Literature DB >> 24685596

European inter-institutional impact study of MammaPrint.

P G Cusumano1, D Generali2, E Ciruelos3, L Manso3, I Ghanem3, E Lifrange4, G Jerusalem4, J Klaase5, F de Snoo6, L Stork-Sloots6, L Dekker-Vroling6, M Lutke Holzik7.   

Abstract

AIM: To measure the impact of MammaPrint on adjuvant treatment decisions and to analyze the agreement in treatment decisions between hospitals from 4 European countries for the same patient cohort.
METHODS: Breast cancer patients were prospectively enrolled and MammaPrint was assessed. Patients' clinical data without and then with MammaPrint results were sent to the different multidisciplinary teams and treatment advice was provided for each patient.
RESULTS: Using MammaPrint, chemotherapy treatment advice for ER+/HER2- breast cancer patients was changed in 37% of patients by the Dutch, 24% by the Belgian, 28% by the Italian and 35% by the Spanish teams. MammaPrint increased the inter-institutional agreement in treatment advice (chemotherapy or no chemotherapy) from 51% to 75%.
CONCLUSION: The results of this study indicate that MammaPrint impacts adjuvant chemotherapy recommendation. MammaPrint can decrease inter-institutional and inter-country variability in adjuvant treatment advice for breast cancer patients.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adjuvant chemotherapy; Breast cancer; Gene-expression profile; MammaPrint; Prognostic information; Treatment advice

Mesh:

Substances:

Year:  2014        PMID: 24685596     DOI: 10.1016/j.breast.2014.02.011

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  9 in total

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Review 2.  Multidisciplinary care of breast cancer patients: a scoping review of multidisciplinary styles, processes, and outcomes.

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Journal:  Curr Oncol       Date:  2019-06-01       Impact factor: 3.677

Review 3.  Consensus on biomarkers for neuroendocrine tumour disease.

Authors:  Kjell Oberg; Irvin M Modlin; Wouter De Herder; Marianne Pavel; David Klimstra; Andrea Frilling; David C Metz; Anthony Heaney; Dik Kwekkeboom; Jonathan Strosberg; Timothy Meyer; Steven F Moss; Kay Washington; Edward Wolin; Eric Liu; James Goldenring
Journal:  Lancet Oncol       Date:  2015-09       Impact factor: 41.316

4.  Prospective, multicenter study on the economic and clinical impact of gene-expression assays in early-stage breast cancer from a single region: the PREGECAM registry experience.

Authors:  S Pérez Ramírez; M Del Monte-Millán; S López-Tarruella; N Martínez Jáñez; I Márquez-Rodas; F Lobo Samper; Y Izarzugaza Perón; C Rubio Terres; D Rubio Rodríguez; J Á García-Sáenz; F Moreno Antón; P Zamora Auñón; M Arroyo Yustos; M Á Lara Álvarez; E M Ciruelos Gil; L Manso Sánchez; M J Echarri González; J A Guerra Martínez; C Jara Sánchez; C Bueno Muiño; S García Adrián; J R Carrión Galindo; V Valentín Maganto; M Martín
Journal:  Clin Transl Oncol       Date:  2019-07-12       Impact factor: 3.405

5.  A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning.

Authors:  Johannes Vey; Lorenz A. Kapsner; Maximilian Fuchs; Philipp Unberath; Giulia Veronesi; Meik Kunz
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

6.  Patients' perceptions of 70-gene signature testing: commonly changing the initial inclination to undergo or forego chemotherapy and reducing decisional conflict.

Authors:  Julia E C van Steenhoven; Bianca M den Dekker; Anne Kuijer; Paul J van Diest; Peter Nieboer; Johanna M Zuetenhorst; Alex L Th Imholz; Sabine Siesling; Thijs van Dalen
Journal:  Breast Cancer Res Treat       Date:  2020-05-19       Impact factor: 4.872

7.  Using a gene expression signature when controversy exists regarding the indication for adjuvant systemic treatment reduces the proportion of patients receiving adjuvant chemotherapy: a nationwide study.

Authors:  A Kuijer; A C M van Bommel; C A Drukker; M van der Heiden-van der Loo; C H Smorenburg; P J Westenend; S C Linn; E J Th Rutgers; S G Elias; Th van Dalen
Journal:  Genet Med       Date:  2015-11-19       Impact factor: 8.822

8.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06

9.  Molecular breast cancer subtypes and therapies in a public hospital of northeastern Brazil.

Authors:  Ana Cláudia de Macêdo Andrade; Carlos Alberis Ferreira Júnior; Beatriz Dantas Guimarães; Ana Waleska Pessoa Barros; Gibran Sarmento de Almeida; Mathias Weller
Journal:  BMC Womens Health       Date:  2014-09-12       Impact factor: 2.809

  9 in total

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