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Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma
Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, the prognosis of patients with which is associated with both lncRNAs and cancer immunity. In this study, we collected gene expression data of 585 LUAD patients from The Cancer Genome Atlas (TCGA) database and 605 subjects from the Gene Ex...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940686/ https://www.ncbi.nlm.nih.gov/pubmed/33708243 http://dx.doi.org/10.3389/fgene.2021.639254 |
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author | Wang, Jixin Yin, Xiangjun Zhang, Yin-Qiang Ji, Xuming |
author_facet | Wang, Jixin Yin, Xiangjun Zhang, Yin-Qiang Ji, Xuming |
author_sort | Wang, Jixin |
collection | PubMed |
description | Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, the prognosis of patients with which is associated with both lncRNAs and cancer immunity. In this study, we collected gene expression data of 585 LUAD patients from The Cancer Genome Atlas (TCGA) database and 605 subjects from the Gene Expression Omnibus (GEO) database. LUAD patients were divided into high and low immune-cell-infiltrated groups according to the single sample gene set enrichment analysis (ssGSEA) algorithm to identify differentially expressed genes (DEGs). Based on the 49 immune-related DE lncRNAs, a four-lncRNA prognostic signature was constructed by applying least absolute shrinkage and selection operator (LASSO) regression, univariate Cox regression, and stepwise multivariate Cox regression in sequence. Kaplan–Meier curve, ROC analysis, and the testing GEO datasets verified the effectiveness of the signature in predicting overall survival (OS). Univariate Cox regression and multivariate Cox regression suggested that the signature was an independent prognostic factor. The correlation analysis revealed that the infiltration immune cell subtypes were related to these lncRNAs. |
format | Online Article Text |
id | pubmed-7940686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79406862021-03-10 Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma Wang, Jixin Yin, Xiangjun Zhang, Yin-Qiang Ji, Xuming Front Genet Genetics Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, the prognosis of patients with which is associated with both lncRNAs and cancer immunity. In this study, we collected gene expression data of 585 LUAD patients from The Cancer Genome Atlas (TCGA) database and 605 subjects from the Gene Expression Omnibus (GEO) database. LUAD patients were divided into high and low immune-cell-infiltrated groups according to the single sample gene set enrichment analysis (ssGSEA) algorithm to identify differentially expressed genes (DEGs). Based on the 49 immune-related DE lncRNAs, a four-lncRNA prognostic signature was constructed by applying least absolute shrinkage and selection operator (LASSO) regression, univariate Cox regression, and stepwise multivariate Cox regression in sequence. Kaplan–Meier curve, ROC analysis, and the testing GEO datasets verified the effectiveness of the signature in predicting overall survival (OS). Univariate Cox regression and multivariate Cox regression suggested that the signature was an independent prognostic factor. The correlation analysis revealed that the infiltration immune cell subtypes were related to these lncRNAs. Frontiers Media S.A. 2021-02-23 /pmc/articles/PMC7940686/ /pubmed/33708243 http://dx.doi.org/10.3389/fgene.2021.639254 Text en Copyright © 2021 Wang, Yin, Zhang and Ji. http://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 | Genetics Wang, Jixin Yin, Xiangjun Zhang, Yin-Qiang Ji, Xuming Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title | Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title_full | Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title_fullStr | Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title_full_unstemmed | Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title_short | Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma |
title_sort | identification and validation of a novel immune-related four-lncrna signature for lung adenocarcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940686/ https://www.ncbi.nlm.nih.gov/pubmed/33708243 http://dx.doi.org/10.3389/fgene.2021.639254 |
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