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Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling

  • Authors:
    • Cheng Yajun
    • Tang Yuan
    • Wang Zhong
    • Xu Bin
  • View Affiliations / Copyright

    Affiliations: Department of Urology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, P.R. China, Department of Gastrointestinal Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, P.R. China
    Copyright: © Yajun et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
  • Pages: 761-768
    |
    Published online on: November 14, 2017
       https://doi.org/10.3892/etm.2017.5510
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Abstract

The present study aimed to identify potential genes associated with prostate cancer (PCa) recurrence following radical prostatectomy (RP) in order to improve the prediction of the prognosis of patients with PCa. The GSE25136 microarray dataset, including 39 recurrent and 40 non‑recurrent PCa samples, was downloaded from the Gene Expression Omnibus database. Differentially‑expressed genes (DEGs) were identified using limma packages, and the pheatmap package was used to present the DEGs screened using a hierarchical cluster analysis. Furthermore, gene ontology functional enrichment analysis was used to predict the potential functions of the DEGs. Subsequently, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to analyze pathway enrichment of DEGs in the regulatory network. Lastly, a protein‑protein interaction (PPI) network of the DEGs was constructed using Cytoscape software to understand the interactions between these DEGs. A total of 708 DEGs were identified in the recurrent and non‑recurrent PCa samples. Functional annotation revealed that these DEGs were primarily involved in cell adhesion, negative regulation of growth, and the cyclic adenosine monophosphate and mitogen‑activated protein kinase (MAPK) signaling pathways. Furthermore, five key genes, including cluster of differentiation 22, insulin‑like growth factor‑1, inhibin β A subunit, MAPK kinase 5 and receptor tyrosine kinase like orphan receptor 1, were identified through PPI network analysis. The results of the present study have provided novel ideas for predicting the prognosis of patients with PCa following RP.
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Copy and paste a formatted citation
Spandidos Publications style
Yajun C, Yuan T, Zhong W and Bin X: Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling. Exp Ther Med 15: 761-768, 2018.
APA
Yajun, C., Yuan, T., Zhong, W., & Bin, X. (2018). Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling. Experimental and Therapeutic Medicine, 15, 761-768. https://doi.org/10.3892/etm.2017.5510
MLA
Yajun, C., Yuan, T., Zhong, W., Bin, X."Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling". Experimental and Therapeutic Medicine 15.1 (2018): 761-768.
Chicago
Yajun, C., Yuan, T., Zhong, W., Bin, X."Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling". Experimental and Therapeutic Medicine 15, no. 1 (2018): 761-768. https://doi.org/10.3892/etm.2017.5510
Copy and paste a formatted citation
x
Spandidos Publications style
Yajun C, Yuan T, Zhong W and Bin X: Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling. Exp Ther Med 15: 761-768, 2018.
APA
Yajun, C., Yuan, T., Zhong, W., & Bin, X. (2018). Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling. Experimental and Therapeutic Medicine, 15, 761-768. https://doi.org/10.3892/etm.2017.5510
MLA
Yajun, C., Yuan, T., Zhong, W., Bin, X."Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling". Experimental and Therapeutic Medicine 15.1 (2018): 761-768.
Chicago
Yajun, C., Yuan, T., Zhong, W., Bin, X."Investigation of the molecular mechanisms underlying postoperative recurrence in prostate cancer by gene expression profiling". Experimental and Therapeutic Medicine 15, no. 1 (2018): 761-768. https://doi.org/10.3892/etm.2017.5510
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