Publication
Title
Quantitative assessment of DNA hypermethylation in the inflammatory and non-inflammatory breast cancer phenotypes
Author
Abstract
In this study, a comparative quantitative methylation profiling of inflammatory breast cancer (IBC) and non-IBC was set up for the identification of tumor-specific methylation patterns. Methylation ratios of six genes measured in benign breast tissues (n=9) and in tumor samples from non-IBC (n=81) and IBC (n=19) patients using quantitative methylation-specific PCR. Median methylation ratios observed in breast cancer (n=100) were significantly higher than those observed in benign breast tissues for 5 of 6 genes (TWIST, HIN-1, RASSF1A, RARâ2 and APC). Only one of the individual genes studied, RARâ2, showed differential methylation ratios in IBC and non-IBC (P=0.016). Using the maximal methylation ratio observed in benign breast tissue as a threshold, the methylation frequency of two genes, RARâ2 and APC, was significantly increased in IBC (n=19) when compared to non-IBC (n=81): 53% vs. 23% for RARâ2 (P=0.012) and 84% vs. 54% for APC (P=0.017). Using hierarchical clustering, methylation patterns could not classify breast cancers according to their phenotype. The finding of differential frequencies of methylation in IBC and non-IBC for 2 out of 6 genes suggests that gene-specific patterns of methylation could provide a basis for molecular classification of IBC Testing for additional genes could help to define the IBC phenotype based on patterns of aberrant gene promoter methylation.
Language
English
Source (journal)
Cancer biology & therapy. - Place of publication unknown
Publication
Place of publication unknown : 2009
ISSN
1538-4047
Volume/pages
8:23(2009), p. 2252-2259
ISI
000272796800008
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 27.01.2010
Last edited 19.06.2017
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