Cost-effectiveness analysis of genomic profiling in early breast cancer in Colombia
Abstract BackgroundThe best strategy to establish indication for adjuvant chemotherapy in early breast cancer (EBC) in Colombia is unknown. This study aimed to identify the cost-effectiveness of various strategies to establish the necessity of adjuvant chemotherapy.MethodsThis study used an adapted decision-analytic model to compare cost and outcomes of care that includes Oncotype DX™ (ODX) or Mammaprint™ (MMP) test with routine care without ODX or MMP tests (application of adjuvant chemotherapy for all patients) over a 5-year time horizon, and the from the perspective of the Colombian National Health System (NHS) perspective (payer). Data were obtained from published literature and clinical trial database. The study population was composed of women with EBC, hormone-receptor positive (HR+), Her2-negative, lymph-node negative (LN0), with high-risk clinical criteria for recurrence. The outcome measures were incremental cost-effectiveness ratio (ICER; 2019 United States Dollar [USD] per quality-adjusted life years [QALY] gained) and net monetary benefit (NMB).ResultsODX increases QALYs by 0.05 and MMP by 0.03 with savings of $2,445 and $570 compared with the standard strategy, respectively. The ICER for ODX was −$41,857 and that for MMP was −$18,253 per QALY; NMB was $2,821 and $771, respectively. Both tests were cost effective under defined threshold. When the two tests were compared, ODX was more cost effective than MMP. Sensitivity analysis revealed that, with a threshold of 1 GDP per capita, ODX will be cost effective in 95.5% of the cases compared with 70.2% of MMP. Probabilistic sensitivity analysis revealed that ODX was a consistently superior strategy.ConclusionsGenomic profiling using ODX or MMP tests to define the need of adjuvant chemotherapy treatment in patients with HR + and Her2 − EBC is a cost-effective strategy that allows Colombian NHS saving money.