Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/178081
Title: A DNA methylation-based definition of biologically distinct breast cancer subtypes
Author: Stefansson, Olafur A.
Moran, Sebastian
Gómez, Antonio
Sayols, Sergi
Arribas, Carles
Sandoval, Juan
Hilmarsdottir, Holmfridur
Olafsdottir, Elinborg
Tryggvadottir, Laufey
Jonasson, Jon G.
Eyfjord, Jorunn E.
Esteller, Manel
Keywords: Càncer de mama
Genètica
ADN
Metilació
Breast cancer
Genetics
DNA
Methylation
Issue Date: 1-Mar-2015
Publisher: Elsevier
Abstract: In cancer, epigenetic states are deregulated and thought to be of significance in cancer development and progression. We explored DNA methylation-based signatures in association with breast cancer subtypes to assess their impact on clinical presentation and patient prognosis. DNA methylation was analyzed using Infinium 450K arrays in 40 tumors and 17 normal breast samples, together with DNA copy number changes and subtype-specific markers by tissue microarrays. The identified methylation signatures were validated against a cohort of 212 tumors annotated for breast cancer subtypes by the PAM50 method (The Cancer Genome Atlas). Selected markers were pyrosequenced in an independent validation cohort of 310 tumors and analyzed with respect to survival, clinical stage and grade. The results demonstrate that DNA methylation patterns linked to the luminal-B subtype are characterized by CpG island promoter methylation events. In contrast, a large fraction of basal-like tumors are characterized by hypomethylation events occurring within the gene body. Based on these hallmark signatures, we defined two DNA methylation-based subtypes, Epi-LumB and Epi-Basal, and show that they are associated with unfavorable clinical parameters and reduced survival. Our data show that distinct mechanisms leading to changes in CpG methylation states are operative in different breast cancer subtypes. Importantly, we show that a few selected proxy markers can be used to detect the distinct DNA methylation-based subtypes thereby providing valuable information on disease prognosis.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.molonc.2014.10.012
It is part of: Molecular Oncology, 2015, vol. 9, num. 3, p. 555-568
URI: http://hdl.handle.net/2445/178081
Related resource: https://doi.org/10.1016/j.molonc.2014.10.012
ISSN: 1574-7891
Appears in Collections:Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))
Articles publicats en revistes (Ciències Fisiològiques)

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