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Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk

CTNNB1, encoding β-catenin, is a well-known tumor-related gene in the wnt signaling pathway. It has been reported that CTNNB1 polymorphisms are associated with cancer risk. However, the data were inconsistent. In this article, we conducted a systematic review for the researches related to the associ...

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Autores principales: Li, Yanke, Zhang, Fuqiang, Yang, Dehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700267/
https://www.ncbi.nlm.nih.gov/pubmed/28963373
http://dx.doi.org/10.1042/BSR20171121
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author Li, Yanke
Zhang, Fuqiang
Yang, Dehua
author_facet Li, Yanke
Zhang, Fuqiang
Yang, Dehua
author_sort Li, Yanke
collection PubMed
description CTNNB1, encoding β-catenin, is a well-known tumor-related gene in the wnt signaling pathway. It has been reported that CTNNB1 polymorphisms are associated with cancer risk. However, the data were inconsistent. In this article, we conducted a systematic review for the researches related to the association of single nucleotide polymorphisms (SNPs) in CTNNB1 with overall cancer risk. Meanwhile, a series of inclusion and exclusion criteria were set to select articles for quantitative analysis. Consequently, eight case-control studies containing 4388 cases and 4477 controls were included in a meta-analysis of four highly studied CTNNB1 SNPs (rs1798802 A/G, rs4135385 A/G, rs11564475 A/G, and rs2293303 C/T). The association between each SNP and cancer risk was estimated by calculating odds ratios (ORs) and their 95% confidence intervals (95%CIs). The results showed rs1798802 (AA compared with GG: P=0.044, OR=0.72) and rs2293303 (TT compared with CC: P=0.002, OR=2.86; recessive model: P=0.006, OR=2.91; T compared with C: P=0.004, OR=1.19) polymorphisms were associated with overall cancer risk. In stratified analysis, rs4135385 polymorphism was found to elevate the risk in Caucasian or in gastrointestinal cancer subgroup. Additionally, rs2293303 conferred to an increased cancer risk when the source of control groups was hospital-based (HB). In conclusion, the three CTNNB1 SNPs were suggested to have the potential to be novel biomarkers for risk prediction of cancer in overall population or some specific subgroups. Our study could provide research clues for further related investigations.
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spelling pubmed-57002672017-11-27 Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk Li, Yanke Zhang, Fuqiang Yang, Dehua Biosci Rep Review Articles CTNNB1, encoding β-catenin, is a well-known tumor-related gene in the wnt signaling pathway. It has been reported that CTNNB1 polymorphisms are associated with cancer risk. However, the data were inconsistent. In this article, we conducted a systematic review for the researches related to the association of single nucleotide polymorphisms (SNPs) in CTNNB1 with overall cancer risk. Meanwhile, a series of inclusion and exclusion criteria were set to select articles for quantitative analysis. Consequently, eight case-control studies containing 4388 cases and 4477 controls were included in a meta-analysis of four highly studied CTNNB1 SNPs (rs1798802 A/G, rs4135385 A/G, rs11564475 A/G, and rs2293303 C/T). The association between each SNP and cancer risk was estimated by calculating odds ratios (ORs) and their 95% confidence intervals (95%CIs). The results showed rs1798802 (AA compared with GG: P=0.044, OR=0.72) and rs2293303 (TT compared with CC: P=0.002, OR=2.86; recessive model: P=0.006, OR=2.91; T compared with C: P=0.004, OR=1.19) polymorphisms were associated with overall cancer risk. In stratified analysis, rs4135385 polymorphism was found to elevate the risk in Caucasian or in gastrointestinal cancer subgroup. Additionally, rs2293303 conferred to an increased cancer risk when the source of control groups was hospital-based (HB). In conclusion, the three CTNNB1 SNPs were suggested to have the potential to be novel biomarkers for risk prediction of cancer in overall population or some specific subgroups. Our study could provide research clues for further related investigations. Portland Press Ltd. 2017-11-23 /pmc/articles/PMC5700267/ /pubmed/28963373 http://dx.doi.org/10.1042/BSR20171121 Text en © 2017 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Li, Yanke
Zhang, Fuqiang
Yang, Dehua
Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title_full Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title_fullStr Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title_full_unstemmed Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title_short Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk
title_sort comprehensive assessment and meta-analysis of the association between ctnnb1 polymorphisms and cancer risk
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700267/
https://www.ncbi.nlm.nih.gov/pubmed/28963373
http://dx.doi.org/10.1042/BSR20171121
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