Trajectory-Based Prognostic Modeling in Hepatocellular Carcinoma
NCT07204262 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 379
Last updated 2025-10-02
Summary
To evaluate whether tracking changes in key blood markers over time, together with clinical features, can improve the prediction of outcomes in patients with hepatocellular carcinoma (HCC). By developing a trajectory-based prognostic model, we aim to provide more accurate risk assessment and support personalized treatment decisions.
Conditions
Interventions
- COMBINATION_PRODUCT
-
Molecular Targeted Therapy (TKI / anti-VEGF antibody) PD-(L)1 Inhibitor Immunotherapy Interventional Therapy (TACE / HAIC)
Patients in this study received systemic therapy with molecular targeted agents, including tyrosine kinase inhibitors (TKIs) and anti-VEGF antibodies, and/or PD-(L)1 inhibitor immunotherapy. Some patients also received interventional therapies such as transarterial chemoembolization (TACE) or hepatic arterial infusion chemotherapy (HAIC). Treatment regimens, combinations, and sequencing were determined based on physician discretion and patient clinical status. This study focuses on the longitudinal monitoring of biomarkers during these therapies to evaluate their prognostic value and to develop a trajectory-based risk stratification model for advanced hepatocellular carcinoma (HCC).
Sponsors & Collaborators
-
Xu Yong, MD
lead OTHER
Principal Investigators
-
Yong Xu, Dr · Shenzhen Third People's Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-01-01
- Primary Completion
- 2024-11-01
- Completion
- 2024-11-01
Countries
- China
Study Locations
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