Outcome and economic implications of proteomic test-guided second- or third-line treatment for advanced non-small cell lung cancer: extended analysis of the PROSE trial.

2015 
Abstract Objectives Lung cancer accounts for a significant number of new cancer cases and deaths, with the majority of patients presenting with non-small cell lung cancer (NSCLC). Although epidermal growth factor receptor (EGFR) tyrosine-kinase inhibitors are recommended as an alternative to chemotherapy for certain patients, challenges exist for clinical utilization. The objective of this analysis was to assess the outcome and economic implications of a clinically validated serum-based proteomic test to guide treatment decisions in patients with advanced NSCLC, who are EGFR-negative or status unknown, and have progressed following at least one chemotherapy regimen. Methods This analysis was conducted from a US payer perspective. Clinical outcomes were evaluated over the lifetime of a patient, based on data from randomized trials and clinical studies. The clinical endpoints included treatment utilization, adverse events, survival, and a composite measure of length and quality of life, referred to as the quality-adjusted life year (QALY). Costs for testing, treatment, surveillance, and management of adverse events were analyzed based on publicly available costs of the related procedures. The economic endpoints were cumulative lifetime direct medical costs and cost per QALY gained. Results In the base case, treatment recommendation for 27.3% of the patient population changed from erlotinib to chemotherapy after using the proteomic test. Overall survival increased by 0.091 year and QALYs increased by 0.050 year. The total lifetime direct medical cost per patient decreased by $135 with test-guided treatment. The findings were robust over a wide range of variation in the input parameters. Conclusion The serum-based proteomic test informed treatment selection for patients with advanced NSCLC who failed previous chemotherapy regimen(s), improving QALYs and saving costs.
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