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Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network

  • Authors:
    • Guomei Ye
    • Liqiang Guo
    • Yanfei Xing
    • Wendong Sun
    • Mingzhen Yuan
  • View Affiliations / Copyright

    Affiliations: Department of Urology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
    Copyright: © Ye et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3035-3040
    |
    Published online on: February 14, 2019
       https://doi.org/10.3892/etm.2019.7277
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Abstract

Prostate cancer (PCa) is the second most frequently diagnosed male cancer, and no treatments exist for effective inhibition of metastatic spread of PCa. Long non-coding RNA (lncRNA) plays key roles in pathogenesis and development of various cancers through competing with endogenous RNAs (ceRNAs), but at present research on lncRNA functions in PCa is still very limited. Hence, this aspect was investigated using bioinformatics methods. Firstly, the functional lncRNA-mediated ceRNA network associated with PCa was constructed by the multi-step computational approach. Then the cytoscape software was used to analyze the node degree and betweenness centrality (BC) value of lncRNAs and mRNAs in the interaction. Finally, the lncRNAs were screened in the central region of the network by the node degree and BC value, and the functional enrichment of mRNAs was evaluated with the Gene Ontology (GO) database. In our results, LINC00476, MALAT1, SNHG11, LINC00649, and ILF3-AS1 are the lncRNAs which have the most nodes and higher BC values and considered as prognostic markers in PCa. GO analysis suggested that the function of screened lncRNAs was obviously focused on intracellular receptor signaling pathway, which indicated these lncRNAs might be potential biomarkers for diagnosis, evaluation and gene-targeted therapy of PCa.
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Copy and paste a formatted citation
Spandidos Publications style
Ye G, Guo L, Xing Y, Sun W and Yuan M: Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network. Exp Ther Med 17: 3035-3040, 2019.
APA
Ye, G., Guo, L., Xing, Y., Sun, W., & Yuan, M. (2019). Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network. Experimental and Therapeutic Medicine, 17, 3035-3040. https://doi.org/10.3892/etm.2019.7277
MLA
Ye, G., Guo, L., Xing, Y., Sun, W., Yuan, M."Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network". Experimental and Therapeutic Medicine 17.4 (2019): 3035-3040.
Chicago
Ye, G., Guo, L., Xing, Y., Sun, W., Yuan, M."Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network". Experimental and Therapeutic Medicine 17, no. 4 (2019): 3035-3040. https://doi.org/10.3892/etm.2019.7277
Copy and paste a formatted citation
x
Spandidos Publications style
Ye G, Guo L, Xing Y, Sun W and Yuan M: Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network. Exp Ther Med 17: 3035-3040, 2019.
APA
Ye, G., Guo, L., Xing, Y., Sun, W., & Yuan, M. (2019). Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network. Experimental and Therapeutic Medicine, 17, 3035-3040. https://doi.org/10.3892/etm.2019.7277
MLA
Ye, G., Guo, L., Xing, Y., Sun, W., Yuan, M."Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network". Experimental and Therapeutic Medicine 17.4 (2019): 3035-3040.
Chicago
Ye, G., Guo, L., Xing, Y., Sun, W., Yuan, M."Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network". Experimental and Therapeutic Medicine 17, no. 4 (2019): 3035-3040. https://doi.org/10.3892/etm.2019.7277
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