Publication
Cost-effectiveness of the 70-gene signature versus St. Gallen guidelines and Adjuvant Online for early breast cancer
Journal Paper/Review - Mar 30, 2010
Retèl Valesca P, Joore Manuela A, Knauer Michael, Linn Sabine C, Hauptmann Michael, Harten Wim H van
Units
PubMed
Doi
Citation
Type
Journal
Publication Date
Issn Electronic
Pages
Brief description/objective
BACKGROUND
The 70-gene signature (MammaPrint) is a prognostic test used to guide adjuvant treatment decisions in patients with node-negative breast cancer. In order to decide upon its use, a systematic comparative analysis of the effects of the 70-gene signature, the Sankt Gallen guidelines and the Adjuvant Online Software for these patients on survival, quality of life and costs is warranted.
METHODS
A Markov decision model was used to simulate the 20-year costs and outcomes (survival and quality-of-life adjusted survival (QALYs)) in a hypothetical cohort of node-negative, estrogen receptor positive breast cancer patients. Sensitivity and specificity of the three prognostic tools were based on 5 and 10 years breast cancer specific survival and distant metastasis as first event, derived from a pooled analysis consisting of 305 tumour samples from 3 previously reported validation studies concerning the 70-gene signature.
RESULTS
Small differences in survival, but substantial differences in quality-adjusted survival between the prognostic tools were observed. Quality-adjusted survival was highest when using the 70-gene signature. Based on costs per QALY, the 70-gene has the highest probability of being cost-effective for a willingness to pay for a QALY higher than euro12.000. Sankt Gallen showed the highest survival rates compared to the 70-gene signature, but leads to a substantial larger amount of adjuvant chemotherapy and lower cost-effectiveness, thus demanding a high willingness to pay to save a life year.
CONCLUSIONS
When deciding upon the cost-effectiveness of the prognostic tests, the 70-gene signature improves quality-adjusted survival and has the highest probability of being cost-effective.