Cost effectiveness of molecular profiling for adjuvant decision making in patients with node-negative breast cancer

Julia Bonastre, Sophie Marguet, Beranger Lueza, Stefan Michiels, Suzette Delaloge, Mahasti Saghatchian

    Résultats de recherche: Contribution à un journalArticleRevue par des pairs

    27 Citations (Scopus)

    Résumé

    Patients and Methods: We used a mixed approach combining patient-level data from a multicenter validation study of the 70-gene signature (untreated patients) and secondary sources for chemotherapy efficacy, unit costs, and utility values. Three strategies on which to base the decision to administer adjuvant chemotherapy were compared: the 70-gene signature, Adjuvant! Online, and chemotherapy in all patients. In the base-case analysis, costs from the French National Insurance Scheme, life-years (LYs), and quality-adjusted life-years (QALYs) were computed for the three strategies over a 10-year period.

    Results: The mean differences in LYs and QALYs were similar between the three strategies. The 70-gene signature strategy was associated with a higher cost, with a mean difference of €2,037 (range, €1,472 to €2,515) compared with Adjuvant! Online and of €657 (95% CI, -€642 to €3,130) compared with systematic chemotherapy. For a €50,000 per QALY willingness-to-pay threshold, the probability of being the most cost-effective strategy was 92% (76% in ER-positive patients) for the Adjuvant! Online strategy, 6% (4% in ER-positive patients) for the systematic chemotherapy strategy, and 2% (20% in ER-positive patients) for the 70-gene strategy.

    Purpose: To conduct an economic evaluation of the 70-gene signature used to guide adjuvant chemotherapy decision making both in patients with node-negative breast cancer (NNBC) and in the subgroup of estrogen receptor (ER)-positive patients.

    Conclusion: Optimizing adjuvant chemotherapy decision making based on the 70-gene signature is unlikely to be cost effective in patients with NNBC.

    langue originaleAnglais
    Pages (de - à)3513-3519
    Nombre de pages7
    journalJournal of Clinical Oncology
    Volume32
    Numéro de publication31
    Les DOIs
    étatPublié - 1 nov. 2014

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