Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study. (December 2022)

• Record Type: Journal Article
• Authors: Oliveira, Leandro Jonata Carvalho; Megid, Thais Baccili Cury; Rosa, Daniela Dornelles; Magliano, Carlos Alberto da Silva; Assad, Daniele Xavier; Argolo, Daniel Fontes; Sanches, Solange Moraes; Testa, Laura; Bines, José; Kaliks, Rafael; Caleffi, Maira; de Melo Gagliato, Debora; Sahade, Marina; Barroso-Sousa, Romualdo; Corrêa, Tatiana Strava; Shimada, Andrea Kazumi; Batista, Daniel Negrini; Musse Gomes, Daniel; Cesca, Marcelle Goldner; Gaudêncio, Débora; Moura, Larissa Matos Almeida; Araújo, Julio Antonio Pereira de; Katz, Artur; Mano, Max Senna
• Is Part Of: Therapeutic advances in medical oncology. Volume 14(2022)
• Publication Date: 2022-12
• Subjects: cost-effectiveness analysis -- early breast cancer -- gene expression signatures -- hormone receptor positive breast cancer -- Oncotype DX; Oncology -- Periodicals; Cancer -- Treatment -- Periodicals; 616.994005
• DOI: 10.1177/17588359221141760
• Languages: English
• ISSNs: 1758-8340

Abstract

Background: Oncotype DX (ODX) is a validated assay for the prediction of risk of recurrence and benefit of chemotherapy (CT) in both node negative (N0) and 1–3 positive nodes (N1), hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) early breast cancer (eBC). Due to limited access to genomic assays in Brazil, treatment decisions remain largely driven by traditional clinicopathologic risk factors. ODX has been reported to be cost-effective in different health system, but limited data are available considering the reality of middle-income countries such as Brazil. We aim to evaluate the cost-effectiveness of ODX across strata of clinical risk groups using data from a dataset of patients from Brazilian institutions. Methods: Clinicopathologic and ODX information were analyzed for patients with T1–T3, N0–N1, HR+/HER2− eBC who had an ODX performed between 2005 and 2020. Projections of CT indication by clinicopathologic criteria were based on binary clinical risk categorization based on the Adjuvant! Algorithm. The ODX score was correlated with the indication of CT according to TAILORx and RxPONDER data. Two decision-tree models were developed. In the first model, low and high clinical risk patients were included while in the second, only high clinical risk patients were included. The cost for ODX and CT was based on the Brazilian private medicine perspective. Results: In all, 645 patients were analyzed; 411 patients (63.7%) had low clinical risk and 234 patients (36.3%) had high clinical risk disease. The ODX indicated low (<11), intermediate (11–25), and high (>25) risk in 119 (18.4%), 415 (64.3%), and 111 (17.2%) patients, respectively. Among 645 patients analyzed in the first model, ODX was effective (5.6% reduction in CT indication) though with an incremental cost of United States Dollar (US$) 2288.87 per patient. Among 234 patients analyzed in the second model (high clinical risk only), ODX led to a 57.7% reduction in CT indication and reduced costs by US$ 4350.66 per patient. Conclusions: Our study suggests that ODX is cost-saving for patients with high clinical risk HR+/HER2− eBC and cost-attractive for the overall population in the Brazilian private medicine perspective. Its incorporation into routine practice should be strongly considered by healthcare providers.