Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer
In this study, we systematically constructed and validated a risk scoring model based on SiaTs-related genes, which can effectively predict the prognosis and potential response to immunotherapy and chemotherapy in CC patients. This provides a new molecular basis and clinical reference for achieving individualized treatment.
Authors
- Aiqin He (ORCID: https://orcid.org/0000-0001-9491-5233)
- Yaonan Tang
- Can Zhang (ORCID: https://orcid.org/0000-0003-3529-5438)
- Jia Shao (ORCID: https://orcid.org/0000-0001-9498-0537)
- Xuedi Cheng
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Nantong Tumor Hospital (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-05-22
- DOI
- https://doi.org/10.7717/peerj.19422
- Citations
- 1
- Primary Topic
- Glycosylation and Glycoproteins Research
- Type
- article
- Field-Weighted Citation Impact
- 0.81