Machine learning developed regulatory T cells-related signature for prognosis and immunotherapy benefit in oral squamous cell carcinoma
This research established an optimal TRS for OSCC, which functions as a valuable indicator for forecasting clinical outcomes and assessing potential benefits from immunotherapy.
Authors
- Azhu Duan
- Yicai Zheng (ORCID: https://orcid.org/0000-0002-1948-109X)
- G. Y. Xiao
Institutions
- Fudan University (CN)
- Shanghai Stomatological Hospital (CN)
- Shanghai Children's Hospital (CN)
Publication Details
- Journal
- American Journal of Otolaryngology
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1016/j.amjoto.2025.104670
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05