Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer
Pancreatic cancer (PC) is a highly malignant tumor in the digestive system. Both long noncoding RNAs (lncRNAs) and autophagy play vital roles in the development and progress of PC. Here, we constructed a prognostic risk score system based on the expression profile of autophagy-associated lncRNAs for...
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Frontiers Media S.A.
2021-05-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.596573/full |
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author | Guangyu Chen Gang Yang Junyu Long Jinshou Yang Cheng Qin Wenhao Luo Jiangdong Qiu Fangyu Zhao Lei You Taiping Zhang Taiping Zhang Yupei Zhao |
author_facet | Guangyu Chen Gang Yang Junyu Long Jinshou Yang Cheng Qin Wenhao Luo Jiangdong Qiu Fangyu Zhao Lei You Taiping Zhang Taiping Zhang Yupei Zhao |
author_sort | Guangyu Chen |
collection | DOAJ |
description | Pancreatic cancer (PC) is a highly malignant tumor in the digestive system. Both long noncoding RNAs (lncRNAs) and autophagy play vital roles in the development and progress of PC. Here, we constructed a prognostic risk score system based on the expression profile of autophagy-associated lncRNAs for prognostic prediction in PC patients. Firstly, we extracted the expression profile of lncRNA and clinical information from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. The autophagy-associated genes were from The Human Autophagy Database. Through Cox regression and survival analysis, we screened out seven autophagy-associated lncRNAs and built the risk score system in which the patients with PC were distinguished into high- and low-risk groups in both training and validation datasets. PCA plot displayed distinct discrimination, and risk score system displayed independently predictive value for PC patient survival time by multivariate Cox regression. Then, we built a lncRNA and mRNA co-expression network via Cytoscape and Sankey diagram. Finally, we analyzed the function of lncRNAs in high- and low-risk groups by gene set enrichment analysis (GSEA). The results showed that autophagy and metabolism might make significant effects on PC patients of low-risk groups. Taken together, our study provides a new insight to understand the role of autophagy-associated lncRNAs and finds novel therapeutic and prognostic targets in PC. |
first_indexed | 2024-12-19T10:29:38Z |
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language | English |
last_indexed | 2024-12-19T10:29:38Z |
publishDate | 2021-05-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Oncology |
spelling | doaj.art-cf27f916acbc4c709145f448708245e52022-12-21T20:25:48ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-05-011110.3389/fonc.2021.596573596573Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic CancerGuangyu Chen0Gang Yang1Junyu Long2Jinshou Yang3Cheng Qin4Wenhao Luo5Jiangdong Qiu6Fangyu Zhao7Lei You8Taiping Zhang9Taiping Zhang10Yupei Zhao11Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaClinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaPancreatic cancer (PC) is a highly malignant tumor in the digestive system. Both long noncoding RNAs (lncRNAs) and autophagy play vital roles in the development and progress of PC. Here, we constructed a prognostic risk score system based on the expression profile of autophagy-associated lncRNAs for prognostic prediction in PC patients. Firstly, we extracted the expression profile of lncRNA and clinical information from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. The autophagy-associated genes were from The Human Autophagy Database. Through Cox regression and survival analysis, we screened out seven autophagy-associated lncRNAs and built the risk score system in which the patients with PC were distinguished into high- and low-risk groups in both training and validation datasets. PCA plot displayed distinct discrimination, and risk score system displayed independently predictive value for PC patient survival time by multivariate Cox regression. Then, we built a lncRNA and mRNA co-expression network via Cytoscape and Sankey diagram. Finally, we analyzed the function of lncRNAs in high- and low-risk groups by gene set enrichment analysis (GSEA). The results showed that autophagy and metabolism might make significant effects on PC patients of low-risk groups. Taken together, our study provides a new insight to understand the role of autophagy-associated lncRNAs and finds novel therapeutic and prognostic targets in PC.https://www.frontiersin.org/articles/10.3389/fonc.2021.596573/fullpancreatic cancerlong noncoding RNAautophagyprognosisTCGAICGC |
spellingShingle | Guangyu Chen Gang Yang Junyu Long Jinshou Yang Cheng Qin Wenhao Luo Jiangdong Qiu Fangyu Zhao Lei You Taiping Zhang Taiping Zhang Yupei Zhao Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer Frontiers in Oncology pancreatic cancer long noncoding RNA autophagy prognosis TCGA ICGC |
title | Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer |
title_full | Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer |
title_fullStr | Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer |
title_full_unstemmed | Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer |
title_short | Comprehensive Analysis of Autophagy-Associated lncRNAs Reveal Potential Prognostic Prediction in Pancreatic Cancer |
title_sort | comprehensive analysis of autophagy associated lncrnas reveal potential prognostic prediction in pancreatic cancer |
topic | pancreatic cancer long noncoding RNA autophagy prognosis TCGA ICGC |
url | https://www.frontiersin.org/articles/10.3389/fonc.2021.596573/full |
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