Open Access

Potential clinical value and putative biological function of miR‑122‑5p in hepatocellular carcinoma: A comprehensive study using microarray and RNA sequencing data

  • Authors:
    • Dong‑Yue Wen
    • Jia‑Cheng Huang
    • Jie‑Yu Wang
    • Wen‑Ya Pan
    • Jiang‑Hui Zeng
    • Yu‑Yan Pang
    • Hong Yang
  • View Affiliations

  • Published online on: September 28, 2018     https://doi.org/10.3892/ol.2018.9523
  • Pages: 6918-6929
  • Copyright: © Wen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

In order to determine the diagnostic efficacy of microRNA (miR)-122-5p and to identify the potential molecular signaling pathways underlying the function of miR‑122‑5p in hepatocellular carcinoma (HCC), the expression profiles of data collected from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and literature databases were analyzed, along with any associations between clinicopathological characteristics and the diagnostic value of miR‑122‑5p in HCC. The intersection of 12 online prediction databases and differentially expressed genes from TCGA and GEO were utilized in order to select the prospective target genes of miR‑122‑5p in HCC. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein‑protein interaction network (PPI) analyses were subsequently performed based on the selected target genes. The average expression level of miR‑122‑5p was decreased in HCC patients compared with controls from TCGA database (P<0.001), and the downregulation of miR‑122‑5p was significantly associated with HCC tissues (P<0.001), tumor vascular invasion (P<0.001), metastasis (P=0.001), sex (P=0.006), virus infection status (P=0.001) and tissue (compared with serum; P<0.001) in cases from the GEO database. The pooled sensitivity and specificity for miR‑122‑5p to diagnose HCC were 0.60 [95% confidence interval (CI), 0.48‑0.71] and 0.81 (95% CI, 0.70‑0.89), respectively. The area under the curve (AUC) value was 0.76 (95% CI, 0.72‑0.80), while in Meta‑DiSc 1.4, the AUC was 0.76 (Q*=0.70). The pooled sensitivity and specificity were 0.60 (95% CI, 0.57‑0.62) and 0.79 (95% CI, 0.76‑0.81), respectively. A total of 198 overlapping genes were selected as the potential target genes of miR‑122‑5p, and 7 genes were defined as the hub genes from the PPI network. Cell division cycle 6 (CDC6), minichromosome maintenance complex component 4 (MCM4) and MCM8, which serve pivotal functions in the occurrence and development of HCC, were the most significant hub genes. The regulation of cell proliferation for cellular adhesion and the biosynthesis of amino acids was highlighted in the GO and KEGG pathway analyses. The downregulation of miR‑122‑5p in HCC demonstrated diagnostic value, worthy of further attention. Therefore, miR‑122‑5p may function as a tumor suppressor by modulating genome replication.
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December-2018
Volume 16 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Wen DY, Huang JC, Wang JY, Pan WY, Zeng JH, Pang YY and Yang H: Potential clinical value and putative biological function of miR‑122‑5p in hepatocellular carcinoma: A comprehensive study using microarray and RNA sequencing data. Oncol Lett 16: 6918-6929, 2018
APA
Wen, D., Huang, J., Wang, J., Pan, W., Zeng, J., Pang, Y., & Yang, H. (2018). Potential clinical value and putative biological function of miR‑122‑5p in hepatocellular carcinoma: A comprehensive study using microarray and RNA sequencing data. Oncology Letters, 16, 6918-6929. https://doi.org/10.3892/ol.2018.9523
MLA
Wen, D., Huang, J., Wang, J., Pan, W., Zeng, J., Pang, Y., Yang, H."Potential clinical value and putative biological function of miR‑122‑5p in hepatocellular carcinoma: A comprehensive study using microarray and RNA sequencing data". Oncology Letters 16.6 (2018): 6918-6929.
Chicago
Wen, D., Huang, J., Wang, J., Pan, W., Zeng, J., Pang, Y., Yang, H."Potential clinical value and putative biological function of miR‑122‑5p in hepatocellular carcinoma: A comprehensive study using microarray and RNA sequencing data". Oncology Letters 16, no. 6 (2018): 6918-6929. https://doi.org/10.3892/ol.2018.9523