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MiR-335 inhibits migration of breast cancer cells through targeting oncoprotein c-Met

Overview of attention for article published in Tumor Biology, December 2014
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Title
MiR-335 inhibits migration of breast cancer cells through targeting oncoprotein c-Met
Published in
Tumor Biology, December 2014
DOI 10.1007/s13277-014-2917-6
Pubmed ID
Authors

Yue Gao, Fan Zeng, Jia-Yan Wu, Hai-Yu Li, Jian-Jun Fan, Li Mai, Ji Zhang, Dong-Mei Ma, Yun Li, Fang-zhou Song

Abstract

Metastasis is the leading cause of death in patients with breast cancer and aberrantly expressed microRNAs (miRNAs) are highly associated with this process. A previous study has shown that miR-335 is downregulated in breast cancer and can suppress tumor invasion and metastasis. Emerging evidences indicate that c-Met is implicated in cell scattering, migration, and invasion. However, little is known about the relationship between miR-335 expression and c-Met alteration in breast cancer. In the present study, we found that miR-335 expression was downregulated and c-Met protein expression was upregulated in two human breast cell lines. MiR-335 was found to negatively regulate c-Met protein level by directly targeting its 3' untranslated region (UTR). Forced expression of miR-335 decreased c-Met expression at protein levels and consequently diminished hepatocyte growth factor (HGF)-induced phosphorylation of c-Met and subsequently inhibited HGF promotion of breast cancer cell migration in a c-Met-dependent manner. MiR-335 expression was increased after 5-aza-2'-deoxycytidine (5-AZA-CdR) treatment, and 5-AZA-CdR treatment resulted in the same phenotype as the effect of miR-335 overexpression. Taken together, these results demonstrate that miR-335 suppresses breast cancer cell migration by negatively regulating the HGF/c-Met pathway.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 5 22%
Researcher 4 17%
Student > Bachelor 2 9%
Other 1 4%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Biochemistry, Genetics and Molecular Biology 7 30%
Neuroscience 2 9%
Medicine and Dentistry 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 5 22%
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 11 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#302,547
of 361,216 outputs
Outputs of similar age from Tumor Biology
#99
of 158 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.