Machine learning–based cfDNA fragmentation profiling using automated capillary electrophoresis for early detection of hepatocellular carcinoma
CEliver provides a practical and accurate strategy for early HCC detection. By enabling high-dimensional cfDNA fragmentomics analysis on a widely accessible electrophoresis platform, it bridges the gap between research-grade cfDNA technologies and real-world clinical implementation. This method represents a simple and scalable approach that could potentially be applied in HCC surveillance.
Authors
- Pathacha Suksakit (ORCID: https://orcid.org/0000-0003-1025-2124)
- Thanapak Jaimalai
- Petlada Yongpitakwattana (ORCID: https://orcid.org/0000-0001-5833-4028)
- Ratikorn Gamngoen
- Phasit Charoenkwan (ORCID: https://orcid.org/0000-0002-8161-6856)
- Sarawut Kongkarnka (ORCID: https://orcid.org/0000-0002-0593-3884)
- Arnat Pasena (ORCID: https://orcid.org/0000-0002-3595-8003)
- Pimpisa Teeyakasem (ORCID: https://orcid.org/0000-0003-3154-0184)
- Santhasiri Orrapin (ORCID: https://orcid.org/0000-0002-8751-5247)
- Kanokwan Pinyopornpanish (ORCID: https://orcid.org/0000-0002-5231-7582)
- Sutpirat Moonmuang (ORCID: https://orcid.org/0000-0003-1374-5004)
- Songphon Sutthitthasakul (ORCID: https://orcid.org/0000-0001-9033-8571)
- Sasimol Udomruk (ORCID: https://orcid.org/0000-0002-2353-0886)
- Chaiyut Charoentum (ORCID: https://orcid.org/0000-0001-8659-8629)
- Treephum Duangsan
- Nuttida Bunsermvicha
- Pitiporn Noisagul (ORCID: https://orcid.org/0000-0001-5351-9998)
- Dumnoensun Pruksakorn
- Kanlaya Khounkaew
- Worakitti Lapisatepun
Institutions
- Chiang Mai University (TH)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1038/s43856-026-01437-5
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00