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Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common type of lung cancer and is a severe threat to human health. Although many therapies have been applied to LUAD, the long-term survival rate of patients remains unsatisfactory. We aim to find reliable immune microenvironment-related lncRNA biom...

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Autores principales: Yuan, Ligong, Li, Feng, Wang, Shuaibo, Yi, Hang, Li, Fang, Mao, Yousheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366027/
https://www.ncbi.nlm.nih.gov/pubmed/34408984
http://dx.doi.org/10.3389/fonc.2021.719812
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author Yuan, Ligong
Li, Feng
Wang, Shuaibo
Yi, Hang
Li, Fang
Mao, Yousheng
author_facet Yuan, Ligong
Li, Feng
Wang, Shuaibo
Yi, Hang
Li, Fang
Mao, Yousheng
author_sort Yuan, Ligong
collection PubMed
description BACKGROUND: Lung adenocarcinoma (LUAD) is the most common type of lung cancer and is a severe threat to human health. Although many therapies have been applied to LUAD, the long-term survival rate of patients remains unsatisfactory. We aim to find reliable immune microenvironment-related lncRNA biomarkers to improve LUAD prognosis. METHODS: ESTIMATE analysis was performed to evaluate the degree of immune infiltration of each patient in TAGA LUAD cohort. Correlation analysis was used to identify the immune microenvironment-related lncRNAs. Univariate cox regression analysis, LASSO analysis, and Kaplan Meier analysis were used to construct and validate the prognostic model based on microenvironment-related lncRNAs. RESULTS: We obtained 1,178 immune microenvironment-related lncRNAs after correlation analysis. One hundred and eighty of them are independent prognostic lncRNAs. Sixteen key lncRNAs were selected by LASSO method. This lncRNA-based model successfully predicted patients’ prognosis in validation cohort, and the risk score was related to pathological stage. Besides, we also found that TP53 had the highest frequency mutation in LUAD, and the mutation of TP53 in the high-risk group, which was identified by our survival model, has a poor prognosis. lncRNA-mRNA co-expression network further suggested that these lncRNAs play a vital role in the prognosis of LUAD. CONCLUSION: Here, we filtered 16 key lncRNAs, which could predict the survival of LUAD and may be potential biomarkers and therapeutic targets.
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spelling pubmed-83660272021-08-17 Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma Yuan, Ligong Li, Feng Wang, Shuaibo Yi, Hang Li, Fang Mao, Yousheng Front Oncol Oncology BACKGROUND: Lung adenocarcinoma (LUAD) is the most common type of lung cancer and is a severe threat to human health. Although many therapies have been applied to LUAD, the long-term survival rate of patients remains unsatisfactory. We aim to find reliable immune microenvironment-related lncRNA biomarkers to improve LUAD prognosis. METHODS: ESTIMATE analysis was performed to evaluate the degree of immune infiltration of each patient in TAGA LUAD cohort. Correlation analysis was used to identify the immune microenvironment-related lncRNAs. Univariate cox regression analysis, LASSO analysis, and Kaplan Meier analysis were used to construct and validate the prognostic model based on microenvironment-related lncRNAs. RESULTS: We obtained 1,178 immune microenvironment-related lncRNAs after correlation analysis. One hundred and eighty of them are independent prognostic lncRNAs. Sixteen key lncRNAs were selected by LASSO method. This lncRNA-based model successfully predicted patients’ prognosis in validation cohort, and the risk score was related to pathological stage. Besides, we also found that TP53 had the highest frequency mutation in LUAD, and the mutation of TP53 in the high-risk group, which was identified by our survival model, has a poor prognosis. lncRNA-mRNA co-expression network further suggested that these lncRNAs play a vital role in the prognosis of LUAD. CONCLUSION: Here, we filtered 16 key lncRNAs, which could predict the survival of LUAD and may be potential biomarkers and therapeutic targets. Frontiers Media S.A. 2021-08-02 /pmc/articles/PMC8366027/ /pubmed/34408984 http://dx.doi.org/10.3389/fonc.2021.719812 Text en Copyright © 2021 Yuan, Li, Wang, Yi, Li and Mao 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 Oncology
Yuan, Ligong
Li, Feng
Wang, Shuaibo
Yi, Hang
Li, Fang
Mao, Yousheng
Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title_full Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title_fullStr Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title_full_unstemmed Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title_short Identification of Tumor Microenvironment-Related Prognostic lncRNAs in Lung Adenocarcinoma
title_sort identification of tumor microenvironment-related prognostic lncrnas in lung adenocarcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366027/
https://www.ncbi.nlm.nih.gov/pubmed/34408984
http://dx.doi.org/10.3389/fonc.2021.719812
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