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Pathomimetic avatars reveal divergent roles of microenvironment in invasive transition of ductal carcinoma in situ

Overview of attention for article published in Breast Cancer Research, May 2017
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Title
Pathomimetic avatars reveal divergent roles of microenvironment in invasive transition of ductal carcinoma in situ
Published in
Breast Cancer Research, May 2017
DOI 10.1186/s13058-017-0847-0
Pubmed ID
Authors

Mansoureh Sameni, Dora Cavallo-Medved, Omar E. Franco, Anita Chalasani, Kyungmin Ji, Neha Aggarwal, Arulselvi Anbalagan, Xuequn Chen, Raymond R. Mattingly, Simon W. Hayward, Bonnie F. Sloane

Abstract

The breast tumor microenvironment regulates progression of ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC). However, it is unclear how interactions between breast epithelial and stromal cells can drive this progression and whether there are reliable microenvironmental biomarkers to predict transition of DCIS to IDC. We used xenograft mouse models and a 3D pathomimetic model termed mammary architecture and microenvironment engineering (MAME) to study the interplay between human breast myoepithelial cells (MEPs) and cancer-associated fibroblasts (CAFs) on DCIS progression. Our results show that MEPs suppress tumor formation by DCIS cells in vivo even in the presence of CAFs. In the in vitro MAME model, MEPs reduce the size of 3D DCIS structures and their degradation of extracellular matrix. We further show that the tumor-suppressive effects of MEPs on DCIS are linked to inhibition of urokinase plasminogen activator (uPA)/urokinase plasminogen activator receptor (uPAR)-mediated proteolysis by plasminogen activator inhibitor 1 (PAI-1) and that they can lessen the tumor-promoting effects of CAFs by attenuating interleukin 6 (IL-6) signaling pathways. Our studies using MAME are, to our knowledge, the first to demonstrate a divergent interplay between MEPs and CAFs within the DCIS tumor microenvironment. We show that the tumor-suppressive actions of MEPs are mediated by PAI-1, uPA and its receptor, uPAR, and are sustained even in the presence of the CAFs, which themselves enhance DCIS tumorigenesis via IL-6 signaling. Identifying tumor microenvironmental regulators of DCIS progression will be critical for defining a robust and predictive molecular signature for clinical use.

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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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Student > Master 4 14%
Student > Bachelor 3 11%
Researcher 3 11%
Professor 2 7%
Other 3 11%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 18%
Medicine and Dentistry 5 18%
Engineering 4 14%
Agricultural and Biological Sciences 2 7%
Economics, Econometrics and Finance 1 4%
Other 3 11%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 June 2017.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from Breast Cancer Research
#1,481
of 2,054 outputs
Outputs of similar age
#197,173
of 324,838 outputs
Outputs of similar age from Breast Cancer Research
#21
of 27 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 25th percentile – i.e., 25% 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 324,838 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.