Loss of ATM accelerates pancreatic cancer formation and epithelial-mesenchymal transition

2015 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Loss of ATM accelerates pancreatic cancer formation and epithelial-mesenchymal transition​
Russell, R.; Perkhofer, L.; Liebau, S.; Lin, Q.; Lechel, A.; Feld, F. M. & Hessmann, E.  et al.​ (2015) 
Nature Communications6 art. 7677​.​ DOI: https://doi.org/10.1038/ncomms8677 

Documents & Media

ncomms8677.pdf5.06 MBAdobe PDF

License

Published Version

Attribution 4.0 CC BY 4.0

Details

Authors
Russell, Ronan; Perkhofer, Lukas; Liebau, Stefan; Lin, Qiong; Lechel, Andre; Feld, Fenja M.; Hessmann, Elisabeth ; Gaedcke, Jochen; Guethle, Melanie; Zenke, Martin; Hartmann, Daniel; von Figura, Guido; Weissinger, Stephanie E.; Rudolph, K. Lenhard; Moeller, Peter; Lennerz, Jochen K.; Seufferlein, Thomas; Wagner, Martin; Kleger, Alexander
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is associated with accumulation of particular oncogenic mutations and recent genetic sequencing studies have identified ataxia telangiectasia-mutated (ATM) mutations in PDAC cohorts. Here we report that conditional deletion of ATM in a mouse model of PDAC induces a greater number of proliferative precursor lesions coupled with a pronounced fibrotic reaction. ATM-targeted mice display altered TGF beta-superfamily signalling and enhanced epithelial-to-mesenchymal transition (EMT) coupled with shortened survival. Notably, our mouse model recapitulates many features of more aggressive human PDAC subtypes. Particularly, we report that low expression of ATM predicts EMT, a gene signature specific for Bmp4 signalling and poor prognosis in human PDAC. Our data suggest an intimate link between ATM expression and pancreatic cancer progression in mice and men.
Issue Date
2015
Status
published
Publisher
Nature Publishing Group
Journal
Nature Communications 
ISSN
2041-1723

Reference

Citations


Social Media