Abstract

Accumulating evidence has demonstrated that some single nucleotide polymorphisms (SNPs) existing in miRNAs correlate with the susceptibility to urological cancers. However, a clear consensus still not reached due to the limited statistical power in individual study. Thus, we concluded a meta-analysis to systematically evaluate the association between microRNA SNPs and urological cancer risk. Eligible studies were collected from PubMed, Embase, Web of Science, and CNKI databases. Pooled odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated to assess the strength of the relationships between three SNPs (miR-196a2, C>T rs11614913; miR-146a, G>C rs2910164; and miR-499, A>G rs3746444) and the risk of urological cancers. In addition, the stability of our analysis was evaluated by publication bias, sensitivity and heterogeneity analysis. Overall, a total of 17,019 subjects from 14 studies were included in this meta-analysis. We found that CT (miR-196a2, C>T rs11614913) was a risk factor for renal cell carcinoma (CT vs. CC: OR = 1.72, 95%CI = 1.05–2.80, P = 0.03, I2 = 66%), especially in Asian population (CT vs. CC: OR = 1.17, 95%CI = 1.04–1.32, P < 0.01, I2 = 0%). miR-146a G>C rs2910164 was a protective factor of urological cancers (C vs. G: OR = 0.87, 95%CI = 0.81–0.93, P < 0.01, I2 = 0%), especially for bladder cancer. miR-499 A>G rs3746444 was correlated with an increased risk of urological cancers, specifically in Asian population. In conclusion, our meta-analysis suggests that polymorphisms in microRNAs, miR-196a2, C>T rs11614913, miR-146a G>C rs2910164 and miR-499 A>G rs3746444, may be associated with the development of urological cancers and the risks mainly exist in Asian populations.

Highlights

  • Urological cancers, which consist of prostate cancer (PCa), bladder cancer (BC), and renal cell cancer (RCC) are common malignancies with increasing incidence and mortality worldwide (Torre et al, 2015)

  • The results demonstrated that miR146a rs2910164 G>C was a significantly reduced urological cancer risk, especially for bladder cancer, which is in agreement with the work conducted by Ma et al (2013)

  • Since single nucleotide polymorphisms (SNPs) in micro RNAs (miRNAs) genes could potentially influence the miRNA biogenesis and alter target selection (Georges et al, 2007), increasing attention has been paid to evaluate the correlation between the polymorphisms in microRNAs and cancer risk (Ryan et al, 2010)

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Summary

INTRODUCTION

Urological cancers, which consist of prostate cancer (PCa), bladder cancer (BC), and renal cell cancer (RCC) are common malignancies with increasing incidence and mortality worldwide (Torre et al, 2015). SNPs in miRNAs (miR-SNPs) have been confirmed to be associated with urological cancer risks in different studies (Chirila et al, 2015; Filella and Foj, 2016). We performed a meta-analysis of the related publications to systematically evaluate the association between these miR-SNPs and cancer risk, which may with the potential to be used as clinical parameters for assessing the risk of occurrence, development, as well as for response to treatment of urological cancers (Ryan et al, 2010; Eeles et al, 2014; Shukla et al, 2016). If the obtained studies fulfilled the following criteria, they were identified eligible: (1) case-control design; (2) research on the association between polymorphisms in microRNAs and risk of urological cancer; (3) sufficient published genotype frequencies data to estimate the odds ratio (OR) and 95% confidence interval (CI). A study with a score of ≥6 was defined as high quality, meantime one with a score

Literature Search Strategy
STATISTICAL METHODS
Genotyping methods
DESIGN
RESULTS
Findings
DISCUSSION
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