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Five miRNAs considered as molecular targets for predicting neuroglioma

Overview of attention for article published in Tumor Biology, August 2015
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Title
Five miRNAs considered as molecular targets for predicting neuroglioma
Published in
Tumor Biology, August 2015
DOI 10.1007/s13277-015-3898-9
Pubmed ID
Authors

Haiyuan Yang, Ying Wang

Abstract

Neuroglioma is a complex neuroglial tumor involving dysregulation of many biological pathways at multiple levels. Here, we aim to screen differentially expressed miRNAs (DEMs) as well as the functions and pathways of their target genes in neuroglioma. miRNA high-throughput sequencing data were downloaded from The Cancer Genome Atlas (TCGA), and then the DEMs were subjected to perform principal component analysis (PCA) based on their expression values. Following that, Targetscan software was used to predict the target genes, and enrichment analysis and pathway annotation of these target genes were done by DAVID and KEGG, respectively. Finally, survival analysis between the DEMs and patients' survival time was done, and the miRNAs with prediction potential were obtained. A total of 33 DEMs were obtained, among which 25 miRNAs were upregulated including hsa-mir-675, hsa-mir-196a-1, and hsa-mir-196a-2, while eight miRNAs were downregulated including hsa-mir-1911, hsa-mir-1264, and hsa-mir-1298. Five miRNAs with diagnostic and preventive potentials were significantly correlated with survival time, including has-mir-155, has-mir-199b, has-mi-10a, has-mir-1274b, and has-mir-455. The target genes of miRNA identified in this study played important roles in tumor signaling pathways, and their detailed functions could be further studied so as to explore novel neuroglioma therapies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Russia 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Other 3 17%
Student > Bachelor 3 17%
Researcher 3 17%
Student > Master 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 4 22%
Nursing and Health Professions 2 11%
Agricultural and Biological Sciences 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 2 11%
Unknown 3 17%
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 14 August 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#221,650
of 264,379 outputs
Outputs of similar age from Tumor Biology
#123
of 182 outputs
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