Abstract 1013TiP
Background
Prompt detection of hepatocellular carcinoma (HCC) in patients with chronic liver diseases is critical for enhancing prognosis. Existing imaging techniques and serum markers fall short of clinical needs. This study aims to establish a non-invasive GAMAD test model for early HCC detection by incorporating demographic data (Gender and Age), circulating tumor DNA (ctDNA) Methylation signature in blood, and commonly utilized serum biomarkers [alpha-fetoprotein (AFP), des-γ-carboxy-prothrombin (DCP)]. Additionally, the study will evaluate the model's effectiveness among HCC patients at various stages and/or high-risk HCC groups.
Trial design
This prospective, multicenter, non-interventional study will enroll 2,000 participants, including HCC patients, those with chronic liver diseases (hepatitis, cirrhosis, and benign liver space-occupying lesions), and healthy individuals. Blood samples from all participants will be divided into training and validation sets (1,400 and 600 cases, respectively) for the development and blind validation of the GAMAD (Gender + Age + Methylation + AFP + DCP) HCC-discriminating classifier. The classifier's accuracy and utility will be further assessed in the entire cohort (training and validation cohort). Primary outcome endpoints include sensitivity, specificity, and accuracy [ROC curves; area under the curve (AUC) value] of GAMAD for HCC (in early and each stage) and/or high-risk HCC groups. Secondary outcome endpoints involve comparing GAMAD with the established GALAD model and individual blood indices (AFP, DCP, and methylation testing) to evaluate: (1) GAMAD's clinical utility and significance for HCC patients in early and other stages (according to different staging systems: TNM staging, the Milan criteria, and the BCLC staging criteria); (2) GAMAD's discrimination ability for patients in various subgroups, including liver cirrhosis (LC) related HCC and LC, HBV related HCC and HBV, HCV related HCC and HCV, and nonalcoholic fatty liver disease (NAFLD) related HCC and NAFLD.
Clinical trial identification
NCT05626985.
Editorial acknowledgement
Legal entity responsible for the study
Eastern Hepatobiliary Surgery Hospital and The First Hospital of Jilin University.
Funding
Singlera Genomics Inc.
Disclosure
T. Yang: Financial Interests, Institutional, Principal Investigator: Eastern Hepatobiliary Surgery Hospital. H. Liu, H. Wang, S. Zhou, Z. Zheng, R. Liu: Financial Interests, Institutional, Full or part-time Employment: Singlera Genomics Inc. F. Shen: Financial Interests, Institutional, Principal Investigator: Eastern Hepatobiliary Surgery Hospital. G. Lv: Financial Interests, Institutional, Principal Investigator: First Hospital of Jilin University. All other authors have declared no conflicts of interest.
Resources from the same session
832P - Characterisation of EXS73565: A potent and selective MALT1 inhibitor with low drug-drug interaction risk and potential in lymphoma
Presenter: Major Gooyit
Session: Poster session 18
833P - New targets for adult T cell leukemia/lymphoma (ATLL): A map for ATLL immunotherapy
Presenter: Zahra Rezaei Borojerdi
Session: Poster session 18
834P - Phase II clinical study of VR-CAP regimen for first-line treatment of marginal zone lymphoma
Presenter: Junfeng Chu
Session: Poster session 18
835P - A safe and effective immunochemotherapy with oral sobuzoxane and etoposide for untreated diffuse large B cell lymphoma patients aged 80 and over
Presenter: Kaname Miyashita
Session: Poster session 18
838P - Matching-adjusted indirect comparison (MAIC) of axicabtagene ciloleucel (axi-cel) and epcoritamab (epcor) in relapsed/refractory (R/R) large B cell lymphoma (LBCL) after at least two prior systemic therapies (3L+)
Presenter: Olalekan Oluwole
Session: Poster session 18
840P - Genomic landscape, immune characteristics and prognostic mutation signature of extranodal NK/T cell lymphoma, nasal type in China
Presenter: Yue Chai
Session: Poster session 18
841P - Ki67-revised risk index to risk-stratify patients with extra-nodal natural killer/T cell lymphoma
Presenter: Shuo Li
Session: Poster session 18