Integrating multi-cohort machine learning and clinical sample validation to explore peripheral blood mRNA diagnostic biomarkers for prostate cancer
Through an integrated machine learning approach and clinical validation, we developed an RNA-based diagnostic panel for PCa. Specifically, we identified AOX1 and B3GNT8 as novel liquid biopsy biomarkers with promising clinical diagnostic value. These findings provide new targets and insights for early and precise PCa diagnosis.
Authors
- Qi‐Dong Xia (ORCID: https://orcid.org/0000-0002-2278-1122)
- Hao‐Dong He
- Xing‐Yu Zhong (ORCID: https://orcid.org/0000-0002-4580-186X)
- Mingliang Zhong
- Shaogang Wang (ORCID: https://orcid.org/0000-0002-3206-1495)
- Yuxuan Yang (ORCID: https://orcid.org/0000-0002-6799-0729)
- Yifan Xiong (ORCID: https://orcid.org/0000-0002-0544-049X)
Institutions
- Tongji Hospital (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1186/s12935-025-03788-w
- Citations
- 9
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 8.43
Funders
- Natural Science Foundation of Hubei Province