 17 polymorphisms in 13 genes related to the MTX mechanism of action, purine and pyrimidine synthesis, were determined. Factors were compared between responders (defined as patients with a DAS < or = 2.4 at 6 months) and nonresponders. In case of differences, a stepwise selection procedure identified the predictors for response. A clinical score was designed by simplifying regression coefficients of the independent variables. Cutoff levels were chosen based on the clinical score, and positive and negative response rates were calculated. An evaluation of the model was performed in a second group of patients.
The model for MTX efficacy consisted of sex, rheumatoid factor and smoking status, the DAS, and 4 polymorphisms in the AMPD1, ATIC, ITPA, and MTHFD1 genes. This prediction model was transformed into a scoring system ranging from 0 to 11.5. Scores of < or = 3.5 had a true positive response rate of 95%. Scores of > or = 6 had a true negative response rate of 86%. Sixty percent of the patients were categorized as either responders or nonresponders, whereas 32% of the patients were categorized using a nongenetic model. Evaluation of the model in 38 additional patients with RA supported the results.
This study established a model for predicting the efficacy of MTX in patients with RA. This pharmacogenetic model may lead to better-tailored initial treatment decisions in patients with RA.
Arthritis & Rheumatism 07/2007; 56(6):1765-75. · 7.87 Impact Factor
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ABSTRACT: The enzyme folylpoly-gamma-glutamase synthethase (FPGS) plays an important role in the intracellular polyglutamation of the disease-modifying antirheumatic drug methotrexate (MTX) and the length of the polyglutamated MTX product correlates with the time that MTX resides in the cell. The glutamates are released from MTX by activity of the enzyme gamma-glutamyl-hydrolase (GGH), thereby allowing the efflux of MTX. GGH 452C>T has been associated with decreased catalytic activity and higher accumulation of long-chain MTX-polyglutamate. However, single nucleotide polymorphisms (SNPs) in FPGS and GGH genes have not yet been explored for association with MTX efficacy or toxicity. We selected for SNPs with frequencies higher than 10% or, in case of FPGS 114G>A, causing an amino acid change with no known frequencies. In this study, frequencies of two SNPs in FPGS (1994A>G and 114G>A, rs10106 and rs10760502, respectively) and GGH genes (452C>T and 16T>C, rs11545078 and rs1800909, respectively), were determined using a newly developed method in rheumatoid arthritis patients (n = 352) and in a group of healthy controls (n = 360). Next, the SNPs were associated with response to MTX in rheumatoid arthritis patients treated with MTX monotherapy. In rheumatoid arthritis patients, allele frequencies of FPGS 1994A>G were 0.534 (A) and 0.466 (G), and for FPGS 114G>A 0.714 (G) and 0.286 (A). Allele frequencies of GGH 16T>C were 0.737 (T) and 0.263 (C) and for GGH 452C>T 0.912 (C) and 0.088 (T). No significant differences in allele frequencies between rheumatoid arthritis patients and healthy controls were found. In addition, the SNPs were not associated with good clinical response to MTX. Only patients with the GGH 16C-allele and one or no copies of the GGH 452C-16T haplotype were associated with good clinical improvement at 3 months upon treatment with MTX. No associations with efficacy at 6 months and MTX-induced toxicity were found. Therefore we conclude that despite the positive association of the GGH 16C-allele and one or no copies of the GGH 452C-16T haplotype with good clinical improvement at 3 months upon treatment with MTX, the tested SNPs in GGH and FPGS genes are suggested not to be clinically important for MTX treatment outcome.
Pharmacogenomics 03/2007; 8(2):141-50. · 3.97 Impact Factor
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ABSTRACT: Rheumatoid arthritis patients exhibit a considerable interindividual variability in response to drug treatment. Although many disease-related and demographic factors have been studied to predict treatment outcome, the effective disease-modifying antirheumatic drug (DMARD) therapy is not yet allocated based on factors that predict efficacy. Individual genetic characteristics are thought to play an important role in treatment response; therefore, current research aims to identify these genetic predictors for clinical response. Pharmacogenetic studies are beginning to provide results, which suggests that personalized treatment maximization of DMARD efficacy and minimization of adverse drug reactions are feasible.
Current Rheumatology Reports 11/2006; 8(5):369-77.
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Judith A M Wessels,
Wouter M Kooloos,
Robert De Jonge,
Jeska K De Vries-Bouwstra,
Cornelia F Allaart,
Annelies Linssen,
Gerard Collee,
Peter De Sonnaville,
Jan Lindemans,
Tom W J Huizinga,
Henk-Jan Guchelaar
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ABSTRACT: Among patients with rheumatoid arthritis (RA), there is a high degree of interindividual variability in the degree of response to methotrexate (MTX) treatment. This study was undertaken to explore polymorphisms in genes contributing to antiinflammatory adenosine release as novel predictors of MTX treatment outcome.
In 205 patients with newly diagnosed RA, 5 polymorphisms in 5 genes coding for enzymes related to the release of adenosine were analyzed. All patients received standardized MTX treatment (up to 25 mg per week orally), combined with folic acid. MTX efficacy was evaluated by the Disease Activity Score (DAS) and compared among genotypes. The association between MTX-related adverse events and genotype was also assessed. The following polymorphisms were determined: AMPD1 34C>T, ATIC 347C>G, ITPA 94C>A, MTR 2756A>G, and MTRR 66A>G. When significant differences were found by chi-square analysis, odds ratios (ORs) and 95% confidence intervals were calculated.
Patients carrying the AMPD1 34T allele, ATIC 347CC, or ITPA 94CC were more likely to have a good clinical response, as defined by a DAS of < or =2.4 (OR [95% confidence interval] 2.1 [1.0-4.5], 2.5 [1.3-4.7], and 2.7 [1.1-8.1], respectively). The likelihood of a good clinical response was increased if patients possessed all 3 favorable genotypes (OR 27.8 [95% confidence interval 3.2-250]). Regarding toxicity, only ATIC G allele carriers experienced a greater frequency of adverse events (OR 2.0 [95% confidence interval 1.1-3.7]).
Polymorphisms in the AMPD1, ATIC, and ITPA genes are associated with good clinical response to MTX treatment. These findings indicate that genotyping may help in the identification of patients who will benefit most from MTX treatment and may assist clinicians in making treatment decisions regarding patients with recent-onset RA.
Arthritis & Rheumatism 09/2006; 54(9):2830-9. · 7.87 Impact Factor
