S Pérez Ramírez1, M Del Monte-Millán2, S López-Tarruella2, N Martínez Jáñez3, I Márquez-Rodas2, F Lobo Samper4, Y Izarzugaza Perón4, C Rubio Terres5, D Rubio Rodríguez5, J Á García-Sáenz6, F Moreno Antón6, P Zamora Auñón7, M Arroyo Yustos8, M Á Lara Álvarez9, E M Ciruelos Gil10, L Manso Sánchez10, M J Echarri González11, J A Guerra Martínez12, C Jara Sánchez13, C Bueno Muiño14, S García Adrián15, J R Carrión Galindo16, V Valentín Maganto17, M Martín18. 1. Medical Oncology Service, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain. 2. Medical Oncology Service, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CiberOnc, Madrid, Spain. 3. Medical Oncology Service, Hospital Universitario Ramón y Cajal, Madrid, Spain. 4. Medical Oncology Service, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain. 5. HEALTH VALUE, Health Economics & Research of Outcomes Consulting, Madrid, Spain. 6. Medical Oncology Service, Hospital Universitario Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain. 7. Medical Oncology Service, Hospital Universitario La Paz, Madrid, Spain. 8. Medical Oncology Service, Hospital Universitario Príncipe de Asturias, Madrid, Spain. 9. Medical Oncology Service, Hospital Universitario Infanta Leonor, Madrid, Spain. 10. Medical Oncology Service, Hospital Universitario 12 de Octubre, Madrid, Spain. 11. Medical Oncology Service, Hospital Universitario Severo Ochoa, Madrid, Spain. 12. Medical Oncology Service, Hospital Universitario de Fuenlabrada, Madrid, Spain. 13. Medical Oncology Service, Hospital Universitario Fundación Alcorcón, Universidad Rey Juan Carlos, Móstoles, Spain. 14. Medical Oncology Service, Hospital Universitario Infanta Cristina, Parla, Madrid, Spain. 15. Medical Oncology Service, Hospital Universitario de Móstoles, Madrid, Spain. 16. Medical Oncology Service, Hospital del Sureste Arganda del Rey, Madrid, Spain. 17. Regional Oncology Coordinator, Madrid, Spain. 18. Medical Oncology Service, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERONC, GEICAM (Spanish Breast Cancer Group), Universidad Complutense, Madrid, Spain. mmartin@geicam.org.
Abstract
INTRODUCTION: The aim of this study is to evaluate the cost-effectiveness and impact of gene-expression assays (GEAs) on treatment decisions in a real-world setting of early-stage breast cancer (ESBC) patients. METHODS: This is a regional, prospective study promoted by the Council Health Authorities in Madrid. Enrolment was offered to women with estrogen receptor-positive, human epidermal growth factor receptor 2-negative, node-negative or micrometastatic, stage I or II breast cancer from 21 hospitals in Madrid. Treatment recommendations were recorded before and after knowledge of tests results. An economic model compared the cost-effectiveness of treatment, guided by GEAs or by common prognostic factors. RESULTS: 907 tests (440 Oncotype DX® and 467 MammaPrint®) were performed between February 2012 and November 2014. Treatment recommendation changed in 42.6% of patients. The shift was predominantly from chemohormonal (CHT) to hormonal therapy (HT) alone, in 30.5% of patients. GEAs increased patients' confidence in treatment decision making. Tumor grade, progesterone receptor positivity and Ki67 expression were associated with the likelihood of change from CHT to HT (P < 0.001) and from HT to CHT (P < 0.001). Compared with current clinical practice genomic testing increased quality-adjusted life years by 0.00787 per patient and was cost-saving from a national health care system (by 13.867€ per patient) and from a societal perspective (by 32.678€ per patient). CONCLUSION: Using GEAs to guide adjuvant therapy in ESBC is cost-effective in Spain and has a significant impact on treatment decisions.
INTRODUCTION: The aim of this study is to evaluate the cost-effectiveness and impact of gene-expression assays (GEAs) on treatment decisions in a real-world setting of early-stage breast cancer (ESBC) patients. METHODS: This is a regional, prospective study promoted by the Council Health Authorities in Madrid. Enrolment was offered to women with estrogen receptor-positive, human epidermal growth factor receptor 2-negative, node-negative or micrometastatic, stage I or II breast cancer from 21 hospitals in Madrid. Treatment recommendations were recorded before and after knowledge of tests results. An economic model compared the cost-effectiveness of treatment, guided by GEAs or by common prognostic factors. RESULTS: 907 tests (440 Oncotype DX® and 467 MammaPrint®) were performed between February 2012 and November 2014. Treatment recommendation changed in 42.6% of patients. The shift was predominantly from chemohormonal (CHT) to hormonal therapy (HT) alone, in 30.5% of patients. GEAs increased patients' confidence in treatment decision making. Tumor grade, progesterone receptor positivity and Ki67 expression were associated with the likelihood of change from CHT to HT (P < 0.001) and from HT to CHT (P < 0.001). Compared with current clinical practice genomic testing increased quality-adjusted life years by 0.00787 per patient and was cost-saving from a national health care system (by 13.867€ per patient) and from a societal perspective (by 32.678€ per patient). CONCLUSION: Using GEAs to guide adjuvant therapy in ESBC is cost-effective in Spain and has a significant impact on treatment decisions.
Entities:
Keywords:
Breast cancer; Cost analysis; Gene-expression profiling; Quality-adjusted life years
Authors: Arantzazu Arrospide; Myriam Soto-Gordoa; Teresa Acaiturri; Guillermo López-Vivanco; Luis Carlos Abecia; Javier Mar Journal: Rev Esp Salud Publica Date: 2015 Jan-Feb
Authors: Joseph Gligorov; Xavier B Pivot; William Jacot; Hervé L Naman; Dominique Spaeth; Jean-Louis Misset; Rémy Largillier; Jean-Loup Sautiere; Anne de Roquancourt; Christophe Pomel; Philippe Rouanet; Roman Rouzier; Frederique M Penault-Llorca Journal: Oncologist Date: 2015-06-25
Authors: Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain Journal: J Clin Oncol Date: 2010-01-11 Impact factor: 44.544
Authors: J M N Lopes Cardozo; M K Schmidt; L J van 't Veer; F Cardoso; C Poncet; E J T Rutgers; C A Drukker Journal: Breast Cancer Res Treat Date: 2021-06-30 Impact factor: 4.872