Literature DB >> 19383299

The MINDACT trial: the first prospective clinical validation of a genomic tool.

Fatima Cardoso1, Martine Piccart-Gebhart, Laura Van't Veer, Emiel Rutgers.   

Abstract

One of the main challenges in oncology today has become to distinguish accurately between those patients who need adjuvant treatment and those who do not. This, together with the identification of the best type of therapy for the individual patient and the development of drugs targeting specific characteristics of tumour cells, are the goals of treatment tailoring or personalized medicine. The MINDACT trial (Microarray In Node negative Disease may Avoid ChemoTherapy) was recently launched with the aim of prospectively validating the superior performance of a new prognostic RNA-based tool--the Amsterdam 70-gene profiler MammaPrint, in order to implement its use in clinical practice later on. This manuscript shortly reviews the rational, design and logistics of MINDACT.

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Year:  2007        PMID： 19383299      PMCID： PMC5543876          DOI： 10.1016/j.molonc.2007.10.004

Source DB:  PubMed          Journal:  Mol Oncol        ISSN： 1574-7891            Impact factor:   6.603


  21 in total

1.  Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.

Authors:  Christine Desmedt; Fanny Piette; Sherene Loi; Yixin Wang; Françoise Lallemand; Benjamin Haibe-Kains; Giuseppe Viale; Mauro Delorenzi; Yi Zhang; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian L Harris; Jan G M Klijn; John A Foekens; Fatima Cardoso; Martine J Piccart; Marc Buyse; Christos Sotiriou
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

2.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

3.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

Authors:  Yixin Wang; Jan G M Klijn; Yi Zhang; Anieta M Sieuwerts; Maxime P Look; Fei Yang; Dmitri Talantov; Mieke Timmermans; Marion E Meijer-van Gelder; Jack Yu; Tim Jatkoe; Els M J J Berns; David Atkins; John A Foekens
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

4.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

5.  Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer.

Authors:  John A Foekens; David Atkins; Yi Zhang; Fred C G J Sweep; Nadia Harbeck; Angelo Paradiso; Tanja Cufer; Anieta M Sieuwerts; Dmitri Talantov; Paul N Span; Vivianne C G Tjan-Heijnen; Alfredo F Zito; Katja Specht; Heinz Hoefler; Rastko Golouh; Francesco Schittulli; Manfred Schmitt; Louk V A M Beex; Jan G M Klijn; Yixin Wang
Journal:  J Clin Oncol       Date:  2006-02-27       Impact factor: 44.544

6.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.

Authors:  P M Ravdin; L A Siminoff; G J Davis; M B Mercer; J Hewlett; N Gerson; H L Parker
Journal:  J Clin Oncol       Date:  2001-02-15       Impact factor: 44.544

7.  Breast cancer classification and prognosis based on gene expression profiles from a population-based study.

Authors:  Christos Sotiriou; Soek-Ying Neo; Lisa M McShane; Edward L Korn; Philip M Long; Amir Jazaeri; Philippe Martiat; Steve B Fox; Adrian L Harris; Edison T Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-13       Impact factor: 11.205

8.  Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.

Authors:  Christos Sotiriou; Pratyaksha Wirapati; Sherene Loi; Adrian Harris; Steve Fox; Johanna Smeds; Hans Nordgren; Pierre Farmer; Viviane Praz; Benjamin Haibe-Kains; Christine Desmedt; Denis Larsimont; Fatima Cardoso; Hans Peterse; Dimitry Nuyten; Marc Buyse; Marc J Van de Vijver; Jonas Bergh; Martine Piccart; Mauro Delorenzi
Journal:  J Natl Cancer Inst       Date:  2006-02-15       Impact factor: 13.506

9.  The molecular portraits of breast tumors are conserved across microarray platforms.

Authors:  Zhiyuan Hu; Cheng Fan; Daniel S Oh; J S Marron; Xiaping He; Bahjat F Qaqish; Chad Livasy; Lisa A Carey; Evangeline Reynolds; Lynn Dressler; Andrew Nobel; Joel Parker; Matthew G Ewend; Lynda R Sawyer; Junyuan Wu; Yudong Liu; Rita Nanda; Maria Tretiakova; Alejandra Ruiz Orrico; Donna Dreher; Juan P Palazzo; Laurent Perreard; Edward Nelson; Mary Mone; Heidi Hansen; Michael Mullins; John F Quackenbush; Matthew J Ellis; Olufunmilayo I Olopade; Philip S Bernard; Charles M Perou
Journal:  BMC Genomics       Date:  2006-04-27       Impact factor: 3.969

Review 10.  Individualization of therapy using Mammaprint: from development to the MINDACT Trial.

