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Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects

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-analysi...

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Autores principales: Wang, Yu-Hui, Hu, Han-Ning, Weng, Hong, Chen, Hao, Luo, Chang-Liang, Ji, Jia, Yin, Chang-Qing, Yuan, Chun-Hui, Wang, Fu-Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437731/
https://www.ncbi.nlm.nih.gov/pubmed/28579964
http://dx.doi.org/10.3389/fphys.2017.00325
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author Wang, Yu-Hui
Hu, Han-Ning
Weng, Hong
Chen, Hao
Luo, Chang-Liang
Ji, Jia
Yin, Chang-Qing
Yuan, Chun-Hui
Wang, Fu-Bing
author_facet Wang, Yu-Hui
Hu, Han-Ning
Weng, Hong
Chen, Hao
Luo, Chang-Liang
Ji, Jia
Yin, Chang-Qing
Yuan, Chun-Hui
Wang, Fu-Bing
author_sort Wang, Yu-Hui
collection PubMed
description 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, I(2) = 66%), especially in Asian population (CT vs. CC: OR = 1.17, 95%CI = 1.04–1.32, P < 0.01, I(2) = 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, I(2) = 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.
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spelling pubmed-54377312017-06-02 Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects Wang, Yu-Hui Hu, Han-Ning Weng, Hong Chen, Hao Luo, Chang-Liang Ji, Jia Yin, Chang-Qing Yuan, Chun-Hui Wang, Fu-Bing Front Physiol Physiology 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, I(2) = 66%), especially in Asian population (CT vs. CC: OR = 1.17, 95%CI = 1.04–1.32, P < 0.01, I(2) = 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, I(2) = 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. Frontiers Media S.A. 2017-05-19 /pmc/articles/PMC5437731/ /pubmed/28579964 http://dx.doi.org/10.3389/fphys.2017.00325 Text en Copyright © 2017 Wang, Hu, Weng, Chen, Luo, Ji, Yin, Yuan and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Wang, Yu-Hui
Hu, Han-Ning
Weng, Hong
Chen, Hao
Luo, Chang-Liang
Ji, Jia
Yin, Chang-Qing
Yuan, Chun-Hui
Wang, Fu-Bing
Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title_full Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title_fullStr Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title_full_unstemmed Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title_short Association between Polymorphisms in MicroRNAs and Risk of Urological Cancer: A Meta-Analysis Based on 17,019 Subjects
title_sort association between polymorphisms in micrornas and risk of urological cancer: a meta-analysis based on 17,019 subjects
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437731/
https://www.ncbi.nlm.nih.gov/pubmed/28579964
http://dx.doi.org/10.3389/fphys.2017.00325
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