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Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis
To explore the association between epidermal growth factor (EGF) 61A/G polymorphism and lung cancer. All eligible case-control studies published up to August, 2019 were identified by searching PubMed, The excerpta medica database, China Academic Journals Full-text Database, China Biology Medicine, C...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220671/ https://www.ncbi.nlm.nih.gov/pubmed/32332599 http://dx.doi.org/10.1097/MD.0000000000019456 |
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author | Chen, Quan Zheng, Yiming Wu, Bingbing Chen, Xia Ge, Pengfei Wang, Pengcheng |
author_facet | Chen, Quan Zheng, Yiming Wu, Bingbing Chen, Xia Ge, Pengfei Wang, Pengcheng |
author_sort | Chen, Quan |
collection | PubMed |
description | To explore the association between epidermal growth factor (EGF) 61A/G polymorphism and lung cancer. All eligible case-control studies published up to August, 2019 were identified by searching PubMed, The excerpta medica database, China Academic Journals Full-text Database, China Biology Medicine, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang databases. Two researchers independently identified the literature, extracted data, and evaluated quality according to inclusion and exclusion criteria. Meta-analysis was performed by Stata 15.0. A total of 6 studies is included, including 1487 cases and 2044 control subjects. Compared with allele A, allele G was considered to have no association with the risk of lung cancer, odds ratio = 1.07 (95% confidence interval: 0.98–1.15). GG recessive genotype, GG + GA dominant genotype, GG homozygote genotype and GA heterozygote genotype were found out that all of them are not associated with the risk of lung cancer. No association between EGF 61A/G polymorphism and lung cancer was found out by ethnical subgroup analysis. However, in view of the limitations of this study, such as the results of quantitative and sensitivity analysis may be lack of accuracy, so the conclusions of allele model and recessive gene model should be made carefully. It suggested that there was no association between polymorphism of EGF 61A/G and susceptibility of lung cancer. |
format | Online Article Text |
id | pubmed-7220671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-72206712020-06-15 Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis Chen, Quan Zheng, Yiming Wu, Bingbing Chen, Xia Ge, Pengfei Wang, Pengcheng Medicine (Baltimore) 5700 To explore the association between epidermal growth factor (EGF) 61A/G polymorphism and lung cancer. All eligible case-control studies published up to August, 2019 were identified by searching PubMed, The excerpta medica database, China Academic Journals Full-text Database, China Biology Medicine, China National Knowledge Infrastructure, China Science and Technology Journal Database, and Wanfang databases. Two researchers independently identified the literature, extracted data, and evaluated quality according to inclusion and exclusion criteria. Meta-analysis was performed by Stata 15.0. A total of 6 studies is included, including 1487 cases and 2044 control subjects. Compared with allele A, allele G was considered to have no association with the risk of lung cancer, odds ratio = 1.07 (95% confidence interval: 0.98–1.15). GG recessive genotype, GG + GA dominant genotype, GG homozygote genotype and GA heterozygote genotype were found out that all of them are not associated with the risk of lung cancer. No association between EGF 61A/G polymorphism and lung cancer was found out by ethnical subgroup analysis. However, in view of the limitations of this study, such as the results of quantitative and sensitivity analysis may be lack of accuracy, so the conclusions of allele model and recessive gene model should be made carefully. It suggested that there was no association between polymorphism of EGF 61A/G and susceptibility of lung cancer. Wolters Kluwer Health 2020-04-24 /pmc/articles/PMC7220671/ /pubmed/32332599 http://dx.doi.org/10.1097/MD.0000000000019456 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 5700 Chen, Quan Zheng, Yiming Wu, Bingbing Chen, Xia Ge, Pengfei Wang, Pengcheng Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title | Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title_full | Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title_fullStr | Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title_full_unstemmed | Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title_short | Association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: A meta-analysis |
title_sort | association between polymorphisms of epidermal growth factor 61 and susceptibility of lung cancer: a meta-analysis |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220671/ https://www.ncbi.nlm.nih.gov/pubmed/32332599 http://dx.doi.org/10.1097/MD.0000000000019456 |
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