Authors:  Stella Mook; Laura J Van't Veer; Emiel J T Rutgers; Martine J Piccart-Gebhart; Fatima Cardoso
Journal:  Cancer Genomics Proteomics       Date:  2007 May-Jun       Impact factor: 4.069
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  41 in total

Review 1.  Gene-expression-based prognostic assays for breast cancer.

Authors:  Chungyeul Kim; Soonmyung Paik
Journal:  Nat Rev Clin Oncol       Date:  2010-05-04       Impact factor: 66.675

2.  Subtype-dependent prognostic relevance of an interferon-induced pathway metagene in node-negative breast cancer.

Authors:  Maurizio Callari; Valeria Musella; Eleonora Di Buduo; Marialuisa Sensi; Patrizia Miodini; Matteo Dugo; Rosaria Orlandi; Roberto Agresti; Biagio Paolini; Maria Luisa Carcangiu; Vera Cappelletti; Maria Grazia Daidone
Journal:  Mol Oncol       Date:  2014-05-04       Impact factor: 6.603

3.  Tailoring cancer therapy - validating basic science with the 'supertrial'.

Authors: 
Journal:  Mol Oncol       Date:  2009-12       Impact factor: 6.603

4.  Proteomics of mouse BRCA1-deficient mammary tumors identifies DNA repair proteins with potential diagnostic and prognostic value in human breast cancer.

Authors:  Marc Warmoes; Janneke E Jaspers; Thang V Pham; Sander R Piersma; Gideon Oudgenoeg; Maarten P G Massink; Quinten Waisfisz; Sven Rottenberg; Epie Boven; Jos Jonkers; Connie R Jimenez
Journal:  Mol Cell Proteomics       Date:  2012-02-24       Impact factor: 5.911

5.  Selecting cases for whom additional tests can improve prognostication.

Authors:  Xiaoqian Jiang; Jihoon Kim; Yuan Wu; Shuang Wang; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  A three-gene model to robustly identify breast cancer molecular subtypes.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Sherene Loi; Aedin C Culhane; Gianluca Bontempi; John Quackenbush; Christos Sotiriou
Journal:  J Natl Cancer Inst       Date:  2012-01-18       Impact factor: 13.506

7.  A catalyst for change: the European cancer Patient's Bill of Rights.

Authors:  Mark Lawler; Thierry Le Chevalier; Martin J Murphy; Ian Banks; Pierfranco Conte; Francesco De Lorenzo; Françoise Meunier; H M Pinedo; Peter Selby; Jean-Pierre Armand; Mariano Barbacid; Michèle Barzach; Jonas Bergh; Gerlind Bode; David A Cameron; Filippo de Braud; Aimery de Gramont; Volker Diehl; Sarper Diler; Sema Erdem; John M Fitzpatrick; Jan Geissler; Donal Hollywood; Liselotte Højgaard; Denis Horgan; Jacek Jassem; Peter W Johnson; Peter Kapitein; Joan Kelly; Sandra Kloezen; Carlo La Vecchia; Bob Löwenberg; Kathy Oliver; Richard Sullivan; Josep Tabernero; Cornelis J Van de Velde; Nils Wilking; Roger Wilson; Christoph Zielinski; Harald Zur Hausen; Patrick G Johnston
Journal:  Oncologist       Date:  2014-02-03

8.  Breast cancer in the personal genomics era.

Authors:  Rachel E Ellsworth; David J Decewicz; Craig D Shriver; Darrell L Ellsworth
Journal:  Curr Genomics       Date:  2010-05       Impact factor: 2.236

Review 9.  Minimizing early relapse and maximizing treatment outcomes in hormone-sensitive postmenopausal breast cancer: efficacy review of AI trials.

Authors:  Christos J Markopoulos
Journal:  Cancer Metastasis Rev       Date:  2010-12       Impact factor: 9.264

10.  A fuzzy gene expression-based computational approach improves breast cancer prognostication.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Françoise Rothé; Martine Piccart; Christos Sotiriou; Gianluca Bontempi
Journal:  Genome Biol       Date:  2010-02-15       Impact factor: 13.583
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