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Identification of microRNA signature in different pediatric brain tumors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 7 18%
Student > Bachelor 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 9 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 2 5%
Other 3 8%
Unknown 13 33%
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 April 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#408
of 772 outputs
Outputs of similar age
#222,923
of 345,388 outputs
Outputs of similar age from Genetics and Molecular Biology
#7
of 14 outputs
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.