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Analysis of Microarray Data for Identification of key MicroRNA signatures in Glioblastoma Multiforme

Publication Type : Journal Article

Thematic Areas : Biotech

Publisher : Oncology Letters

Source : Oncology Letters, Volume 18, Issue 2, p.1938–1948 (2019)

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Keywords : gene expression omnibus, GEO2R, Glioblastoma multiforme, microRNA, Pathway Analysis

Campus : Amritapuri

School : School of Biotechnology

Center : Cell Biology

Department : biotechnology

Verified : Yes

Year : 2019

Abstract : Glioblastoma multiforme (GBM) is one of the most malignant types of glioma known for its reduced survival rate and rapid relapse. Previous studies have shown that the expression patterns of different microRNAs (miRNA/miR) play a crucial role in the development and progression of GBM. In order to identify potential miRNA signatures of GBM for prognostic and therapeutic purposes, we downloaded and analyzed two expression data sets from Gene Expression Omnibus profiling miRNA patterns of GBM compared with normal brain tissues. Validated targets of the deregulated miRNAs were identified using MirTarBase, and were mapped to Search Tool for the Retrieval of Interacting Genes/Proteins, Database for Annotation, Visualization and Integrated Discovery and Kyoto Encyclopedia of Genes and Genomes databases in order to construct interaction networks and identify enriched pathways of target genes. A total of 6 miRNAs were found to be deregulated in both expression datasets studied. Pathway analysis demonstrated that most of the target genes were enriched in signaling cascades connected to cancer development, such as 'Pathways in cancer', 'Focal adhesion' and 'PI3K-Akt signaling pathway'. Of the five target genes that were enriched in the glioblastoma pathway, in the WikiPathway database, both HRas proto-oncogene, GTPase and MET proto-oncogene, receptor tyrosine kinase target genes of hsa-miR-139-5p, were found to be significantly associated with patient survival. The present study may thus form the basis for further exploration of hsa-miR-139-5p, not only as a therapeutic agent, but also as a diagnostic biomarker for GBM as well as a predictive marker for patient survival.

Cite this Research Publication : Sanu K. Shaji, Damu Sunilkumar, Mahalakshmi N. V., Geetha B. Kumar, and Dr. Bipin G. Nair, “Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme”, Oncol Lett, vol. 18, no. 2, pp. 1938-1948, 2019.

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