A multi-omics pipeline integrating machine learning and spatial-cellular analysis identifies SASH1 as a prognostic biomarker and therapeutic target in head and neck squamous cell carcinoma
By systematically integrating multi-platform transcriptomics, machine learning, and multi-dimensional validation, this study identifies SASH1 as a robust prognostic biomarker and a potential predictor of therapeutic response in HNSCC. The established multi-omics pipeline provides a meaningful framework for biomarker discovery and highlights SASH1 as a promising target for advancing precision medicine in HNSCC.
Authors
- Ziwei Dai (ORCID: https://orcid.org/0000-0002-0858-638X)
- Yifan Kang (ORCID: https://orcid.org/0000-0001-6438-8137)
- Zhigang Cai (ORCID: https://orcid.org/0000-0001-7657-8843)
- Shang Xie (ORCID: https://orcid.org/0000-0003-1461-695X)
- Xiaofeng Shan (ORCID: https://orcid.org/0000-0002-2126-8052)
- Yutong Chen (ORCID: https://orcid.org/0000-0002-2013-0772)
- Qiushi Feng (ORCID: https://orcid.org/0009-0007-4022-4307)
Institutions
- Peking University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1097/js9.0000000000003647
- Citations
- 3
- Primary Topic
- Peptidase Inhibition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.14