Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma

Abstract Lung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to un...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chunlei Wu, Quanteng Hu, Dehua Ma
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/489ea5a767a440d3bcc42c4ea085936d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:489ea5a767a440d3bcc42c4ea085936d
record_format	dspace
spelling	oai:doaj.org-article:489ea5a767a440d3bcc42c4ea085936d2021-12-02T14:26:47ZDevelopment of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma10.1038/s41598-021-83120-42045-2322https://doaj.org/article/489ea5a767a440d3bcc42c4ea085936d2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83120-4https://doaj.org/toc/2045-2322Abstract Lung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.Chunlei WuQuanteng HuDehua MaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chunlei Wu Quanteng Hu Dehua Ma Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
description	Abstract Lung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.
format	article
author	Chunlei Wu Quanteng Hu Dehua Ma
author_facet	Chunlei Wu Quanteng Hu Dehua Ma
author_sort	Chunlei Wu
title	Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
title_short	Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
title_full	Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
title_fullStr	Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
title_full_unstemmed	Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
title_sort	development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/489ea5a767a440d3bcc42c4ea085936d
work_keys_str_mv	AT chunleiwu developmentofanimmunerelatedgenepairssignatureforpredictingclinicaloutcomeinlungadenocarcinoma AT quantenghu developmentofanimmunerelatedgenepairssignatureforpredictingclinicaloutcomeinlungadenocarcinoma AT dehuama developmentofanimmunerelatedgenepairssignatureforpredictingclinicaloutcomeinlungadenocarcinoma
_version_	1718391307015028736

Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma

Ejemplares similares