Comprehensive analysis of immune escape-related prognostic signature in high-grade glioma
This study constructed a prognostic model related to immune escape through multiple machine learning methods and verified its clinical application value in HGG patients. It provides a theoretical basis for the exploration of immune escape treatment targets.
Authors
- Chunyan Ren (ORCID: https://orcid.org/0000-0002-3913-2479)
- Zeshang Guo
- Xinyu Hong (ORCID: https://orcid.org/0000-0002-6441-9607)
- Yanhua Liu (ORCID: https://orcid.org/0000-0003-1104-284X)
- Jinxiu Cai (ORCID: https://orcid.org/0000-0002-0516-7163)
Institutions
- First Bethune Hospital of Jilin University (CN)
- Jining Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1007/s12672-025-03572-2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00