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MiR-424 functions as a tumor suppressor in glioma cells and is down-regulated by DNA methylation

Overview of attention for article published in Journal of Neuro-Oncology, May 2017
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Title
MiR-424 functions as a tumor suppressor in glioma cells and is down-regulated by DNA methylation
Published in
Journal of Neuro-Oncology, May 2017
DOI 10.1007/s11060-017-2438-4
Pubmed ID
Authors

Chen Jin, Minhong Li, Yian Ouyang, Zhigang Tan, Yugang Jiang

Abstract

Glioma is one of the most lethal malignancies, and increasing reports revealed that microRNAs (miRNAs), a class of small non-coding RNAs, play a critical role in the development and pathology of human gliomas. MiR-424 has been found to be dysregulated in many different types of human cancers. However, the clinical significance and function of miR-424 in glioma remains unclear. Here, based on RTq-PCR analysis in 148 clinical specimens, we found miR-424 expression was significantly decreased in glioma tumor tissues than in adjacent non-neoplastic brain tissues, and decreased miR-424 expression was associated with glioma KPS (P = 0.009) and high grades (P = 0.029). In vitro cellular function assays further revealed that miR-424 inhibited cell invasion and migration, and promoted cell apoptosis. In addition, based on DNA methylation analysis on clinical specimens and cell lines, we found miR-424 promoter CpG island was frequently methylated and correlated with glioma high grades (P = 0.035) and IDH mutation status (P = 0.042). Moreover, the promoter CpG island was demethylated by 5-aza-2'-deoxycytidine treatment in a time-dependent manner and the expression levels of miR-424 were gradually induced and increased. Taken together, our data suggest that the promoter region CpG island methylation is associated with tumor suppressive miR-424 silencing and the pathology of human gliomas.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Student > Master 7 25%
Other 2 7%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 5 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 46%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Computer Science 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 8 29%
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 17 May 2017.
All research outputs
#18,547,867
of 22,971,207 outputs
Outputs from Journal of Neuro-Oncology
#2,261
of 2,985 outputs
Outputs of similar age
#236,370
of 309,986 outputs
Outputs of similar age from Journal of Neuro-Oncology
#54
of 98 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,985 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 13th percentile – i.e., 13% 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 309,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.