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Meta-Analysis
. 2021 Mar 15:2021:9180874.
doi: 10.1155/2021/9180874. eCollection 2021.

The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis

Jia Liu  1 , Peng Dong  1 , Liane Zhou  1 , Shijun Wang  1
Affiliations
Meta-Analysis

The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis

Jia Liu et al. Biomed Res Int. .

Abstract

The objective of this study was to conduct a meta-analysis to systematically summarize and investigate the association of miRNA-124 rs531564, miRNA-218 rs11134527, miRNA-146a rs2910164, miRNA-196a2 rs11614913, and miRNA-499 rs3746444 polymorphisms with cervical cancer. A systematic review was performed to identify relevant studies using Embase and PubMed databases. A chi-square-based Q-test combined with the inconsistency index (I 2) was used to check the heterogeneity between studies. A total of six case-control studies on rs2910164 and rs11614913, 4 studies on rs3746444 and rs11134527, and three studies on rs531564 were included. No evidence of association was found between miR-146a rs2910164, miR-196a2 rs11614913, miRNA-499 rs3746444, and miR-218 rs11134527 polymorphisms and cervical cancer risk in all the genetic models. The miR-124 rs531564 polymorphism was associated with a statistically increased risk of cervical cancer in a homozygote model (CC vs. GG: OR = 2.87, 95% CI: 1.40-5.91, P H = 0.887), dominant model (GC/CC vs. GG: OR = 1.38, 95% CI: 1.07-1.80, P H = 0.409), and recessive model (CC vs. GC/GG: OR = 2.26, 95% CI: 1.58-3.23, P H = 0.979). However, this finding should be interpreted with caution for limited samples and heterogeneity. Large-scale and well-designed studies are needed to validate our result.

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Conflict of interest statement

The authors declare that there are no conflicts of interest associated with the manuscript.

Figures

Figure 1
Figure 1
Flow chart of study selection.
Figure 2
Figure 2
(a) Forest plot of allele comparison of miRNA-146a rs2910164 for overall comparison (C versus G). (b) Forest plot of allele comparison of miRNA-146a rs2910164 for overall comparison (C versus G).
Figure 3
Figure 3
(a) Forest plot of allele comparison of miRNA-196a2 rs11614913 for overall comparison (T versus C). (b) Forest plot of allele comparison of miRNA-196a2 rs11614913 for overall comparison (T versus C).
Figure 4
Figure 4
(a) Forest plot of allele comparison of miRNA-499 rs3746444 for overall comparison (G versus A). (b) Forest plot of allele comparison of miRNA-499 rs3746444 for overall comparison (G versus A).
Figure 5
Figure 5
Forest plot of allele comparison of miR-218 rs11134527 for overall comparison (G versus A). (b) Forest plot of allele comparison of miR-218 rs11134527 for overall comparison (G versus A).
Figure 6
Figure 6
Forest plot of homozygote comparison of miR-124 rs531564 for overall comparison (CC versus GG).
See this image and copyright information in PMC

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