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Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics

  • Authors:
    • Zu‑Cheng Xie
    • Jia‑Cheng Huang
    • Li‑Jie Zhang
    • Bin‑Liang Gan
    • Dong‑Yue Wen
    • Gang Chen
    • Sheng‑Hua Li
    • Hai‑Biao Yan

  • View Affiliations

  • Published online on: October 25, 2018     https://doi.org/10.3892/mmr.2018.9598
  • Pages: 5630-5646

  • Copyright: © Xie et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Prostate cancer (PCa) remains a principal issue to be addressed in male cancer‑associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)‑1 in PCa. A meta‑analysis was conducted to evaluate the diagnosis of miR‑1 in PCa via Gene Expression Omnibus and ArrayExpress datasets, The Cancer Genome Atlas miR‑1 expression data and published literature. It was identified that expression of miR‑1 was significantly downregulated in PCa. Decreased miR‑1 expression possessed moderate diagnostic value, with area under the curve, sensitivity, specificity and odds ratio values at 0.73, 0.77, 0.57 and 4.60, respectively. Using bioinformatics methods, it was revealed that a number of pathways, including the ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’, were important in PCa. A total of seven hub genes, including phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccinocarboxamide synthase (PAICS), cadherin 1 (CDH1), SRC proto‑oncogene, non‑receptor tyrosine kinase, twist family bHLH transcription factor 1 (TWIST1), ZW10 interacting kinetochore protein (ZWINT), PCNA clamp associated factor (KIAA0101) and androgen receptor, among which, five (PAICS, CDH1, TWIST1, ZWINT and KIAA0101) were significantly upregulated and negatively correlated with miR‑1, were identified as key miR‑1 target genes in PCa. Additionally, it was investigated whether miR‑1 and its hub genes were associated with clinical features, including age, tumor status, residual tumor, lymph node metastasis, pathological T stage and prostate specific antigen level. Collectively the results suggest that miR‑1 may be involved in the progression of PCa, and consequently be a promising diagnostic marker. The ‘androgen receptor signaling pathway’, ‘androgen receptor activity’, ‘transcription factor binding’ and ‘protein processing in the endoplasmic reticulum’ may be crucial interactive pathways in PCa. Furthermore, PAICS, CDH1, TWIST1, ZWINT and KIAA0101 may serve as crucial miR‑1 target genes in PCa.
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December-2018
Volume 18 Issue 6

Print ISSN: 1791-2997
Online ISSN:1791-3004

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  • Journal Metrics
  • Impact Factor: 3.4
  • Ranked Medicine Research and Experimental
    (total number of cites)
  • CiteScore: 6.9
  • CiteScore Rank: Q2: #98/328 Biochemistry, Genetics and Molecular Biology
  • Source Normalized Impact per Paper (SNIP): 0.721
  • SCImago Journal Rank (SJR): 0.65
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Spandidos Publications style
Xie ZC, Huang JC, Zhang LJ, Gan BL, Wen DY, Chen G, Li SH and Yan HB: Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics. Mol Med Rep 18: 5630-5646, 2018
APA
Xie, Z., Huang, J., Zhang, L., Gan, B., Wen, D., Chen, G. ... Yan, H. (2018). Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics. Molecular Medicine Reports, 18, 5630-5646. https://doi.org/10.3892/mmr.2018.9598
MLA
Xie, Z., Huang, J., Zhang, L., Gan, B., Wen, D., Chen, G., Li, S., Yan, H."Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics". Molecular Medicine Reports 18.6 (2018): 5630-5646.
Chicago
Xie, Z., Huang, J., Zhang, L., Gan, B., Wen, D., Chen, G., Li, S., Yan, H."Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics". Molecular Medicine Reports 18, no. 6 (2018): 5630-5646. https://doi.org/10.3892/mmr.2018.9598