Economic burden of empiric drug utilization in metastatic renal cell carcinoma emphasizes the need for early biomarkers of response.
e16072 Background: While targeted therapies have significantly changed clinical practice for metastatic renal cell carcinoma (RCC), the economic burden of these drugs is increasing without concomitant advances in strategies for choosing among such agents. We present a model of cost savings using a hypothetical biomarker panel of early response to guide selection of targeted and immune therapies in metastatic RCC patients. Methods: Using the Stanford RCC Outcomes database, we identified patients diagnosed with metastatic RCC who received any of the following: sunitinib, pazopanib, axitinib, sorafenib, cabozantinib, nivolumab, lenvatinib & everolimus, temsirolimus from 2003 through 2016 at Stanford Cancer Center. Primary outcomes included short-term and long-term costs of treatment according to standard-of-care imaging criteria. Drug costs were inferred from the 2017 Veterans Affairs Federal Supply Schedule pricing in USD. A hypothetical biomarker cost was set at $4,620—the current market price of an actively employed diagnostic test in breast cancer, OncotypeDX. These parameters were combined in a Markov model to simulate patient treatment courses and to assess the impact of an early response biomarker on drug expenditures. Results: 370 patients received a range of one to six lines of successive therapy. 170 (45.9%) were long-term patients with cumulative drugs costs totaling $31 million, or on average $185,362 per patient, and $104,521 per individual line of therapy received. 200 (54%) were short-term patients who received less than 3 months of targeted therapy. The costs of such potentially ineffective treatment totaled $4.1 million, or $15,455 per patient per individual line of therapy received. Application of an early biomarker panel at the outset would result in a potential cost savings of up to $6,215 per patient. Conclusions: Bothmetastatic RCC patients and payers suffer high costs from ineffective therapy. Our findings suggest an economic benefit for developing biomarker panels to predict early therapeutic response. Such biomarkers can result in immediate cost savings, and possibly improved quality-of-life for those liberated from unnecessary drug toxicity.