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Prognostic significance of autophagy-related genes within esophageal carcinoma

BACKGROUND: Several works suggest the importance of autophagy during esophageal carcinoma development. The aim of the study is to construct a scoring system according to the expression profiles of major autophagy-related genes (ARGs) among esophageal carcinoma cases. METHODS: The Cancer Genome Atlas...

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Autores principales: Chen, Chongxiang, Chen, Siliang, Cao, Huijiao, Wang, Jiaojiao, Wen, Tianmeng, Hu, Xiaochun, Li, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446118/
https://www.ncbi.nlm.nih.gov/pubmed/32831056
http://dx.doi.org/10.1186/s12885-020-07303-4
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author Chen, Chongxiang
Chen, Siliang
Cao, Huijiao
Wang, Jiaojiao
Wen, Tianmeng
Hu, Xiaochun
Li, Huan
author_facet Chen, Chongxiang
Chen, Siliang
Cao, Huijiao
Wang, Jiaojiao
Wen, Tianmeng
Hu, Xiaochun
Li, Huan
author_sort Chen, Chongxiang
collection PubMed
description BACKGROUND: Several works suggest the importance of autophagy during esophageal carcinoma development. The aim of the study is to construct a scoring system according to the expression profiles of major autophagy-related genes (ARGs) among esophageal carcinoma cases. METHODS: The Cancer Genome Atlas was employed to obtain the esophageal carcinoma data. Thereafter, the online database Oncolnc (http://www.oncolnc.org/) was employed to verify the accuracy of our results. According to our results, the included ARGs were related to overall survival (OS). RESULTS: We detected the expression patterns of ARG within esophageal carcinoma and normal esophageal tissues. In addition, we identified the autophagy related gene set, including 14 genes displaying remarkable significance in predicting the esophageal carcinoma prognosis. The cox regression results showed that, 7 ARGs (including TBK1, ATG5, HSP90AB1, VAMP7, DNAJB1, GABARAPL2, and MAP2K7) were screened to calculate the ARGs scores. Typically, patients with higher ARGs scores were associated with poorer OS. Moreover, the receiver operating characteristic (ROC) curve analysis suggested that, ARGs accurately distinguished the healthy people from esophageal carcinoma patients, with the area under curve (AUC) value of > 0.6. CONCLUSION: A scoring system is constructed in this study based on the main ARGs, which accurately predicts the outcomes for esophageal carcinoma.
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spelling pubmed-74461182020-08-26 Prognostic significance of autophagy-related genes within esophageal carcinoma Chen, Chongxiang Chen, Siliang Cao, Huijiao Wang, Jiaojiao Wen, Tianmeng Hu, Xiaochun Li, Huan BMC Cancer Research Article BACKGROUND: Several works suggest the importance of autophagy during esophageal carcinoma development. The aim of the study is to construct a scoring system according to the expression profiles of major autophagy-related genes (ARGs) among esophageal carcinoma cases. METHODS: The Cancer Genome Atlas was employed to obtain the esophageal carcinoma data. Thereafter, the online database Oncolnc (http://www.oncolnc.org/) was employed to verify the accuracy of our results. According to our results, the included ARGs were related to overall survival (OS). RESULTS: We detected the expression patterns of ARG within esophageal carcinoma and normal esophageal tissues. In addition, we identified the autophagy related gene set, including 14 genes displaying remarkable significance in predicting the esophageal carcinoma prognosis. The cox regression results showed that, 7 ARGs (including TBK1, ATG5, HSP90AB1, VAMP7, DNAJB1, GABARAPL2, and MAP2K7) were screened to calculate the ARGs scores. Typically, patients with higher ARGs scores were associated with poorer OS. Moreover, the receiver operating characteristic (ROC) curve analysis suggested that, ARGs accurately distinguished the healthy people from esophageal carcinoma patients, with the area under curve (AUC) value of > 0.6. CONCLUSION: A scoring system is constructed in this study based on the main ARGs, which accurately predicts the outcomes for esophageal carcinoma. BioMed Central 2020-08-24 /pmc/articles/PMC7446118/ /pubmed/32831056 http://dx.doi.org/10.1186/s12885-020-07303-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Chen, Chongxiang
Chen, Siliang
Cao, Huijiao
Wang, Jiaojiao
Wen, Tianmeng
Hu, Xiaochun
Li, Huan
Prognostic significance of autophagy-related genes within esophageal carcinoma
title Prognostic significance of autophagy-related genes within esophageal carcinoma
title_full Prognostic significance of autophagy-related genes within esophageal carcinoma
title_fullStr Prognostic significance of autophagy-related genes within esophageal carcinoma
title_full_unstemmed Prognostic significance of autophagy-related genes within esophageal carcinoma
title_short Prognostic significance of autophagy-related genes within esophageal carcinoma
title_sort prognostic significance of autophagy-related genes within esophageal carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446118/
https://www.ncbi.nlm.nih.gov/pubmed/32831056
http://dx.doi.org/10.1186/s12885-020-07303-4
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