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SMURF1 Amplification Promotes Invasiveness in Pancreatic Cancer

Overview of attention for article published in PLOS ONE, August 2011
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Title
SMURF1 Amplification Promotes Invasiveness in Pancreatic Cancer
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0023924
Pubmed ID
Authors

Kevin A. Kwei, A. Hunter Shain, Ryan Bair, Kelli Montgomery, Collins A. Karikari, Matt van de Rijn, Manuel Hidalgo, Anirban Maitra, Murali D. Bashyam, Jonathan R. Pollack

Abstract

Pancreatic cancer is a deadly disease, and new therapeutic targets are urgently needed. We previously identified DNA amplification at 7q21-q22 in pancreatic cancer cell lines. Now, by high-resolution genomic profiling of human pancreatic cancer cell lines and human tumors (engrafted in immunodeficient mice to enrich the cancer epithelial fraction), we define a 325 Kb minimal amplicon spanning SMURF1, an E3 ubiquitin ligase and known negative regulator of transforming growth factor β (TGFβ) growth inhibitory signaling. SMURF1 amplification was confirmed in primary human pancreatic cancers by fluorescence in situ hybridization (FISH), where 4 of 95 cases (4.2%) exhibited amplification. By RNA interference (RNAi), knockdown of SMURF1 in a human pancreatic cancer line with focal amplification (AsPC-1) did not alter cell growth, but led to reduced cell invasion and anchorage-independent growth. Interestingly, this effect was not mediated through altered TGFβ signaling, assayed by transcriptional reporter. Finally, overexpression of SMURF1 (but not a catalytic mutant) led to loss of contact inhibition in NIH-3T3 mouse embryo fibroblast cells. Together, these findings identify SMURF1 as an amplified oncogene driving multiple tumorigenic phenotypes in pancreatic cancer, and provide a new druggable target for molecularly directed therapy.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
United States 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 8 23%
Student > Postgraduate 2 6%
Student > Master 2 6%
Other 1 3%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 31%
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 6 17%
Neuroscience 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 8 23%