↓ Skip to main content

Met synergizes with p53 loss to induce mammary tumors that possess features of claudin-low breast cancer

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
2 Facebook pages

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
93 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Met synergizes with p53 loss to induce mammary tumors that possess features of claudin-low breast cancer
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2013
DOI 10.1073/pnas.1210353110
Pubmed ID
Authors

Jennifer F. Knight, Robert Lesurf, Hong Zhao, Dushanthi Pinnaduwage, Ryan R. Davis, Sadiq M. I. Saleh, Dongmei Zuo, Monica A. Naujokas, Naila Chughtai, Jason I. Herschkowitz, Aleix Prat, Anna Marie Mulligan, William J. Muller, Robert D. Cardiff, Jeff P. Gregg, Irene L. Andrulis, Michael T. Hallett, Morag Park

Abstract

Triple-negative breast cancer (TNBC) accounts for ∼20% of cases and contributes to basal and claudin-low molecular subclasses of the disease. TNBCs have poor prognosis, display frequent mutations in tumor suppressor gene p53 (TP53), and lack targeted therapies. The MET receptor tyrosine kinase is elevated in TNBC and transgenic Met models (Met(mt)) develop basal-like tumors. To investigate collaborating events in the genesis of TNBC, we generated Met(mt) mice with conditional loss of murine p53 (Trp53) in mammary epithelia. Somatic Trp53 loss, in combination with Met(mt), significantly increased tumor penetrance over Met(mt) or Trp53 loss alone. Unlike Met(mt) tumors, which are histologically diverse and enriched in a basal-like molecular signature, the majority of Met(mt) tumors with Trp53 loss displayed a spindloid pathology with a distinct molecular signature that resembles the human claudin-low subtype of TNBC, including diminished claudins, an epithelial-to-mesenchymal transition signature, and decreased expression of the microRNA-200 family. Moreover, although mammary specific loss of Trp53 promotes tumors with diverse pathologies, those with spindloid pathology and claudin-low signature display genomic Met amplification. In both models, MET activity is required for maintenance of the claudin-low morphological phenotype, in which MET inhibitors restore cell-cell junctions, rescue claudin 1 expression, and abrogate growth and dissemination of cells in vivo. Among human breast cancers, elevated levels of MET and stabilized TP53, indicative of mutation, correlate with highly proliferative TNBCs of poor outcome. This work shows synergy between MET and TP53 loss for claudin-low breast cancer, identifies a restricted claudin-low gene signature, and provides a rationale for anti-MET therapies in TNBC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Germany 1 1%
Japan 1 1%
Canada 1 1%
Unknown 87 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 31%
Student > Ph. D. Student 19 20%
Student > Master 10 11%
Student > Bachelor 5 5%
Student > Doctoral Student 4 4%
Other 16 17%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 42%
Biochemistry, Genetics and Molecular Biology 19 20%
Medicine and Dentistry 17 18%
Nursing and Health Professions 2 2%
Computer Science 1 1%
Other 4 4%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2015.
All research outputs
#13,813,106
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#86,094
of 101,438 outputs
Outputs of similar age
#114,645
of 220,468 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#752
of 1,028 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 220,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,028 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.