Project for Multi-Omics-Based Early Detection of Hepatocellular Carcinoma (PROMETHEA Study) (CENTINEL)
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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed 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 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.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Goel Ajay, PhD
- Phone Number: 626-218-3452
- Email: ajgoel@coh.org
Study Locations
-
-
California
-
Duarte, California, United States, 91016
- Recruiting
- City of Hope Medical Center
-
Contact:
- Ajay Goel, PhD
- Phone Number: 626-218-3452
- Email: ajgoel@coh.org
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Individuals who were diagnosed with hepatocellular carcinoma. Individuals who were diagnosed with chronic liver disease
Healthy donors
Description
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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
HCC (Discovery, Small RNA-seq)
Patient diagnosed with hepatocellular carcinoma, including cases with HBV-, HCV-, and NBNC-related etiologies.
Blood or other biospecimens will be collected for multi-omics profiling
|
Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
PCR-based validation of the tsRNA panel
|
|
Chronic Liver Disease (CLD) cohort
Patients with chronic liver disease, including liver cirrhosis and chronic hepatitis, without evidence of hepatocellular carcinoma. Blood or other biospecimens will be collected for multi-omics profiling. |
Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
PCR-based validation of the tsRNA panel
|
|
Healthy Controls
Healthy individuals without known liver disease or malignancy who will provide blood or other biospecimens as normal controls for biomarker evaluation.
|
Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
PCR-based validation of the tsRNA panel
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
|
At the baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
|
At the baseline
|
|
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.
|
At the baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Llovet JM, Kelley RK, Villanueva A, Singal AG, Pikarsky E, Roayaie S, Lencioni R, Koike K, Zucman-Rossi J, Finn RS. Hepatocellular carcinoma. Nat Rev Dis Primers. 2021 Jan 21;7(1):6. doi: 10.1038/s41572-020-00240-3.
- Choi JY, Jung SW, Kim HY, Kim M, Kim Y, Kim DG, Oh EJ. Diagnostic value of AFP-L3 and PIVKA-II in hepatocellular carcinoma according to total-AFP. World J Gastroenterol. 2013 Jan 21;19(3):339-46. doi: 10.3748/wjg.v19.i3.339.
- Shao Y, Yu X, Zhou W, Yan J, Dong H, Ye G. Biological roles and potential clinical value of tRNA-derived small RNAs in gastrointestinal malignancies. Ann Med. 2025 Dec;57(1):2566866. doi: 10.1080/07853890.2025.2566866. Epub 2025 Oct 9.
- Mao M, Chen W, Huang X, Ye D. Role of tRNA-derived small RNAs(tsRNAs) in the diagnosis and treatment of malignant tumours. Cell Commun Signal. 2023 Jul 21;21(1):178. doi: 10.1186/s12964-023-01199-w.
- Lee S, Kim J, Valdmanis PN, Kim HK. Emerging roles of tRNA-derived small RNAs in cancer biology. Exp Mol Med. 2023 Jul;55(7):1293-1304. doi: 10.1038/s12276-023-01038-5. Epub 2023 Jul 10.
- Zhou M, He X, Zhang J, Mei C, Zhong B, Ou C. tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application. Mol Cancer. 2024 Apr 15;23(1):76. doi: 10.1186/s12943-024-01992-2.
- Yuan J, Gu WC, Xu TX, Shen XJ, Li X, Shen L, Zhang Y, Ju SQ. 5'-transfer RNA halve-lysine-CTT as a promising biomarker for early detection of hepatocellular carcinoma. World J Gastrointest Oncol. 2025 Nov 15;17(11):111142. doi: 10.4251/wjgo.v17.i11.111142.
- Sauzay C, Petit A, Bourgeois AM, Barbare JC, Chauffert B, Galmiche A, Houessinon A. Alpha-foetoprotein (AFP): A multi-purpose marker in hepatocellular carcinoma. Clin Chim Acta. 2016 Dec 1;463:39-44. doi: 10.1016/j.cca.2016.10.006. Epub 2016 Oct 11.
- Xing H, Zheng YJ, Han J, Zhang H, Li ZL, Lau WY, Shen F, Yang T. Protein induced by vitamin K absence or antagonist-II versus alpha-fetoprotein in the diagnosis of hepatocellular carcinoma: A systematic review with meta-analysis. Hepatobiliary Pancreat Dis Int. 2018 Dec;17(6):487-495. doi: 10.1016/j.hbpd.2018.09.009. Epub 2018 Sep 15.
- Xu J, Chen B, Qi J, Wu J, Feng W, Jin K, Bao H, Chen L, Wang F. Evaluation of serum hsa_tsr014055 as a potential biomarker for diagnosis and prognosis of hepatocellular carcinoma. Ann Med. 2025 Dec;57(1):2528978. doi: 10.1080/07853890.2025.2528978. Epub 2025 Jul 6.
- Jin K, Wu J, Yang J, Chen B, Xu J, Bao H, Zong W, Xie C, Chen L, Wang F. Identification of serum tsRNA-Thr-5-0015 and combined with AFP and PIVKA-II as novel biomarkers for hepatocellular carcinoma. Sci Rep. 2024 Nov 21;14(1):28834. doi: 10.1038/s41598-024-80592-y.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 23228/CENTINEL
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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