Yang Xueying, Feng Aihua, Liu Fengying, Li Qun, Zhang Jing, Yang Chuanhua, An Yujun
Department of Gynaecology and Obstetrics, The Fourth People's Hospital of Jinan, Jinan, 250000, China.
Tumour Biol. 2013 Oct;34(5):2583-7. doi: 10.1007/s13277-013-0805-0. Epub 2013 Apr 23.
The association between CYP17A1 T-34C polymorphism and endometrial cancer risk has been inconsistent and underpowered. To clarify the effect of CYP17A1 T-34C polymorphism on the risk of endometrial cancer, a meta-analysis of all available studies relating CYP17A1 T-34C polymorphism to the risk of endometrial cancer was conducted. The authors searched PubMed, EMBASE, Scopus, and VisionCite databases updated on March 2013. Data were extracted by two independent authors and pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated. Finally, seven studies with 1,570 endometrial cancer cases and 2,474 controls were included in the meta-analysis. There was no statistically significant association between CYP17A1 T-34C polymorphism and endometrial cancer under heterogeneous codominant model (OR = 0.91, 95 %CI = 0.68-1.21). Although CYP17A1 T-34C polymorphism was marginally associated with endometrial cancer risk under homogeneous codominant model (OR = 0.69, 95 %CI = 0.49-0.99), the significant association was not stable after sensitivity analysis. We concluded that CYP17A1 T-34C polymorphism might not be one risk factor in the carcinogenesis of endometrial cancer. Further large and well-designed studies are needed to confirm this association.
细胞色素P450 17α-羟化酶1（CYP17A1）基因T-34C多态性与子宫内膜癌风险之间的关联一直存在争议且研究力度不足。为了阐明CYP17A1基因T-34C多态性对子宫内膜癌风险的影响，我们对所有将CYP17A1基因T-34C多态性与子宫内膜癌风险相关的现有研究进行了荟萃分析。作者检索了2013年3月更新的PubMed、EMBASE、Scopus和VisionCite数据库。由两位独立作者提取数据，并计算合并比值比（OR）及95%置信区间（CI）。最终，七项研究共纳入1570例子宫内膜癌病例和2474例对照，纳入荟萃分析。在异质性共显性模型下，CYP17A1基因T-34C多态性与子宫内膜癌之间无统计学显著关联（OR = 0.91，95%CI = 0.68 - 1.21）。虽然在同质性共显性模型下，CYP17A1基因T-34C多态性与子宫内膜癌风险存在边缘性关联（OR = 0.69，95%CI = 0.49 - 0.99），但敏感性分析后该显著关联并不稳定。我们得出结论，CYP17A1基因T-34C多态性可能不是子宫内膜癌发生的危险因素之一。需要进一步开展大规模、设计良好的研究来证实这种关联。
