Integrating cell-free DNA methylation of SEPT9 and SFRP2 into a machine learning model for early diagnosis of HCC
The RF-based model integrating mSEPT9/mSFRP2 in cfDNA can be a promising approach for HCC diagnosis.
Authors
- Weiwei Li (ORCID: https://orcid.org/0000-0001-5481-5908)
- Dong Wang (ORCID: https://orcid.org/0000-0003-4278-2728)
- Yanru Feng (ORCID: https://orcid.org/0000-0001-6364-8400)
- Ji Zhu (ORCID: https://orcid.org/0000-0001-7134-9419)
- Zhihao Dai
- Weifeng Hong (ORCID: https://orcid.org/0000-0001-6640-2537)
- Quanquan Sun
- Tong Zhang (ORCID: https://orcid.org/0000-0002-2046-4502)
- Dong Liu (ORCID: https://orcid.org/0000-0001-6708-9845)
- Minghua Bai
- Liang Han (ORCID: https://orcid.org/0000-0003-3213-1729)
- Rui Wang (ORCID: https://orcid.org/0000-0002-4495-6405)
Institutions
- Hebei University of Engineering (CN)
- Chinese Academy of Sciences (CN)
- Zhejiang Cancer Hospital (CN)
- Suzhou Industrial Park Vocational Technical College (CN)
- CS Diagnostics (DE)
- University of Chinese Academy of Sciences (CN)
- Hangzhou Cancer Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Biomarkers in Medicine
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1080/17520363.2025.2541574
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Health Commission of the People's Republic of China