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miR-126 and miR-126* repress recruitment of mesenchymal stem cells and inflammatory monocytes to inhibit breast cancer metastasis

Overview of attention for article published in Nature Cell Biology, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
10 tweeters
patent
1 patent
facebook
1 Facebook page

Citations

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240 Dimensions

Readers on

mendeley
211 Mendeley
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Title
miR-126 and miR-126* repress recruitment of mesenchymal stem cells and inflammatory monocytes to inhibit breast cancer metastasis
Published in
Nature Cell Biology, February 2013
DOI 10.1038/ncb2690
Pubmed ID
Authors

Yun Zhang, Pengyuan Yang, Tao Sun, Dong Li, Xin Xu, Yaocheng Rui, Chaoran Li, Mengyang Chong, Toni Ibrahim, Laura Mercatali, Dino Amadori, Xincheng Lu, Dong Xie, Qi-Jing Li, Xiao-Fan Wang

Abstract

The tumour stroma is an active participant during cancer progression. Stromal cells promote tumour progression and metastasis through multiple mechanisms including enhancing tumour invasiveness and angiogenesis, and suppressing immune surveillance. We report here that miR-126/miR-126(*), a microRNA pair derived from a single precursor, independently suppress the sequential recruitment of mesenchymal stem cells and inflammatory monocytes into the tumour stroma to inhibit lung metastasis by breast tumour cells in a mouse xenograft model. miR-126/miR-126(*) directly inhibit stromal cell-derived factor-1 alpha (SDF-1α) expression, and indirectly suppress the expression of chemokine (C-C motif) ligand 2 (Ccl2) by cancer cells in an SDF-1α-dependent manner. miR-126/miR-126(*) expression is downregulated in cancer cells by promoter methylation of their host gene Egfl7. These findings determine how this microRNA pair alters the composition of the primary tumour microenvironment to favour breast cancer metastasis, and demonstrate a correlation between miR-126/126(*) downregulation and poor metastasis-free survival of breast cancer patients.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Canada 1 <1%
France 1 <1%
Brazil 1 <1%
Belgium 1 <1%
China 1 <1%
Spain 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 200 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 30%
Researcher 50 24%
Student > Master 28 13%
Student > Bachelor 14 7%
Student > Doctoral Student 10 5%
Other 34 16%
Unknown 12 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 40%
Medicine and Dentistry 41 19%
Biochemistry, Genetics and Molecular Biology 40 19%
Chemistry 5 2%
Engineering 5 2%
Other 18 9%
Unknown 18 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 27 August 2019.
All research outputs
#2,053,712
of 15,720,079 outputs
Outputs from Nature Cell Biology
#1,047
of 3,329 outputs
Outputs of similar age
#32,739
of 253,768 outputs
Outputs of similar age from Nature Cell Biology
#16
of 54 outputs
Altmetric has tracked 15,720,079 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 253,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.