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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Five miRNAs considered as molecular targets for predicting neuroglioma
1Jiangsu Key Laboratory of Xenotransplantation, Nanjing Medical University, 140# Hanzhong Road, Nanjing, Jiangsu, 210029, China.
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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