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miR-449a targets Flot2 and inhibits gastric cancer invasion by inhibiting TGF-β-mediated EMT

Overview of attention for article published in Diagnostic Pathology, November 2015
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Title
miR-449a targets Flot2 and inhibits gastric cancer invasion by inhibiting TGF-β-mediated EMT
Published in
Diagnostic Pathology, November 2015
DOI 10.1186/s13000-015-0435-5
Pubmed ID
Authors

Qian Li, Jie Peng, Xinhua Li, Aimin Leng, Ting Liu

Abstract

Flot2, a highly conserved protein of the SPFH domain containing proteins family, has recently been identified as oncogene to be involved in the tumorigenesis and metastasis of several cancers including gastric cancer. However, the underlying molecular mechanism of Flot2 in gastric cancer (GC) is largely unknown. qRT-PCR and western blot was performed to detect miR-449a and Flot2 expression in GC cell lines and Normal human gastric epithelial cells. Then, luciferase reporter assay was used to elucidate whether Flot2 is a target gene of miR-449a. Finally, the roles and mechanism of miR-449a in regulation of tumor invasion were further investigated. In this study, miR-449a expression was downregulated and Flot2 was upregulated in all GC cell lines as compared with that in GES-1. luciferase reporter assay identified Flot2 as a novel direct target of miR-449a. miR-449a regulated GC cell invasion by suppressing Flot2 expression. Expression analysis of a set of epithelial-mesenchymal transition (EMT) markers showed that miR-449a reduced the expression of mesenchymal markers (vimentin and N-cadherin) and induced the expression of epithelial marker (E-cadherin), which was consistent with silenced Flot2. Moreover, Flot2 is necessary for TGF-β-induced EMT in GC cells. Our results demonstrated that miR-449a suppressed Flot2 expression results in decreased cell invasion through repressing TGF-β-mediated-EMT, and provides a new theoretical basis to further investigate miR-449a-regulated Flot2 as a potential biomarker and a promising approach for GC treatment.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Doctoral Student 2 17%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Medicine and Dentistry 2 17%
Agricultural and Biological Sciences 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 3 25%

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 16 March 2016.
All research outputs
#5,599,302
of 7,401,456 outputs
Outputs from Diagnostic Pathology
#430
of 666 outputs
Outputs of similar age
#194,239
of 275,611 outputs
Outputs of similar age from Diagnostic Pathology
#19
of 22 outputs
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So far Altmetric has tracked 666 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.