Novel blood signature for hepatocellular carcinoma screening
This study presents a novel blood signature for HCC detection based on extensive clinical data. The unique spectral characteristics effectively differentiate HCC from CLD controls, supporting the potential for machine learning models in HCC detection.
Authors
- Alfred K. Lam (ORCID: https://orcid.org/0000-0003-2771-564X)
- Simon K. K. Ng (ORCID: https://orcid.org/0000-0002-0396-218X)
- Olivia Chiu (ORCID: https://orcid.org/0009-0008-0026-5478)
- Peter Y. M. Woo (ORCID: https://orcid.org/0000-0002-7345-7904)
- H.L. Leung
- S.M. Yip
- D.C.C. Lam (ORCID: https://orcid.org/0000-0002-4688-1435)
- Agnes S. Chan (ORCID: https://orcid.org/0000-0002-3321-182X)
- Siu‐Ping Lam
- Harry Yiu
- Lucky Sutanto
- Ka–Fai Kwok (ORCID: https://orcid.org/0000-0002-1974-4806)
- J.C.K. Yung
- Hao-Chen Liu (ORCID: https://orcid.org/0000-0003-4236-6599)
- H. S. Lam
- K.-M. Chueng
Institutions
- Chinese University of Hong Kong (HK)
- Hong Kong University of Science and Technology (HK)
- Kwong Wah Hospital (CN)
- United Christian Hospital (CN)
- Prince of Wales Hospital (CN)
- Addenbrooke's Hospital (GB)
- Queen Elizabeth Hospital (CN)
Publication Details
- Journal
- ESMO Gastrointestinal Oncology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1016/j.esmogo.2025.100185
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00