Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/59586
Title: Genomic profile of breast cancer: cost effectiveness analysis from the Spanish National Healthcare System perspective.
Author: Seguí, Miquel A.
Crespo, Carlos
Cortés, J.
Lluch Hernández, Ana
Brosa, Max
Becerra, Victor
Chiavenna, S. M.
Gracia, A.
Keywords: Càncer de mama
Genòmica
Anàlisi econòmica
Salut pública
Anàlisi cost-benefici
Espanya
Breast cancer
Genomics
Economic analysis
Public health
Cost effectiveness
Spain
Issue Date: Dec-2014
Publisher: Informa Healthcare
Abstract: Background: Cost<br>effectiveness analysis of MammaPrint® (70-gene signature) in the diagnosis of early breast cancer as a prognosis assay to study the risk of tumor recurrence to administer adjuvant chemotherapy. Methods: Markov model assuming a cohort of 60-year-old women with breast cancer. Treatment costs and effects were assessed by comparing the 5-year, 10-year and lifetime risk of recurrence using Adjuvant! Online® (online algorithm), 70-gene signature or Oncotype DX® (21-gene assay). Results: 70-gene signature showed a life expectancy of 23.55 years at lifetime. Life expectancy was lower for 21-gene assay and online algorithm, with associated quality-adjusted life year gains up to 0.23 and 0.75, respectively, with 70-gene signature. At year 5, the mean cost of 21-gene assay, 70-gene signature and online algorithm was 7100, 6380 and 4580, respectively. 70-gene signature was dominant versus 21-gene assay at any time horizon and would be cost<br>effective from year 7 versus online algorithm (lifetime: 1457 per quality-adjusted life years gained). Conclusions: 70-gene signature was a dominant strategy over 21-gene assay and was highly cost<br>effective versus online algorithm.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1586/14737167.2014.957185
It is part of: Expert Review of Pharmacoeconomics & Outcomes Research, 2014, vol. 14, num. 6, p. 889-899
URI: http://hdl.handle.net/2445/59586
Related resource: http://dx.doi.org/10.1586/14737167.2014.957185
ISSN: 1473-7167
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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