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The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies

PURPOSE: Hypoxia-inducible factor-1 (HIF-1) is a key transcription factor that regulates the cellular adaptation to hypoxia. HIF-1α gene single nucleotide polymorphisms (SNPs) are implicated to be associated with cancer risks. However, results from the published studies remained inconclusive. The ai...

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Autores principales: Zhou, Yuqiao, Lin, Lin, Wang, Yun, Jin, Xin, Zhao, Xin, Liu, Dongjuan, Hu, Ting, Jiang, Lu, Dan, Hongxia, Zeng, Xin, Li, Jing, Wang, Jiayi, Chen, Qianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012095/
https://www.ncbi.nlm.nih.gov/pubmed/24808762
http://dx.doi.org/10.1186/1475-2867-14-37
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author Zhou, Yuqiao
Lin, Lin
Wang, Yun
Jin, Xin
Zhao, Xin
Liu, Dongjuan
Hu, Ting
Jiang, Lu
Dan, Hongxia
Zeng, Xin
Li, Jing
Wang, Jiayi
Chen, Qianming
author_facet Zhou, Yuqiao
Lin, Lin
Wang, Yun
Jin, Xin
Zhao, Xin
Liu, Dongjuan
Hu, Ting
Jiang, Lu
Dan, Hongxia
Zeng, Xin
Li, Jing
Wang, Jiayi
Chen, Qianming
author_sort Zhou, Yuqiao
collection PubMed
description PURPOSE: Hypoxia-inducible factor-1 (HIF-1) is a key transcription factor that regulates the cellular adaptation to hypoxia. HIF-1α gene single nucleotide polymorphisms (SNPs) are implicated to be associated with cancer risks. However, results from the published studies remained inconclusive. The aim of this study is to investigate the relationship of HIF-1α gene G1790A polymorphism with cancer using meta-analysis. METHODS: A comprehensive search in Pubmed, EMBASE and China National Knowledge Infrastructure (CNKI) was conducted to identify all publications on the association between this polymorphism and cancer until December 13, 2013. Odds ratios (OR) with 95% confidence intervals (95% CI) were used to evaluate the strength of this association. Association between lymph node metastasis and G1790A was also investigated. RESULTS: A total of 5985 cases and 6809 controls in 28 case–control studies were included in this meta-analysis. The A allele of HIF-1α gene G1790A polymorphism was found to be significantly associated with increased cancer risk in four genetic models: AA + AG vs. GG (dominant model OR = 1.85, 95% CI = 1.27-2.69), AA vs. AG + GG (recessive model OR = 5.69, 95% CI = 3.87-8.37), AA vs. GG (homozygote comparison OR = 6.63, 95% CI = 4.49-9.79), and AG vs. GG (heterozygote comparison OR = 2.39, 95% CI = 1.53-3.75). This variant was also significantly associated with higher risks of pancreatic cancer, head and neck cancer, lung cancer and renal cell carcinoma. However, the A allele of G1790A was not significantly associated with increased lymph node metastasis in the dominant model by overall meta-analysis. CONCLUSIONS: Our meta-analysis suggests that the substitution of G with A of HIF-1α gene G1790A polymorphism is a risk factor of cancer, especially for pancreatic cancer, lung cancer, renal cell carcinoma and head and neck cancer. The association is significant in Asian, Caucasian population and public based control subgroups. However, it’s not associated with risk of lymph node metastasis.
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spelling pubmed-40120952014-05-08 The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies Zhou, Yuqiao Lin, Lin Wang, Yun Jin, Xin Zhao, Xin Liu, Dongjuan Hu, Ting Jiang, Lu Dan, Hongxia Zeng, Xin Li, Jing Wang, Jiayi Chen, Qianming Cancer Cell Int Primary Research PURPOSE: Hypoxia-inducible factor-1 (HIF-1) is a key transcription factor that regulates the cellular adaptation to hypoxia. HIF-1α gene single nucleotide polymorphisms (SNPs) are implicated to be associated with cancer risks. However, results from the published studies remained inconclusive. The aim of this study is to investigate the relationship of HIF-1α gene G1790A polymorphism with cancer using meta-analysis. METHODS: A comprehensive search in Pubmed, EMBASE and China National Knowledge Infrastructure (CNKI) was conducted to identify all publications on the association between this polymorphism and cancer until December 13, 2013. Odds ratios (OR) with 95% confidence intervals (95% CI) were used to evaluate the strength of this association. Association between lymph node metastasis and G1790A was also investigated. RESULTS: A total of 5985 cases and 6809 controls in 28 case–control studies were included in this meta-analysis. The A allele of HIF-1α gene G1790A polymorphism was found to be significantly associated with increased cancer risk in four genetic models: AA + AG vs. GG (dominant model OR = 1.85, 95% CI = 1.27-2.69), AA vs. AG + GG (recessive model OR = 5.69, 95% CI = 3.87-8.37), AA vs. GG (homozygote comparison OR = 6.63, 95% CI = 4.49-9.79), and AG vs. GG (heterozygote comparison OR = 2.39, 95% CI = 1.53-3.75). This variant was also significantly associated with higher risks of pancreatic cancer, head and neck cancer, lung cancer and renal cell carcinoma. However, the A allele of G1790A was not significantly associated with increased lymph node metastasis in the dominant model by overall meta-analysis. CONCLUSIONS: Our meta-analysis suggests that the substitution of G with A of HIF-1α gene G1790A polymorphism is a risk factor of cancer, especially for pancreatic cancer, lung cancer, renal cell carcinoma and head and neck cancer. The association is significant in Asian, Caucasian population and public based control subgroups. However, it’s not associated with risk of lymph node metastasis. BioMed Central 2014-05-01 /pmc/articles/PMC4012095/ /pubmed/24808762 http://dx.doi.org/10.1186/1475-2867-14-37 Text en Copyright © 2014 Zhou et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Primary Research
Zhou, Yuqiao
Lin, Lin
Wang, Yun
Jin, Xin
Zhao, Xin
Liu, Dongjuan
Hu, Ting
Jiang, Lu
Dan, Hongxia
Zeng, Xin
Li, Jing
Wang, Jiayi
Chen, Qianming
The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title_full The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title_fullStr The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title_full_unstemmed The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title_short The association between hypoxia-inducible factor-1 α gene G1790A polymorphism and cancer risk: a meta-analysis of 28 case–control studies
title_sort association between hypoxia-inducible factor-1 α gene g1790a polymorphism and cancer risk: a meta-analysis of 28 case–control studies
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012095/
https://www.ncbi.nlm.nih.gov/pubmed/24808762
http://dx.doi.org/10.1186/1475-2867-14-37
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