Title |
Loss of ATM accelerates pancreatic cancer formation and epithelial–mesenchymal transition
|
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Published in |
Nature Communications, July 2015
|
DOI | 10.1038/ncomms8677 |
Pubmed ID | |
Authors |
Ronan Russell, Lukas Perkhofer, Stefan Liebau, Qiong Lin, André Lechel, Fenja M Feld, Elisabeth Hessmann, Jochen Gaedcke, Melanie Güthle, Martin Zenke, Daniel Hartmann, Guido von Figura, Stephanie E Weissinger, Karl-Lenhard Rudolph, Peter Möller, Jochen K Lennerz, Thomas Seufferlein, Martin Wagner, Alexander Kleger |
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 TGFβ-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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
China | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
France | 1 | <1% |
Unknown | 124 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 20% |
Researcher | 19 | 15% |
Student > Master | 16 | 13% |
Student > Bachelor | 13 | 10% |
Other | 8 | 6% |
Other | 16 | 13% |
Unknown | 30 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 33 | 26% |
Medicine and Dentistry | 23 | 18% |
Agricultural and Biological Sciences | 19 | 15% |
Immunology and Microbiology | 4 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 11 | 9% |
Unknown | 35 | 28% |