Project for Multi-Omics-Based Early Detection of Hepatocellular Carcinoma (PROMETHEA Study)
City of Hope Medical Center
Summary
Hepatocellular carcinoma (HCC) is often diagnosed at an advanced stage, and early detection is critical for improving patient outcomes. Despite this, reliable non-invasive biomarkers for early-stage HCC are limited. This study seeks to develop a multi-omics-based liquid biopsy assay, especially focusing on ncRNAs (e.g. tsRNA, miRNA, circRNA, lncRNA, etc.) for accurate detection of early-stage HCC.
Description
Liver cancer is a major global health challenge, ranking as the 5th leading cause of cancer-related deaths in the U.S. and 3rd worldwide, with hepatocellular carcinoma (HCC) accounting for \~75% of cases. Incidence has more than tripled since 1980, and death rates have risen by \~2% annually, highlighting the need for improved detection and treatment. Prognosis remains poor: over 50% of HCC cases are diagnosed at stage IV, with a 1-year survival below 30%, whereas early-stage HCC (stages I-II) can achieve up to 74% 5-year survival with curative interventions. Major risk factors include viral h…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: * Adults aged 18 to 100 years. * A histologically confirmed diagnosis of hepatocellular carcinoma. * A clinically diagnosed as chronic liver disease, including chronic hepatitis or liver cirrhosis, without evidence of hepatocellular carcinoma. * Healthy volunteers without known liver disease or malignancy. * Received standard diagnostic and staging procedures as per local guidelines * Availability of blood or other biospecimens. * Ability to provide written informed consent. Exclusion Criteria: * Lack of or inability to provide informed consent * History of other active…
Interventions
- Diagnostic TestSmall RNA sequence
Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
- Diagnostic TestRt-qPCR
Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
- Diagnostic TestRt-qPCR
PCR-based validation of the tsRNA panel
Location
- City of Hope Medical CenterDuarte, California