Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization
Integrating molecular and clinical criteria improves prognostication in Grade 4 gliomas. The predictive model developed in this study effectively identifies A4 tumors, facilitating more personalized therapeutic strategies.
Authors
- S Zhang
- Haihui Jiang (ORCID: https://orcid.org/0000-0002-8114-9741)
- Xiaohui Ren
- Qingyun Ren (ORCID: https://orcid.org/0000-0003-0000-0417)
- Ming Li
- Xiaohong Chen (ORCID: https://orcid.org/0000-0002-9797-8384)
- Yong Cui (ORCID: https://orcid.org/0000-0001-6056-9782)
- Mingxiao Li (ORCID: https://orcid.org/0000-0002-2715-4806)
- Song Lin (ORCID: https://orcid.org/0000-0001-5721-274X)
- Xijie Wang (ORCID: https://orcid.org/0000-0002-2035-4311)
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- Beijing Tian Tan Hospital (CN)
- Chinese Institute for Brain Research (CN)
- Peking University Third Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1007/s12672-025-01811-0
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Natural Science Foundation of China
- Capital Medical University
- Peking University
- Fundamental Research Funds for the Central Universities
- Beijing Tian Tan Hospital, Capital Medical University