Literature DB >> 23485165

MammaPrint 70-gene profile quantifies the likelihood of recurrence for early breast cancer.

Philippe L Bedard1, Stella Mook, Martine J Piccart-Gebhart, Emiel T Rutgers, Laura J Van't Veer, Fatima Cardoso.   

Abstract

BACKGROUND: Over the past few years, a variety of multigene expression profiles have been developed to improve prognostication for early stage breast cancer and reduce overtreatment with chemotherapy. MammaPrint is the only test cleared by the US Food and Drug Administration for the prognostication of early breast cancer. The MammaPrint assay examines the expression of 70 genes in the primary tumor to stratify patients diagnosed with early stage breast cancer into good and poor prognosis groups.
OBJECTIVE: This evaluation reviews the development of the 70-gene profile, including validation studies involving patients with node-negative and 1 - 3 node-positive disease, the conversion of the 70-gene profile to a high-throughput diagnostic test, and the continuing prospective MINDACT clinical trial.
CONCLUSION: The MammaPrint assay should help to determine which women with early breast cancer could be spared adjuvant chemotherapy.

Entities:  

Year:  2009        PMID: 23485165     DOI: 10.1517/17530050902751618

Source DB:  PubMed          Journal:  Expert Opin Med Diagn        ISSN: 1753-0059


  5 in total

Review 1.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

2.  Expression and prognosis analysis of GINS subunits in human breast cancer.

Authors:  Hongtao Li; Yanzhen Cao; Jing Ma; Lin Luo; Binlin Ma
Journal:  Medicine (Baltimore)       Date:  2021-03-19       Impact factor: 1.817

3.  Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification.

Authors:  Enrico Glaab
Journal:  Brief Bioinform       Date:  2015-07-02       Impact factor: 11.622

Review 4.  Proteomic Workflows for Biomarker Identification Using Mass Spectrometry - Technical and Statistical Considerations during Initial Discovery.

Authors:  Dennis J Orton; Alan A Doucette
Journal:  Proteomes       Date:  2013-08-27

5.  Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer.

Authors:  Jiande Wu; Tarun K K Mamidi; Lu Zhang; Chindo Hicks
Journal:  Int J Genomics       Date:  2020-07-06       Impact factor: 2.326

  5 in total

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