Comprehensive analysis of pyroptosis‐related gene signatures for glioblastoma immune microenvironment and target therapy

Author:

Wang Zeyu123,Dai Ziyu12,Zhang Hao12,Zhang Nan14,Liang Xisong12,Peng Luo5ORCID,Zhang Jian6,Liu Zaoqu6,Peng Yun78,Cheng Quan12ORCID,Liu Zhixiong12

Affiliation:

1. Department of Neurosurgery, Xiangya Hospital Central South University Changsha China

2. National Clinical Research Center for Geriatric Disorders Changsha China

3. MRC Centre for Regenerative Medicine, Institute for Regeneration and Repair University of Edinburgh Edinburgh UK

4. One‐Third Lab, College of Bioinformatics Science and Technology Harbin Medical University Harbin China

5. Department of Oncology, Zhujiang Hospital Southern Medical University Guangzhou China

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

7. Department of Geriatrics, Xiangya Hospital Central South University Changsha China

8. Teaching and Research Section of Clinical Nursing Xiangya Hospital of Central South University Changsha China

Abstract

AbstractGlioblastoma (GBM) is a malignant brain tumour, but its subtypes (mesenchymal, classical, and proneural) show different prognoses. Pyroptosis is a programmed cell death relating to tumour progression, but its association with GBM is poorly understood. In this work, we collected 73 GBM samples (the Xiangya GBM cohort) and reported that pyroptosis involves tumour‐microglia interaction and tumour response to interferon‐gamma. GBM samples were grouped into different subtypes, cluster 1 and cluster 2, based on pyroptosis‐related genes. Cluster 1 samples manifested a worse prognosis and had a more complicated immune landscape than cluster 2 samples. Single‐cell RNA‐seq data analysis supported that cluster 1 samples respond to interferon‐gamma more actively. Moreover, the machine learning algorithm screened several potential compounds, including nutlin‐3, for cluster 1 samples as a novel treatment. In vitro experiments supported that cluster 1 cell line, T98G, is more sensitive to nutlin‐3 than cluster 2 cell line, LN229. Nutlin‐3 can trigger oxidative stress by increasing DHCR24 expression. Moreover, pyroptosis‐resistant genes were upregulated in LN229, which may participate against nutlin‐3. Therefore, we hypothesis that GBM may be able to upregulate pyroptosis resistant related genes to against nutlin‐3‐triggered cell death. In summary, we conclude that pyroptosis highly associates with GBM progression, tumour immune landscape, and tumour response to nutlin‐3.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,General Medicine

Reference84 articles.

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