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The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis
BACKGROUND: Previous studies have investigated the relationship between GSTA1, GSTM1, GSTP1, and GSTT1 polymorphisms and bladder cancer (BCa) susceptibility, respectively, but the results remain inconsistent. So, we conducted this meta-analysis including 79 case–control studies to explore such relat...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402607/ https://www.ncbi.nlm.nih.gov/pubmed/27631264 http://dx.doi.org/10.1097/MD.0000000000004900 |
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author | Yu, Yajie Li, Xiao Liang, Chao Tang, Jingyuan Qin, Zhiqiang Wang, Chengming Xu, Weizhang Hua, Yibo Shao, Pengfei Xu, Ting |
author_facet | Yu, Yajie Li, Xiao Liang, Chao Tang, Jingyuan Qin, Zhiqiang Wang, Chengming Xu, Weizhang Hua, Yibo Shao, Pengfei Xu, Ting |
author_sort | Yu, Yajie |
collection | PubMed |
description | BACKGROUND: Previous studies have investigated the relationship between GSTA1, GSTM1, GSTP1, and GSTT1 polymorphisms and bladder cancer (BCa) susceptibility, respectively, but the results remain inconsistent. So, we conducted this meta-analysis including 79 case–control studies to explore such relationships. METHODS: We searched PubMed, EMBASE, Cochrane library, Web of Science, and CNKI for relevant available studies. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were implemented to evaluate the intensity of associations. Publication bias was estimated using Begg funnel plots and Egger regression test. To assess the stability of the results, we used sensitivity analysis with the method of calculating the results again by omitting 1 single study each time. Between-study heterogeneity was tested using the I(2) statistic. RESULTS: No significant association between GSTA1 polymorphism and BCa susceptibility (OR = 1.05, 95% CI 0.83–1.33) was noted. Besides, meaningful association between individuals who carried the GSTM1 null genotype and increased BCa risk was detected (OR = 1.39, 95%CI 1.28–1.51). When stratified by ethnicity, significant difference was found in both Caucasian (OR = 1.39, 95% CI 1.23–1.58) and Asian populations (OR = 1.45, 95% CI 1.31–1.61). Moreover, in the subgroup analysis by source of controls (SOC), the results were significant in both hospital-based control groups (OR = 1.49, 95% CI 1.35–1.64) and population-based control groups (OR = 1.21, 95% CI = 1.07–1.37). Additionally, the analysis revealed no significant association between GSTP1 polymorphism and BCa risk (OR = 1.07, 95% CI 0.96–1.20). What is more, significant associations between GSTT1 polymorphism and BCa susceptibility were discovered (OR = 1.11, 95% CI 1.00–1.22). In the subgroup analysis by ethnicity, significant associations between GSTT1 null genotype and BCa risk were observed only in Caucasians (OR = 1.25, 95% CI 1.09–1.44). Furthermore, when stratified by SOC, no obvious relationship was found between the GSTT1 null genotype polymorphism with hospital-based population (OR = 1.11, 95% CI 0.97–1.28) or population-based population (OR = 1.10, 95% CI 0.96–1.27). CONCLUSION: This study suggested that GSTM1 null genotype and GSTT1 null genotype might be related to higher BCa risk, respectively. However, no associations were observed between GSTA1 or GSTP1 polymorphisms and BCa susceptibility. |
format | Online Article Text |
id | pubmed-5402607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-54026072017-04-27 The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis Yu, Yajie Li, Xiao Liang, Chao Tang, Jingyuan Qin, Zhiqiang Wang, Chengming Xu, Weizhang Hua, Yibo Shao, Pengfei Xu, Ting Medicine (Baltimore) 7300 BACKGROUND: Previous studies have investigated the relationship between GSTA1, GSTM1, GSTP1, and GSTT1 polymorphisms and bladder cancer (BCa) susceptibility, respectively, but the results remain inconsistent. So, we conducted this meta-analysis including 79 case–control studies to explore such relationships. METHODS: We searched PubMed, EMBASE, Cochrane library, Web of Science, and CNKI for relevant available studies. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were implemented to evaluate the intensity of associations. Publication bias was estimated using Begg funnel plots and Egger regression test. To assess the stability of the results, we used sensitivity analysis with the method of calculating the results again by omitting 1 single study each time. Between-study heterogeneity was tested using the I(2) statistic. RESULTS: No significant association between GSTA1 polymorphism and BCa susceptibility (OR = 1.05, 95% CI 0.83–1.33) was noted. Besides, meaningful association between individuals who carried the GSTM1 null genotype and increased BCa risk was detected (OR = 1.39, 95%CI 1.28–1.51). When stratified by ethnicity, significant difference was found in both Caucasian (OR = 1.39, 95% CI 1.23–1.58) and Asian populations (OR = 1.45, 95% CI 1.31–1.61). Moreover, in the subgroup analysis by source of controls (SOC), the results were significant in both hospital-based control groups (OR = 1.49, 95% CI 1.35–1.64) and population-based control groups (OR = 1.21, 95% CI = 1.07–1.37). Additionally, the analysis revealed no significant association between GSTP1 polymorphism and BCa risk (OR = 1.07, 95% CI 0.96–1.20). What is more, significant associations between GSTT1 polymorphism and BCa susceptibility were discovered (OR = 1.11, 95% CI 1.00–1.22). In the subgroup analysis by ethnicity, significant associations between GSTT1 null genotype and BCa risk were observed only in Caucasians (OR = 1.25, 95% CI 1.09–1.44). Furthermore, when stratified by SOC, no obvious relationship was found between the GSTT1 null genotype polymorphism with hospital-based population (OR = 1.11, 95% CI 0.97–1.28) or population-based population (OR = 1.10, 95% CI 0.96–1.27). CONCLUSION: This study suggested that GSTM1 null genotype and GSTT1 null genotype might be related to higher BCa risk, respectively. However, no associations were observed between GSTA1 or GSTP1 polymorphisms and BCa susceptibility. Wolters Kluwer Health 2016-09-16 /pmc/articles/PMC5402607/ /pubmed/27631264 http://dx.doi.org/10.1097/MD.0000000000004900 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 7300 Yu, Yajie Li, Xiao Liang, Chao Tang, Jingyuan Qin, Zhiqiang Wang, Chengming Xu, Weizhang Hua, Yibo Shao, Pengfei Xu, Ting The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title | The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title_full | The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title_fullStr | The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title_full_unstemmed | The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title_short | The relationship between GSTA1, GSTM1, GSTP1, and GSTT1 genetic polymorphisms and bladder cancer susceptibility: A meta-analysis |
title_sort | relationship between gsta1, gstm1, gstp1, and gstt1 genetic polymorphisms and bladder cancer susceptibility: a meta-analysis |
topic | 7300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402607/ https://www.ncbi.nlm.nih.gov/pubmed/27631264 http://dx.doi.org/10.1097/MD.0000000000004900 |
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