微RNA-196a-2基因rs11614913多态性与胃癌易感性的Meta分析

Association between rs11614913 polymorphism of microRNA-196a-2 gene and the susceptibility of gastric cancer:a Meta-analysis

目的：采用Meta分析的方法评价微RNA-196a-2（micro RNA-196a-2,miR-196a-2）基因rs11614913位点的单核苷酸多态性（single nucleotide polymorphism,SNP）与胃癌发病风险的关系。方法 ：计算机检索Pub Med、Web of Science、Cochrane Library、中国知网、中国生物医学文献数据库、维普和万方等各大数据库,收集从建库至2015年10月公开发表的关于miR-196a-2基因rs11614913多态性与胃癌易感性关系的病例-对照研究。按照文献纳入及排除标准筛选文献,提取数据并进行质量评价。采用STATA 12.0软件进行Meta分析,计算合并比值比（odds ratio,OR）及95%可信区间（confidence interval,CI）,并进行亚组分析、敏感性分析和发表偏倚检测。结果 ：共纳入7个病例-对照研究,包括胃癌患者2 924例,非肿瘤人群3 484例。Meta分析结果表明,在miR-196a-2基因rs11614913多态性中,等位基因模型（C vs T：OR=1.36,95%CI为0.95～1.95）、相加模型（CC vs TT：OR=1.78,95%CI为0.94～3.39）、隐性基因模型（CC vs TT＋CT：OR=1.47,95%CI为0.83～2.62）及共显性模型（CT vs CC＋TT：OR=0.92,95%CI为0.72～1.17）均与胃癌发病风险无关,而显性基因模型与胃癌发病风险相关（CT＋CC vs TT：OR=1.46,95%CI为1.03～2.07）。敏感性分析提示以上结果具有稳定性。结论 ：miR-196a-2基因rs11614913多态性中显性基因模型可能与胃癌发病风险相关。

Objective： To quantitatively evaluate the association between re11614913 single nucleotide polymorphism （SNP）of microRNA-1 96a-2 （miR-1 96a-2） gene and the susceptibility of gastric cancer using Meta-analysis Methods： A computer-based online search was performed by using PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Chinese BioMedical Literature database, VlP database and Wanfang database. The domestic and abroad published case- control studies about the association between rs11614913 polymorphism of miR-196a-2 gene and the susceptibility of gastric cancer were collected from the creation time of these electronic databases to October, 201 5. The literatures were screened according to the inclusion and exclusion criteria, the data were extracted, and the quality of the included studies was evaluated. Then Meta-analysis was performed by using STATA 12.1 software. The pooled odds ratio （OR） and its 95% confidence interval （CI） were calculated. Furthermore, the subgroup analysis, sensitivity analysis and publication bias test were performed, respectively. Results： A total of 7 case-control studies involving 2 924 cases of gastric cancer and 3 484 non-tumor controls were included. Meta-analysis showed that the miR-196a-2 rs11614913 polymorphism in allele model （C vs T） （OR = 1.36, 95% CI： 0.95-1.95）, additive model （CC vs TT） （OR = 1.78, 95% CI： 0.94-3.39）, recessive model （CC vs TT ＋ CT） （OR = 1.47, 95% CI： 0.83-2.62） and codominant model （CT vs CC ＋ TT） （OR = 0.92, 95% CI： 0.72-1.1 7） was not significantly associated with the risk of gastric cancer. But the miR-196a-2 rs11614913 polymorphism in dominant model （CT ＋ CC vs TT） was significantly associated with the risk of gastric cancer （OR = 1.46, 95% CI： 1.03-2.07）. Sensitivity analysis suggested that the above results were steady. Conclusion： MiR-196a-2 rsl 1 61491 3 polymorphism may be associated with the risk of gastric cancer in dominant model.