| Autor: |
Yu Zeng, Yonghua Cai, Peng Chai, Yangqi Mao, Yanwen Chen, Li Wang, Kunlin Zeng, Ziling Zhan, Yuxin Xie, Cuiying Li, Hongchao Zhan, Liqian Zhao, Xiaoxia Chen, Xiaoxia Zhu, Yu Liu, Ming Chen, Ye Song, Aidong Zhou |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Frontiers in Immunology, Vol 13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1664-3224 |
| DOI: |
10.3389/fimmu.2022.961933 |
| Popis: |
BackgroundPyroptosis is a critical type of programmed cell death that is strongly associated with the regulation of tumor and immune cell functions. However, the role of pyroptosis in tumor progression and remodeling of the tumor microenvironment in gliomas has not been extensively studied. Thus, in this study, we aimed to establish a comprehensive pyroptosis-related signature and uncover its potential clinical application in gliomas.MethodsThe TCGA glioma cohort was obtained and divided into training and internal validation cohorts, while the CGGA glioma cohort was used as an external validation cohort. Unsupervised consensus clustering was performed to identify pyroptosis-related expression patterns. A Cox regression analysis was performed to establish a pyroptosis-related risk signature. Real-time quantitative PCR was performed to analyze the expression of signature genes in glioma tissues. Immune infiltration was analyzed and validated by immunohistochemical staining. The expression patterns of signature genes in different cell types were analyzed using single-cell RNA sequencing data. Finally, therapeutic responses to chemotherapy, immunotherapy, and potential small-molecule inhibitors were investigated.ResultsPatients with glioma were stratified into clusters 1 and 2 based on the expression patterns of pyroptosis-related genes. Cluster 2 showed a longer overall (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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