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PMID: 15781628 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Gene expression profiling identifies molecular subtypes of inflammatory breast cancer.

Cancer research ·Vol. 65 ·No. 6 ·2005-03-15 ·Pages 2170-8

Bertucci F, Finetti P, Rougemont J, Charafe-Jauffret E, Cervera N, Tarpin C, Nguyen C, Xerri L, Houlgatte R, Jacquemier J, Viens P, Birnbaum D

Abstract

Breast cancer is a heterogeneous disease. Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with survival. Inflammatory breast cancer (IBC) is a rare, particular, and aggressive form of disease. Here we have investigated whether the five molecular subtypes described for NIBC (luminal A and B, basal, ERBB2 overexpressing, and normal breast-like) were also present in IBC. We monitored the RNA expression of approximately 8,000 genes in 83 breast tissue samples including 37 IBC, 44 NIBC, and 2 normal breast samples. Hierarchical clustering identified the five subtypes of breast cancer in both NIBC and IBC samples. These subtypes were highly similar to those defined in previous studies and associated with similar histoclinical features. The robustness of this classification was confirmed by the use of both alternative gene set and analysis method, and the results were corroborated at the protein level. Furthermore, we show that the differences in gene expression between NIBC and IBC and between IBC with and without pathologic complete response that we have recently reported persist in each subtype. Our results show that the expression signatures defining molecular subtypes of NIBC are also present in IBC. Obtained using different patient series and different microarray platforms, they reinforce confidence in the expression-based molecular taxonomy but also give evidence for its universality in breast cancer, independently of a specific clinical form.

MeSH Terms
Adenocarcinoma/classification,genetics,metabolism,pathology Adult Aged Aged, 80 and over Breast Neoplasms/classification,genetics,metabolism,pathology Female Gene Expression Profiling Humans Middle Aged Polymerase Chain Reaction
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Bertucci François
Institut de Cancérologie de Marseille, Laboratoire d'Oncologie Moléculaire, Institut Paoli-Calmettes and UMR599 Institut National de la Santé et de la Recherche Médicale, IFR137, France.
Finetti Pascal
Rougemont Jacques
Charafe-Jauffret Emmanuelle
Cervera Nathalie
Tarpin Carole
Nguyen Catherine
Xerri Luc
Houlgatte Rémi
Jacquemier Jocelyne
Viens Patrice
Birnbaum Daniel
Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
0008-5472
Published
2005-03-15
Pages
2170-8
Language
English
Region
United States
NLM ID
2984705R
Subset
IM
Grants
NCI NIH HHS · P50 CA058223 · United States
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