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Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis
BACKGROUND: Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more re...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021063/ https://www.ncbi.nlm.nih.gov/pubmed/27660462 http://dx.doi.org/10.2147/OTT.S107595 |
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author | Qin, Zhiqiang Li, Xiao Tang, Jingyuan Jiang, Xuping Yu, Yajie Wang, Chengming Xu, Weizhang Hua, Yibo Yu, Bin Zhang, Wei |
author_facet | Qin, Zhiqiang Li, Xiao Tang, Jingyuan Jiang, Xuping Yu, Yajie Wang, Chengming Xu, Weizhang Hua, Yibo Yu, Bin Zhang, Wei |
author_sort | Qin, Zhiqiang |
collection | PubMed |
description | BACKGROUND: Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more reliable conclusion about such associations. METHODS: A meta-analysis based on twelve studies was conducted, and 8,341 PCa cases and 7,734 controls were included in this analysis. All relevant studies published till February 1, 2016, were identified by searching the databases such as PubMed, EMBASE, and Web of Science. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) in order to assess the strength of such associations. Publication bias was evaluated using Begg’s funnel plots and Egger’s regression test. RESULTS: Several articles provided data only for particular genotypes; therefore, only dominant model analyses were carried out for all of these studies. Initially, the results from this analysis indicated that rs2854744 was not associated with PCa susceptibility (OR=1.12, 95% CI=0.996–1.2). However, after excluding one study due to its heterogeneity and publication bias, a significant relationship was detected between rs2854744 and PCa risk (OR=1.10, 95% CI=1.03–1.17). When stratified by genotyping method, significant results were detected only in the Sequenom method group (OR=1.13, 95% CI=1.04–1.22). Moreover, the results from a subgroup analysis that was conducted by using source of controls were significant only in the population-based control group. CONCLUSION: This meta-analysis suggested that the insulin-like growth factor-binding protein-3 polymorphism-202 A/C was associated with PCa susceptibility. |
format | Online Article Text |
id | pubmed-5021063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50210632016-09-22 Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis Qin, Zhiqiang Li, Xiao Tang, Jingyuan Jiang, Xuping Yu, Yajie Wang, Chengming Xu, Weizhang Hua, Yibo Yu, Bin Zhang, Wei Onco Targets Ther Review BACKGROUND: Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more reliable conclusion about such associations. METHODS: A meta-analysis based on twelve studies was conducted, and 8,341 PCa cases and 7,734 controls were included in this analysis. All relevant studies published till February 1, 2016, were identified by searching the databases such as PubMed, EMBASE, and Web of Science. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) in order to assess the strength of such associations. Publication bias was evaluated using Begg’s funnel plots and Egger’s regression test. RESULTS: Several articles provided data only for particular genotypes; therefore, only dominant model analyses were carried out for all of these studies. Initially, the results from this analysis indicated that rs2854744 was not associated with PCa susceptibility (OR=1.12, 95% CI=0.996–1.2). However, after excluding one study due to its heterogeneity and publication bias, a significant relationship was detected between rs2854744 and PCa risk (OR=1.10, 95% CI=1.03–1.17). When stratified by genotyping method, significant results were detected only in the Sequenom method group (OR=1.13, 95% CI=1.04–1.22). Moreover, the results from a subgroup analysis that was conducted by using source of controls were significant only in the population-based control group. CONCLUSION: This meta-analysis suggested that the insulin-like growth factor-binding protein-3 polymorphism-202 A/C was associated with PCa susceptibility. Dove Medical Press 2016-09-06 /pmc/articles/PMC5021063/ /pubmed/27660462 http://dx.doi.org/10.2147/OTT.S107595 Text en © 2016 Qin et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Review Qin, Zhiqiang Li, Xiao Tang, Jingyuan Jiang, Xuping Yu, Yajie Wang, Chengming Xu, Weizhang Hua, Yibo Yu, Bin Zhang, Wei Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title | Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title_full | Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title_fullStr | Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title_full_unstemmed | Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title_short | Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis |
title_sort | association between insulin-like growth factor-binding protein-3 polymorphism-202 a/c and the risk of prostate cancer: a meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021063/ https://www.ncbi.nlm.nih.gov/pubmed/27660462 http://dx.doi.org/10.2147/OTT.S107595 |
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