Xie Fuyi, Sun Qi, Wu Shengjun, Xie Xinyou, Liu Zhiwei
1 Department of Laboratory Medicine, Ningbo Medical Treatment Center, Lihuili Hospital , Ningbo, China .
Genet Test Mol Biomarkers. 2014 Aug;18(8):591-5. doi: 10.1089/gtmb.2013.0329. Epub 2014 Jul 22.
Association studies of ERCC1 19007T>C polymorphism and lung cancer have yielded inconsistent results, possibly because single studies often lack sufficient statistical power.
We examined the association by performing a meta-analysis. Two investigators independently searched the Google Scholar, PubMed, and CNKI Databases. Summary odds ratios (ORs) and 95% confidence intervals (95% CIs) for 19007T>C polymorphism and lung cancer were calculated in a fixed-effects model and a random-effects model, when appropriate. Publication bias was evaluated using Begg's funnel plot.
Overall, the meta-analysis included 7 case-control studies for each polymorphism with 3840 confirmed lung cancer cases and 4712 healthy controls in total. Meta-analysis results showed a significant association between 19007T>C polymorphism and lung cancer risk (CC vs. TT: OR=0.72, 95% CI 0.53-0.99; CT vs. TT: OR=0.84, 95% CI 0.73-0.98; Dominant model: OR=0.70, 95% CI 0.52-0.95). Further stratified analyses conducted by ethnicity reveal a statistically significant association in Asians (Dominant model: OR=0.63, 95% CI 0.43-0.93), but no significant association in Europeans.
This meta-analysis suggests that the ERCC1 19007T>C polymorphism may be associated with lung cancer risk in Asians, while larger scale association studies are necessary to further validate the association of 19007T>C polymorphism with lung cancer risk.
关于ERCC1基因19007T>C多态性与肺癌的关联研究结果并不一致,可能是因为单个研究往往缺乏足够的统计效力。
我们通过进行一项荟萃分析来检验这种关联。两名研究者独立检索了谷歌学术、PubMed和中国知网数据库。在适当情况下,采用固定效应模型和随机效应模型计算19007T>C多态性与肺癌的汇总比值比(OR)和95%置信区间(95%CI)。使用Begg漏斗图评估发表偏倚。
总体而言,荟萃分析纳入了每项多态性的7项病例对照研究,总共3840例确诊肺癌病例和4712例健康对照。荟萃分析结果显示19007T>C多态性与肺癌风险之间存在显著关联(CC与TT比较:OR = 0.72,95%CI 0.53 - 0.99;CT与TT比较:OR = 0.84,95%CI 0.73 - 0.98;显性模型:OR = 0.70,95%CI 0.52 - 0.95)。按种族进行的进一步分层分析显示,在亚洲人群中存在统计学显著关联(显性模型:OR = 0.63,95%CI 0.43 - 0.93),但在欧洲人群中无显著关联。
这项荟萃分析表明,ERCC1基因19007T>C多态性可能与亚洲人群的肺癌风险相关,而需要开展更大规模的关联研究来进一步验证19007T>C多态性与肺癌风险的关联。