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Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis

Background and Objective: Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this met...

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Autores principales: Shi, Quan, Wang, Xing, Cai, Chuan, Yang, Shuo, Huo, Na, Liu, Hongchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675865/
https://www.ncbi.nlm.nih.gov/pubmed/29163637
http://dx.doi.org/10.3389/fgene.2017.00169
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author Shi, Quan
Wang, Xing
Cai, Chuan
Yang, Shuo
Huo, Na
Liu, Hongchen
author_facet Shi, Quan
Wang, Xing
Cai, Chuan
Yang, Shuo
Huo, Na
Liu, Hongchen
author_sort Shi, Quan
collection PubMed
description Background and Objective: Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this meta-analysis to quantitatively assess the association. Methods: Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs. Results: Seven case-control studies, including three SNPs (−509C/T, 869T/C, and 915G/C), were examined. Overall, this meta-analysis failed to identify a significant association between TGF-β1−509C/T, 915G/C polymorphism and HNC risk in any models. As for the 869T/C polymorphism, significant associations were observed in the allelic model (C vs. T: OR = 1.351, 95%CI: 1.030–1.772), the homozygote model (CC vs. TT: OR = 1.585, 95%CI: 1.026–2.449) and the dominant model (CT/CC vs. TT: OR = 1.398, 95%CI: 1.008–1.937). This polymorphism was also found in the Asian group as well (C vs. T: OR = 1.400, 95%CI: 1.003–1.956, CC vs. TT: OR = 1.814, 95%CI: 1.018–3.233). Conclusion: Meta-analysis failed to show a statistical association between TGF-β1−509C/T, 915G/C polymorphism, and HNC risk in any genetic models. However, it was found that TGF-β1 869C/T polymorphism may be involved in susceptibility to HNC, especially in Asian patients. However, given the limitations of this meta-analysis, further well-designed studies are required in the future.
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spelling pubmed-56758652017-11-21 Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis Shi, Quan Wang, Xing Cai, Chuan Yang, Shuo Huo, Na Liu, Hongchen Front Genet Genetics Background and Objective: Studies have been conducted to explore the association between the single nucleotide polymorphisms (SNPs) in transforming growth factor beta 1 (TGF-β1) and head and neck cancer (HNC) susceptibility, however the findings are still inconclusive. Therefore, we conduct this meta-analysis to quantitatively assess the association. Methods: Embase and PubMed were searched for all eligible clinical studies. The odds ratio (OR) and 95% confidence interval (CI) of each study were pooled to estimate the association between SNPs in the TGF-β1 and the HNC risk. Subgroup analysis was used to explore whether particular characteristics were related to the value of overall ORs and 95% CIs. Results: Seven case-control studies, including three SNPs (−509C/T, 869T/C, and 915G/C), were examined. Overall, this meta-analysis failed to identify a significant association between TGF-β1−509C/T, 915G/C polymorphism and HNC risk in any models. As for the 869T/C polymorphism, significant associations were observed in the allelic model (C vs. T: OR = 1.351, 95%CI: 1.030–1.772), the homozygote model (CC vs. TT: OR = 1.585, 95%CI: 1.026–2.449) and the dominant model (CT/CC vs. TT: OR = 1.398, 95%CI: 1.008–1.937). This polymorphism was also found in the Asian group as well (C vs. T: OR = 1.400, 95%CI: 1.003–1.956, CC vs. TT: OR = 1.814, 95%CI: 1.018–3.233). Conclusion: Meta-analysis failed to show a statistical association between TGF-β1−509C/T, 915G/C polymorphism, and HNC risk in any genetic models. However, it was found that TGF-β1 869C/T polymorphism may be involved in susceptibility to HNC, especially in Asian patients. However, given the limitations of this meta-analysis, further well-designed studies are required in the future. Frontiers Media S.A. 2017-11-03 /pmc/articles/PMC5675865/ /pubmed/29163637 http://dx.doi.org/10.3389/fgene.2017.00169 Text en Copyright © 2017 Shi, Wang, Cai, Yang, Huo and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Shi, Quan
Wang, Xing
Cai, Chuan
Yang, Shuo
Huo, Na
Liu, Hongchen
Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title_full Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title_fullStr Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title_full_unstemmed Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title_short Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis
title_sort association between tgf-β1 polymorphisms and head and neck cancer risk: a meta-analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675865/
https://www.ncbi.nlm.nih.gov/pubmed/29163637
http://dx.doi.org/10.3389/fgene.2017.00169
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