title: Association between microRNA polymorphisms and cancer risk based on the findings of 66 case-control studies.
abstract: MicroRNAs (miRNAs) are small non-coding RNA molecules, which participate in diverse biological processes and may regulate tumor suppressor genes or oncogenes. Single nucleotide polymorphisms (SNPs) in miRNA may contribute to diverse functional consequences, including cancer development, by altering miRNA expression. Numerous studies have shown the association between miRNA SNPs and cancer risk; however, the results are generally debatable and inconclusive, mainly due to limited statistical power. To assess the relationship between the five most common SNPs (miR-146a rs2910164, miR-196a2 rs11614913, miR-499 rs3746444, miR-149 rs2292832, and miR-27a rs895919) and the risk cancer development, we performed a meta-analysis of 66 published case-control studies. Crude odds ratios at 95% confidence intervals were used to investigate the strength of the association. No association was observed between rs2910164 and cancer risk in the overall group. However, in stratified analysis, we found that either the rs2910164 C allele or the CC genotype was protective against bladder cancer, prostate cancer, cervical cancer, and colorectal cancer, whereas it was a risk factor for papillary thyroid carcinoma and squamous cell carcinoma of the head and neck (SCCHN). Further, rs11614913 was found to be significantly associated with decreased cancer risk, in particular, for bladder cancer, gastric cancer, and SCCHN. For miR-499, a significant association was found between the rs3746444 polymorphism and cancer risk in pooled analysis. In subgroup analysis, similar results were mainly observed for breast cancer. Finally, no association was found between rs2292832 and rs895919 polymorphisms and cancer risk in the overall group and in stratified analysis. In summary, miR-196a2 rs11614913, miR-146a rs2910164, and miR-499 rs3746444 are risk factors for cancer development, whereas mir-149 rs2292832 and miR-27a rs895919 are not associated with cancer risk.
authors.affiliation: State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Xiao Pin
authors.initials: XP
authors.lastname: Ma
authors.forename: Ting
authors.initials: T
authors.lastname: Zhang
authors.forename: Bo
authors.initials: B
authors.lastname: Peng
authors.forename: Long
authors.initials: L
authors.lastname: Yu
authors.forename: De Ke
authors.initials: de K
authors.lastname: Jiang
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics; D002277:Carcinoma / Q000235:genetics; D002291:Carcinoma, Papillary; D002294:Carcinoma, Squamous Cell / Q000235:genetics; D016022:Case-Control Studies; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics; D005838:Genotype; D006258:Head and Neck Neoplasms / Q000235:genetics; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011471:Prostatic Neoplasms / Q000235:genetics; D000077195:Squamous Cell Carcinoma of Head and Neck; D013274:Stomach Neoplasms / Q000235:genetics; D000077273:Thyroid Cancer, Papillary; D013964:Thyroid Neoplasms / Q000235:genetics; D001749:Urinary Bladder Neoplasms / Q000235:genetics
chemical_list: D035683:MicroRNAs