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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Wiley
2023-08-01
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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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format | Article |
id | doaj.art-4656615a1590400c8c41f207cbb0656b |
institution | Directory Open Access Journal |
issn | 2770-596X |
language | English |
last_indexed | 2024-03-12T14:08:34Z |
publishDate | 2023-08-01 |
publisher | Wiley |
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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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