Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis

Immunotherapy resistance is a major barrier in the application of immune checkpoint inhibitors (ICI) in lung adenocarcinoma (LUAD) patients. Although recent studies have found several mechanisms and potential genes responsible for immunotherapy resistance, ways to solve this problem are still lackin...

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Main Authors: Weina Yu, Fengsen Liu, Qingyang Lei, Peng Wu, Li Yang, Yi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.814014/full
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author Weina Yu
Weina Yu
Weina Yu
Fengsen Liu
Fengsen Liu
Fengsen Liu
Qingyang Lei
Qingyang Lei
Qingyang Lei
Peng Wu
Peng Wu
Peng Wu
Li Yang
Li Yang
Li Yang
Yi Zhang
Yi Zhang
Yi Zhang
Yi Zhang
author_facet Weina Yu
Weina Yu
Weina Yu
Fengsen Liu
Fengsen Liu
Fengsen Liu
Qingyang Lei
Qingyang Lei
Qingyang Lei
Peng Wu
Peng Wu
Peng Wu
Li Yang
Li Yang
Li Yang
Yi Zhang
Yi Zhang
Yi Zhang
Yi Zhang
author_sort Weina Yu
collection DOAJ
description Immunotherapy resistance is a major barrier in the application of immune checkpoint inhibitors (ICI) in lung adenocarcinoma (LUAD) patients. Although recent studies have found several mechanisms and potential genes responsible for immunotherapy resistance, ways to solve this problem are still lacking. Tumor immune dysfunction and exclusion (TIDE) algorithm is a newly developed method to calculate potential regulators and indicators of ICI resistance. In this article, we combined TIDE and weighted gene co-expression network analysis (WGCNA) to screen potential modules and hub genes that are highly associated with immunotherapy resistance using the Cancer Genome Atlas (TCGA) dataset of LUAD patients. We identified 45 gene co-expression modules, and the pink module was most correlated with TIDE score and other immunosuppressive features. After considering the potential factors in immunotherapy resistance, we found that the pink module was also highly related to cancer stemness. Further analysis showed enriched immunosuppressive cells in the extracellular matrix (ECM), immunotherapy resistance indicators, and common cancer-related signaling pathways in the pink module. Seven hub genes in the pink module were shown to be significantly upregulated in tumor tissues compared with normal lung tissue, and were related to poor survival of LUAD patients. Among them, THY1 was the gene most associated with TIDE score, a gene highly related to suppressive immune states, and was shown to be strongly expressed in late-stage patients. Immunohistochemistry (IHC) results demonstrated that THY1 level was higher in the progressive disease (PD) group of LUAD patients receiving a PD-1 monoclonal antibody (mAb) and positively correlated with SOX9. Collectively, we identified that THY1 could be a critical biomarker in predicting ICI efficiency and a potential target for avoiding tumor immunotherapy resistance.
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spelling doaj.art-7ab40b5fda1a421b81fcb452bddd45a82022-12-22T04:03:29ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-01-011110.3389/fonc.2021.814014814014Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA AnalysisWeina Yu0Weina Yu1Weina Yu2Fengsen Liu3Fengsen Liu4Fengsen Liu5Qingyang Lei6Qingyang Lei7Qingyang Lei8Peng Wu9Peng Wu10Peng Wu11Li Yang12Li Yang13Li Yang14Yi Zhang15Yi Zhang16Yi Zhang17Yi Zhang18Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou University, Zhengzhou, ChinaState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, ChinaSchool of Life Sciences, Zhengzhou University, Zhengzhou, ChinaImmunotherapy resistance is a major barrier in the application of immune checkpoint inhibitors (ICI) in lung adenocarcinoma (LUAD) patients. Although recent studies have found several mechanisms and potential genes responsible for immunotherapy resistance, ways to solve this problem are still lacking. Tumor immune dysfunction and exclusion (TIDE) algorithm is a newly developed method to calculate potential regulators and indicators of ICI resistance. In this article, we combined TIDE and weighted gene co-expression network analysis (WGCNA) to screen potential modules and hub genes that are highly associated with immunotherapy resistance using the Cancer Genome Atlas (TCGA) dataset of LUAD patients. We identified 45 gene co-expression modules, and the pink module was most correlated with TIDE score and other immunosuppressive features. After considering the potential factors in immunotherapy resistance, we found that the pink module was also highly related to cancer stemness. Further analysis showed enriched immunosuppressive cells in the extracellular matrix (ECM), immunotherapy resistance indicators, and common cancer-related signaling pathways in the pink module. Seven hub genes in the pink module were shown to be significantly upregulated in tumor tissues compared with normal lung tissue, and were related to poor survival of LUAD patients. Among them, THY1 was the gene most associated with TIDE score, a gene highly related to suppressive immune states, and was shown to be strongly expressed in late-stage patients. Immunohistochemistry (IHC) results demonstrated that THY1 level was higher in the progressive disease (PD) group of LUAD patients receiving a PD-1 monoclonal antibody (mAb) and positively correlated with SOX9. Collectively, we identified that THY1 could be a critical biomarker in predicting ICI efficiency and a potential target for avoiding tumor immunotherapy resistance.https://www.frontiersin.org/articles/10.3389/fonc.2021.814014/fullLUADWGCNATIDEimmunotherapy resistancecancer stem cell
spellingShingle Weina Yu
Weina Yu
Weina Yu
Fengsen Liu
Fengsen Liu
Fengsen Liu
Qingyang Lei
Qingyang Lei
Qingyang Lei
Peng Wu
Peng Wu
Peng Wu
Li Yang
Li Yang
Li Yang
Yi Zhang
Yi Zhang
Yi Zhang
Yi Zhang
Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
Frontiers in Oncology
LUAD
WGCNA
TIDE
immunotherapy resistance
cancer stem cell
title Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
title_full Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
title_fullStr Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
title_full_unstemmed Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
title_short Identification of Key Pathways and Genes Related to Immunotherapy Resistance of LUAD Based on WGCNA Analysis
title_sort identification of key pathways and genes related to immunotherapy resistance of luad based on wgcna analysis
topic LUAD
WGCNA
TIDE
immunotherapy resistance
cancer stem cell
url https://www.frontiersin.org/articles/10.3389/fonc.2021.814014/full
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