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)

Iatrogenic malignancies represent a devastating and often fatal long-term effect of therapy administered for a prior condition, usually a primary cancer. Earlier diagnosis and the development of more effective cancer treatments over the last 30 years have considerably improved the long-term survival of patients. However, the burgeoning number of cancer survivors has led to a parallel increase in the number of cases of iatrogenic malignancy. Consequently, understanding host susceptibility factors, such that high-risk patients can be identified, has become a priority. However, this task is made difficult by the heterogeneity of iatrogenic malignancies. Nevertheless, the identification of polymorphic loci and pathways predicted to modify dose (e.g., glutathione S-transferases, nicotinamide adenine dinucleotide phosphate: quinone oxidoreductase, cytochrome P450, and thiopurine S-methyltransferase) or determine cellular outcome (e.g., nucleotide excision DNA repair, base excision DNA repair, DNA mismatch repair, and cell death signaling) after therapy has provided insight into how host genetics may impact on the risk of developing iatrogenic malignancy.
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PMID:Genetic susceptibility to iatrogenic malignancy. 1614 1

To identify gene(s) targeted by 6p22 genomic gain, present in more than 50% retinoblastoma tumors, we used real-time RT-PCR to quantify the expression of seven genes in normal human retina and retinoblastoma. Six genes are located in the quantitative multiplex PCR-defined 0.6 Mb minimal region of gain at 6p22 (DEK, AOF1, TPMT, NHLRC1, KIF13A, and NUP153), and E2F3 is 2 Mb away from the minimal region of gain on 6p22. E2F3, DEK, KIF13A, and NUP153 were most frequently overexpressed in retinoblastoma with 6p genomic gain, compared with the normal adult human retina. E2F3 and DEK mRNA levels were increased in all human tumors showing 6p22 gain, as well as in mouse retinoblastoma induced by SV40 large T antigen expression in developing retina, compared with the normal controls (adult human retina and 7-day-old mouse retina, respectively). Only DEK showed statistically significant correlation of expression and genomic copy number (P = 0.019). E2F3 and DEK, but not NUP153, showed developmental regulation. E2F3 and DEK mRNA overexpression was always associated with protein overexpression, determined by immunoblotting or immunofluorescent staining of primary tumors, relative to the adjacent normal retina. E2F3 was strongly expressed in actively proliferating cells, while DEK was overexpressed in all tumor cells. Taking into account the proliferation-promoting role of E2F3, implication of E2F3 in bladder and prostate cancer, and the translocation and overexpression of DEK in leukemia, we conclude that either DEK or E2F3 (or both) are targeted by the 6p22 gain in retinoblastoma.
Genes Chromosomes Cancer 2006 Jan
PMID:Expression analysis of 6p22 genomic gain in retinoblastoma. 1618 Feb 35

The great advances in therapeutic success for childhood cancers have provided the impetus for strategies to avoid serious systemic toxicities from chemotherapy. This review describes the impact of genetic mutations in drug metabolism pathways on the toxicity of anticancer agents. Although many polymorphisms have been related to toxicity in adults, these associations are less well defined in children. The role of genetic polymorphisms in MTHFR, TYMS, TPMT, and UGT1A1 in influencing drug toxicity is reviewed. Better understanding of the pharmacogenetic determinants of drug metabolism or pharmacologic cofactors may allow for prospective identification of potential patients who are at increased risk for toxicity, allowing for dose optimization and resulting in a decrease in toxic risk while maximizing efficacy.
Cancer J
PMID:Pharmacogenetics and pediatric cancer. 1619 21

The thiopurine drugs, 6-mercaptopurine (6-MP), 6-thioguanine (6-TG) are commonly used cytotoxic agents. A derivative of 6-MP, azathioprine, is commonly used as an immunosuppressant. A prominent route for the metabolism of these agents is mediated by the enzyme thiopurine methyltransferase (TPMT). This enzyme exhibits considerable inter-individual variation in activity, partly due to the presence of common genetic polymorphisms, which influence cytotoxicity of the thiopurine drugs. Variations in the number of tandem repeats in the 5' promoter region have also been shown to influence TPMT expression in vitro. In this article, we review the impact of variations in TPMT activity on sensitivity to the thiopurine drugs in vitro and also in vivo in terms of their clinical efficacy and toxicity. A possible relationship between TPMT and secondary malignancies is also reviewed.
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PMID:The thiopurines: an update. 1626 26

