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MicroRNA-155 expression is independently predictive of outcome in chordoma

Overview of attention for article published in Oncotarget, March 2015
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Article details
Title
MicroRNA-155 expression is independently predictive of outcome in chordoma
Published in
Oncotarget, March 2015
DOI 10.18632/oncotarget.3273
Pubmed ID
Authors
Abstract

Chordoma pathogenesis remains poorly understood. In this study, we aimed to evaluate the relationships between microRNA-155 (miR-155) expression and the clinicopathological features of chordoma patients, and to evaluate the functional role of miR-155 in chordoma. The miRNA expression profiles were analyzed using miRNA microarray assays. Regulatory activity of miR-155 was assessed using bioinformatic tools. miR-155 expression levels were validated by reverse transcription-polymerase chain reaction. The relationships between miR-155 expression and the clinicopathological features of chordoma patients were analyzed. Proliferative, migratory and invasive activities were assessed by MTT, wound healing, and Matrigel invasion assays, respectively. The miRNA microarray assay revealed miR-155 to be highly expressed and biologically active in chordoma. miR-155 expression in chordoma tissues was significantly elevated, and this expression correlated significantly with disease stage (p = 0.036) and the presence of metastasis (p = 0.035). miR-155 expression also correlated significantly with poor outcomes for chordoma patients (hazard ratio, 5.32; p = 0.045). Inhibition of miR-155 expression suppressed proliferation, and the migratory and invasive activities of chordoma cells. We have shown miR-155 expression to independently affect prognosis in chordoma. These results collectively indicate that miR-155 expression may serve not only as a prognostic marker, but also as a potential therapeutic target in chordoma.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 4 11%
Student > Master 3 8%
Other 1 3%
Other 2 5%
Unknown 13 34%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Biochemistry, Genetics and Molecular Biology 6 16%
Agricultural and Biological Sciences 4 11%
Neuroscience 3 8%
Immunology and Microbiology 2 5%
Other 1 3%
Unknown 13 34%
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 02 April 2015.
All research outputs
#20,267,098
of 22,797,621 outputs
Outputs from Oncotarget
#10,571
of 14,323 outputs
Outputs of similar age
#221,544
of 262,007 outputs
Outputs of similar age from Oncotarget
#368
of 505 outputs
Altmetric has tracked 22,797,621 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 14,323 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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