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Defining the galaxy of gene expression in breast cancer.

Authors
Type
Published Article
Journal
Breast Cancer Research
1465-5411
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
4
Issue
4
Pages
141–144
Identifiers
PMID: 12100738
Source
Medline
License
Unknown

Abstract

Recent reports detailing the expression profiles of primary breast cancer have pointed to the utility of this approach in defining subclasses with distinct molecular configurations and clinical behaviour. Some of the subclasses can be predicted by current molecular tests: estrogen receptor status, p53 staining, and HER-2 overexpression. Others, however, are novel subgroups and may represent distinct cellular types. The results from two recent studies suggest common principles of classification by expression profiling. These principles are examined and the impact of these results on understanding the biology and the clinical behaviour of breast tumors is explored.

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