Title |
Genomic profile of breast cancer: cost–effectiveness analysis from the Spanish National Healthcare System perspective
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Published in |
Expert Review of Pharmacoeconomics and Outcomes Research, September 2014
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DOI | 10.1586/14737167.2014.957185 |
Pubmed ID | |
Authors |
Miguel Ángel Seguí, Carlos Crespo, Javier Cortés, Ana Lluch, Max Brosa, Virginia Becerra, Sebastián Matias Chiavenna, Alfredo Gracia |
Abstract |
Background: Cost-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-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-effective versus online algorithm. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 20% |
Spain | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 99 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 20% |
Student > Ph. D. Student | 15 | 15% |
Researcher | 9 | 9% |
Other | 8 | 8% |
Student > Doctoral Student | 8 | 8% |
Other | 26 | 25% |
Unknown | 16 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 27% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 10% |
Economics, Econometrics and Finance | 9 | 9% |
Biochemistry, Genetics and Molecular Biology | 8 | 8% |
Nursing and Health Professions | 7 | 7% |
Other | 21 | 21% |
Unknown | 19 | 19% |