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Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk

机译:异种代谢酶基因多态性的Meta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 (m1, 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 searchwas carried out in PubMed, Google Scholar and Medline, covering all the casea??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: 1.02a??1.12 and OR: 1.08, 95% CI: 1.01a??1.15 for fixed-effect and random-effect models, respectively) and GSTM1 (OR: 1.22, 95% CI: 1.17a??1.26 and OR: 1.25, 95% CI: 1.12a??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:关于细胞色素p450 A1(m1,m2),儿茶酚-O-甲基转移酶(COMT)H108L,谷胱甘肽S-转移酶(GST)T1和M1多态性与乳腺癌风险之间关系的研究尚无定论。当前的研究旨在从全球的角度阐明这些酶与乳腺癌风险的遗传关联中的歧义。在PubMed,Google Scholar和Medline进行了系统的文献检索,涵盖了直到2017年9月为止发表的所有案例研究。根据随机效应和固定效应模型进行了荟萃分析,以计算出总的关联性。每个遗传变异都有患乳腺癌的风险。在研究的五个多态性中,GSTT1(对于固定效应模型和随机效应模型分别为:OR:1.07、95%CI:1.02a ?? 1.12和OR:1.08、95%CI:1.01a ?? 1.15)和GSTM1(对于固定效应模型和随机效应模型,OR:1.22、95%CI:1.17a ?? 1.26和OR:1.25、95%CI:1.12a ?? 1.35)无效多态性在两种情况下均显示出罹患乳腺癌的风险增加模型。 Cochrane Q检验和I 2统计显示与这些多态性相关的异质性(P <0.0001),没有证据表明存在出版偏倚。因此,GSTT1和GSTM1无效多态性是乳腺癌的危险因素。

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