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PMID: 16261404 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Identification of cell-of-origin breast tumor subtypes in inflammatory breast cancer by gene expression profiling.

Breast cancer research and treatment ·Vol. 95 ·No. 3 ·2006-02-00 ·Pages 243-55

Van Laere SJ, Van den Eynden GG, Van der Auwera I, Vandenberghe M, van Dam P, Van Marck EA, van Golen KL, Vermeulen PB, Dirix LY

Abstract

Inflammatory breast cancer (IBC) is an aggressive form of locally advanced breast cancer with high metastatic potential. Most patients have lymph node involvement at the time of diagnosis and 1/3 of the patients have distant metastases. In a previous study, we demonstrated that IBC is a distinct form of breast cancer in comparison with non-IBC. The aim of this study was to investigate the presence of the different molecular subtypes in our data set of 16 IBC and 18 non-IBC specimen. Therefore, we selected an 'intrinsic gene set' of 144 genes, present on our cDNA chips and common to the 'intrinsic gene set' described by Sorlie et al. [PNAS, 2003]. This set of genes was tested for performance in the Norway/Stanford data set by unsupervised hierarchical clustering. Expression centroids were then calculated for the core members of each of the five subclasses in the Norway/Stanford data set and used to classify our own specimens by calculating Spearman correlations between each sample and each centroid. We identified the same cell-of-origin subtypes in IBC as those already described in non-IBC. The classification was in good agreement with immunohistochemical data for estrogen receptor protein expression and cytokeratin 5/6 protein expression. Confirmation was done by an alternative unsupervised hierarchical clustering method. The robustness of this classification was assessed by an unsupervised hierarchical clustering with an alternative gene set of 141 genes related to the cell-of-origin subtypes, selected using a discriminating score and iterative random permutation testing. The contribution of the different cell-of-origin subtypes to the IBC phenotype was investigated by principal component analysis. Generally, the combined ErbB2-overexpressing and basal-like cluster was more expressed in IBC compared to non-IBC, whereas the combined luminal A, luminal B and normal-like cluster was more pronounced in non-IBC compared to IBC. The presence of the same molecular cell-of-origin subtypes in IBC as in non-IBC does not exclude the specific molecular nature of IBC, since gene lists that characterize IBC and non-IBC are entirely different from gene lists that define the different cell-of-origin subtypes, as evidenced by principal component analysis.

MeSH Terms
Adenocarcinoma/classification,genetics,metabolism Biomarkers, Tumor/genetics,metabolism Breast Neoplasms/classification,genetics,metabolism Carcinoma, Ductal, Breast/genetics,metabolism Female Gene Expression Profiling Humans Immunoenzyme Techniques Oligonucleotide Array Sequence Analysis
Chemicals
Biomarkers, Tumor
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Van Laere Steven J
Translational Cancer Research Group, Lab Pathology University of Antwerp and Oncology Center, General Hospital Sint-Augustinus, Wilrijk, Belgium.
Van den Eynden Gert G
Van der Auwera Ilse
Vandenberghe Melanie
van Dam Peter
Van Marck Eric A
van Golen Kenneth L
Vermeulen Peter B
Dirix Luc Y
Article Info
Journal
Breast cancer research and treatment
Abbr.
Breast Cancer Res Treat
ISSN
0167-6806
Published
2006-02-00
Epub
2005-00-27
Pages
243-55
Language
English
Region
Netherlands
NLM ID
8111104
Subset
IM
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