Constructing a bladder cancer prognostic model related to exosome using machine learning and identifying THBS1 as a potential target
This study establishes the first machine learning-based exosomal prognostic system for BCa and identifies THBS1 as both a potential biomarker and therapeutic target. The combined computational and experimental methodology offers a new approach for personalized BCa treatment strategies.
Authors
- Fu‐Chun Zheng (ORCID: https://orcid.org/0000-0003-3184-3054)
- Zhaojin Deng (ORCID: https://orcid.org/0009-0008-4681-9480)
- Zhijun Yao (ORCID: https://orcid.org/0000-0003-0057-0831)
- Zhuo Ma (ORCID: https://orcid.org/0000-0002-3424-0139)
- Xueting Tao (ORCID: https://orcid.org/0000-0003-1012-208X)
- Hangjia Shen
- Xiao Tang (ORCID: https://orcid.org/0000-0002-5960-1148)
Institutions
- Nanchang University (CN)
- Hengyang Normal University (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1186/s12935-025-04027-y
- Citations
- 1
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.81