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Published in: Tumor Biology 12/2014

01-12-2014 | Research Article

Association between endothelial nitric oxide synthase 894G>T polymorphism and prostate cancer risk: a meta-analysis of literature studies

Authors: Cheng Zhao, Weiqian Yan, Xiongbing Zu, Minfeng Chen, Longfei Liu, Shushan Zhao, Hong Liu, Xia Hu, Renna Luo, Yang Xia, Lin Qi

Published in: Tumor Biology | Issue 12/2014

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Abstract

To date, several studies have been conducted to assess the association between endothelial nitric oxide synthase (eNOS) gene 894G > T polymorphism and prostate cancer (PCa) risk, but the results are conflicting. To derive a more precise estimation of the relationship between 894G > T polymorphism and PCa risk, the present meta-analysis was performed. A total of eight case–control studies were included in this meta-analysis. The pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated to evaluate the associations. Our results suggested that 894G > T polymorphism is associated with PCa risk under codominant (GT vs. GG) (OR = 1.11, 95 % CI = 1.01–1.22, P = 0.04) and overdominant (GT vs. GG + TT) (OR = 1.12, 95 % CI = 1.02–1.23, P = 0.02) models in the overall population, while there are no associations observed under dominant (GT + TT vs. GG), recessive (TT vs. GG + GT), and allelic (T vs. G) models. Moreover, when the eligible studies were stratified according to sources of control, significant association between 894G > T polymorphism and susceptibility of PCa was also identified under codominant (OR = 1.12, 95 % CI = 1.01–1.24, P = 0.03) and overdominant (OR = 1.13, 95 % CI = 1.02–1.25, P = 0.02) models when using healthy individuals as control. However, there are no significant associations found under any genetic models when using BPH patients as control group. In conclusion, the present meta-analysis suggested that the eNOS gene 894G > T polymorphism might be a risk factor in the onset of PCa.
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Metadata
Title
Association between endothelial nitric oxide synthase 894G>T polymorphism and prostate cancer risk: a meta-analysis of literature studies
Authors
Cheng Zhao
Weiqian Yan
Xiongbing Zu
Minfeng Chen
Longfei Liu
Shushan Zhao
Hong Liu
Xia Hu
Renna Luo
Yang Xia
Lin Qi
Publication date
01-12-2014
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 12/2014
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-014-2097-4

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