There is wide variability in the response of individuals to standard doses of drug therapy. This is an important problem in clinical practice, where it can lead to therapeutic failures or adverse drug reactions. Polymorphisms in genes coding for metabolising enzymes and drug transporters can affect drug efficacy and toxicity. Pharmacogenetics aims to identify individuals predisposed to a high risk of toxicity and low response from standard doses of anti-cancer drugs. This review focuses on the clinical significance of polymorphisms in drug-metabolising enzymes (cytochrome P450 [CYP] 2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, dihydropyrimidine dehydrogenase, uridine diphosphate glucuronosyltransferase [UGT] 1A1, glutathione S-transferase, sulfotransferase [SULT] 1A1, N-acetyltransferase [NAT], thiopurine methyltransferase [TPMT]) and drug transporters (P-glycoprotein [multidrug resistance 1], multidrug resistance protein 2 [MRP2], breast cancer resistance protein [BCRP]) in influencing efficacy and toxicity of chemotherapy. The most important example to demonstrate the influence of pharmacogenetics on anti-cancer therapy is TPMT. A decreased activity of TPMT, caused by genetic polymorphisms in the TPMT gene, causes severe toxicity with mercaptopurine. Dosage reduction is necessary for patients with heterozygous or homozygous mutation in this gene. Other polymorphisms showing the influence of pharmacogenetics in the chemotherapeutic treatment of cancer are discussed, such as UGT1A1*28. This polymorphism is associated with an increase in toxicity with irinotecan. Also, polymorphisms in the DPYD gene show a relation with fluorouracil-related toxicity; however, in most cases no clear association has been found for polymorphisms in drug-metabolising enzymes and drug transporters, and pharmacokinetics or pharmacodynamics of anti-cancer drugs. The studies discussed evaluate different regimens and tumour types and show that polymorphisms can have different, sometimes even contradictory, pharmacokinetic and pharmacodynamic effects in different tumours in response to different drugs. The clinical application of pharmacogenetics in cancer treatment will therefore require more detailed information of the different polymorphisms in drug-metabolising enzymes and drug transporters. Larger studies, in different ethnic populations, and extended with haplotype and linkage disequilibrium analysis, will be necessary for each anti-cancer drug separately.
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PMID:Genetic polymorphisms of drug-metabolising enzymes and drug transporters in the chemotherapeutic treatment of cancer. 1650 59

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

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

Multiple drug strategies for many cancer types are now readily available and there is a clear need for tools to inform decision making on therapy selection. Although there is still a long way to go before pharmacogenomics achieves the goal of individualized selection of cancer treatment, promising progress is being made. Genetic testing for thiopurine methyltransferase (TPMT) variant alleles in patients prior to mercaptopurine administration, and for UGT1A1*28 in patients prior to administration of irinotecan therapy, along with the instigation of genotype-guided clinical trials (e.g. TYMS) are important advances in cancer pharmacogenomics. Markers for the toxicity and efficacy of many oncology drugs remain unknown; however, the examples highlighted here suggest progress is being made towards the incorporation of pharmacogenomics into clinical practice in oncology.
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PMID:Impact of pharmacogenomics on clinical practice in oncology. 1739 43

The recessive deficiency in thiopurine methyltransferase (TPMT), caused by germ-line polymorphisms in TPMT, can cause severe toxicity after mercaptopurine. However, the significance of heterozygosity and the effect of the polymorphism on thioguanine or in the absence of thiopurines is not known. To address these issues, we created a murine knockout of Tpmt. Pharmacokinetic and pharmacodynamic studies of mercaptopurine and thioguanine were done in Tpmt(-/-), Tpmt(+/-), and Tpmt(+/+) mice and variables were compared among genotypes. Methylated thiopurine and thioguanine nucleotide metabolites differed among genotypes after treatment with mercaptopurine (P < 0.0001 and P = 0.044, respectively) and thioguanine (P = 0.011 and P = 0.002, respectively). Differences in toxicity among genotypes were more pronounced following treatment with 10 daily doses of mercaptopurine at 100 mg/kg/d (0%, 68%, and 100% 50-day survival; P = 0.0003) than with thioguanine at 5 mg/kg/d (0%, 33%, and 50% 15-day survival; P = 0.07) in the Tpmt(-/-), Tpmt(+/-), and Tpmt(+/+) genotypes, respectively. Myelosuppression and weight loss exhibited a haploinsufficient phenotype after mercaptopurine, whereas haploinsufficiency was less prominent with thioguanine. In the absence of drug challenge, there was no apparent phenotype. The murine model recapitulates many clinical features of the human polymorphism; indicates that mercaptopurine is more affected by the TPMT polymorphism than thioguanine; and provides a preclinical system for establishing safer regimens of genetically influenced antileukemic drug therapy.
Cancer Res 2007 May 15
PMID:Differential effects of targeted disruption of thiopurine methyltransferase on mercaptopurine and thioguanine pharmacodynamics. 1751 Apr 27


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