Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:2.1.1.67 (thiopurine methyltransferase)
 551 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The genetic polymorphism of the thiopurine S-methyltransferase, TPMT, comprises at least 21 alleles causing three distinct drug metabolism phenotypes termed normal/high, intermediate, and deficient methylators. In consequence, adverse drug reactions may occur if standard doses of thiopurines are applied routinely. Genetic prediction of the methylator phenotype as a basis for dose selection requires the extensive knowledge of single nucleotide polymorphisms occurring naturally in the population. Here we describe three novel missense variants in the TPMT gene which were associated with an intermediate red blood cell TPMT activity in three Caucasians. The following alleles were designated: TPMT*20 (c.712A>G), *21 (c.205C>G), and *22 (c.488G>C). No further genetic variations in remaining coding regions as well as the 5'flanking region of TPMT were identified. These sequence variants are present in highly conserved nucleotide positions of the TPMT gene throughout various mammalian species and in zebra fish, and are predicted to be intolerant when the functional consequences of variations were analyzed using SIFT (Sorting Intolerant From Tolerant) algorithm. In Caucasians the occurrence of these genetic variants appears to be extremely rare since none of these alleles were identified in a randomly selected control population of 1048 individuals.
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PMID:Three novel thiopurine S-methyltransferase allelic variants (TPMT*20, *21, *22) - association with decreased enzyme function. 1691 10

In this study, the entire coding sequence and the exon-intron junctions of the thiopurine S-methyltransferase (TPMT) gene from 200 Japanese individuals were screened for mutation. Three novel single nucleotide polymorphisms (SNPs) were identified-106G>A in exon 3 (Gly36Ser, *20 allele), 967A>G in 3'-untranslated region, and -87C>T in intron 8. The allele frequencies were 0.003 for 106G>A, 0.003 for 967A>G, and 0.010 for IVS8 -87C>T. In addition, the three known SNPs, 474T>C (Ile158Ile), 719A>G (Tyr240Cys, *3C allele), and IVS4 +35C>T were detected at frequencies of 0.299, 0.010, and 0.421, respectively.
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PMID:Three novel single nucleotide polymorphisms of the human thiopurine S-methyltransferase gene in Japanese individuals. 1694 61

Polymorphisms in drug-metabolizing genes may lead to the production of dysfunctional proteins and consequently affect therapeutic efficacy and toxicity of drugs. Different frequencies of polymorphic alleles among the races have been postulated to account for the observed ethnic variations in drug responses. In the current study, we aimed to estimate the frequencies of 14 polymorphisms in eight genes (TPMT, NQO1, MTHFR, GSTP1, CYP1A1, CYP2D6, ABCB1, and SLC19A1) in the Singapore multiracial populations by screening 371 cord blood samples from healthy newborns. To improve genotyping efficacy, we designed an oligonucleotide array based on the principle of allele-specific primer extension (AsPEX) that was capable of detecting the 14 polymorphisms simultaneously. Cross-validation using conventional polymerase chain reaction-restriction fragment-length polymorphism (PCR-RFLP) assays demonstrated 99% concordant results. Measurements on the fluorescent intensity displayed clear distinctions among different genotypes. Statistical analyses showed significantly different allele distributions in several genes among the three races, namely Chinese, Malays, and Indians. Comparing the allelic frequencies in Chinese with previous studies in Caucasian populations, NQO1 609C>T and SLC19A1 80G>A were distinctly different, whereas close similarity was observed for MTHFR 677C>T. We have demonstrated an array-based methodology for rapid multiplex detection of genetic polymorphisms. The allelic frequencies reported in this study may have important therapeutic and prognostic implications in the clinical use of relevant drugs.
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PMID:Genotyping of eight polymorphic genes encoding drug-metabolizing enzymes and transporters using a customized oligonucleotide array. 1711 62

