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NCT Number: NCT07265271

Project for Multi-Omics-Based Early Detection of Hepatocellular Carcinoma (PROMETHEA Study)

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

City of Hope Medical Center

Duarte, California, 91016, United States

Location status: Recruiting

Location contact

Ajay Goel, PhD

CONTACT

[email protected]

626-218-3452

About this study

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 hepatitis (HBV, HCV), alcohol abuse, obesity, type 2 diabetes, and non-alcoholic fatty liver disease (NAFLD), with non-viral HCC increasing in prevalence, particularly in Western countries. Screening programs target high-risk populations but miss many asymptomatic or average-risk individuals, contributing to late-stage diagnoses.

Biomarker discovery holds promise for improving early detection. Alpha-fetoprotein (AFP), the most widely used biomarker, has limited sensitivity for early-stage HCC (39-64%).

This study seeks to validate a panel of more accurate and non-invasive biomarkers in preoperative blood samples. Accurate early detection of HCC would help provide clear criteria for treatment decisions, such as timely surgical intervention or the addition of adjuvant chemotherapy.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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 malignancies within the past 5 years
  • Previous liver transplantation
  • Severe systemic infection or inflammatory disease at the time of enrollment
  • Inadequate sample quality or quantity

Treatment and study plan

Small RNA sequence

Diagnostic Test

Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.

RT-qPCR

Diagnostic Test

Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning

Primary outcomes

  1. Diagnostic performance of the integrated multi-omics signature for hepatocellular carcinoma detection

    Time frame: At the baseline

    To evaluate the diagnostic accuracy of the model for distinguishing patients with hepatocellular carcinoma from chronic liver disease and healthy controls, as assessed by the area under the operating characteristic curve (AUC), sensitivity, and specificity.

Secondary outcomes

  1. Validation of the diagnostic model in independent cohorts

    Time frame: At the baseline

    To assess the reproducibility and generalizability of the diagnostic model using independent validation cohorts.

  2. Identification of etiology-associated omics profiles in hepatocellular carcinoma

    Time frame: At the baseline

    To characterize differences in omics patterns among HBV-, HCV-, and NBNC-related hepatocellular carcinoma cases, using integrated high-throughput multi-omics analysis.

Study contacts

Contact information is provided by the study sponsor or research team.

Goel Ajay, PhD

CONTACT

[email protected]

626-218-3452

Sponsors and collaborators

Lead sponsor

City of Hope Medical Center

Other

Registry information

Acronym: CENTINEL

Important dates

Study start
2025
Primary completion
2028
Study completion
2028
First posted
Dec 4, 2025
Registry last updated
Jul 1, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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