A nomogram integrating mutation signatures and clinical features for prognostic stratification in bladder cancer
The model incorporating mutation signatures and clinical factors demonstrated accuracy in predicting changing cancer survival risk over time.This suggests that the model has the potential to serve as a valuable prognostic tool for BLCA.
Authors
- Jiayue Qin (ORCID: https://orcid.org/0000-0003-4721-0016)
- Dingkun Hou
- Hongzheng Li (ORCID: https://orcid.org/0000-0002-3459-9539)
- Kaibin Wang (ORCID: https://orcid.org/0000-0001-7716-3850)
- Haitao Wang (ORCID: https://orcid.org/0000-0001-6910-974X)
- Huanhuan Liu (ORCID: https://orcid.org/0000-0001-9010-3748)
- Shanbo Cao
- Lili Wang (ORCID: https://orcid.org/0009-0009-1660-3678)
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Beijing VDJBio (China) (CN)
- Second Hospital of Tianjin Medical University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1007/s12672-025-03338-w
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00