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首页> 外文期刊>Journal of genetics >Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk
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Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk

机译：异种型代谢酶遗传多态性的荟萃分析及其与乳腺癌风险的关系

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摘要

Studies on the association of cytochrome p450 A1 (ml, m2), catechol-O-methyltransferase (COMT) H108L, glutathione S-transferase (GST) T1 and M1 polymorphisms with breast cancer risk were inconclusive. The current study was aimed to clarify the ambiguity in genetic associations of these enzymes with breast cancer risk on a global perspective. A systematic literature search was carried out in PubMed, Google Scholar and Medline, covering all the case-control studies published until September 2017. A meta-analysis was performed based on the random-effect and fixed-effect models to calculate the overall association of each genetic variant with breast cancer risk. Of the five polymorphisms studied, GSTT1 (OR: 1.07, 95% CI: 1.02-1.12 and OR: 1.08, 95% CI: 1.01-1.15 for fixed-effect and random-effect models, respectively) and GSTM1 (OR: 1.22, 95% CI: 1.17-1.26 and OR: 1.25, 95% CI: 1.12-1.35 for fixed-effect and random-effect models, respectively) null polymorphisms exhibited an increased risk for breast cancer in both the models. Cochrane Q-test and I-2 statistics revealed heterogeneity in association with these polymorphisms (P 0.0001) with no evidence of publication bias. Thus, GSTT1 and GSTM1 null polymorphisms are risk factors for breast cancer.
机译：对细胞色素P450a1（ml，m2），儿茶酚-O-甲基转移酶（COMT）H1081，谷胱甘肽S转移酶（GST）T1和M1多态性与乳腺癌风险的关键态的研究是不确定的。目前的研究旨在阐明这些酶的遗传关联与乳腺癌风险的歧视，以全球性的观点。在PubMed，Google Scholar和Medline进行了系统的文献搜索，涵盖了直到2017年9月出版的所有案例控制研究。基于随机效应和固定效果模型进行了META分析，以计算整体协会每个遗传变异有乳腺癌的风险。研究的五种多态性，GSTT1（或：1.07,95％CI：1.02-1.12和：1.08,95％CI：1.01-1.15分别用于固定效应和随机效应模型）和GSTM1（或：1.22， 95％CI：1.17-1.26和或：1.25,95％CI：1.12-1.35分别用于无效多态性，在模型中表现出乳腺癌风险增加。 Cochrane Q-Test和I-2统计显示与这些多态性相关联的异质性（P <0.0001），没有出版物偏见的证据。因此，GSTT1和GSTM1零多态性是乳腺癌的危险因素。

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