Profiles of autophagy-related genes in esophageal adenocarcinoma

Abstract Background Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods Expressions of ARGs in EAC and normal sam...

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Main Authors: Lei Zhu, Lin Dong, Minghao Feng, Fugui Yang, Wenhao Jiang, Zhiyuan Huang, Fabing Liu, Lingwei Wang, Guangxue Wang, Qinchuan Li
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-020-07416-w
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author Lei Zhu
Lin Dong
Minghao Feng
Fugui Yang
Wenhao Jiang
Zhiyuan Huang
Fabing Liu
Lingwei Wang
Guangxue Wang
Qinchuan Li
author_facet Lei Zhu
Lin Dong
Minghao Feng
Fugui Yang
Wenhao Jiang
Zhiyuan Huang
Fabing Liu
Lingwei Wang
Guangxue Wang
Qinchuan Li
author_sort Lei Zhu
collection DOAJ
description Abstract Background Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition, significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues. Results Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR = 0.321, P = 0.046), DAPK1 (HR = 0.636, P = 0.025) and CAPN1 (HR = 0.395, P = 0.004) played protective roles in survival. Gender (HR = 0.225, P = 0.032), stage (HR = 5.841, P = 0.008) and risk score (HR = 1.131, P < 0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P < 0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P < 0.05). Conclusion Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.
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spelling doaj.art-2900e258c5d34da2814e3526e1e81ed42022-12-21T23:52:54ZengBMCBMC Cancer1471-24072020-10-0120111310.1186/s12885-020-07416-wProfiles of autophagy-related genes in esophageal adenocarcinomaLei Zhu0Lin Dong1Minghao Feng2Fugui Yang3Wenhao Jiang4Zhiyuan Huang5Fabing Liu6Lingwei Wang7Guangxue Wang8Qinchuan Li9Department of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of MedicineDepartment of Thoracic Surgery, Shanghai East Hospital, Tongji University School of MedicineAbstract Background Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition, significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues. Results Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR = 0.321, P = 0.046), DAPK1 (HR = 0.636, P = 0.025) and CAPN1 (HR = 0.395, P = 0.004) played protective roles in survival. Gender (HR = 0.225, P = 0.032), stage (HR = 5.841, P = 0.008) and risk score (HR = 1.131, P < 0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P < 0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P < 0.05). Conclusion Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.http://link.springer.com/article/10.1186/s12885-020-07416-wAutophagyEsophageal adenocarcinomaPrognosis
spellingShingle Lei Zhu
Lin Dong
Minghao Feng
Fugui Yang
Wenhao Jiang
Zhiyuan Huang
Fabing Liu
Lingwei Wang
Guangxue Wang
Qinchuan Li
Profiles of autophagy-related genes in esophageal adenocarcinoma
BMC Cancer
Autophagy
Esophageal adenocarcinoma
Prognosis
title Profiles of autophagy-related genes in esophageal adenocarcinoma
title_full Profiles of autophagy-related genes in esophageal adenocarcinoma
title_fullStr Profiles of autophagy-related genes in esophageal adenocarcinoma
title_full_unstemmed Profiles of autophagy-related genes in esophageal adenocarcinoma
title_short Profiles of autophagy-related genes in esophageal adenocarcinoma
title_sort profiles of autophagy related genes in esophageal adenocarcinoma
topic Autophagy
Esophageal adenocarcinoma
Prognosis
url http://link.springer.com/article/10.1186/s12885-020-07416-w
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AT wenhaojiang profilesofautophagyrelatedgenesinesophagealadenocarcinoma
AT zhiyuanhuang profilesofautophagyrelatedgenesinesophagealadenocarcinoma
AT fabingliu profilesofautophagyrelatedgenesinesophagealadenocarcinoma
AT lingweiwang profilesofautophagyrelatedgenesinesophagealadenocarcinoma
AT guangxuewang profilesofautophagyrelatedgenesinesophagealadenocarcinoma
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