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MicroRNA-150 suppresses triple-negative breast cancer metastasis through targeting HMGA2

Overview of attention for article published in OncoTargets and therapy, April 2018
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Title
MicroRNA-150 suppresses triple-negative breast cancer metastasis through targeting HMGA2
Published in
OncoTargets and therapy, April 2018
DOI 10.2147/ott.s161996
Pubmed ID
Authors

Wentao Tang, Pingping Xu, Hong Wang, Zhengchuan Niu, Dexiang Zhu, Qi Lin, Liming Tang, Li Ren

Abstract

Growing evidence suggests that miR-150 plays an inhibitory role in various types of cancer. However, the function and underlying mechanisms of miR-150 in triple-negative breast cancer (TNBC) remain unknown. miR-150 expression was detected by qRT-PCR and ISH in TNBC tumor and adjacent normal breast tissues. miR-150 function was analyzed by wound healing and transwell assay in vitro and mouse lung metastasis model in vivo. mRNA microarray, qRT-PCR, western blotting and luciferase assay were used to identify the target gene of miR-150. HMGA2 over-expression plasmid was co-transfected with miR-150 to study the role of miR-150 through regulating HMGA2. We found that miR-150 was down-regulated in TNBC tumor tissues compared to corresponding adjacent, normal breast tissues, and was correlated with decreased lymph-node metastasis. Ectopic expression of miR-150 suppressed TNBC cell migration in vitro and metastasis in vivo. Mechanistic study revealed that miR-150 down-regulates HMGA2 by directly targeting its mRNA. Moreover, the suppression of cell migration caused by miR-150 is relieved by over-expression of HMGA2, suggesting that miR-150 inhibits migration of TNBC cells by down-regulating HMGA2. This work indicates that the miR-150/HMGA2 axis may serve as a treatment marker in TNBC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Student > Master 3 12%
Student > Postgraduate 2 8%
Researcher 2 8%
Professor 1 4%
Other 2 8%
Unknown 10 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 20%
Agricultural and Biological Sciences 3 12%
Immunology and Microbiology 2 8%
Medicine and Dentistry 2 8%
Computer Science 1 4%
Other 1 4%
Unknown 11 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 April 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#268,557
of 343,807 outputs
Outputs of similar age from OncoTargets and therapy
#63
of 104 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 31st percentile – i.e., 31% 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 343,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 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.