Clinical Research Directory

Phase II Clinical Study on the Efficacy and Safety of the Combination of Cadonilimab and Capecitabine in Adjuvant Therapy for Combined Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma

Title: A Study of Cadonilimab Combined with Capecitabine After Surgery for Mixed Type Liver Cancer This is a phase II clinical trial. The main purpose of this study is to find out if using two drugs together, cadonilimab (an immunotherapy drug) and capecitabine (a chemotherapy drug), can help prevent the cancer from coming back after surgery in patients with a specific type of liver cancer called combined hepatocellular-cholangiocarcinoma (cHCC/CCA). This type of liver cancer is rare and has a high chance of returning even after successful surgery. The study will involve about 75 patients who have had their tumor completely removed but are still at medium to high risk of the cancer returning. All participants in the study will receive the same combination of drugs. Cadonilimab is given through a vein every three weeks. Capecitabine is taken as a pill twice a day for two weeks, followed by one week off. This cycle repeats for up to 8 cycles (about 6 months), or until the cancer comes back or side effects become too severe. Researchers will primarily measure how long patients live without the cancer returning (Recurrence-Free Survival). They will also track how long patients live overall (Overall Survival), and carefully record any side effects to understand the safety of this treatment combination. The study hypothesis is that this combination therapy will significantly prolong RFS compared to historical outcomes with surgery alone, while demonstrating acceptable safety.

Novel Subtypes and Treatment Strategies of Patients with Unresectable Combined Hepatocellular Cholangiocarcinoma Based on Multimodal Data

This study focused on exploring new comprehensive treatment strategies for patients with unresectable combined hepatocellular-cholangiocarcinoma, classifying patients with CHC subtypes based on the combination of artificial intelligence and multi-omics, and exploring the optimal treatment strategies for patients with different subtypes, helping clinicians to screen the most beneficial groups of various treatment schemes, and providing new ideas for safe treatment of high-risk patients.