↓ Skip to main content

Identification of microRNA signature in different pediatric brain tumors

Overview of attention for article published in Genetics and Molecular Biology, March 2018
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of microRNA signature in different pediatric brain tumors
Published in
Genetics and Molecular Biology, March 2018
DOI 10.1590/1678-4685-gmb-2016-0334
Pubmed ID
Authors

Marwa Tantawy, Mariam G. Elzayat, Dina Yehia, Hala Taha

Abstract

Understanding pediatric brain tumor biology is essential to help on disease stratification, and to find novel markers for early diagnosis. MicroRNA (miRNA) expression has been linked to clinical outcomes and tumor biology. Here, we aimed to detect the expression of different miRNAs in different pediatric brain tumor subtypes to discover biomarkers for early detection and develop novel therapies. Expression of 82 miRNAs was detected in 120 pediatric brain tumors from fixed-formalin paraffin-embedded tissues, low-grade glioma, high-grade glioma, ependymoma, and medulloblastoma, using quantitative real-time PCR. Low-expression of miR-221, miR-9, and miR-181c/d and over-expression of miR-101, miR-222, miR-139, miR-1827, and miR-34c was found in medulloblastoma; low expression of miR-10a and over-expression of miR-10b and miR-29a in ependymoma; low expression of miR-26a and overexpression of miR-19a/b, miR-24, miR-27a, miR- 584, and miR-527 in low-grade glioma. Cox regression showed differential miRNA expression between responders and non-responders. The most specific were miR-10a and miR-29a low expression in LGG non-responders, miR-135a and miR-146b over-expression in ependymoma non-responders, and miR-135b overexpression in medulloblastoma non-responders. MicroRNAs are differentially expressed in subtypes of brain tumors suggesting that they may help diagnosis. A greater understanding of aberrant miRNA in pediatric brain tumors may support development of novel therapies.

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 6 18%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Computer Science 1 3%
Other 1 3%
Unknown 11 32%

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 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Genetics and Molecular Biology
#359
of 712 outputs
Outputs of similar age
#210,854
of 330,403 outputs
Outputs of similar age from Genetics and Molecular Biology
#8
of 15 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 712 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 34th percentile – i.e., 34% 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 330,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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.