Drug management can be a difficult task in certain situations because of the variable response observed from one patient to another. Genetic factors affecting the pharmacokinetics and pharmacodynamics of drug reactions could explain the interindividual variability in drug response. Pharmacogenetic analysis provides insight into the molecular mechanisms involved in drug response, with the ultimate goal of achieving optimal drug efficacy and safety. Numerous polymorphisms have been described in genes encoding drug-metabolising enzymes, transporters, and receptors. For some drugs, the impact on drug bioavailability and effect has been elucidated. We review here the molecular basis of interindividual variation in drug response and the methods used to identify individual risk of drug failure or toxicity. Clinical applications, concerning enzymes metabolising drugs (cytochrome P4502D6, thiopurine S-methyltransferase and N-acetyltransferase) provide an illustrative demonstration of the usefulness of pharmacogenetic tests in improving patient management. Clinical validation of these tests and new technologies (real-time PCR, DNA chips) should, in the future promote pharmacogenetics in clinical practice and may be lead to more individualized drug therapy.
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PMID:[Therapeutic failure: importance of genes?]. 1711 71

We present the facile technique of colorimetric SNP analysis through DNA-templated cooperative complexation between a luminescent lanthanide ion (Ln(3+): Tb(3+) or Eu(3+)) and two ODN (oligodeoxyribonucleotide) conjugates carrying a metal chelator. Ethylenediaminetetraacetic acid (EDTA) and 1,10-phenanthrorine (phen) were covalently attached to ODNs to form the conjugate probes, capture and sensitizer probes, respectively. The sequences of the conjugates were designed so as to form a tandem duplex with a target with their auxiliary units facing each other, providing a microenvironment to accommodate Ln(3+). The capture probes for the wild-type (wt) and the mutant (mut) of thiopurine S-methyltransferase gene, were mixed with equimolar amounts of Tb(3+) and Eu(3+), respectively. Then both of the allele specific capture probe solutions and the sensitizer probe were added to three different solutions containing the targets, wt/wt (G/G), mut/mut (C/C), and wt/mut (G/C). The solutions emitted in green, red, and yellow, respectively; the colors were identified even by the naked eye.
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PMID:Colorimetric allele analysis based on the DNA-directed cooperative formation of luminous lanthanide complexes. 1715 Aug 39

A great deal of effort has been spent in defining the pharmacokinetics and pharmacodynamics of investigational and registered anticancer agents. Often, there is a marked variability in drug handling between individual patients, which contributes to variability in the pharmacodynamic effects of a given dose of a drug. A combination of physiological variables, genetic characteristics (pharmacogenetics) and environmental factors is known to alter the relationship between the absolute dose and the concentration-time profile in plasma. A variety of strategies are now being evaluated in patients with cancer to improve the therapeutic index of anticancer drugs by implementation of pharmacogenetic imprinting through genotyping or phenotyping individual patients. The efforts have mainly focused on variants in genes encoding the drug-metabolizing enzymes thiopurine S-methyltransferase, dihydropyrimidine dehydrogenase, members of the cytochrome P450 family, including the CYP2B, 2C, 2D and 3A subfamilies, members of the UDP glucuronosyltransferase family, as well as the ATP-binding cassette transporters ABCB1 (P-glycoprotein) and ABCG2 (breast cancer resistance protein). Several of these genotyping strategies have been shown to have substantial impact on therapeutic outcome and should eventually lead to improved anticancer chemotherapy.
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PMID:Toward individualized treatment: prediction of anticancer drug disposition and toxicity with pharmacogenetics. 1715 98

Human thiopurine S-methyltransferase (TPMT) exhibits considerable person-to-person variation in activity to thiopurine drugs. We have produced an N-terminal truncation of human TPMT protein, crystallized the protein in complex with the methyl donor product S-adenosyl-L-homocysteine, and determined the atomic structure to the resolution of 1.58 and 1.89 A, respectively, for the seleno-methionine incorporated and wild type proteins. The structure of TPMT indicates that the naturally occurring amino acid polymorphisms scatter throughout the structure, and that the amino acids whose alteration have the most influence on function are those that form intra-molecular stabilizing interactions (mainly van der Waals contacts). Furthermore, we have produced four TPMT mutant proteins containing variant alleles of TPMT*2, *3A, *3B, and *3C and examined the structure-function relationship of the mutant proteins based on their expression and solubility in bacteria and their thermostability profile.
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PMID:Structural basis of allele variation of human thiopurine-S-methyltransferase. 1724 78

