Integrating machine learning and Mendelian randomization for identifying genetic biomarkers in bladder cancer: implications for early diagnosis and targeted therapies
This study demonstrates the power of combining machine learning and MR to uncover genetic biomarkers for BC. FAM107A emerges as a promising diagnostic and therapeutic target, offering new insights for personalized BC treatment strategies.
Authors
- Chaojie Xu (ORCID: https://orcid.org/0000-0001-9609-1848)
- Yuchen Liu (ORCID: https://orcid.org/0000-0002-6231-4414)
- C Zhang
- Changning Lv
- Chen Li
- Jiou Li
- Lin Yao
- Ying Dong
- Liqun Zhou
Institutions
- Guangxi Medical University (CN)
- Peking University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Peking University First Hospital (CN)
- Shenzhen University Health Science Center (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1097/js9.0000000000003833
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00