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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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 |
| |
| 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. |
| |
| Healthy Controls | Healthy individuals without known liver disease or malignancy who will provide blood or other biospecimens as normal controls for biomarker evaluation. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Small RNA sequence | Diagnostic Test | Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic performance of the integrated multi-omics signature for hepatocellular carcinoma detection | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Validation of the diagnostic model in independent cohorts | 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 |
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Inclusion Criteria:
Exclusion Criteria:
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Individuals who were diagnosed with hepatocellular carcinoma. Individuals who were diagnosed with chronic liver disease
Healthy donors
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Goel Ajay, PhD | Contact | 626-218-3452 | ajgoel@coh.org |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| City of Hope Medical Center | Recruiting | Duarte | California | 91016 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41069160 | Background | 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. | |
| 37480078 | Background | 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. |
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Data collected for the study will be made available to others, including de-identified participant data, at publication, via a signed data access agreement and at the discretion of the investigators' approval of the proposed use of such data.
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| ID | Term |
|---|---|
| D006528 | Carcinoma, Hepatocellular |
| D008113 | Liver Neoplasms |
| ID | Term |
|---|---|
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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Plasma or serum
| Rt-qPCR | Diagnostic Test | Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning |
|
| Rt-qPCR | Diagnostic Test | PCR-based validation of the tsRNA panel |
|
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 |
| 37430089 | Background | 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. |
| 38622694 | Background | 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. |
| 41281472 | Background | 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. |
| 27732875 | Background | 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. |
| 33479224 | Background | 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. |
| 30257796 | Background | 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. |
| 23372355 | Background | 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. |
| 40618217 | Background | 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. |
| 39572775 | Background | 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. |
| D009369 | Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004066 | Digestive System Diseases |
| D008107 | Liver Diseases |