Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma
The CDS signature unravels the molecular interplay between glioma cell death heterogeneity, immune dysregulation, and therapeutic resistance. This biomarker system provides both prognostic and therapeutic insights for precision oncology, paving the way for personalized combination therapies in glioma management.
Authors
- Guolin Shi (ORCID: https://orcid.org/0000-0003-4404-725X)
- Yongtao Yang (ORCID: https://orcid.org/0000-0001-6508-0804)
- Wenhu Li (ORCID: https://orcid.org/0000-0002-7795-5003)
- Ruiqi Peng
- Ninghui Zhao (ORCID: https://orcid.org/0000-0002-1797-2071)
- Ying Cheng (ORCID: https://orcid.org/0000-0001-9908-597X)
- Yan Li (ORCID: https://orcid.org/0000-0003-0420-4222)
- Kai Zhao (ORCID: https://orcid.org/0000-0002-9662-375X)
- Minhao Huang
- Hui Ma (ORCID: https://orcid.org/0000-0002-7299-0897)
- Kexin Mao
- Tingting Wu (ORCID: https://orcid.org/0009-0005-2012-5761)
Institutions
- Yunnan University (CN)
- Kunming Medical University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3389/fcell.2025.1677290
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00