SynthesisAsian Pacific journal of cancer prevention : APJCP2025
Comprehensive Meta-Analysis of 28 miRNA-SNPs Reveals First Pooled Evidence for Five Variants Associated with Breast Cancer Susceptibility.
Synthesis in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundMicroRNA-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.
objectiveThis 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.
methodsA 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.
resultFive 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.
conclusionThis 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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