Open Access

An integrated bioinformatical analysis of miR‑19a target genes in multiple myeloma

  • Authors:
    • Hongyan Lv
    • Xianda Wu
    • Guiru Ma
    • Lixia Sun
    • Jianbo Meng
    • Xiaoning Song
    • Jinqiao Zhang
  • View Affiliations

  • Published online on: September 21, 2017     https://doi.org/10.3892/etm.2017.5173
  • Pages: 4711-4720
  • Copyright: © Lv et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

MicroRNA (miR)‑19a, as an oncomiR, has been studied in several types of cancer; however, its role in the development and progression of multiple myeloma (MM) remains unclear. The present study used a bioinformatics approach to investigate the involvement of miR‑19a in MM. miR‑19a targets were predicted using target prediction programs, followed by screening for differentially expressed genes in MM. The function of these genes was then annotated using gene ontology term enrichment, signaling pathway enrichment and protein‑protein interaction (PPI) analysis. In addition, natural language processing (NLP) was performed to identify genes associated with MM. A total of 715 putative targets of miR‑19a were identified in the present study, of which 40 were experimentally validated. A total of 121 genes were identified to be differentially expressed in MM, including 80 upregulated genes and 41 downregulated genes. Among the differentially expressed genes, ras homolog family member B, clathrin heavy chain, prosaposin and protein phosphatase 6 regulatory subunit 2 were predicted target genes of miR‑19a. The results of NLP revealed that 2 of the differentially expressed genes, Y‑box binding protein 1 and TP53 regulated inhibitor of apoptosis 1, were reported to be associated with MM. In addition, 41 target genes of miR‑19a were identified to be associated with the development and progression of MM. These results may aid in understanding the molecular mechanisms of miR‑19a in the development and progression of MM. In addition, the results of the present study indicate that targets genes of miR‑19a are potential candidate biomarkers for MM.
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November-2017
Volume 14 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Lv H, Wu X, Ma G, Sun L, Meng J, Song X and Zhang J: An integrated bioinformatical analysis of miR‑19a target genes in multiple myeloma. Exp Ther Med 14: 4711-4720, 2017
APA
Lv, H., Wu, X., Ma, G., Sun, L., Meng, J., Song, X., & Zhang, J. (2017). An integrated bioinformatical analysis of miR‑19a target genes in multiple myeloma. Experimental and Therapeutic Medicine, 14, 4711-4720. https://doi.org/10.3892/etm.2017.5173
MLA
Lv, H., Wu, X., Ma, G., Sun, L., Meng, J., Song, X., Zhang, J."An integrated bioinformatical analysis of miR‑19a target genes in multiple myeloma". Experimental and Therapeutic Medicine 14.5 (2017): 4711-4720.
Chicago
Lv, H., Wu, X., Ma, G., Sun, L., Meng, J., Song, X., Zhang, J."An integrated bioinformatical analysis of miR‑19a target genes in multiple myeloma". Experimental and Therapeutic Medicine 14, no. 5 (2017): 4711-4720. https://doi.org/10.3892/etm.2017.5173