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Breast cancer prognosis

Jonathan B Weitzman

Genome Biology 2002, 3:spotlight-20020204-01  doi:10.1186/gb-spotlight-20020204-01

The electronic version of this article is the complete one and can be found online at:

Published:4 February 2002

© 2002 BioMed Central Ltd

Research news

No-one really understands why some women with breast cancer respond well to chemotherapy while others do not, or how to predict an individual patient's chances of survival. In the January 31 Nature, Laura van't Veer and colleagues describe a gene-expression profiling study of breast tumours (Nature 2002, 415:530-536). They chose around 100 primary breast cancers (with and without metastases or BRCA1 mutations) and looked at the relative expression levels of 25,000 genes. They used a three-step supervised classification method to distinguish groups of tumours with good or poor prognosis. An expression signature panel of 70 genes could accurately predict 'poor prognosis' patients. This set includes genes encoding proteins involved in cell invasion, metastasis and angiogenesis. Women under 55 who are diagnosed with lymph-node-negative breast cancer have a 28-fold higher chance of developing distant metastases within 5 years if they have a 'poor prognosis signature' rather than a 'good prognosis signature'. This predictor is better than current clinical and histopathological prognostic factors, and may help to improve the criteria for selecting patients for adjuvant therapy.


  1. Prognostic indicators in early breast cancer.

    PubMed Abstract OpenURL

  2. [] webcite


  3. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks.

    PubMed Abstract | Publisher Full Text OpenURL

  4. [] webcite

    Gene expression profiling predicts clinical outcome of breast cancer.