Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case-control studies

Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case-control studies
复制标题

DOI:
10.1007/s11033-011-1308-y
复制
发表时间:
2012-05-01
影响因子:
2.8
通讯作者:
Wang, Wei
Wang, Wei
中科院分区:
生物学4区
文献类型:
--
作者:
He, Xiao-Feng;Wei, Wu;Wang, Wei

文献摘要

被引文献

相似文献

先前发表的关于X射线修复交叉互补组3(XRCC3)T241M、A4541G和A17893G基因多态与乳腺癌风险之间的关联的数据仍然存在争议。因此,我们进行了荟萃分析,以研究不同遗传模式中XRCC3 T241M(21,910例和23,961例)、A4541G(9,633例和10,994例)和A17893G(10,761例和12,235例对照)多态与乳腺癌的关系。将所有符合条件的研究纳入XRCC3T241M多态的Meta分析后,隐性模型(优势比[OR]=1.10,95%可信区间[CI]=1.04~1.16)和加性模型(OR=1.10,95%CI=1.03~1.16)发生乳腺癌的风险显著增加。未发现A4541G多态与乳腺癌风险显著相关。将所有符合条件的研究纳入XRCC3 A17893G多态的Meta分析,没有发现任何遗传模型存在显著的相关性。此外,当敏感性分析中删除一个研究时,XRCC3 A17893G的结果在加性模型(OR=0.90,95%CI=0.82~0.99)和显性模型(OR=0.94,95%CI=0.89~0.99)中发生了变化。综上所述,这一荟萃分析表明,T241M多态显示乳腺癌风险增加,而A17893G多态可能与乳腺癌风险降低相关。需要进行更大样本量的研究,以进一步评估XRCC3 T241M、A4541G和A17893G基因多态与乳腺癌风险之间的基因-环境交互作用。
The previous published data on the association between X-ray repair cross-complementing group 3 (XRCC3) T241M, A4541G, and A17893G polymorphisms and breast cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between breast cancer and XRCC3 T241M (21,910 cases and 23,961 controls), A4541G (9,633 cases and 10,994 controls), and A17893G polymorphisms (10,761 cases and 12,235 controls) in different inheritance models. When all the eligible studies were pooled into the meta-analysis of XRCC3 T241M polymorphism, significantly increased risk of breast cancer was observed in recessive model (odds' ratio [OR] = 1.10, 95% confidence interval [CI] = 1.04-1.16) and in additive model (OR = 1.10, 95% CI = 1.03-1.16). No significant association was found between A4541G polymorphism and breast cancer risk. When all the eligible studies were pooled into the meta-analysis of XRCC3 A17893G polymorphism, no significant association was found in any genetic model. Additionally, when one study was deleted in the sensitive analysis, the results of XRCC3 A17893G were changed in the additive model (OR = 0.90, 95% CI = 0.82-0.99) and dominant model (OR = 0.94, 95% CI = 0.89-0.99). In summary, this meta-analysis indicates that T241M polymorphism show an increased breast cancer risk and A17893G polymorphism may be associated with decreased breast cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on XRCC3 T241M, A4541G, and A17893G polymorphisms and breast cancer risk.