Value appraisal of FDA approved cancer drugs over the past decade.

Abstract

e18385 Background: Value based drug pricing is emerging as an imperative health care precept in recognition of the ever-increasing drug costs, especially in oncology. Though novel therapies are regularly approved based on benefit, they are often associated with physical and financial toxicities to patients. We aimed to assess the value of FDA approved oncology drugs defined as their expected clinical benefit compared to their toxicities and costs. Methods: We reviewed all new cancer drug approvals by the FDA from 7/2008-6/2018. Current analysis was restricted to approvals based on overall survival (OS) and progression-free survival (PFS). Data regarding approval indication, effect size, and toxicity were collected from FDA website and publications. Toxicity was estimated as adverse events ≥ grade 3 (or serious adverse events) as reported. Micromedex RED BOOK was used to estimate the total drug price using 2018 average wholesale prices. Price was estimated over 3 months to account for difference in drug regimens. Results: Among the 231 trials used by FDA for approvals in oncology, 115 had OS or PFS as their primary endpoint. Median patients per trial was 539. Of 79 trials with a PFS endpoint, the median HR was 0.50 (range: 0.15 - 0.91); median 3-month drug price was $45,903.72. Compared to the control arm, median toxicity for new drugs was 7% higher (range: -34.4 - 55%). Correlation of HR benefit to 3-month price was 0.06 (95% CI: -0.17 - 0.28, P = 0.61). Correlation of net toxicities to 3-month price was 0.01 (95% CI: -0.25 - 0.26, P = 0.94). Of 43 trials with an OS endpoint, the median HR was 0.72 (range: 0.37 - 0.94); median 3-month price was $43,523.46. Relative to control arm, median toxicity for new drugs was 4% higher (range: -34.4 - 45.8%). Correlation of HR benefit to 3-month price was 0.38 (95% CI: 0.08 - 0.62, P = 0.012). Correlation of net toxicities to 3-month price was -0.12 (95% CI: -0.45 - 0.24, P = 0.50). Conclusions: Drug approvals in oncology come with a high cost and drug prices have very little correlation with estimated benefit in outcomes and toxicities. As policies evolve to promote higher value in health care, attention should be paid to benefits of drugs in relation to pricing and using biomarker-based patient selection to maximize benefits and minimize toxicities.