Comprehensive Meta-Analysis of 28 miRNA-SNPs Reveals First Pooled Evidence for Five Variants Associated with Breast Cancer Susceptibility

Nguyen, Thanh Thi Ngoc; Duong, Thuy Thi Chung; Nguyen, Hue Thi

doi:10.31557/APJCP.2025.26.12.4433

Comprehensive Meta-Analysis of 28 miRNA-SNPs Reveals First Pooled Evidence for Five Variants Associated with Breast Cancer Susceptibility

Document Type : Systematic Review and Meta-analysis

Authors

¹ Department of Physiology and Animal Biotechnology, Faculty of Biology and Biotechnology, University of Science, Ho Chi Minh City, Vietnam.

² Human Genetic Laboratory, Faculty of Biology and Biotechnology, University of Science, Ho Chi Minh City, Vietnam.

³ Vietnam National University, Ho Chi Minh City, Vietnam.

10.31557/APJCP.2025.26.12.4433

Abstract

Background: MicroRNA-related single nucleotide polymorphisms (miRNA-SNPs) influence post-transcriptional gene regulation and may contribute to breast cancer susceptibility. Individual case–control studies have evaluated several miRNA-SNPs, but there is limited or no pooled evidence available for many variants. Objective: This study aimed to conduct a comprehensive meta-analysis of miRNA-SNPs and their associations with breast cancer risk, including novel variants not previously examined in pooled analyses. Methods: A systematic search of PubMed, Scopus, Web of Science, and Google Scholar up to July 2024 identified eligible case–control studies. Fifty-eight studies involving 28 miRNA-SNPs were included. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated under multiple genetic models. Subgroup analyses were conducted using population and genotyping methods. Heterogeneity was explored using meta-regression, and robustness was assessed via leave-one-out sensitivity analyses. Result: Five previously established SNPs-rs11614913, rs895819, rs3746444, rs2910164, and rs2043556 showed significant associations with breast cancer risk. Additionally, five novel variants rs1053872, rs2018562, rs5750504, rs2682818, and rs353291-were identified as significantly associated for the first time. These SNPs are functionally linked to PI3K/AKT, NF-κB, and EGFR signaling pathways. The genotyping method was the major contributor to heterogeneity (R² = 41.16%). Population-specific associations were observed, with rs2910164 significant across four continents. Most associations were stable in sensitivity analyses. Conclusion: This meta-analysis is the first to provide pooled evidence for five novel miRNA-SNPs associated with breast cancer susceptibility. The findings confirm key genetic variants and reveal new population-specific markers that may inform polygenic risk models and precision prevention strategies.

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