CC/CXC chemokine risk signature at single-cell resolution: a machine learning model for precision stratification in cervical cancer
This study constructed the first CRGs-derived risk signature and revealed its role in tumor-immune-stromal crosstalk at single-cell resolution. The signature reflects tumor-immune interactions and therapeutic vulnerabilities, providing a basis for clinical risk stratification and personalized immunotherapy strategies.
Authors
- Qingxue Zhou (ORCID: https://orcid.org/0000-0002-9404-7082)
- Bing Xu (ORCID: https://orcid.org/0000-0002-7271-4438)
- Xinyan Shi (ORCID: https://orcid.org/0000-0003-4671-3981)
- Yanfei Liu (ORCID: https://orcid.org/0000-0001-7706-6495)
- Lin Xu (ORCID: https://orcid.org/0000-0002-2153-4840)
Institutions
- Hangzhou Women’s Hospital (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/tcr-2025-1137
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00