Purpose

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 cell-free tsRNA (cf-tsRNA)-based liquid biopsy assay for accurate detection of early-stage HCC.

Condition

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • A histologically confirmed diagnosis of hepatocellular carcinoma. - Received standard diagnostic and staging procedures as per local guidelines - Availability of at least one blood-derived sample, drawn before receiving any curative-intent treatment

Exclusion Criteria

• Lack of or inability to provide informed consent

Study Design

Phase
Study Type
Observational
Observational Model
Case-Control
Time Perspective
Retrospective

Arm Groups

ArmDescriptionAssigned Intervention
HCC (Discovery, Small RNA-seq) Serum and plasma samples from patients with histologically confirmed HCC will be analyzed using small RNA sequencing to identify circulating tsRNAs specifically upregulated in HCC. These tsRNAs will serve as candidates for downstream validation.
  • Diagnostic Test: Small RNA sequence
    Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
Non-disease Control (Discovery, Small RNA-seq) Serum and plasma samples from individuals without malignant will be analyzed in parallel by small RNA sequencing to identify tsRNAs differentially expressed between HCC and non-disease controls.
  • Diagnostic Test: Small RNA sequence
    Comprehensive small RNA sequencing of serum or plasma-derived cf-tsRNAs to identify candidate biomarkers distinguishing HCC from NDC.
HCC (Training, rt-qPCR) Serum and plasma samples from patients with histologically confirmed HCC will be analyzed using rt-qPCR to test circulating tsRNAs specifically upregulated in HCC.
  • Diagnostic Test: Rt-qPCR
    Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
NDC (Training, rt-qPCR) Individuals without malignant whose serum/plasma samples will serve as controls to establish baseline tsRNA expression and diagnostic thresholds.
  • Diagnostic Test: Rt-qPCR
    Construction of integrated cf- tsmiRNAs diagnostic classifier using machine learning
HCC (Testing, rt-qPCR) Independent HCC cohort used for external validation of the panel to confirm diagnostic performance and reproducibility.
  • Diagnostic Test: Rt-qPCR
    PCR-based validation of the tsRNA panel
NDC (Testing, rt-qPCR) Individuals without malignant whose serum/plasma samples will be used for validation of specificity and model robustness.
  • Diagnostic Test: Rt-qPCR
    PCR-based validation of the tsRNA panel

Recruiting Locations

City of Hope Medical Center
Duarte 5344147, California 5332921 91016
Contact:
Ajay Goel, PhD
626-218-3452
ajgoel@coh.org

More Details

Status
Recruiting
Sponsor
City of Hope Medical Center

Study Contact

Goel Ajay, PhD
626-218-3452
ajgoel@coh.org

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%). tsRNAs (tRNA-derived small RNAs) are small, single-stranded RNA molecules derived from mature or precursor tRNAs that were first detected in the urine of patients with cancer in the 1970s. Emerging noninvasive markers offer complementary advantages: cell-free tsRNAs (cf-tsRNAs) are stable and highly sensitive for detection. Integrating these biomarker types could enable robust models for accurate early HCC detection, addressing a critical gap in clinical care. This study seeks to validate a panel of more accurate and non-invasive biomarkers (cf-tsRNAs) 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.

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.