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Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk

The aim is to comprehensively and accurately assess potential relationships between single nucleotide polymorphisms (SNP) and lung cancer (LC) risk by summarizing the evidence in systematic reviews and meta-analyses. This umbrella review was registered with the PROSPERO international prospective reg...

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Autores principales: Li, Xiaoying, Wu, Qijun, Zhou, Baosen, Liu, Yashu, Lv, Jiale, Chang, Qing, Zhao, Yuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446528/
https://www.ncbi.nlm.nih.gov/pubmed/34540891
http://dx.doi.org/10.3389/fmolb.2021.687105
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author Li, Xiaoying
Wu, Qijun
Zhou, Baosen
Liu, Yashu
Lv, Jiale
Chang, Qing
Zhao, Yuhong
author_facet Li, Xiaoying
Wu, Qijun
Zhou, Baosen
Liu, Yashu
Lv, Jiale
Chang, Qing
Zhao, Yuhong
author_sort Li, Xiaoying
collection PubMed
description The aim is to comprehensively and accurately assess potential relationships between single nucleotide polymorphisms (SNP) and lung cancer (LC) risk by summarizing the evidence in systematic reviews and meta-analyses. This umbrella review was registered with the PROSPERO international prospective register of systematic reviews under registration number CRD42020204685. The PubMed, Web of Science, and Embase databases were searched to identify eligible systematic reviews and meta-analyses from inception to August 14, 2020. The evaluation of cumulative evidence was conducted for associations with nominally statistical significance based on the Venice criteria and false positive report probability (FPRP). This umbrella review finally included 120 articles of a total of 190 SNP. The median number of studies and sample size included in the meta-analyses were five (range, 3–52) and 4 389 (range, 354–256 490), respectively. A total of 85 SNP (in 218 genetic models) were nominally statistically associated with LC risk. Based on the Venice criteria and FPRP, 13 SNP (in 22 genetic models), 47 SNP (in 99 genetic models), and 55 SNP (in 94 genetic models) had strong, moderate, and weak cumulative evidence of associations with LC risk, respectively. In conclusion, this umbrella review indicated that only 13 SNP (of 11 genes and one miRNA) were strongly correlated to LC risk. These findings can serve as a general and helpful reference for further genetic studies.
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spelling pubmed-84465282021-09-18 Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk Li, Xiaoying Wu, Qijun Zhou, Baosen Liu, Yashu Lv, Jiale Chang, Qing Zhao, Yuhong Front Mol Biosci Molecular Biosciences The aim is to comprehensively and accurately assess potential relationships between single nucleotide polymorphisms (SNP) and lung cancer (LC) risk by summarizing the evidence in systematic reviews and meta-analyses. This umbrella review was registered with the PROSPERO international prospective register of systematic reviews under registration number CRD42020204685. The PubMed, Web of Science, and Embase databases were searched to identify eligible systematic reviews and meta-analyses from inception to August 14, 2020. The evaluation of cumulative evidence was conducted for associations with nominally statistical significance based on the Venice criteria and false positive report probability (FPRP). This umbrella review finally included 120 articles of a total of 190 SNP. The median number of studies and sample size included in the meta-analyses were five (range, 3–52) and 4 389 (range, 354–256 490), respectively. A total of 85 SNP (in 218 genetic models) were nominally statistically associated with LC risk. Based on the Venice criteria and FPRP, 13 SNP (in 22 genetic models), 47 SNP (in 99 genetic models), and 55 SNP (in 94 genetic models) had strong, moderate, and weak cumulative evidence of associations with LC risk, respectively. In conclusion, this umbrella review indicated that only 13 SNP (of 11 genes and one miRNA) were strongly correlated to LC risk. These findings can serve as a general and helpful reference for further genetic studies. Frontiers Media S.A. 2021-09-03 /pmc/articles/PMC8446528/ /pubmed/34540891 http://dx.doi.org/10.3389/fmolb.2021.687105 Text en Copyright © 2021 Li, Wu, Zhou, Liu, Lv, Chang and Zhao. https://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) and the copyright owner(s) 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 Molecular Biosciences
Li, Xiaoying
Wu, Qijun
Zhou, Baosen
Liu, Yashu
Lv, Jiale
Chang, Qing
Zhao, Yuhong
Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title_full Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title_fullStr Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title_full_unstemmed Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title_short Umbrella Review on Associations Between Single Nucleotide Polymorphisms and Lung Cancer Risk
title_sort umbrella review on associations between single nucleotide polymorphisms and lung cancer risk
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446528/
https://www.ncbi.nlm.nih.gov/pubmed/34540891
http://dx.doi.org/10.3389/fmolb.2021.687105
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