Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment
Ferroptosis is a more relatively recently identified type of programmed cell death, which is associated with tumor progression. However, the mechanism underlying the effect of ferroptosis-related long non-coding RNAs (lncRNAs) in lung adenocarcinoma (LUAD) remains elusive. Therefore, the current stu...
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Frontiers Media S.A.
2022-08-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.903758/full |
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author | Yuanyong Wang Guofang Lu Guofang Lu Xinying Xue Xinying Xue Xinying Xue Mei Xie Zhaoyang Wang Zhiqiang Ma Yingtong Feng Changjian Shao Hongtao Duan Minghong Pan Peng Ding Xiaofei Li Jing Han Xiaolong Yan |
author_facet | Yuanyong Wang Guofang Lu Guofang Lu Xinying Xue Xinying Xue Xinying Xue Mei Xie Zhaoyang Wang Zhiqiang Ma Yingtong Feng Changjian Shao Hongtao Duan Minghong Pan Peng Ding Xiaofei Li Jing Han Xiaolong Yan |
author_sort | Yuanyong Wang |
collection | DOAJ |
description | Ferroptosis is a more relatively recently identified type of programmed cell death, which is associated with tumor progression. However, the mechanism underlying the effect of ferroptosis-related long non-coding RNAs (lncRNAs) in lung adenocarcinoma (LUAD) remains elusive. Therefore, the current study aimed to investigate the role of ferroptosis-related lncRNAs in LUAD and to develop a prognostic model. The clinicopathological characteristics of patients and the gene sequencing data were obtained from The Cancer Genome Atlas, while the ferroptosis-associated mRNAs were downloaded from the FerrDb database. A ferroptosis-related lncRNA signature was established with Least Absolute Shrinkage and Selection Operator Cox regression analysis. Furthermore, the risk scores of ferroptosis-related lncRNAs were calculated and LUAD patients were then assigned to high- and low-risk groups based on the median risk score. The prognostic model was established by K-M plotters and nomograms. Gene set enrichment analysis (GSEA) was performed to evaluate the association between immune responses and ferroptosis-related lncRNAs. A total of 10 ferroptosis-related lncRNAs were identified as independent predictors of LUAD outcome, namely RP11-386M24.3, LINC00592, FENDRR, AC104699.1, AC091132.1, LANCL1-AS1, LINC-PINT, IFNG-AS1, LINC00968 and AC006129.2. The area under the curve verified that the established signatures could determine LUAD prognosis. The nomogram model was used to assess the predictive accuracy of the established signatures. Additionally, GSEA revealed that the 10 ferroptosis-related lncRNAs could be involved in immune responses in LUAD. Overall, the results of the current study may provide novel insights into the development of novel therapies or diagnostic strategies for LUAD. |
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issn | 1664-3224 |
language | English |
last_indexed | 2024-04-11T22:07:36Z |
publishDate | 2022-08-01 |
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spelling | doaj.art-f7245c6164c74c08a9655637b5310db02022-12-22T04:00:40ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-08-011310.3389/fimmu.2022.903758903758Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironmentYuanyong Wang0Guofang Lu1Guofang Lu2Xinying Xue3Xinying Xue4Xinying Xue5Mei Xie6Zhaoyang Wang7Zhiqiang Ma8Yingtong Feng9Changjian Shao10Hongtao Duan11Minghong Pan12Peng Ding13Xiaofei Li14Jing Han15Xiaolong Yan16Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi’an, ChinaState Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, ChinaDepartment of Respiratory Disease, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Beijing, ChinaDepartment of Respiratory Disease, School of Clinical Medicine, Weifang Medical University, Weifang, ChinaDepartment of Respiratory and Critical Care, Chinese People's Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory and Critical Care, Chinese People's Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Oncology, Chinese People's Liberation Army General Hospital, Beijing, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Xi’an International Medical Center Hospital, Xi’an, ChinaDepartment of Ophthalmology, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, ChinaFerroptosis is a more relatively recently identified type of programmed cell death, which is associated with tumor progression. However, the mechanism underlying the effect of ferroptosis-related long non-coding RNAs (lncRNAs) in lung adenocarcinoma (LUAD) remains elusive. Therefore, the current study aimed to investigate the role of ferroptosis-related lncRNAs in LUAD and to develop a prognostic model. The clinicopathological characteristics of patients and the gene sequencing data were obtained from The Cancer Genome Atlas, while the ferroptosis-associated mRNAs were downloaded from the FerrDb database. A ferroptosis-related lncRNA signature was established with Least Absolute Shrinkage and Selection Operator Cox regression analysis. Furthermore, the risk scores of ferroptosis-related lncRNAs were calculated and LUAD patients were then assigned to high- and low-risk groups based on the median risk score. The prognostic model was established by K-M plotters and nomograms. Gene set enrichment analysis (GSEA) was performed to evaluate the association between immune responses and ferroptosis-related lncRNAs. A total of 10 ferroptosis-related lncRNAs were identified as independent predictors of LUAD outcome, namely RP11-386M24.3, LINC00592, FENDRR, AC104699.1, AC091132.1, LANCL1-AS1, LINC-PINT, IFNG-AS1, LINC00968 and AC006129.2. The area under the curve verified that the established signatures could determine LUAD prognosis. The nomogram model was used to assess the predictive accuracy of the established signatures. Additionally, GSEA revealed that the 10 ferroptosis-related lncRNAs could be involved in immune responses in LUAD. Overall, the results of the current study may provide novel insights into the development of novel therapies or diagnostic strategies for LUAD.https://www.frontiersin.org/articles/10.3389/fimmu.2022.903758/fullferroptosislncRNAlung adenocarcinomaprognosistumor microenvironment |
spellingShingle | Yuanyong Wang Guofang Lu Guofang Lu Xinying Xue Xinying Xue Xinying Xue Mei Xie Zhaoyang Wang Zhiqiang Ma Yingtong Feng Changjian Shao Hongtao Duan Minghong Pan Peng Ding Xiaofei Li Jing Han Xiaolong Yan Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment Frontiers in Immunology ferroptosis lncRNA lung adenocarcinoma prognosis tumor microenvironment |
title | Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
title_full | Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
title_fullStr | Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
title_full_unstemmed | Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
title_short | Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
title_sort | characterization and validation of a ferroptosis related lncrna signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment |
topic | ferroptosis lncRNA lung adenocarcinoma prognosis tumor microenvironment |
url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.903758/full |
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