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This multicenter retrospective study which included patients with hepatocellular carcinoma (HCC) who received conversion or neoadjuvant therapy to explore the best treatment options and the best benefit group.
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More than 50% patients with initial hepatocellular carcinoma (HCC) are diagnosed as intermediate or advanced stage diease. Transarterial chemoembolization and systemic therapy are main treatments for these patients. With the rise of targeted drugs and immunotherapy, more and more patients with advanced HCC have access to curative treatment, thereby extending their overall survival time. In clinical practice, there are many combinations used to treat these patients. However, the safety and efficacy of conversion or neoadjuvant therapy in HCC patients remains controversial.
The aim of this project is to establish a multicentre database from Guangxi province, China, to include as many HCC patients receiving conversion or neoadjuvant therapy as possible. HCC patients who received conversion or neoadjuvant therapy as initial treatment, including hepatic artery infusion chemotherapy (HAIC), transcatheter arterial chemoembolization (TACE), tyrosine kinase inhibitors (TKIs), immune checkpoint inhibitors (ICIs), or radiotherapy were retrospectively enrolled. The purpose of this project is to explore the best beneficiaries of conversion or neoadjuvant therapy, the best treatment strategy, and the follow-up treatment options after successful conversion therapy. The ultimate objective is to provide evidence for the necessity and feasibility of conversion or neoadjuvant therapy for patients with HCC.
The data for this study were derived from the database of the regional registry platform entitled "Guangxi Liver Cancer Clinical Study Alliance (GUIDANCE)" sponsored by the Guangxi Anticancer Association Liver Cancer Committee. All of the included patients were not previously reported and were not enrolled in those industry-sponsored clinical trials.
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2,000 participants in 1 patient group
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Central trial contact
Jian-Hong Zhong, Ph.D; Liang Ma, MD
Data sourced from clinicaltrials.gov
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