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Comprehensive Meta-Analysis of 28 miRNA-SNPs Reveals First Pooled Evidence for Five Variants Associated with Breast
Thanh Thi Ngoc Nguyen1,2,3, Thuy Thi Chung Duong2,3, Hue Thi Nguyen1,2,3
1Department of Physiology and Animal Biotechnology, Faculty of Biology and Biotechnology, University of Science, Ho Chi Minh City, Vietnam.
Asian Pacific Journal of Cancer Prevention : APJCP
|December 29, 2025
Summary
This meta-analysis confirms known and identifies five novel microRNA-related single nucleotide polymorphisms (miRNA-SNPs) associated with breast cancer risk. These genetic variants may improve polygenic risk models for precision prevention strategies.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- MicroRNA-related single nucleotide polymorphisms (miRNA-SNPs) impact gene regulation and breast cancer susceptibility.
- Previous studies on miRNA-SNPs and breast cancer risk lack comprehensive pooled evidence for many variants.
Purpose of the Study:
- To conduct a meta-analysis of miRNA-SNPs and their association with breast cancer risk.
- To include novel miRNA-SNPs not previously examined in pooled analyses.
Main Methods:
- Systematic literature search of major databases up to July 2024.
- Inclusion of 58 case-control studies covering 28 miRNA-SNPs.
- Calculation of pooled odds ratios (ORs) and 95% confidence intervals (CIs) under various genetic models.
- Exploration of heterogeneity and robustness through meta-regression and sensitivity analyses.
Main Results:
- Five established miRNA-SNPs (rs11614913, rs895819, rs3746444, rs2910164, rs2043556) showed significant breast cancer risk associations.
- Five novel miRNA-SNPs (rs1053872, rs2018562, rs5750504, rs2682818, rs353291) were significantly associated with breast cancer risk for the first time.
- Identified functional links to PI3K/AKT, NF-κB, and EGFR pathways; genotyping method contributed significantly to heterogeneity.
- Observed population-specific associations, with rs2910164 significant globally; results were robust in sensitivity analyses.
Conclusions:
- This meta-analysis provides the first pooled evidence for five novel miRNA-SNPs linked to breast cancer susceptibility.
- Findings confirm established genetic risk variants and introduce new population-specific markers.
- Results may inform the development of polygenic risk models and precision prevention strategies for breast cancer.
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