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Association of rs3787016 in Long Non-coding RNAs POLR2E and rs2910164 in MiRNA-146a with Prostate Cancer: A Systematic Review and Meta-analysis.


ABSTRACT: The aim of this study was to conduct a meta-analysis to estimate the association between the two SNPs and PCa risk.Medline, Embase, Scopus, PubMed, Web of Science, Wan Fang Database and Chinese Zhi Wang Database were searched for the association of the two SNPs with susceptibility to PCa. The effect size was pooled by odds ratios (ORs) and 95% confidence intervals (95% CIs).Nine case-control studies, 5 on rs3787016 and 4 on rs2910164, were included. As regards rs3787016, an increased risk of PCa was identified in all genotype models (T versus C: OR = 1.18, 95% CI 1.11-1.25; CT versus CC: OR = 1.17, 95% CI 1.08-1.26; TT versus CC: OR = 1.41, 95% CI 1.22-1.63; TT + CT versus CC: OR = 1.20, 95% CI 1.12-1.30; TT versus CT + CC: OR = 1.32, 95% CI 1.15-1.52). However, no significant association was found between rs2910164 and PCa risk in any genetic models, in fact a trend of reduced risk could be seen (C versus G: OR = 0.91, 95% CI 0.79-1.05; GC versus GG: OR = 0.93, 95% CI 0.74-1.18; CC versus GG: OR = 0.70, 95% CI 0.47-1.02; CC + GC versus GG: OR = 0.90, 95% CI 0.73-1.12; CC versus GC + GG: OR = 0.78, 95% CI 0.56-1.08). Besides, in analysis of subgroups by source of controls, the decreased results were observed in studies using population-based controls.lncRNA POLR2E polymorphism rs3787016 is associated with a significantly increased risk of PCa, while a trend of reduced risk appears with mir-146a polymorphism rs2910164.

SUBMITTER: Huang S 

PROVIDER: S-EPMC6005969 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Association of rs3787016 in Long Non-coding RNAs <i>POLR2E</i> and rs2910164 in MiRNA-146a with Prostate Cancer: A Systematic Review and Meta-analysis.

Huang Shuaishuai S   Cui Hui H   Lou Zhongguan Z   Wang Xue X   Chen Liangliang L   Xie Zhenhua Z   Hehir Michael M   Yao Xuping X   Ren Yu Y   Cen Dong D   Weng Guobin G  

Iranian journal of public health 20180501 5


<h4>Background</h4>The aim of this study was to conduct a meta-analysis to estimate the association between the two SNPs and PCa risk.<h4>Methods</h4>Medline, Embase, Scopus, PubMed, Web of Science, Wan Fang Database and Chinese Zhi Wang Database were searched for the association of the two SNPs with susceptibility to PCa. The effect size was pooled by odds ratios (ORs) and 95% confidence intervals (95% CIs).<h4>Results</h4>Nine case-control studies, 5 on rs3787016 and 4 on rs2910164, were inclu  ...[more]

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