Identification of cancer-associated fibroblast characteristics for predicting outcome and response to immunotherapy in renal cell carcinoma
Our study provided valuable CAF signatures for predicting the outcome of KIRC and KIRP patients. These CAF signatures were also used to predict immunotherapy response, providing strategies for individualized therapy of patients.
Authors
- Jan‐Show Chu (ORCID: https://orcid.org/0000-0003-4872-4801)
- Jing Zhou (ORCID: https://orcid.org/0000-0002-8420-5462)
- Chunxiang Li (ORCID: https://orcid.org/0000-0002-6325-1080)
- Lei Qian (ORCID: https://orcid.org/0000-0002-2128-9048)
Publication Details
- Journal
- Computer Methods in Biomechanics & Biomedical Engineering
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1080/10255842.2025.2495299
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.09