Xu Liping, Tang Wenru
Laboratory of Molecular Genetics of Aging and Tumor, Medical Faculty, Kunming University of Science and Technology, Kunming, Yunnan, China.
Cancer Biomark. 2015;15(1):57-63. doi: 10.3233/CBM-140433.
Many studies have explored the associations between microRNAs (miRNAs) polymorphisms and lung cancer susceptibility. However, due to their limited statistical sizes, some discrepancies were discovered in these studies. This article summarized eligible studies to identify the roles of miRNAs polymorphisms in lung cancer, and analyzed the associations of polymorphisms in mir-196a2, mir-146a and mir-149 with lung cancer risk respectively.
The PubMed, Web of Science, ScienceDirect and CNKI databases were searched updated to May 30, 2014. The complete data of three miRNAs polymorphisms for lung cancer were analyzed by odd ratios (ORs) and 95% confidence intervals (CIs). Finally, four studies about mir-196a2 single nucleotide polymorphism (SNP), two studies about mir-146a SNP, three studies about mir-149 SNP were investigated in this analysis.
The mir-196a2 polymorphism was revealed to be associated with lung cancer susceptibility (additive model: OR=1.120, 95%CI 1.030 ∼ 1.217, P=0.008; dominant model: OR=1.118, 95%CI 1.039 ∼ 1.357, P=0.011; recessive model: OR=1.133, 95%CI 0.987 ∼ 1.300, P=0.077). However, no relationships were discovered between mir-146a or mir-149 polymorphism and lung cancer risk.
This meta-analysis demonstrates that mir-196a2 SNP influences the susceptibility of lung cancer. Mir-146a and mir-149 SNP do not play a role in lung cancer risk. These findings need more validation by larger studies.
许多研究探讨了微小RNA（miRNA）多态性与肺癌易感性之间的关联。然而，由于样本量有限，这些研究中发现了一些差异。本文总结了相关研究以确定miRNA多态性在肺癌中的作用，并分别分析了mir-196a2、mir-146a和mir-149基因多态性与肺癌风险的关联。
检索截至2014年5月30日的PubMed、Web of Science、ScienceDirect和CNKI数据库。采用比值比（OR）和95%置信区间（CI）分析肺癌三种miRNA多态性的完整数据。最终，本分析纳入了四项关于mir-196a2单核苷酸多态性（SNP）的研究、两项关于mir-146a SNP的研究和三项关于mir-149 SNP的研究。
mir-196a2基因多态性与肺癌易感性相关（相加模型：OR=1.120，95%CI 1.030～1.217，P=0.008；显性模型：OR=1.118，95%CI 1.039～1.357，P=0.011；隐性模型：OR=1.133，95%CI 0.987～1.300，P=0.077）。然而，未发现mir-146a或mir-149基因多态性与肺癌风险之间存在关联。
这项荟萃分析表明，mir-196a2 SNP影响肺癌易感性。Mir-146a和mir-149 SNP在肺癌风险中不起作用。这些发现需要更多大规模研究的验证。
