Literature DB >> 17878518

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

Stella Mook1, Laura J Van't Veer, Emiel J T Rutgers, Martine J Piccart-Gebhart, Fatima Cardoso.   

Abstract

To date, most treatment decisions for adjuvant chemotherapy in breast cancer are sed on conventional clinicopathological criteria. Since breast cancer tumors with similar clinicopathological characteristics can have strikingly different outcomes, the current selection for adjuvant chemotherapy is far from accurate. Using high-throughput microarray analysis, a 70-gene signature was identified which can accurately select early stage breast cancer patients who are highly likely to develop distant metastases, and therefore, may benefit the most from adjuvant chemotherapy. This review describes the development of the 70-gene profile (Mammaprint), its retrospective validation and feasibility studies, and its prospective validation in the large adjuvant MINDACT (Microarray In Node-negative Disease may Avoid ChemoTherapy) clinical trial.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17878518

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  37 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.  Adjuvant Systemic Therapy, Quo Vadis? Patient Selection, Prognostic and Predictive Factors.

Authors:  Fatima Cardoso
Journal:  Breast Care (Basel)       Date:  2008-12-02       Impact factor: 2.860

3.  Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.

Authors:  Adi L Tarca; Mario Lauria; Michael Unger; Erhan Bilal; Stephanie Boue; Kushal Kumar Dey; Julia Hoeng; Heinz Koeppl; Florian Martin; Pablo Meyer; Preetam Nandy; Raquel Norel; Manuel Peitsch; Jeremy J Rice; Roberto Romero; Gustavo Stolovitzky; Marja Talikka; Yang Xiang; Christoph Zechner
Journal:  Bioinformatics       Date:  2013-08-20       Impact factor: 6.937

4.  Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach.

Authors:  Xinyan Zhang; Yan Li; Tomi Akinyemiju; Akinyemi I Ojesina; Phillip Buckhaults; Nianjun Liu; Bo Xu; Nengjun Yi
Journal:  Genetics       Date:  2016-11-09       Impact factor: 4.562

Review 5.  Diagnostic microarrays in hematologic oncology: applications of high- and low-density arrays.

Authors:  Tatyana V Nasedkina; Natalia A Guseva; Olga A Gra; Olga N Mityaeva; Alexander V Chudinov; Alexander S Zasedatelev
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

6.  Diagnosis and medical treatment of breast cancer. Cordoba Consensus of 2007.

Authors:  Juan de la Haba-Rodríguez; Emilio Alba; Agustí Barnadas; Eloisa Bayo; Antonio Llombart; Ana Lluch; Miguel Martín; José Andrés Moreno-Nogueira; Gumersindo Pérez Manga; Alvaro Rodríguez-Lescure; Enrique Aranda
Journal:  Clin Transl Oncol       Date:  2008-09       Impact factor: 3.405

Review 7.  Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background Document to the ESHG recommendations on genetic testing and common disorders.

Authors:  Frauke Becker; Carla G van El; Dolores Ibarreta; Eleni Zika; Stuart Hogarth; Pascal Borry; Anne Cambon-Thomsen; Jean Jacques Cassiman; Gerry Evers-Kiebooms; Shirley Hodgson; A Cécile J W Janssens; Helena Kaariainen; Michael Krawczak; Ulf Kristoffersson; Jan Lubinski; Christine Patch; Victor B Penchaszadeh; Andrew Read; Wolf Rogowski; Jorge Sequeiros; Lisbeth Tranebjaerg; Irene M van Langen; Helen Wallace; Ron Zimmern; Jörg Schmidtke; Martina C Cornel
Journal:  Eur J Hum Genet       Date:  2011-04       Impact factor: 4.246

8.  Stability of ranked gene lists in large microarray analysis studies.

Authors:  Gregor Stiglic; Peter Kokol
Journal:  J Biomed Biotechnol       Date:  2010-06-27

9.  Pathway index models for construction of patient-specific risk profiles.

Authors:  Kevin H Eng; Sijian Wang; William H Bradley; Janet S Rader; Christina Kendziorski
Journal:  Stat Med       Date:  2012-10-16       Impact factor: 2.373

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

Authors:  Fatima Cardoso; Martine Piccart-Gebhart; Laura Van't Veer; Emiel Rutgers
Journal:  Mol Oncol       Date:  2007-10-22       Impact factor: 6.603

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.