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research article

Identification of molecular apocrine breast tumours by microarray analysis

Farmer, P.
•
Bonnefoi, H.
•
Becette, V.
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2005
Oncogene

Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+).

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Type
research article
DOI
10.1038/sj.onc.1208561
Author(s)
Farmer, P.
Bonnefoi, H.
Becette, V.
Tubiana-Hulin, M.
Fumoleau, P.
Larsimont, D.
Macgrogan, G.
Bergh, J.
Cameron, D.
Goldstein, D.  
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Date Issued

2005

Published in
Oncogene
Volume

24

Issue

29

Start page

4660

End page

71

Note

Swiss Institute of Bioinformatics, Lausanne, Switzerland.

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
STAT  
UPBRI  
Available on Infoscience
January 24, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/17139
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