title: [Cost-Effectiveness of the 21 Gene Assay in Patients with Node-Positive Breast Cancer].
abstract: Aim:Breast cancer is the most common type of cancer for women. Most guidelines recommend patients with lymph-node positive (LN+) early stage breast cancer to undergo adjuvant chemotherapy to prevent or delay distant recurrence. This may lead to frequent, general usage of chemotherapy accompanied with high costs and side effects. The Oncotype DX, also called 21 Gene Assay, by Genomic Health is a genomic test which predicts the individual risk of breast cancer recurrence as well as the benefits of chemotherapy. Economic analyses have indicated the cost-effectiveness of the 21 Gene Assay for patients with LN- breast cancer. This paper discusses recent research on the cost-effectiveness of using this assay for patients with LN+ breast cancer.Methods:A systematic literature research was undertaken using the following databases: Pubmed, Embase, Business Source Complete and EconLit. Studies found were analysed for study design, parameters, and analysis of uncertainty. The transferability of the results to Germany was examined using a list of criteria.Results:7 relevant economic analyses were identified. Incremental cost-utility ratios ranged from cost-savings of € 3 548 per patient to additional costs of € 9 113 per QALY gained. The transferability of the results to Germany is limited particularly by differences in the medical cost approach, in absolute and relative prices in health-care, and by practice variation.Conclusion:There is evidence that the cost-utility of the assay when used for LN+ breast cancer is basically comparable to that for the use with the LN- type. More precise results for Germany would require valid data on the risk of recurrence as well as on the description and evaluation of health-related quality of life of patients.
authors.affiliation: Münchner Zentrum für Gesundheitswissenschaften, Ludwig-Maximilians-Universität, München.
authors.forename: L
authors.initials: L
authors.lastname: Fischer
authors.affiliation: Münchner Zentrum für Gesundheitswissenschaften, Ludwig-Maximilians-Universität, München.
authors.forename: M
authors.initials: M
authors.lastname: Arnold
authors.affiliation: Münchner Zentrum für Gesundheitswissenschaften, Ludwig-Maximilians-Universität, München.
authors.forename: F
authors.initials: F
authors.lastname: Kirsch
authors.affiliation: Münchner Zentrum für Gesundheitswissenschaften, Ludwig-Maximilians-Universität, München.
authors.forename: R
authors.initials: R
authors.lastname: Leidl
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000191:economics* / Q000453:epidemiology; D003362:Cost-Benefit Analysis / Q000191:economics; D055088:Early Detection of Cancer / Q000191:economics* / Q000706:statistics & numerical data; D005260:Female; D005820:Genetic Testing / Q000191:economics* / Q000706:statistics & numerical data; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D008207:Lymphatic Metastasis; D015995:Prevalence; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor