Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm

Different subtypes of gastric cancer differentially respond to immune checkpoint inhibitors (ICI). This study aimed to investigate whether the Estimation of STromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm is related to the classification and prognosis o...

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Autores principales:	Shan Yu, Yan Wang, Ke Peng, Minzhi Lyu, Fenglin Liu, Tianshu Liu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	gastric cancer tumor microenvironment immune checkpoint inhibitors risk scores prognosis 2 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6409c34d9b8948188852313ca64368b2
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id	oai:doaj.org-article:6409c34d9b8948188852313ca64368b2
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spelling	oai:doaj.org-article:6409c34d9b8948188852313ca64368b22021-11-30T18:33:40ZEstablishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm2296-634X10.3389/fcell.2021.752023https://doaj.org/article/6409c34d9b8948188852313ca64368b22021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.752023/fullhttps://doaj.org/toc/2296-634XDifferent subtypes of gastric cancer differentially respond to immune checkpoint inhibitors (ICI). This study aimed to investigate whether the Estimation of STromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm is related to the classification and prognosis of gastric cancer and to establish an ESTIMATE-based gene signature to predict the prognosis for patients. The immune/stromal scores of 388 gastric cancer patients from TCGA were used in this analysis. The upregulated differentially expressed genes (DEGs) in patients with high stromal/immune scores were identified. The immune-related hub DEGs were selected based on protein-protein interaction (PPI) analysis. The prognostic values of the hub DEGs were evaluated in the TCGA dataset and validated in the GSE15460 dataset using the Kaplan-Meier curves. A prognostic signature was built using the hub DEGs by Cox proportional hazards model, and the accuracy was assessed using receiver operating characteristic (ROC) analysis. Different subtypes of gastric cancer had significantly different immune/stromal scores. High stromal scores but not immune scores were significantly associated with short overall survivals of TCGA patients. Nine hub DEGs were identified in PPI analysisThe expression of these hub DEG negatively correlated with the overall survival in the TCGA cohort, which was validated in the GSE15460 cohort. A 9-gene prognostic signature was constructed. The risk factor of patients was calculated by this signature. High-risk patients had significantly shorter overall survival than low-risk patients. ROC analysis showed that the prognostic model accurately identified high-risk individuals within different time frames. We established an effective 9-gene-based risk signature to predict the prognosis of gastric cancer patients, providing guidance for prognostic stratification.Shan YuYan WangKe PengMinzhi LyuMinzhi LyuFenglin LiuTianshu LiuTianshu LiuFrontiers Media S.A.articlegastric cancertumor microenvironmentimmune checkpoint inhibitorsrisk scoresprognosis 2Biology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gastric cancer tumor microenvironment immune checkpoint inhibitors risk scores prognosis 2 Biology (General) QH301-705.5
spellingShingle	gastric cancer tumor microenvironment immune checkpoint inhibitors risk scores prognosis 2 Biology (General) QH301-705.5 Shan Yu Yan Wang Ke Peng Minzhi Lyu Minzhi Lyu Fenglin Liu Tianshu Liu Tianshu Liu Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
description	Different subtypes of gastric cancer differentially respond to immune checkpoint inhibitors (ICI). This study aimed to investigate whether the Estimation of STromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm is related to the classification and prognosis of gastric cancer and to establish an ESTIMATE-based gene signature to predict the prognosis for patients. The immune/stromal scores of 388 gastric cancer patients from TCGA were used in this analysis. The upregulated differentially expressed genes (DEGs) in patients with high stromal/immune scores were identified. The immune-related hub DEGs were selected based on protein-protein interaction (PPI) analysis. The prognostic values of the hub DEGs were evaluated in the TCGA dataset and validated in the GSE15460 dataset using the Kaplan-Meier curves. A prognostic signature was built using the hub DEGs by Cox proportional hazards model, and the accuracy was assessed using receiver operating characteristic (ROC) analysis. Different subtypes of gastric cancer had significantly different immune/stromal scores. High stromal scores but not immune scores were significantly associated with short overall survivals of TCGA patients. Nine hub DEGs were identified in PPI analysisThe expression of these hub DEG negatively correlated with the overall survival in the TCGA cohort, which was validated in the GSE15460 cohort. A 9-gene prognostic signature was constructed. The risk factor of patients was calculated by this signature. High-risk patients had significantly shorter overall survival than low-risk patients. ROC analysis showed that the prognostic model accurately identified high-risk individuals within different time frames. We established an effective 9-gene-based risk signature to predict the prognosis of gastric cancer patients, providing guidance for prognostic stratification.
format	article
author	Shan Yu Yan Wang Ke Peng Minzhi Lyu Minzhi Lyu Fenglin Liu Tianshu Liu Tianshu Liu
author_facet	Shan Yu Yan Wang Ke Peng Minzhi Lyu Minzhi Lyu Fenglin Liu Tianshu Liu Tianshu Liu
author_sort	Shan Yu
title	Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
title_short	Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
title_full	Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
title_fullStr	Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
title_full_unstemmed	Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm
title_sort	establishment of a prognostic signature of stromal/immune-related genes for gastric adenocarcinoma based on estimate algorithm
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/6409c34d9b8948188852313ca64368b2
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Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm

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