miR-146a G>C基因多态性与中国原发性肝癌患者遗传易感性的Meta分析

Association study of miR-146a G>C polymorphisms with susceptibility of hepatocellular carcinoma in the Chinese population:a Meta-analysis

目的:对国内外公开发表的中国原发性肝癌与miR-146a G>C(rs2910164)遗传易感性的相关文献进行Meta分析。方法:检索Pub Med数据库、Cochrane Library数据库、中国学术期刊全文数据库(CNKI)和万方数据库获得文献。检索时限为自建库至2017年3月。采用Stata 12.0软件进行Meta分析,计算各基因型的合并比值比(OR)及95%置信区间(CI)。结果:共纳入9篇病例对照研究,累计病例组3 937例,健康对照组5 025例,研究间存在中等强度的异质性。固定效应的合并OR值及95%CI在显性模型[(GG+GC)/CC]和隐性模型[GG/(GC+CC)]分别为1.26(1.12,1.41)(P=0.00)和1.23(1.12,1.34)(P=0.00),随机效应等位模型(G/C)为1.17(1.10,1.25)(P=0.00)。Meta回归分析发现显性模型样本的地域来源与合并OR值正相关。亚组分析表明,在中东人群和西部人群及采用PCR-RFLP分型时,miR-146a G>C与原发性肝癌的遗传易感性密切相关;而在西南人群和采用非PCR-RFLP(Non-PCR-RFLP)分型时无明显相关性。三个基因型的敏感性分析结果稳定,也没有发表偏倚。结论:miR-146a G>C与原发性肝癌的遗传易感性密切相关,携带G等位的个体有更高的发病风险,该位点基因多态性具有成为原发性肝癌的生物标记物的潜能。

AIM： This Meta-analysis including only Chinese primary hepatocellular carcinoma （PHC） patients was conducted to assess the associations of miR-146a G 〉 C （rs2910164） with PHC risk. METHODS：Literatures were researched using PubMed, Cochrane Library, Wanfang and China National Knowledge Infrastructure （CNKI） databases to identify relevant studies from the establishment of database to March 2017. Stata software （version 12.0） was used to check odds ratio （OR） and 95% confidence interval （CI）. RESULTS： A total of nine published case studies were included in this Meta-analysis, which included 3 937 cases and 5 025 controls. The result suggested SNP was associated with PHC risk in dominant model [ （GG ＋ GC）/CC][1.26, （1.12-1.41）, P=0.00], recessive model[GG/（GC ＋ CC）] [1.23, （1.12- 1.34）, P = 0.00 J and allele model （ G/C ） [ 1.17,（ 1.10-1.25 ） , P = 0.00 ] under random effect and fixed effect. Heterogeneity was found among and within studies. Meta regression indicated that the effect size was positively correlated with sample region in dominant model. Subgroup analysis revealed a significant association of this SNP with PHC risk among studies of people from middle-eastern and western area and people using PCR-RFLP, but no such association was found using Non-PCR-RFLP and in studies of people from southwestern area. Three genotypes presented stable sensitivity and absent publication bias. CONCLUSION ：miR-146a G 〉 C is associated with PHC risk in Chinese population, and G allelic increased the PHC risk, this SNP may be a biomarker for PHC occurrence.