Combining single-cell and bulk RNA sequencing data to create a reliable prognostic model for predicting clear-cell renal cell carcinoma progression
We developed a valuable predictive tool for ccRCC progression, which can help estimate the survival period of patients with renal cancer and aid in the clinical diagnosis and targeted therapy of tumors.
Authors
- Jingwen Liu (ORCID: https://orcid.org/0009-0005-8220-0253)
- Zengnan Mo (ORCID: https://orcid.org/0000-0002-3047-3138)
- Daniel Mai (ORCID: https://orcid.org/0000-0003-4787-8964)
- Yongchen Li (ORCID: https://orcid.org/0009-0008-5740-3229)
- Chao Wang (ORCID: https://orcid.org/0000-0002-5898-9283)
- Rui Tan (ORCID: https://orcid.org/0000-0001-6423-6264)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Translational Andrology and Urology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/tau-2025-442
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00