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微小RNA多态性与肝细胞癌易感性:系统评价与网状Meta分析

MiRNA Polymorphisms and Hepatocellular Carcinoma Susceptibility: A Systematic Review and Network Meta-Analysis.

作者信息

Zhang Qimeng, Xu Xueying, Wu Mingcheng, Qin Tiantian, Wu Shaoning, Liu Hongbo

机构信息

Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.

出版信息

Front Oncol. 2021 Jan 19;10:562019. doi: 10.3389/fonc.2020.562019. eCollection 2020.

Abstract

BACKGROUND

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).

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ba/7851082/6813bb9e0ad7/fonc-10-562019-g001.jpg

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