Prognostic modeling of disulfidptosis gene-associated lncRNAs aids in identifying the tumor microenvironment and guiding the selection of therapy
This research sheds light on the characteristics of disulfidoptosis in glioma, revealing that patterns of disulfidoptosis in patients can be effectively assessed using a risk score. Consequently, the judicious application of this prognostic model can significantly inform clinical treatment strategies and precision medicine for glioma, potentially improving patient outcomes.
Authors
- Lin Dai (ORCID: https://orcid.org/0000-0003-1242-4890)
- Rong Huang (ORCID: https://orcid.org/0000-0001-6256-7481)
- Bin Wang (ORCID: https://orcid.org/0000-0001-7419-5080)
- Ying Jiang (ORCID: https://orcid.org/0000-0003-0182-4071)
- Xueping Huang (ORCID: https://orcid.org/0009-0001-9851-0097)
- Kaihan Deng
Institutions
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Songjiang District Central Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1007/s12672-025-02033-0
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.00