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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395983/ https://www.ncbi.nlm.nih.gov/pubmed/36016939 http://dx.doi.org/10.3389/fimmu.2022.903758 |
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author | Wang, Yuanyong Lu, Guofang Xue, Xinying Xie, Mei Wang, Zhaoyang Ma, Zhiqiang Feng, Yingtong Shao, Changjian Duan, Hongtao Pan, Minghong Ding, Peng Li, Xiaofei Han, Jing Yan, Xiaolong |
author_facet | Wang, Yuanyong Lu, Guofang Xue, Xinying Xie, Mei Wang, Zhaoyang Ma, Zhiqiang Feng, Yingtong Shao, Changjian Duan, Hongtao Pan, Minghong Ding, Peng Li, Xiaofei Han, Jing Yan, Xiaolong |
author_sort | Wang, Yuanyong |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9395983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93959832022-08-24 Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment Wang, Yuanyong Lu, Guofang Xue, Xinying Xie, Mei Wang, Zhaoyang Ma, Zhiqiang Feng, Yingtong Shao, Changjian Duan, Hongtao Pan, Minghong Ding, Peng Li, Xiaofei Han, Jing Yan, Xiaolong Front Immunol Immunology 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. Frontiers Media S.A. 2022-08-09 /pmc/articles/PMC9395983/ /pubmed/36016939 http://dx.doi.org/10.3389/fimmu.2022.903758 Text en Copyright © 2022 Wang, Lu, Xue, Xie, Wang, Ma, Feng, Shao, Duan, Pan, Ding, Li, Han and Yan https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Wang, Yuanyong Lu, Guofang Xue, Xinying Xie, Mei Wang, Zhaoyang Ma, Zhiqiang Feng, Yingtong Shao, Changjian Duan, Hongtao Pan, Minghong Ding, Peng Li, Xiaofei Han, Jing Yan, Xiaolong Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in 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 | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395983/ https://www.ncbi.nlm.nih.gov/pubmed/36016939 http://dx.doi.org/10.3389/fimmu.2022.903758 |
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