Identification of molecular apocrine breast tumours by microarray analysis
Top Cited Papers
Open Access
- 9 May 2005
- journal article
- research article
- Published by Springer Nature in Oncogene
- Vol. 24 (29) , 4660-4671
- https://doi.org/10.1038/sj.onc.1208561
Abstract
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 α 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+).Keywords
This publication has 45 references indexed in Scilit:
- EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib TherapyScience, 2004
- Profiling of Estrogen Up- and Down-Regulated Gene Expression in Human Breast Cancer Cells: Insights into Gene Networks and Pathways Underlying Estrogenic Control of Proliferation and Cell PhenotypeEndocrinology, 2003
- Breast cancer classification and prognosis based on gene expression profiles from a population-based studyProceedings of the National Academy of Sciences, 2003
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences, 2003
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences, 2001
- Molecular Cytogenetic Comparison of Apocrine Hyperplasia and Apocrine Carcinoma of the BreastThe American Journal of Pathology, 2001
- Hypoxia Induces the Expression of a 43-kDa Protein (PROXY-1) in Normal and Malignant CellsBiochemical and Biophysical Research Communications, 2000
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysisJournal of Computational and Applied Mathematics, 1987
- Androgen metabolism and apocrine differentiation in human breast cancerBreast Cancer Research and Treatment, 1985