Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma
We developed and validated a 13-gene prognostic model that integrates metastasis-related processes, improves survival prediction, and identifies therapeutic opportunities in OSCC.
Authors
- Hai‐Qiang Wang (ORCID: https://orcid.org/0000-0002-7752-6217)
- Mengwen Hou
- Guosen Zhang (ORCID: https://orcid.org/0000-0001-6214-6986)
- Jihui Jia (ORCID: https://orcid.org/0000-0002-5529-8735)
- Ruohan Yun (ORCID: https://orcid.org/0000-0002-0232-0257)
- Yuanyuan Dai
- Yang An (ORCID: https://orcid.org/0000-0002-9335-6975)
- Xu Han (ORCID: https://orcid.org/0000-0002-8967-4372)
- Dayong Wang (ORCID: https://orcid.org/0000-0002-2526-1317)
- Xiangyuan Feng
- Min Jiao (ORCID: https://orcid.org/0000-0001-5496-7995)
- Shuo Jiang (ORCID: https://orcid.org/0009-0000-4149-6493)
- Man Yue (ORCID: https://orcid.org/0009-0008-6748-6259)
- Tiantian Sun
Institutions
- Henan University (CN)
- First Affiliated Hospital of Henan University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1186/s12967-025-07336-y
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00