Shi Shujing, Qin Lingyan, Tian Mengqiu, Xie Mao, Li Xiaoxue, Qi Chenglin, Yi Xiang
Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China,
Tumour Biol. 2014 Jun;35(6):5797-804. doi: 10.1007/s13277-014-1769-4. Epub 2014 Mar 6.
Genetic polymorphisms of RAD51 135 G>C and XRCC2 G>A (rs3218536) have been reported to change the risk of ovarian cancer, but the results are controversial. To get a more precise result, a meta-analysis was performed. A comprehensive literature search in PubMed, Excerpta Medica Database, and China National Knowledge Infrastructure was carried out to get case-control studies published up to November 2013. The pooled odds ratio (OR) and its corresponding 95 % confidence interval (CI) were conducted to estimate the effect of RAD51 135 G>C and XRCC2 G>A (rs3218536) polymorphisms on ovarian cancer risk. A total of 13 independent case-control studies with 5,927 cases and 10,303 controls were included in this meta-analysis. There was no significant association between RAD51 135 G>C polymorphism and risk of ovarian cancer. However, the result of total studies indicated the XRCC2 G>A (rs3218536) polymorphism could reduce the risk of ovarian cancer (heterozygote model AG vs. GG: OR=0.877, 95 % CI=0.770-0.999, P=0.048; dominant model AA/AG vs. GG: OR=0.864, 95 % CI=0.763-0.979, P=0.022). The result was still significant after Hardy-Weinberg equilibrium-violating studies were excluded (allele contrast A vs. G: OR=0.836, 95 % CI=0.74-0.943, P=0.004; homozygote model AA vs. GG: OR=0.562, 95 % CI=0.317-0.994, P=0.048; heterozygote model AG vs. GG: OR=0.859, 95 % CI=0.753-0.98, P=0.023; dominant model AA/AG vs. GG: OR=0.842, 95 % CI=0.74-0.958, P=0.009). In the stratified analysis by ethnicity, significantly reduced risk was observed among Caucasians in dominant model (AA/AG vs. GG: OR=0.867, 95 % CI=0.764-0.984, P=0.027). No significant association was found between the RAD51 135G>C polymorphism and the risk of ovarian cancer. Interestingly, XRCC2 G>A (rs3218536) polymorphism might reduce the risk of ovarian cancer. Larger-scale and well-designed studies are needed to further clarify the association.
据报道,RAD51 135G>C和XRCC2 G>A(rs3218536)的基因多态性会改变卵巢癌风险,但结果存在争议。为获得更精确的结果,进行了一项荟萃分析。在PubMed、医学文摘数据库和中国知网中进行了全面的文献检索,以获取截至2013年11月发表的病例对照研究。采用合并比值比(OR)及其相应的95%置信区间(CI)来评估RAD51 135G>C和XRCC2 G>A(rs3218536)多态性对卵巢癌风险的影响。该荟萃分析共纳入13项独立的病例对照研究,包括5927例病例和10303例对照。RAD51 135G>C多态性与卵巢癌风险之间无显著关联。然而,总体研究结果表明,XRCC2 G>A(rs3218536)多态性可降低卵巢癌风险(杂合子模型AG与GG:OR=0.877,95%CI=0.770 - 0.999,P=0.048;显性模型AA/AG与GG:OR=0.864,95%CI=0.763 - 0.979,P=0.022)。排除违反哈迪-温伯格平衡的研究后,结果仍然显著(等位基因对比A与G:OR=0.836,95%CI=0.74 - 0.943,P=0.004;纯合子模型AA与GG:OR=0.562,95%CI=0.317 - 0.994,P=0.048;杂合子模型AG与GG:OR=0.859,95%CI=0.753 - 0.98,P=0.023;显性模型AA/AG与GG:OR=0.842,95%CI=0.74 - 0.958,P=0.009)。在按种族进行的分层分析中,在显性模型中观察到高加索人的风险显著降低(AA/AG与GG:OR=0.867,95%CI=0.764 - 0.984,P=0.027)。RAD51 135G>C多态性与卵巢癌风险之间未发现显著关联。有趣的是,XRCC2 G>A(rs3218536)多态性可能会降低卵巢癌风险。需要更大规模且设计良好的研究来进一步阐明这种关联。