The Association between Four Common Polymorphisms in  microRNA and Risk of Hepatocellular Carcinoma: An Updated Meta-Analysis

Mingxing  Chen; Yu  Lu; Xinyang  Wang; Simeng Qin; Huaping  Chen; Liuyi   Lu; Xue  Qin

doi:10.18502/ijph.v52i11.14027

Mingxing Chen Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
Yu Lu Department of Laboratory Medicine, Liuzhou People’s Hospital, Liuzhou 545006, Guangxi, China
Xinyang Wang Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
Simeng Qin Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
Huaping Chen Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
Liuyi Lu Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
Xue Qin Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China

DOI: https://doi.org/10.18502/ijph.v52i11.14027

Keywords: Hepatocellular carcinoma; MicroRNA; Polymorphism; Susceptibility; Meta-analysis

Abstract

Background: Many epidemiological studies have explored the relationship between single-nucleotide polymorphism and hepatocellular carcinoma (HCC). However, the results remain controversial. We performed a large-scale meta-analysis to draw a more precise estimation of the aforementioned association.

Methods: Studies on the association between microRNA (MIR) polymorphisms and HCC risk that had been published up to Sep 30, 2021 were identified by searching the PubMed, Cochrane Library, Google Scholar, Web of Science, and Chinese Biomedical Literature electronic databases and the Excerpta Medical Database. The association between MIR polymorphisms and HCC risk was assessed using odds ratios (ORs) and their 95% confidence intervals (CIs).

Results: Overall, 29 studies, with a total of 9,263 cases and 10,875 controls, were included in our meta-analysis. MicroRNA149 (MIR149) significantly decreased the risk of developing HCC on the overall population (homozygous model CC vs. TT: OR = 0.703, 95% CI = 0.549-0.899, P = 0.005), and microRNA 196 (MIR196) significantly decreased the risk of developing HCC on the overall population (recessive model TT vs. CT+CC: OR = 0.864, 95% CI = 0.751-0.993, P = 0.04) and on Caucasians (OR = 0.613, 95% CI = 0.414-0.907, P = 0.014).

Conclusion: The MIR149 and MIR196 polymorphisms are the protect factors of developing HCC. The conduct of multi-center and multi-region studies with gene-gene, gene-environment should be considered.