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Transcriptional Silencing of the Wnt-Antagonist DKK1 by Promoter Methylation Is Associated with Enhanced Wnt Signaling in Advanced Multiple Myeloma

Overview of attention for article published in PLOS ONE, February 2012
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Title
Transcriptional Silencing of the Wnt-Antagonist DKK1 by Promoter Methylation Is Associated with Enhanced Wnt Signaling in Advanced Multiple Myeloma
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030359
Pubmed ID
Authors

Kinga A. Kocemba, Richard W. J. Groen, Harmen van Andel, Marie José Kersten, Karène Mahtouk, Marcel Spaargaren, Steven T. Pals

Abstract

The Wnt/β-catenin pathway plays a crucial role in the pathogenesis of various human cancers. In multiple myeloma (MM), aberrant auto-and/or paracrine activation of canonical Wnt signaling promotes proliferation and dissemination, while overexpression of the Wnt inhibitor Dickkopf1 (DKK1) by MM cells contributes to osteolytic bone disease by inhibiting osteoblast differentiation. Since DKK1 itself is a target of TCF/β-catenin mediated transcription, these findings suggest that DKK1 is part of a negative feedback loop in MM and may act as a tumor suppressor. In line with this hypothesis, we show here that DKK1 expression is low or undetectable in a subset of patients with advanced MM as well as in MM cell lines. This absence of DKK1 is correlated with enhanced Wnt pathway activation, evidenced by nuclear accumulation of β-catenin, which in turn can be antagonized by restoring DKK1 expression. Analysis of the DKK1 promoter revealed CpG island methylation in several MM cell lines as well as in MM cells from patients with advanced MM. Moreover, demethylation of the DKK1 promoter restores DKK1 expression, which results in inhibition of β-catenin/TCF-mediated gene transcription in MM lines. Taken together, our data identify aberrant methylation of the DKK1 promoter as a cause of DKK1 silencing in advanced stage MM, which may play an important role in the progression of MM by unleashing Wnt signaling.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Netherlands 1 2%
Turkey 1 2%
United States 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Researcher 6 13%
Student > Master 5 11%
Student > Bachelor 4 9%
Professor 4 9%
Other 9 20%
Unknown 8 17%
Readers by discipline Count As %
Medicine and Dentistry 16 35%
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 6 13%
Materials Science 2 4%
Computer Science 1 2%
Other 3 7%
Unknown 9 20%