Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer

BackgroundGastric cancer (GC) is an aggressive malignant tumor with a high degree of heterogeneity, and its immune microenvironment is closely associated with tumor growth, development and drug resistance. Therefore, a classification system of gastric cancer based explicitly on the immune microenvir...

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Main Authors: Li-Hong Wu, Xiang-Xu Wang, Yan Wang, Jing Wei, Zi-Rong Liang, Xi Yan, Jun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Surgery
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1088292/full
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author Li-Hong Wu
Xiang-Xu Wang
Yan Wang
Jing Wei
Zi-Rong Liang
Xi Yan
Jun Wang
author_facet Li-Hong Wu
Xiang-Xu Wang
Yan Wang
Jing Wei
Zi-Rong Liang
Xi Yan
Jun Wang
author_sort Li-Hong Wu
collection DOAJ
description BackgroundGastric cancer (GC) is an aggressive malignant tumor with a high degree of heterogeneity, and its immune microenvironment is closely associated with tumor growth, development and drug resistance. Therefore, a classification system of gastric cancer based explicitly on the immune microenvironment context might enrich the strategy for gastric cancer prognosis and therapy.MethodsA total of 668 GC patients were collected from TCGA-STAD (n = 350), GSE15459 (n = 192), GSE57303 (n = 70) and GSE34942 (n = 56) datasets. Three immune-related subtypes (immunity-H, -M, and -L) were identified by hierarchical cluster analysis based on the ssGSEA score of 29 immune microenvironment-related gene sets. The immune microenvironment-related prognosis signature (IMPS) was constructed via univariate Cox regression, Lasso-Cox regression and multivariate Cox regression, and nomogram model combining IMPS and clinical variables was further constructed by the “rms” package. RT-PCR was applied to validate the expression of 7 IMPS genes between two human GC cell lines (AGS and MKN45) and one normal gastric epithelial cell line (GES-1).ResultsThe patients classified as immunity-H subtype exhibited highly expressed immune checkpoint and HLA-related genes, with enriched naïve B cells, M1 macrophages and CD8 T cells. We further constructed and validated a 7-gene (CTLA4, CLDN6, EMB, GPR15, ENTPD2, VWF and AKR1B1) prognosis signature, termed as IMPS. The patients with higher IMPS expression were more likely to be associated with higher pathology grade, more advanced TNM stages, higher T and N stage, and higher ratio of death. In addition, the prediction values of the combined nomogram in predicting 1-year (AUC = 0.750), 3-year (AUC = 0.764) and 5-year (AUC = 0.802) OS was higher than IMPS and individual clinical characteristics.ConclusionsThe IMPS is a novel prognosis signature associated with the immune microenvironment and clinical characteristics. The IMPS and the combined nomogram model provide a relatively reliable predictive index for predicting the survival outcomes of gastric cancer.
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spelling doaj.art-7cd2cc3afd7749a6a57e2386c96a419d2023-03-31T06:05:24ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2023-03-011010.3389/fsurg.2023.10882921088292Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancerLi-Hong Wu0Xiang-Xu Wang1Yan Wang2Jing Wei3Zi-Rong Liang4Xi Yan5Jun Wang6Xijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaXijing Hospital, Fourth Military Medical University, Xi’an, ChinaXijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaXijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaXijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaXijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaXijing 986 Hospital Department, Fourth Military Medical University, Xi’an, ChinaBackgroundGastric cancer (GC) is an aggressive malignant tumor with a high degree of heterogeneity, and its immune microenvironment is closely associated with tumor growth, development and drug resistance. Therefore, a classification system of gastric cancer based explicitly on the immune microenvironment context might enrich the strategy for gastric cancer prognosis and therapy.MethodsA total of 668 GC patients were collected from TCGA-STAD (n = 350), GSE15459 (n = 192), GSE57303 (n = 70) and GSE34942 (n = 56) datasets. Three immune-related subtypes (immunity-H, -M, and -L) were identified by hierarchical cluster analysis based on the ssGSEA score of 29 immune microenvironment-related gene sets. The immune microenvironment-related prognosis signature (IMPS) was constructed via univariate Cox regression, Lasso-Cox regression and multivariate Cox regression, and nomogram model combining IMPS and clinical variables was further constructed by the “rms” package. RT-PCR was applied to validate the expression of 7 IMPS genes between two human GC cell lines (AGS and MKN45) and one normal gastric epithelial cell line (GES-1).ResultsThe patients classified as immunity-H subtype exhibited highly expressed immune checkpoint and HLA-related genes, with enriched naïve B cells, M1 macrophages and CD8 T cells. We further constructed and validated a 7-gene (CTLA4, CLDN6, EMB, GPR15, ENTPD2, VWF and AKR1B1) prognosis signature, termed as IMPS. The patients with higher IMPS expression were more likely to be associated with higher pathology grade, more advanced TNM stages, higher T and N stage, and higher ratio of death. In addition, the prediction values of the combined nomogram in predicting 1-year (AUC = 0.750), 3-year (AUC = 0.764) and 5-year (AUC = 0.802) OS was higher than IMPS and individual clinical characteristics.ConclusionsThe IMPS is a novel prognosis signature associated with the immune microenvironment and clinical characteristics. The IMPS and the combined nomogram model provide a relatively reliable predictive index for predicting the survival outcomes of gastric cancer.https://www.frontiersin.org/articles/10.3389/fsurg.2023.1088292/fullimmune microenvironmentgastric cancerssGSEA analysisnomogramprognosis signature
spellingShingle Li-Hong Wu
Xiang-Xu Wang
Yan Wang
Jing Wei
Zi-Rong Liang
Xi Yan
Jun Wang
Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
Frontiers in Surgery
immune microenvironment
gastric cancer
ssGSEA analysis
nomogram
prognosis signature
title Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
title_full Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
title_fullStr Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
title_full_unstemmed Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
title_short Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
title_sort construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer
topic immune microenvironment
gastric cancer
ssGSEA analysis
nomogram
prognosis signature
url https://www.frontiersin.org/articles/10.3389/fsurg.2023.1088292/full
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