High-resolution genomic profiling reveals association of chromosomal aberrations on 1q and 16p with histologic and genetic subgroups of invasive breast cancer.

Daniel E Stange, Bernhard Radlwimmer, Falk Schubert, Frank Traub, Andreas Pich, Grischa Toedt, Frank Mendrzyk, Ulrich Lehmann, Roland Eils, Hans Kreipe, Peter Lichter

Division of Molecular Genetics, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany.

Journal Article: Clinical Cancer Research (impact factor: 6.75). 02/2006; 12(2):345-52. DOI: 10.1158/1078-0432.CCR-05-1633

Abstract

PURPOSE: Invasive ductal carcinoma and invasive lobular carcinoma (ILC) represent the major histologic subtypes of invasive breast cancer. They differ with regard to presentation, metastatic spread, and epidemiologic features. To elucidate the genetic basis of these differences, we analyzed copy number imbalances that differentiate the histologic subtypes.EXPERIMENTAL DESIGN: High-resolution genomic profiling of 40 invasive breast cancers using matrix-comparative genomic hybridization with an average resolution of 0.5 Mb was conducted on bacterial artificial chromosome microarrays. The data were subjected to classification and unsupervised hierarchical cluster analyses. Expression of candidate genes was analyzed in tumor samples.RESULTS: The highest discriminating power was achieved when combining the aberration patterns of chromosome arms 1q and 16p, which were significantly more often gained in ILC. These regions were further narrowed down to subregions 1q24.2-25.1, 1q25.3-q31.3, and 16p11.2. Located within the candidate gains on 1q are two genes, FMO2 and PTGS2, known to be overexpressed in ILC relative to invasive ductal carcinoma. Assessment of four candidate genes on 16p11.2 by real-time quantitative PCR revealed significant overexpression of FUS and ITGAX in ILC with 16p copy number gain. Unsupervised hierarchical cluster analysis identified three molecular subgroups that are characterized by different aberration patterns, in particular concerning gain of MYC (8q24) and the identified candidate regions on 1q24.2-25.1, 1q25.3-q31.3, and 16p11.2. These genetic subgroups differed with regard to histology, tumor grading, frequency of alterations, and estrogen receptor expression.CONCLUSIONS: Molecular profiling using bacterial artificial chromosome arrays identified DNA copy number imbalances on 1q and 16p as significant classifiers of histologic and molecular subgroups.

Source: PubMed

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Keywords

16p copy number gain
 
40 invasive breast cancers
 
bacterial artificial chromosome microarrays
 
candidate genes
 
chromosome arms 1q
 
different aberration patterns
 
DNA copy number imbalances
 
estrogen receptor expression.CONCLUSIONS
 
High-resolution genomic profiling
 
histologic subtypes.EXPERIMENTAL DESIGN
 
identified candidate regions
 
invasive breast cancer
 
invasive ductal carcinoma
 
invasive lobular carcinoma
 
major histologic subtypes
 
matrix-comparative genomic hybridization
 
Molecular profiling
 
real-time quantitative PCR
 
significant overexpression
 
tumor grading