Identification and validation of a novel robust glioblastoma prognosis model based on bioinformatics
We constructed and validated a novel prognostic model for GBM. Aging, macrophage, autophagy, and methylation related genes may serve as prognostic and therapeutic biomarkers. The model developed may assist in guiding treatment for GBM patients. Our research had great significance in accurately predicting the prognosis of GBM and may offer reference for immunotherapy decision for GBM patients.
Authors
- Le Zhang (ORCID: https://orcid.org/0009-0008-0205-2150)
- Yahong Wang (ORCID: https://orcid.org/0000-0003-3214-8766)
- Hua Yan (ORCID: https://orcid.org/0000-0003-3482-0261)
- Xiaoling Yan (ORCID: https://orcid.org/0000-0002-9889-4481)
- Yan Yan (ORCID: https://orcid.org/0009-0009-0033-7379)
- Qin Wang (ORCID: https://orcid.org/0009-0004-3954-7879)
Institutions
- Tianjin University (CN)
- Tianjin Huanhu Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e37374
- Citations
- 3
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- National Natural Science Foundation of China