Abstract

Introduction: Hepatocellular carcinoma (HCC) is the most common form of liver cancer worldwide and carries a poor prognosis. Historically, sorafenib was the only available systemic treatment for advanced HCC. However, in recent years, 6 new treatments have been approved by the US Food and Drug Administration (FDA): regorafenib, lenvatinib, cabozantinib, pembrolizumab, ramucirumab, and nivolumab. Data are lacking regarding the most appropriate sequencing pathway for these agents. Our objective was to conduct a comprehensive cost effectiveness analysis (CEA) of different 1st- and 2nd-line treatment pathways for HCC reflecting all new drug approvals, and then use our data to provide guidance for clinicians on which pathway is the most cost-effective. Materials and Methods: Markov models were used to evaluate the cost effectiveness of 8 different 1st- and 2nd-line treatment sequences. The model allowed for 9 possible states. Cost effectiveness ratios (CER) and incremental CER (ICER) were calculated to compare costs between different pathways and against a willingness-to-pay (WTP) threshold. Efficacy and toxicity data were extracted from the landmark trials for each agent. All agents except ramucirumab were included. The cost of each agent was based on the wholesale acquisition cost (WAC) in USD as of June 2019. Monte-Carlo methods were used to simulate the experience of 1,000,000 patients per treatment sequence for a 12-month period. Results: The pathway with the lowest CER was sorafenib, followed by pembrolizumab (USD 227,741.03/quality-adjusted life year [QALY]). ICER analysis supported implementing 2nd-line pembrolizumab-based pathways at a higher WTP threshold of 300,000/quality-adjusted life year. Sensitivity analysis did not substantially change these results. Conclusions: The most cost-effective strategy was 1st-line tyrosine kinase inhibitor therapy followed by 2nd-line immunotherapy. All pathways exceeded a commonly accepted WTP of USD 100–150,000/QALY. Our preliminary results warrant further studies to best inform real-world practices.

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