The proposed metabolic advantage of 6-thioguanine (6-TG) is the direct conversion into the pharmacologically active 6-thioguaninenucleotides (6-TGN). The authors assessed metabolic characteristics of 6-TG treatment in patients with Crohn's disease (N = 7) on therapy with 20 mg 6-TG. 6-thioguanine-monophosphate (6-TGMP), 6-thioguanine-diphosphate (6-TGDP), and 6-thioguanine-triphosphate (6-TGTP) were measured by high-performance liquid chromatography analysis in erythrocytes. Thiopurine S-methyltransferase activity and total 6-TGN levels were determined by standard methods. High interindividual variance in metabolite measurements was observed. Main metabolites were 6-TGTP (median = 531 pmol/8 x 10(8) red blood cells) and 6-TGDP (median = 199 pmol/8 x 10(8) red blood cells). Traces of 6-TGMP (median = 39 pmol/8 x 10(8) red blood cells) and 6-TG (2 patients) could be detected. 6-TGN levels correlated with 6-TGTP levels (r = 0.929, P = .003) and with the sum of separate nucleotides (r = 0.929, P = .003). No correlations were established between TPMT activity (median = 13 pmol/h/10(7)) and 6-TG metabolites. The 1-step metabolism of 6-TG still leads to high interindividual variance in metabolite concentrations. Total 6-TGN level monitoring may suffice for clinical practice.
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PMID:Extended thiopurine metabolite assessment during 6-thioguanine therapy for immunomodulation in Crohn's disease. 1724 69

The pharmacogenetics of either individual patients or tumors has been used to aid the progress of personalized medicine to generate antitumor drugs (eg, trastuzamab and erlotinib) that are active against tumors expressing particular growth factor receptors. Outside the field of cancer therapeutics, pharmacogenetic tests have been introduced to detect patient genotypes with the aim of individualizing existing treatments. For example, the analysis of thiopurine S-methyltransferase genotypes enables the prediction of toxicity in patients to be treated with either 6-mercaptopurine or azathioprine, while the uridine 5'-diphosphoglucuronosyl-transferase 1A1 genotype may predict irinotecan toxicity. There is a large body of information concerning cytochrome P450 (CYP) polymorphisms and their relationship with drug toxicity and response; however, currently, there is limited use of CYP genotypes to individualize treatments. It is now well recognized that the CYP2C9 genotype, when combined with the genotype for vitamin K epoxide reductase complex subunit 1, is predictive of dose requirement for oral anticoagulants, a fact that is likely to have clinical utility. There is also potential to individualize treatments with certain drugs on the basis of CYP2D6, CYP2C19 and CYP3A5 genotypes. Studies on genes encoding drug receptors in relation to individualized prescription have been limited but there is increasing information on the relationship between response to beta2-adrenoceptor agonists and the genotype for the beta2-adrenoceptor gene. The introduction of pharmacogenetic tests into routine healthcare requires both a demonstration of cost-effectiveness and the availability of appropriate accessible testing systems.
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PMID:Individualized drug therapy. 1726 38

Current choice of cancer therapy is usually empirical and relies mainly on the statistical prediction of the treatment success. Molecular research provides some opportunities to personalize antitumor treatment. For example, life-threatening toxic reactions can be avoided by the identification of subjects, who carry susceptible genotypes of drug-metabolizing genes (e.g. TPMT, UGT1A1, MTHFR, DPYD). Tumor sensitivity can be predicted by molecular portraying of targets and other molecules associated with drug response. Tailoring of antiestrogen and trastuzumab therapy based on hormone and HER2 receptor status has already become a classical example of customized medicine. Other predictive markers have been identified both for cytotoxic and for targeted therapies, and include, for example, expression of TS, TP, DPD, OPRT, ERCC1, MGMT, TOP2A, class III beta-tubulin molecules as well as genomic alterations of EGFR, KIT, ABL oncogenes.
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PMID:Molecular-based choice of cancer therapy: realities and expectations. 1730 83


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