Hussain Tajamul, Alrokayan Salman, Upasna Upadhyay, Pavithrakumari Manickam, Jayapriya Jaganathan, Kutala Vijay Kumar, Naushad Shaik Mohammad
Center of Excellence in Biotechnology Research King Saud University Riyadh Saudi Arabia.
J Genet. 2018 Jun;97(2):523-537.
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 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 I² statistics revealed heterogeneity in association with these polymorphisms (< 0.0001) with no evidence of publication bias. Thus, GSTT1 and GSTM1 null polymorphisms are risk factors for breast cancer.
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基因多态性与乳腺癌风险之间关联的研究尚无定论。本研究旨在从全球视角澄清这些酶与乳腺癌风险之间基因关联的不确定性。在PubMed、谷歌学术和Medline中进行了系统的文献检索，涵盖截至2017年9月发表的所有病例对照研究。基于随机效应模型和固定效应模型进行荟萃分析，以计算每种基因变异与乳腺癌风险的总体关联。在所研究的五种多态性中，GSTT1（固定效应模型的OR为1.07，95%CI为1.02 - 1.12；随机效应模型的OR为1.08，95%CI为1.01 - 1.15）和GSTM1（固定效应模型的OR为1.22，95%CI为1.17 - 1.26；随机效应模型的OR为1.25，95%CI为1.12 - 1.35）的无效多态性在两种模型中均显示乳腺癌风险增加。Cochrane Q检验和I²统计显示与这些多态性的关联存在异质性（<0.0001），且无发表偏倚的证据。因此，GSTT1和GSTM1无效多态性是乳腺癌的危险因素。
