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Article Open Access

Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme

  • Authors:
    • Sanu K. Shaji
    • Damu Sunilkumar
    • N. V. Mahalakshmi
    • Geetha B. Kumar
    • Bipin G. Nair
  • View Affiliations / Copyright

    Affiliations: School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala 690525, India
    Copyright: © Shaji et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1938-1948
    |
    Published online on: June 24, 2019
       https://doi.org/10.3892/ol.2019.10521
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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.
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Shaji SK, Sunilkumar D, Mahalakshmi NV, Kumar GB and Nair BG: Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme. Oncol Lett 18: 1938-1948, 2019.
APA
Shaji, S.K., Sunilkumar, D., Mahalakshmi, N.V., Kumar, G.B., & Nair, B.G. (2019). Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme. Oncology Letters, 18, 1938-1948. https://doi.org/10.3892/ol.2019.10521
MLA
Shaji, S. K., Sunilkumar, D., Mahalakshmi, N. V., Kumar, G. B., Nair, B. G."Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme". Oncology Letters 18.2 (2019): 1938-1948.
Chicago
Shaji, S. K., Sunilkumar, D., Mahalakshmi, N. V., Kumar, G. B., Nair, B. G."Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme". Oncology Letters 18, no. 2 (2019): 1938-1948. https://doi.org/10.3892/ol.2019.10521
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Spandidos Publications style
Shaji SK, Sunilkumar D, Mahalakshmi NV, Kumar GB and Nair BG: Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme. Oncol Lett 18: 1938-1948, 2019.
APA
Shaji, S.K., Sunilkumar, D., Mahalakshmi, N.V., Kumar, G.B., & Nair, B.G. (2019). Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme. Oncology Letters, 18, 1938-1948. https://doi.org/10.3892/ol.2019.10521
MLA
Shaji, S. K., Sunilkumar, D., Mahalakshmi, N. V., Kumar, G. B., Nair, B. G."Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme". Oncology Letters 18.2 (2019): 1938-1948.
Chicago
Shaji, S. K., Sunilkumar, D., Mahalakshmi, N. V., Kumar, G. B., Nair, B. G."Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme". Oncology Letters 18, no. 2 (2019): 1938-1948. https://doi.org/10.3892/ol.2019.10521
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