A novel tumor-progressing fibroblast signature derived from single-cell RNA sequencing enables prognostic stratification and reveals RNF11 as a functional regulator in bladder cancer
We established a CAF-based prognostic model that integrates single-cell insights with bulk transcriptomics for robust risk stratification in BLCA. The TPFR model shows clinical utility particularly in elderly and early-stage patients. Functional characterization showed that RNF11 regulates proliferation and migration of bladder cancer. These findings highlight the prognostic value of CAF signatures and provide a framework for precision medicine approaches in bladder cancer management.
Authors
- Xu He (ORCID: https://orcid.org/0000-0001-7311-7654)
- Jie Chen (ORCID: https://orcid.org/0000-0002-3509-2975)
- Liangbin Lin (ORCID: https://orcid.org/0000-0003-0455-2569)
- Hui Zhuo (ORCID: https://orcid.org/0009-0005-7909-4074)
- Min Cao
- Xu Su
- Fangyang Zhong
- Miaoyu Zhang
- Xianchao Su
- Kui Zeng
- Hui Yu
Institutions
- Third People's Hospital of Chengdu (CN)
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fmolb.2025.1722809
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation