Machine learning-based identification of histone deacetylase-associated prognostic factors and prognostic modeling for low-grade glioma
We developed an HDAC-related four-gene prognostic model that correlates with survival, immune landscape, and therapeutic response in LGG patients. This model may guide personalized treatment strategies and improve prognostic accuracy, warranting further validation in clinical settings.
Authors
- K.-Y. Wen
- Wei Wang (ORCID: https://orcid.org/0000-0001-6043-0860)
- Weijie Zhu (ORCID: https://orcid.org/0000-0003-2699-8377)
- Ziyi Luo (ORCID: https://orcid.org/0000-0003-1884-1484)
Institutions
- Longgang Central Hospital (CN)
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1007/s12672-024-01713-7
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.88