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Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients
BACKGROUND: The individual risk of recurrence in hormone receptor-positive primary breast cancer patients determines whether adjuvant endocrine therapy should be combined with chemotherapy. Clinicopathological parameters and molecular tests such as EndoPredict(®) (EPclin) can support decision making...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305105/ https://www.ncbi.nlm.nih.gov/pubmed/25404424 http://dx.doi.org/10.1007/s40273-014-0227-x |
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author | Blank, Patricia R. Filipits, Martin Dubsky, Peter Gutzwiller, Florian Lux, Michael P. Brase, Jan C. Weber, Karsten E. Rudas, Margaretha Greil, Richard Loibl, Sibylle Szucs, Thomas D. Kronenwett, Ralf Schwenkglenks, Matthias Gnant, Michael |
author_facet | Blank, Patricia R. Filipits, Martin Dubsky, Peter Gutzwiller, Florian Lux, Michael P. Brase, Jan C. Weber, Karsten E. Rudas, Margaretha Greil, Richard Loibl, Sibylle Szucs, Thomas D. Kronenwett, Ralf Schwenkglenks, Matthias Gnant, Michael |
author_sort | Blank, Patricia R. |
collection | PubMed |
description | BACKGROUND: The individual risk of recurrence in hormone receptor-positive primary breast cancer patients determines whether adjuvant endocrine therapy should be combined with chemotherapy. Clinicopathological parameters and molecular tests such as EndoPredict(®) (EPclin) can support decision making in patients with estrogen receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative cancer. OBJECTIVE: Using a life-long Markov state transition model, we determined the health economic impact and incremental cost effectiveness of EPclin-based risk stratification in combination with clinical guidelines [German-S3, National Comprehensive Cancer Center Network (NCCN), and St. Gallen] to decide on chemotherapy use. METHODS: Information on overall and metastasis-free survival came from Austrian Breast & Colorectal Cancer Study Group clinical trials 6/8 (n = 1,619) and published literature. Effectiveness was assessed as quality-adjusted life-years (QALYs). Costs (2010) were assessed from a German third-party payer perspective. RESULTS: Lifetime costs per patient ranged from €28,268 (St.Gallen and EPclin) to €33,756 (NCCN). Due to an imperfect prognostic value and differences in chemotherapy use, strategies achieved between 13.165 QALYs (NCCN) and 13.173 QALYs (EPclin alone) per patient. Using German-S3 as reference, three strategies showed dominant results (St. Gallen and EPclin, German-S3 and EPclin, EPclin alone). Compared to German-S3, the addition of EPclin saved €3,388 and gained 0.002 QALYs per patient. Combining guidelines with EPclin remained preferable in sensitivity analysis. CONCLUSION: Our study suggests that molecular markers can be sensibly combined with clinical guidelines to determine the risk profile of adjuvant breast cancer patients. Compared with the current German best practice (German-S3), combinations of EPclin with the St. Gallen, German-S3 or NCCN guideline and EPclin alone were dominant from the perspective of the German healthcare system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40273-014-0227-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4305105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-43051052015-01-28 Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients Blank, Patricia R. Filipits, Martin Dubsky, Peter Gutzwiller, Florian Lux, Michael P. Brase, Jan C. Weber, Karsten E. Rudas, Margaretha Greil, Richard Loibl, Sibylle Szucs, Thomas D. Kronenwett, Ralf Schwenkglenks, Matthias Gnant, Michael Pharmacoeconomics Original Research Article BACKGROUND: The individual risk of recurrence in hormone receptor-positive primary breast cancer patients determines whether adjuvant endocrine therapy should be combined with chemotherapy. Clinicopathological parameters and molecular tests such as EndoPredict(®) (EPclin) can support decision making in patients with estrogen receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative cancer. OBJECTIVE: Using a life-long Markov state transition model, we determined the health economic impact and incremental cost effectiveness of EPclin-based risk stratification in combination with clinical guidelines [German-S3, National Comprehensive Cancer Center Network (NCCN), and St. Gallen] to decide on chemotherapy use. METHODS: Information on overall and metastasis-free survival came from Austrian Breast & Colorectal Cancer Study Group clinical trials 6/8 (n = 1,619) and published literature. Effectiveness was assessed as quality-adjusted life-years (QALYs). Costs (2010) were assessed from a German third-party payer perspective. RESULTS: Lifetime costs per patient ranged from €28,268 (St.Gallen and EPclin) to €33,756 (NCCN). Due to an imperfect prognostic value and differences in chemotherapy use, strategies achieved between 13.165 QALYs (NCCN) and 13.173 QALYs (EPclin alone) per patient. Using German-S3 as reference, three strategies showed dominant results (St. Gallen and EPclin, German-S3 and EPclin, EPclin alone). Compared to German-S3, the addition of EPclin saved €3,388 and gained 0.002 QALYs per patient. Combining guidelines with EPclin remained preferable in sensitivity analysis. CONCLUSION: Our study suggests that molecular markers can be sensibly combined with clinical guidelines to determine the risk profile of adjuvant breast cancer patients. Compared with the current German best practice (German-S3), combinations of EPclin with the St. Gallen, German-S3 or NCCN guideline and EPclin alone were dominant from the perspective of the German healthcare system. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40273-014-0227-x) contains supplementary material, which is available to authorized users. Springer International Publishing 2014-11-18 2015 /pmc/articles/PMC4305105/ /pubmed/25404424 http://dx.doi.org/10.1007/s40273-014-0227-x Text en © The Author(s) 2014 https://creativecommons.org/licenses/by-nc/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Research Article Blank, Patricia R. Filipits, Martin Dubsky, Peter Gutzwiller, Florian Lux, Michael P. Brase, Jan C. Weber, Karsten E. Rudas, Margaretha Greil, Richard Loibl, Sibylle Szucs, Thomas D. Kronenwett, Ralf Schwenkglenks, Matthias Gnant, Michael Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title | Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title_full | Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title_fullStr | Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title_full_unstemmed | Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title_short | Cost-Effectiveness Analysis of Prognostic Gene Expression Signature-Based Stratification of Early Breast Cancer Patients |
title_sort | cost-effectiveness analysis of prognostic gene expression signature-based stratification of early breast cancer patients |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305105/ https://www.ncbi.nlm.nih.gov/pubmed/25404424 http://dx.doi.org/10.1007/s40273-014-0227-x |
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