Evolution in the real-world therapeutic strategies in more than 20,000 women with breast cancer having received human epidermal growth factor receptor 2–targeted treatments: Results from the french personalized reimbursement model database (2011–2018)
Autor: | Xavier Pivot, Anne Doly, Julien Manson, L. Samelson, Paul Cottu, Olivier Aujoulat, Hugues Barletta, Nassera Chalabi, Bruno Coudert, David Pérol |
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Přispěvatelé: | Département d'Oncologie Médicale [Institut Curie, Paris], Institut Curie [Paris], Département d'oncologie médicale [Centre Georges-François Leclerc], Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, Département cancer environnement (Centre Léon Bérard - Lyon), Centre Léon Bérard [Lyon], Université Clermont Auvergne (UCA), Centre Hospitalier René Dubos [Pontoise], Groupe hospitalier de la région de Mulhouse et Sud-Alsace, Hôpital privé Drôme Ardèche, groupe Ramsay générale de santé, site Pasteur, Roche France, CRLCC Paul Strauss, Neuro-Dol (Neuro-Dol), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Adult
0301 basic medicine Oncology Cancer Research medicine.medical_specialty Receptor ErbB-2 [SDV]Life Sciences [q-bio] Breast Neoplasms Pharmacy Antibodies Monoclonal Humanized Young Adult 03 medical and health sciences chemistry.chemical_compound Antineoplastic Agents Immunological 0302 clinical medicine Breast cancer Trastuzumab Internal medicine HER2 Antineoplastic Combined Chemotherapy Protocols Humans Medicine Molecular Targeted Therapy Stage (cooking) skin and connective tissue diseases Reimbursement Trastuzumab emtansine Aged Retrospective Studies Aged 80 and over Pertuzumab Retrospective real-world data study business.industry Cancer Middle Aged medicine.disease 3. Good health 030104 developmental biology chemistry 030220 oncology & carcinogenesis Female France business medicine.drug |
Zdroj: | European Journal of Cancer European Journal of Cancer, 2020, 141, pp.209-217. ⟨10.1016/j.ejca.2020.10.012⟩ European Journal of Cancer, Elsevier, 2020, 141, pp.209-217. ⟨10.1016/j.ejca.2020.10.012⟩ |
ISSN: | 0959-8049 |
DOI: | 10.1016/j.ejca.2020.10.012⟩ |
Popis: | International audience; Background: There is a growing need for real-world data on cancer treatments usage, especially to assess compliance with recommendations. We developed a French project using hospital data to analyse evolution in the therapeutic strategies implemented in patients with human epidermal growth factor receptor 2 (HER2)-overexpressed (HER2+) breast cancer (BC) and exposed to injectable HER2-targeted therapies, i.e. trastuzumab, pertuzumab or trastuzumab emtansine (T-DM1).Patients and methods: Data from 26,350 women with BC were extracted in September 2018 from the Electronic Pharmacy Record systems of 120 French randomly recruited hospitals. Evolution in the treatments used, and combination regimens were described from 2011, in accordance with the BC stage and treatment line.Results: Overall, 21,119 patients treated since 2011 were analysed: 16,398 patients with early BC (eBC) and 6030 patients with metastatic BC (mBC) including patients treated at both stages. In eBC, 89.2% of patients received trastuzumab combined with at least taxanes (trastuzumab-taxane-anthracycline: 62.6%). Patients with mBC were treated in the first line (80.3%) and/or the second line (40.1%) and/or ≥ the third line (28.3%). After its approval in 2014, pertuzumab was first used in first-line therapy combinations in 67.4% of the total cases, while trastuzumab-taxane decreased from 47.2% to 9.2%. Similarly, T-DM1 was used as the second-line treatment in 53.8% of cases.Conclusions: Given recent changes in available treatments for patients with HER2+ BC, this large French project provides robust information on real-world evolution in therapeutic strategies. Our data suggest there is room for significant improvement in optimal drug utilisation. Such data will be useful to build drug-related indicators for future value-based pricing solutions. |
Databáze: | OpenAIRE |
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