A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma

Background: We aimed to identify the immune checkpoint Programmed cell death 1 (PD-1)-related gene signatures to predict the overall survival of lung adenocarcinoma (LUAD). Methods: RNA-seq datasets associated with LUAD as well as clinical information were downloaded from the Gene Expression Om...

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Autores principales:	Wei Niu, Lianping Jiang
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	lung adenocarcinoma programmed cell death 1 prognostic model immune infiltration Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/9cc2abbe6c56479fb27f4d39c28a668e
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spelling	oai:doaj.org-article:9cc2abbe6c56479fb27f4d39c28a668e2021-11-11T01:08:44ZA seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma10.3934/mbe.20213071551-0018https://doaj.org/article/9cc2abbe6c56479fb27f4d39c28a668e2021-07-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021307?viewType=HTMLhttps://doaj.org/toc/1551-0018Background: We aimed to identify the immune checkpoint Programmed cell death 1 (PD-1)-related gene signatures to predict the overall survival of lung adenocarcinoma (LUAD). Methods: RNA-seq datasets associated with LUAD as well as clinical information were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Based on the expression level of PD-1, Kaplan-Meier (K-M) survival analysis was performed to divide samples into PD-1 high- and low- expression groups. Then, differentially expressed genes (DEGs) between high- and low- expression groups were identified. Meanwhile, samples were divided into the high and low immune infiltration groups according to score of immune cell, followed by screening of DEGs between these two groups. Subsequently, DEGs related to both PD-1 expression and immune infiltration was integrated to obtain the overlapping genes. Lasso COX regressions were implemented to construct prognostic signatures. The prognostic model was validated using an independent GEO dataset and TCGA cohorts. In addition, the predictive ability of the seven-gene prognostic model with other molecular biomarkers was compared. Results: A seven-gene signature (DPT, ITGAD, CLECL1, SYT13, DUSP26, AMPD1, and NELL2) related to PD-1 was developed through Lasso Cox regression. Univariate and multivariate regression analyses indicated that the constructed risk model was an independent prognostic factor. K-M survival analysis indicated that patients in the high risk group had significantly worse prognosis than those in the low risk group. Further, the results of validation analysis showed that this model was reliable and effective. Conclusions: The constructed prognostic model can predict overall survival in LUAD patients with great predictive performance, and it may be applied for diagnosis and adjuvant treatment of LUAD in clinical trials.Wei NiuLianping JiangAIMS Pressarticlelung adenocarcinomaprogrammed cell death 1prognostic modelimmune infiltrationBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6136-6154 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lung adenocarcinoma programmed cell death 1 prognostic model immune infiltration Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	lung adenocarcinoma programmed cell death 1 prognostic model immune infiltration Biotechnology TP248.13-248.65 Mathematics QA1-939 Wei Niu Lianping Jiang A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
description	Background: We aimed to identify the immune checkpoint Programmed cell death 1 (PD-1)-related gene signatures to predict the overall survival of lung adenocarcinoma (LUAD). Methods: RNA-seq datasets associated with LUAD as well as clinical information were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Based on the expression level of PD-1, Kaplan-Meier (K-M) survival analysis was performed to divide samples into PD-1 high- and low- expression groups. Then, differentially expressed genes (DEGs) between high- and low- expression groups were identified. Meanwhile, samples were divided into the high and low immune infiltration groups according to score of immune cell, followed by screening of DEGs between these two groups. Subsequently, DEGs related to both PD-1 expression and immune infiltration was integrated to obtain the overlapping genes. Lasso COX regressions were implemented to construct prognostic signatures. The prognostic model was validated using an independent GEO dataset and TCGA cohorts. In addition, the predictive ability of the seven-gene prognostic model with other molecular biomarkers was compared. Results: A seven-gene signature (DPT, ITGAD, CLECL1, SYT13, DUSP26, AMPD1, and NELL2) related to PD-1 was developed through Lasso Cox regression. Univariate and multivariate regression analyses indicated that the constructed risk model was an independent prognostic factor. K-M survival analysis indicated that patients in the high risk group had significantly worse prognosis than those in the low risk group. Further, the results of validation analysis showed that this model was reliable and effective. Conclusions: The constructed prognostic model can predict overall survival in LUAD patients with great predictive performance, and it may be applied for diagnosis and adjuvant treatment of LUAD in clinical trials.
format	article
author	Wei Niu Lianping Jiang
author_facet	Wei Niu Lianping Jiang
author_sort	Wei Niu
title	A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
title_short	A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
title_full	A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
title_fullStr	A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
title_full_unstemmed	A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma
title_sort	seven-gene prognostic model related to immune checkpoint pd-1 revealing overall survival in patients with lung adenocarcinoma
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/9cc2abbe6c56479fb27f4d39c28a668e
work_keys_str_mv	AT weiniu asevengeneprognosticmodelrelatedtoimmunecheckpointpd1revealingoverallsurvivalinpatientswithlungadenocarcinoma AT lianpingjiang asevengeneprognosticmodelrelatedtoimmunecheckpointpd1revealingoverallsurvivalinpatientswithlungadenocarcinoma AT weiniu sevengeneprognosticmodelrelatedtoimmunecheckpointpd1revealingoverallsurvivalinpatientswithlungadenocarcinoma AT lianpingjiang sevengeneprognosticmodelrelatedtoimmunecheckpointpd1revealingoverallsurvivalinpatientswithlungadenocarcinoma
_version_	1718439608822267904

A seven-gene prognostic model related to immune checkpoint PD-1 revealing overall survival in patients with lung adenocarcinoma

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