Literature DB >> 10354524

Drug metabolism polymorphisms as modulators of cancer susceptibility.

M Taningher1, D Malacarne, A Izzotti, D Ugolini, S Parodi.   

Abstract

Recently, several molecular genetic bases of polymorphic enzyme activities involved in drug activation and detoxification have been elucidated. Many molecular epidemiology studies based on these premises have sought to gather information on the association of genetically determined metabolic variants with different risks of environmentally induced cancer. While rare alterations of tumor suppressor genes dramatically raise cancer risk for the single affected subjects, far more common and less dramatic differences in genes encoding for drug metabolism enzymes can be responsible for a relatively small, but rather frequent increase of cancer risk at the population level. This increase could be especially important in specific cases of occupational, pharmacological or environmental exposure. Examination of the current literature reveals that the most extensively investigated metabolic polymorphisms are those of P450 1A1 and P450 2D6 cytochromes, glutathione S-transferases (GSTs; M1 and, to a lesser extent, M3, P1 and T1) and N-acetyltransferases (NATs; NAT1 and NAT2). Making reference to these enzymes, we have assayed the current knowledge on the relations among polymorphisms of human xenobiotic-metabolizing enzymes and cancer susceptibilities. We have found intriguing models of susceptibility toward different types of cancer. We have reviewed and commented these models on light of the complex balance among different enzyme activities that, in each individual, determines the degree of each cancer susceptibility. Moreover, we have found techniques of molecular genetic analysis, more suitable than previous ones on phenotypic expression, now allowing better means to detect individuals at risk of cancer. According to the models presently available, a systematic screening of individuals at risk seems to make sense only in situations of well defined carcinogenic exposures and when performed by the polymorphism analysis of coordinated enzyme activities concurring to the metabolism of the carcinogen(s) in question. Genetic polymorphism analysis can allow for the detection of patients more prone to some types of specific cancers, or to the adverse effects of specific pharmaceutical agents. Considering the increasingly confirmed double-edged sword nature of metabolism polymorphism (both wild-type and variant alleles can predispose to cancer, albeit in different situations of exposure), individual susceptibility to cancer should be monitored as a function of the nature, and mechanism of action, of the carcinogen(s) to which the individual under study is known to be exposed, and with reference to the main target organ of the considered type of exposure. Copyright 1999 Elsevier Science B.V.

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Year:  1999        PMID: 10354524     DOI: 10.1016/s1383-5742(99)00005-8

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  24 in total

1.  Genetic polymorphism of CYP1A2 increases the risk of myocardial infarction.

Authors:  M C Cornelis; A El-Sohemy; H Campos
Journal:  J Med Genet       Date:  2004-10       Impact factor: 6.318

2.  Differential methylation pattern of xenobiotic metabolizing genes and susceptibility to Balkan endemic nephropathy, in a cohort of Romanian patients.

Authors:  Alexandra Ivan; Dilys Lam; Mirabela Iustina Cristea; Ada Telea; Alexandra Teodora Gruia; Camelia Oprean; Florin Margineanu; Florina Maria Bojin; Richard Saffery; Virgil Paunescu; Calin Adrian Tatu
Journal:  J Nephrol       Date:  2019-06-20       Impact factor: 3.902

3.  CYP1A1, CYP2E1, GSTM1, GSTT1, EPHX1 exons 3 and 4, and NAT2 polymorphisms, smoking, consumption of alcohol and fruit and vegetables and risk of head and neck cancer.

Authors:  Stefania Boccia; Gabriella Cadoni; Fakhredin A Sayed-Tabatabaei; Mariangela Volante; Dario Arzani; Angelo De Lauretis; Caterina Cattel; Giovanni Almadori; Cornelia M van Duijn; Gaetano Paludetti; Gualtiero Ricciardi
Journal:  J Cancer Res Clin Oncol       Date:  2007-07-05       Impact factor: 4.553

4.  Role of GST and NAT2 polymorphisms in thyroid cancer.

Authors:  A Hernández; N Xamena; J Surrallés; P Galofré; A Velázquez; A Creus; R Marcos
Journal:  J Endocrinol Invest       Date:  2008-11       Impact factor: 4.256

5.  Gene-environment interactions associated with CYP1A1 MspI and GST polymorphisms and the risk of upper aerodigestive tract cancers in an Indian population.

Authors:  Soya Sisy Sam; Vinod Thomas; K S Reddy; Gopalakrishnan Surianarayanan; Adithan Chandrasekaran
Journal:  J Cancer Res Clin Oncol       Date:  2009-12-10       Impact factor: 4.553

6.  Further evidence for null association of phenol sulfotransferase SULT1A1 polymorphism with prostate cancer risk: a case-control study of familial prostate cancer in a Japanese population.

Authors:  Hidekazu Koike; Haruki Nakazato; Nobuaki Ohtake; Hiroshi Matsui; Hironobu Okugi; Yasuhiro Shibata; Seiji Nakata; Hidetoshi Yamanaka; Kazuhiro Suzuki
Journal:  Int Urol Nephrol       Date:  2008-03-27       Impact factor: 2.370

7.  Genetic variations in XRCC1 gene in sporadic head and neck cancer (HNC) patients.

Authors:  Ishrat Mahjabeen; Ruqia Mehmood Baig; Nosheen Masood; Maimoona Sabir; Uzma Inayat; Faraz Arshad Malik; Mahmood Akhtar Kayani
Journal:  Pathol Oncol Res       Date:  2012-09-29       Impact factor: 3.201

Review 8.  Regulation of cytochrome P450 (CYP) genes by nuclear receptors.

Authors:  P Honkakoski; M Negishi
Journal:  Biochem J       Date:  2000-04-15       Impact factor: 3.857

9.  Identification of glutathione S-transferase (GST) polymorphisms in brain tumors and association with susceptibility to pediatric astrocytomas.

Authors:  Rona Ezer; Michelle Alonso; Elaine Pereira; Mimi Kim; Jeffrey C Allen; Douglas C Miller; Elizabeth W Newcomb
Journal:  J Neurooncol       Date:  2002-09       Impact factor: 4.130

10.  Association of GSTT1 gene polymorphisms with the risk of prostate cancer: an updating meta-analysis.

Authors:  Jihong Wang; Yuemin Xu; Qiang Fu; Jianjun Yu; Zhong Chen; Zhangshun Liu; Chao Li; Hui Guo; Mingkai Xie
Journal:  Tumour Biol       Date:  2013-03-02
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