Validation of a Novel Multitarget Blood Test Shows High Sensitivity to Detect Early Stage Hepatocellular Carcinoma.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. Although biannual ultrasound surveillance with or without α-fetoprotein (AFP) testing is recommended for at-risk patients, sensitivity for early stage HCC, for which potentially curative treatments exist, is suboptimal. We conducted studies to establish the multitarget HCC blood test (mt-HBT) algorithm and cut-off values and to validate test performance in patients with chronic liver disease. METHODS: Algorithm development and clinical validation studies were conducted with participants in an international, multicenter, case-control study. Study subjects had underlying cirrhosis or chronic hepatitis B virus; HCC cases were diagnosed per the American Association for the Study of Liver Diseases criteria and controls were matched for age and liver disease etiology. Whole blood and serum were shipped to a central laboratory and processed while blinded to case/control status. An algorithm was developed for the mt-HBT, which incorporates methylation biomarkers (HOXA1, TSPYL5, and B3GALT6), AFP, and sex. RESULTS: In algorithm development, with 136 HCC cases (60% early stage) and 404 controls, the mt-HBT showed 72% sensitivity for early stage HCC at 88% specificity. Test performance was validated in an independent cohort of 156 HCC cases (50% early stage) and 245 controls, showing 88% overall sensitivity, 82% early stage sensitivity, and 87% specificity. Early stage sensitivity in clinical validation was significantly higher than AFP at 20 ng/mL or greater (40%; P < .0001) and GALAD (gender, age, Lens culinaris agglutinin-reactive AFP, AFP, and des-γ-carboxy-prothrombin score) of -0.63 or greater (71%; P = .03), although AFP and GALAD at these cut-off values had higher specificities (100% and 93%, respectively). CONCLUSIONS: The mt-HBT may significantly improve early stage HCC detection for patients undergoing HCC surveillance, a critical step to increasing curative treatment opportunities and reducing mortality. ClinicalTrials.gov number NCT03628651.

A Novel Blood-Based Panel of Methylated DNA and Protein Markers for Detection of Early-Stage Hepatocellular Carcinoma.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) can be treated effectively if detected at an early stage. Recommended surveillance strategies for at-risk patients include ultrasound with or without α-fetoprotein (AFP), but their sensitivity is suboptimal. We sought to develop a novel, blood-based biomarker panel with improved sensitivity for early-stage HCC detection. METHODS: In a multicenter, case-control study, we collected blood specimens from patients with HCC and age-matched controls with underlying liver disease but without HCC. Ten previously reported methylated DNA markers (MDMs) associated with HCC, methylated B3GALT6 (reference DNA marker), and 3 candidate proteins, including AFP, were assayed and analyzed by a logistic regression algorithm to predict HCC cases. The accuracy of the multi-target HCC panel was compared with that of other blood-based biomarkers for HCC detection. RESULTS: The study included 135 HCC cases and 302 controls. We identified a multi-target HCC panel of 3 MDMs (HOXA1, EMX1, and TSPYL5), B3GALT6 and 2 protein markers (AFP and AFP-L3) with a higher sensitivity (71%, 95% CI: 60-81%) at 90% specificity for early-stage HCC than the GALAD score (41%, 95% CI: 30-53%) or AFP ≥7.32 ng/mL (45%, 95% CI: 33-57%). The AUC for the multi-target HCC panel for detecting any stage HCC was 0.92 compared with 0.87 for the GALAD score and 0.81 for AFP alone. The panel performed equally well in important subgroups based on liver disease etiology, presence of cirrhosis, or sex. CONCLUSIONS: We developed a novel, blood-based biomarker panel that demonstrates high sensitivity for early-stage HCC. These data support the potential for liquid biopsy detection of early-stage HCC to clinically benefit at-risk patients. This study was registered on ClinicalTrials.gov (NCT03628651).