Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma

Abstract The immune system is an interacting network of plentiful molecules that could better characterize the relationship between immunity and cancer. This study aims to investigate the behavioral patterns of immune‐related interaction perturbation networks in glioblastoma. An immune‐related inter...

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Main Authors: Zaoqu Liu, Yudi Xu, Yuhui Wang, Siyuan Weng, Hui Xu, Yuqing Ren, Chunguang Guo, Long Liu, Zhenyu Zhang, Xinwei Han
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:iMeta
Subjects:
Online Access:https://doi.org/10.1002/imt2.127
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author Zaoqu Liu
Yudi Xu
Yuhui Wang
Siyuan Weng
Hui Xu
Yuqing Ren
Chunguang Guo
Long Liu
Zhenyu Zhang
Xinwei Han
author_facet Zaoqu Liu
Yudi Xu
Yuhui Wang
Siyuan Weng
Hui Xu
Yuqing Ren
Chunguang Guo
Long Liu
Zhenyu Zhang
Xinwei Han
author_sort Zaoqu Liu
collection DOAJ
description Abstract The immune system is an interacting network of plentiful molecules that could better characterize the relationship between immunity and cancer. This study aims to investigate the behavioral patterns of immune‐related interaction perturbation networks in glioblastoma. An immune‐related interaction‐perturbation framework was introduced to characterize four heterogeneous subtypes using RNA‐seq data of TCGA/CGGA glioblastoma tissues and GTEx normal brain tissues. The stability and robustness of the four subtypes were validated in public datasets and our in‐house cohort. In the four subtypes, C1 was an inflammatory subtype with high immune infiltration, low tumor purity, and potential response to immunotherapy; C2, an invasive subtype, was featured with dismal prognosis, telomerase reverse transcriptase promoter mutations, moderate levels of immunity, and stromal constituents, as well as sensitivity to receptor tyrosine kinase signaling inhibitors; C3 was a proliferative subtype with high tumor purity, immune‐desert microenvironment, sensitivity to phosphatidylinositol 3′‐kinase signaling inhibitor and DNA replication inhibitors, and potential resistance to immunotherapy; C4, a synaptogenesis subtype with the best prognosis, exhibited high synaptogenesis‐related gene expression, prevalent isocitrate dehydrogenase mutations, and potential sensitivity to radiotherapy and chemotherapy. Overall, this study provided an attractive platform from the perspective of immune‐related interaction perturbation networks, which might advance the tailored management of glioblastoma.
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spelling doaj.art-4656615a1590400c8c41f207cbb0656b2023-08-21T10:57:32ZengWileyiMeta2770-596X2023-08-0123n/an/a10.1002/imt2.127Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastomaZaoqu Liu0Yudi Xu1Yuhui Wang2Siyuan Weng3Hui Xu4Yuqing Ren5Chunguang Guo6Long Liu7Zhenyu Zhang8Xinwei Han9Department of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Neurology The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Clinical Laboratory The Third Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Endovascular Surgery The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Hepatobiliary and Pancreatic Surgery The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Neurosurgery The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaDepartment of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou ChinaAbstract The immune system is an interacting network of plentiful molecules that could better characterize the relationship between immunity and cancer. This study aims to investigate the behavioral patterns of immune‐related interaction perturbation networks in glioblastoma. An immune‐related interaction‐perturbation framework was introduced to characterize four heterogeneous subtypes using RNA‐seq data of TCGA/CGGA glioblastoma tissues and GTEx normal brain tissues. The stability and robustness of the four subtypes were validated in public datasets and our in‐house cohort. In the four subtypes, C1 was an inflammatory subtype with high immune infiltration, low tumor purity, and potential response to immunotherapy; C2, an invasive subtype, was featured with dismal prognosis, telomerase reverse transcriptase promoter mutations, moderate levels of immunity, and stromal constituents, as well as sensitivity to receptor tyrosine kinase signaling inhibitors; C3 was a proliferative subtype with high tumor purity, immune‐desert microenvironment, sensitivity to phosphatidylinositol 3′‐kinase signaling inhibitor and DNA replication inhibitors, and potential resistance to immunotherapy; C4, a synaptogenesis subtype with the best prognosis, exhibited high synaptogenesis‐related gene expression, prevalent isocitrate dehydrogenase mutations, and potential sensitivity to radiotherapy and chemotherapy. Overall, this study provided an attractive platform from the perspective of immune‐related interaction perturbation networks, which might advance the tailored management of glioblastoma.https://doi.org/10.1002/imt2.127glioblastomaimmune networkimmunotherapymolecular subtypes
spellingShingle Zaoqu Liu
Yudi Xu
Yuhui Wang
Siyuan Weng
Hui Xu
Yuqing Ren
Chunguang Guo
Long Liu
Zhenyu Zhang
Xinwei Han
Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
iMeta
glioblastoma
immune network
immunotherapy
molecular subtypes
title Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
title_full Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
title_fullStr Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
title_full_unstemmed Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
title_short Immune‐related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
title_sort immune related interaction perturbation networks unravel biological peculiars and clinical significance of glioblastoma
topic glioblastoma
immune network
immunotherapy
molecular subtypes
url https://doi.org/10.1002/imt2.127
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