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Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma
PURPOSE: There is plenty of evidence showing that autophagy plays an important role in the biological process of cancer. The purpose of this study was to establish a novel autophagy-related prognostic marker for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The mRNA mi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953332/ https://www.ncbi.nlm.nih.gov/pubmed/31938577 http://dx.doi.org/10.7717/peerj.8288 |
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author | Zhu, Jie Wang, Min Hu, Daixing |
author_facet | Zhu, Jie Wang, Min Hu, Daixing |
author_sort | Zhu, Jie |
collection | PubMed |
description | PURPOSE: There is plenty of evidence showing that autophagy plays an important role in the biological process of cancer. The purpose of this study was to establish a novel autophagy-related prognostic marker for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The mRNA microarray and clinical data in The Cancer Genome Atlas (TCGA) were analyzed by using a univariate Cox proportional regression model to select candidate autophagy-related prognostic genes. Bioinformatics analysis of gene function using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms was performed. A multivariate Cox proportional regression model helped to develop a prognostic signature from the pool of candidate genes. On the basis of this prognostic signature, we could divide LUAD and LUSC patients into high-risk and low-risk groups. Further survival analysis demonstrated that high-risk patients had significantly shorter disease-free survival (DFS) than low-risk patients. The signature which contains six autophagy-related genes (EIF4EBP1, TP63, BNIP3, ATIC, ERO1A and FADD) showed good performance for predicting the survival of LUAD and LUSC patients by having a better Area Under Curves (AUC) than other clinical parameters. Its efficacy was also validated by data from the Gene Expression Omnibus (GEO) database. CONCLUSION: Collectively, the prognostic signature we proposed is a promising biomarker for monitoring the outcomes of LUAD and LUSC. |
format | Online Article Text |
id | pubmed-6953332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69533322020-01-14 Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma Zhu, Jie Wang, Min Hu, Daixing PeerJ Bioinformatics PURPOSE: There is plenty of evidence showing that autophagy plays an important role in the biological process of cancer. The purpose of this study was to establish a novel autophagy-related prognostic marker for lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The mRNA microarray and clinical data in The Cancer Genome Atlas (TCGA) were analyzed by using a univariate Cox proportional regression model to select candidate autophagy-related prognostic genes. Bioinformatics analysis of gene function using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms was performed. A multivariate Cox proportional regression model helped to develop a prognostic signature from the pool of candidate genes. On the basis of this prognostic signature, we could divide LUAD and LUSC patients into high-risk and low-risk groups. Further survival analysis demonstrated that high-risk patients had significantly shorter disease-free survival (DFS) than low-risk patients. The signature which contains six autophagy-related genes (EIF4EBP1, TP63, BNIP3, ATIC, ERO1A and FADD) showed good performance for predicting the survival of LUAD and LUSC patients by having a better Area Under Curves (AUC) than other clinical parameters. Its efficacy was also validated by data from the Gene Expression Omnibus (GEO) database. CONCLUSION: Collectively, the prognostic signature we proposed is a promising biomarker for monitoring the outcomes of LUAD and LUSC. PeerJ Inc. 2020-01-07 /pmc/articles/PMC6953332/ /pubmed/31938577 http://dx.doi.org/10.7717/peerj.8288 Text en ©2020 Zhu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Zhu, Jie Wang, Min Hu, Daixing Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title | Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title_full | Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title_fullStr | Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title_full_unstemmed | Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title_short | Development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
title_sort | development of an autophagy-related gene prognostic signature in lung adenocarcinoma and lung squamous cell carcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953332/ https://www.ncbi.nlm.nih.gov/pubmed/31938577 http://dx.doi.org/10.7717/peerj.8288 |
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