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

Author:

Liu Zaoqu123ORCID,Xu Yudi4,Wang Yuhui5,Weng Siyuan1,Xu Hui1,Ren Yuqing6,Guo Chunguang7,Liu Long8,Zhang Zhenyu9,Han Xinwei123ORCID

Affiliation:

1. Department of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou China

2. Interventional Institute of Zhengzhou University Zhengzhou China

3. Interventional Treatment and Clinical Research Center of Henan Province Zhengzhou China

4. Department of Neurology The First Affiliated Hospital of Zhengzhou University Zhengzhou China

5. Department of Clinical Laboratory The Third Affiliated Hospital of Zhengzhou University Zhengzhou China

6. Department of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou University Zhengzhou China

7. Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou University Zhengzhou China

8. Department of Hepatobiliary and Pancreatic Surgery The First Affiliated Hospital of Zhengzhou University Zhengzhou China

9. Department of Neurosurgery The First Affiliated Hospital of Zhengzhou University Zhengzhou China

Abstract

AbstractThe 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.

Publisher

Wiley

Subject

Microbiology,Biotechnology

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