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五种 microRNAs(rs2910164、rs11614913、rs3746444、rs11134527 和 rs531564)的基因变异与宫颈癌风险的关联:荟萃分析。

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

机构信息

Department of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.

出版信息

Biomed Res Int. 2021 Mar 15;2021:9180874. doi: 10.1155/2021/9180874. eCollection 2021.

DOI:10.1155/2021/9180874
PMID:33816633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7987420/
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 -test combined with the inconsistency index ( ) 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, = 0.887), dominant model (GC/CC vs. GG: OR = 1.38, 95% CI: 1.07-1.80, = 0.409), and recessive model (CC vs. GC/GG: OR = 2.26, 95% CI: 1.58-3.23, = 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.

摘要

本研究旨在进行荟萃分析,系统总结和探讨 miRNA-124 rs531564、miRNA-218 rs11134527、miRNA-146a rs2910164、miRNA-196a2 rs11614913 和 miRNA-499 rs3746444 多态性与宫颈癌的相关性。通过 Embase 和 PubMed 数据库进行系统综述以确定相关研究。使用基于卡方的检验和不一致指数( )来检验研究之间的异质性。共纳入了 rs2910164 和 rs11614913 的 6 项病例对照研究、rs3746444 和 rs11134527 的 4 项研究以及 rs531564 的 3 项研究。在所有遗传模型中,miR-146a rs2910164、miR-196a2 rs11614913、miRNA-499 rs3746444 和 miR-218 rs11134527 多态性与宫颈癌风险之间均未发现关联。miR-124 rs531564 多态性与宫颈癌的发生风险呈统计学显著相关,在纯合子模型(CC 与 GG:OR = 2.87,95%CI:1.40-5.91, = 0.887)、显性模型(GC/CC 与 GG:OR = 1.38,95%CI:1.07-1.80, = 0.409)和隐性模型(CC 与 GC/GG:OR = 2.26,95%CI:1.58-3.23, = 0.979)中均如此。然而,由于样本量有限且存在异质性,该发现应谨慎解释。需要进行大规模和精心设计的研究来验证我们的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/f8922d8c3833/BMRI2021-9180874.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/17260b837bf9/BMRI2021-9180874.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/a80c03bdc450/BMRI2021-9180874.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/0199baf4e48d/BMRI2021-9180874.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/3c6fe016fc87/BMRI2021-9180874.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/b5f83dd3e984/BMRI2021-9180874.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/f8922d8c3833/BMRI2021-9180874.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/17260b837bf9/BMRI2021-9180874.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/a80c03bdc450/BMRI2021-9180874.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/0199baf4e48d/BMRI2021-9180874.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/3c6fe016fc87/BMRI2021-9180874.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/b5f83dd3e984/BMRI2021-9180874.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a1/7987420/f8922d8c3833/BMRI2021-9180874.006.jpg

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