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An Oncogenic Hepatocyte-Induced Orthotopic Mouse Model of Hepatocellular Cancer Arising in the Setting of Hepatic Inflammation and Fibrosis
Published on: September 12, 2019
The rapidly evolving landscape of HCC: Selecting the optimal systemic therapy
Valentina Zanuso1,2, Lorenza Rimassa2,3, Chiara Braconi1,4
1School of Cancer Sciences, University of Glasgow, Glasgow, UK.
Systemic treatments for advanced hepatocellular carcinoma (HCC) have improved survival. New therapies like atezolizumab plus bevacizumab offer better options, but treatment choice depends on individual patient factors.
Area of Science:
- Hepatocellular Carcinoma Research
- Medical Oncology
- Immunotherapy
Background:
- Advanced hepatocellular carcinoma (HCC) treatment has seen significant progress.
- Overall survival rates have improved, particularly for patients with sensitive tumors and good liver function.
- The treatment landscape is evolving with new first-line agents and immune checkpoint inhibitor-based therapies.
Purpose of the Study:
- To review the advancements in systemic treatment options for advanced HCC.
- To discuss the current standards of care and emerging therapies.
- To highlight the complexities in selecting optimal treatment strategies.
Main Methods:
- Review of recent clinical practice guidelines and landmark trials in advanced HCC.
- Analysis of efficacy and safety data for current first-line therapies.
- Discussion of patient-specific factors influencing treatment selection.
Main Results:
- Atezolizumab plus bevacizumab and durvalumab plus tremelimumab are now standard of care, surpassing older agents like sorafenib and lenvatinib.
- Treatment decisions are patient-driven, integrating efficacy, comorbidities, liver function, and safety profiles.
- Predictive biomarkers for patient stratification are still under development.
Conclusions:
- The systemic treatment of advanced HCC has expanded significantly, offering improved outcomes.
- Personalized treatment selection is crucial due to the lack of head-to-head comparisons among all options.
- The complexity of treatment algorithms is increasing as therapies move to earlier disease stages.
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