A diagnostic model for non-invasive urothelial cancer early detection based on methylation of urinary tumor DNA
The UC diagnostic model demonstrates excellent diagnostic performance, particularly in the early detection of UC. This non-invasive approach, characterized by high sensitivity and specificity, holds significant potential for further clinical evaluation and development as a reliable tool for UC diagnosis using urine samples.
Authors
- Ningning Wu (ORCID: https://orcid.org/0000-0002-0272-1093)
- Yongfei Peng (ORCID: https://orcid.org/0000-0002-8121-2456)
- J. Zhao (ORCID: https://orcid.org/0000-0001-6408-2314)
- Anqi Zhang (ORCID: https://orcid.org/0000-0003-3602-7443)
- Zhenhua Wu (ORCID: https://orcid.org/0000-0003-4552-883X)
- Cheng Yan (ORCID: https://orcid.org/0000-0002-5021-6841)
- Yanwen Wang (ORCID: https://orcid.org/0000-0002-7986-4500)
- Siwen Liu (ORCID: https://orcid.org/0000-0003-1398-0143)
- Tianbao Li (ORCID: https://orcid.org/0000-0002-9560-5146)
- Hongyang Lei (ORCID: https://orcid.org/0009-0001-9705-4595)
- Guoquan Zhou
Institutions
- Kunming Medical University (CN)
- Second People's Hospital of Yunnan Province (CN)
- Beijing Biocytogen (China) (CN)
- Dali University (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1186/s12935-025-03766-2
- Citations
- 1
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01