Teaching Reform Class of 2016 of the First Clinical College, Changzhi Medical College, Shanxi, Changzhi, China.
Institute of Evidence-based medicine, Heping Hospital Affiliated to Changzhi Medical College, Shanxi, Changzhi, China.
PLoS One. 2021 Apr 28;16(4):e0249632. doi: 10.1371/journal.pone.0249632. eCollection 2021.
Nine previous meta-analyses have been published to analyze the CYP1A1 T3801C and A2455G polymorphisms with BC risk. However, they did not assess the credibility of statistically significant associations. In addition, many new studies have been reported on the above themes. Hence, we conducted an updated systematic review and meta-analysis to further explore the above issues.
To explore the association on the CYP1A1 T3801C and A2455G polymorphisms with BC risk.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (The PRISMA) were used.
In this study, there were 63 case-control studies from 56 publications on the CYP1A1 T3801C polymorphism (including 20,825 BC cases and 25,495 controls) and 51 case-control studies from 46 publications on the CYP1A1 A2455G polymorphism (including 20,124 BC cases and 29,183 controls). Overall, the CYP1A1 T3801C polymorphism was significantly increased BC risk in overall analysis, especially in Asians and Indians; the CYP1A1 A2455G polymorphism was associated with BC risk in overall analysis, Indians, and postmenopausal women. However, when we used BFDP correction, associations remained significant only in Indians (CC vs. TT + TC: BFDP < 0.001) for the CYP1A1 T3801C polymorphism with BC risk, but not in the CYP1A1 A2455G polymorphism. In addition, when we further performed sensitivity analysis, no significant association in overall analysis and any subgroup. Moreover, we found that all studies from Indians was low quality. Therefore, the results may be not credible.
This meta-analysis strongly indicates that there is no significant association between the CYP1A1 T3801C and A2455G polymorphisms and BC risk. The increased BC risk may most likely on account of false-positive results.
此前已有九项荟萃分析研究了 CYP1A1 T3801C 和 A2455G 多态性与乳腺癌风险之间的关系。然而,它们并未评估具有统计学意义的关联的可信度。此外,关于上述主题已经有许多新的研究报告。因此,我们进行了一项更新的系统评价和荟萃分析,以进一步探讨上述问题。
探讨 CYP1A1 T3801C 和 A2455G 多态性与乳腺癌风险的关系。
采用系统评价和荟萃分析的首选报告项目(The PRISMA)。
本研究共纳入了 63 项关于 CYP1A1 T3801C 多态性的病例对照研究(包括 20825 例乳腺癌病例和 25495 例对照)和 51 项关于 CYP1A1 A2455G 多态性的病例对照研究(包括 20124 例乳腺癌病例和 29183 例对照)。总体而言,CYP1A1 T3801C 多态性与乳腺癌风险显著相关,尤其是在亚洲人和印度人中;CYP1A1 A2455G 多态性与乳腺癌风险相关,尤其是在印度人和绝经后女性中。然而,当我们使用 BFDP 校正时,只有在印度人中,CYP1A1 T3801C 多态性与乳腺癌风险之间的关联仍然显著(CC 与 TT+TC:BFDP<0.001),而 CYP1A1 A2455G 多态性则没有。此外,当我们进一步进行敏感性分析时,在总体分析和任何亚组中均未发现显著关联。此外,我们发现所有来自印度人的研究均为低质量。因此,结果可能不可靠。
这项荟萃分析强烈表明,CYP1A1 T3801C 和 A2455G 多态性与乳腺癌风险之间没有显著关联。乳腺癌风险的增加很可能是由于假阳性结果所致。