Zhang Qimeng, Xu Xueying, Wu Mingcheng, Qin Tiantian, Wu Shaoning, Liu Hongbo
Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
Front Oncol. 2021 Jan 19;10:562019. doi: 10.3389/fonc.2020.562019. eCollection 2020.
Hepatocellular carcinoma (HCC) is an intractable public health threat worldwide, representing the second leading cause of cancer-related mortality, with limited early detection and therapeutic options. Recent findings have revealed that the susceptibility of HCC is closely related to microRNA (miRNA). We performed this systematic review with a network meta-analysis to investigated four single nucleotide polymorphisms (SNPs) that most regularly reported in miRNAs, exploring their involvement in HCC susceptibility and interaction with hepatitis B virus (HBV).
Databases were reviewed for related studies published up to May 2019 to identify all studies that compared genotypes of miR-146a rs2910164, miR-149 rs2292832, miR-196a2 rs11614913, and miR-499 rs3746444 with no language and date restrictions. A pairwise meta-analysis was performed to estimate pooled odds ratios and 95% confidence intervals incorporating heterogeneity to assess the relationship between four miRNA polymorphisms and HCC. To further clarify the effect of polymorphisms on HCC, a Bayesian network meta-analysis was conducted to combine the effective sizes of direct and indirect comparisons. Calculations were performed by R version 3.6.1 and STATA 14.0. All steps were performed according to PRISMA guidelines.
A total of 20 studies were enrolled in this network meta-analysis, providing 5,337 hepatocellular carcinoma cases and 6,585 controls. All included studies had an acceptable quality. Pairwise meta-analysis demonstrated that miR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, while the other three SNPs were not found to have a significant association. In the analysis of HCC patients under different HBV infection status, only miR-196a2 revealed correlation of threefold risk. The network results showed no significant difference in the distribution of genotype frequencies except for miR-196a2, which appeared to have the highest superiority index when comparing and ranking four SNPs.
MiR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, especially for HBV- related HCC, and that individuals with TC/CC were more susceptible. No significant association was found in the other three miRNA genes. MiR-196a2 could serve as the best predictor of susceptibility in HCC.
肝细胞癌(HCC)是全球范围内难以应对的公共卫生威胁,是癌症相关死亡的第二大主要原因,早期检测和治疗选择有限。最近的研究发现表明,HCC的易感性与微小RNA(miRNA)密切相关。我们进行了这项系统评价和网络荟萃分析,以研究在miRNA中最常报道的四个单核苷酸多态性(SNP),探讨它们在HCC易感性中的作用以及与乙型肝炎病毒(HBV)的相互作用。
检索截至2019年5月发表的相关研究数据库,以识别所有比较miR-146a rs2910164、miR-149 rs2292832、miR-196a2 rs11614913和miR-499 rs3746444基因型的研究,无语言和日期限制。进行成对荟萃分析以估计合并比值比和95%置信区间,并纳入异质性以评估四个miRNA多态性与HCC之间的关系。为了进一步阐明多态性对HCC的影响,进行了贝叶斯网络荟萃分析以合并直接和间接比较的效应大小。计算由R 3.6.1版和STATA 14.0完成。所有步骤均按照PRISMA指南进行。
本网络荟萃分析共纳入20项研究,提供了5337例肝细胞癌病例和6585例对照。所有纳入研究的质量均可接受。成对荟萃分析表明,miR-196a2 rs11614913与HCC易感性显著相关,而其他三个SNP未发现有显著关联。在不同HBV感染状态的HCC患者分析中,只有miR-196a2显示出三倍风险的相关性。网络结果显示,除miR-196a2外,基因型频率分布无显著差异,miR-196a2在比较和排序四个SNP时似乎具有最高的优势指数。
MiR-196a2 rs11614913与HCC易感性显著相关,尤其是对于HBV相关的HCC,TC/CC基因型个体更易感性。其他三个miRNA基因未发现显著关联。MiR-196a2可作为HCC易感性的最佳预测指标。