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Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis

  • Authors:
    • Chui Guo Huang
    • Feng Xi Li
    • Song Pan
    • Chang Bao Xu
    • Jun Qiang Dai
    • Xing Hua Zhao
  • View Affiliations / Copyright

    Affiliations: Department of Urology, The Second Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan 450014, P.R. China, Department of Gastrointestinal Glands Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi 530000, P.R. China, Department of Urology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan 450014, P.R. China, Department of Neurosurgery, The Second Affiliated Hospital, Lanzhou University, Lanzhou, Gansu 730030, P.R. China
    Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6803-6813
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    Published online on: September 13, 2017
       https://doi.org/10.3892/mmr.2017.7488
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Abstract

Prostate cancer (CaP) is a serious and common genital tumor. Generally, men with metastatic CaP can easily develop castration‑resistant prostate cancer (CRPC). However, the pathogenesis and tumorigenic pathways of CRPC remain to be elucidated. The present study performed a comprehensive analysis on the gene expression profile of CRPC in order to determine the pathogenesis and tumorigenic of CRPC. The GSE33316 microarray, which consisted of 5 non‑castrated samples and 5 castrated samples, was downloaded from the gene expression omnibus database. Subsequently, 201 upregulated and 161 downregulated differentially expressed genes (DEGs) were identified using the limma package in R and those genes were classified and annotated by plugin Mcode of Cytoscape. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using Database for Annotation, Visualization and Integrated Discovery and KEGG Orthology Based Annotation System 2.0 online tools to investigate the function of different gene modules. The BiNGO tool was used to visualize the level of enriched GO terms. Protein‑protein interaction network was constructed using STRING and analyzed with Cytoscape. In conclusion, the present study determined that aldo‑keto reductase 3, cyclin B2, regulator of G protein signaling 2, nuclear factor of activated T‑cells and protein kinase C a may have important roles in the development of CRPC.
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Copy and paste a formatted citation
Spandidos Publications style
Huang C, Li F, Pan S, Xu C, Dai J and Zhao X: Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis. Mol Med Rep 16: 6803-6813, 2017.
APA
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., & Zhao, X. (2017). Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis. Molecular Medicine Reports, 16, 6803-6813. https://doi.org/10.3892/mmr.2017.7488
MLA
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., Zhao, X."Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis". Molecular Medicine Reports 16.5 (2017): 6803-6813.
Chicago
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., Zhao, X."Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis". Molecular Medicine Reports 16, no. 5 (2017): 6803-6813. https://doi.org/10.3892/mmr.2017.7488
Copy and paste a formatted citation
x
Spandidos Publications style
Huang C, Li F, Pan S, Xu C, Dai J and Zhao X: Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis. Mol Med Rep 16: 6803-6813, 2017.
APA
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., & Zhao, X. (2017). Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis. Molecular Medicine Reports, 16, 6803-6813. https://doi.org/10.3892/mmr.2017.7488
MLA
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., Zhao, X."Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis". Molecular Medicine Reports 16.5 (2017): 6803-6813.
Chicago
Huang, C., Li, F., Pan, S., Xu, C., Dai, J., Zhao, X."Identification of genes associated with castration‑resistant prostate cancer by gene expression profile analysis". Molecular Medicine Reports 16, no. 5 (2017): 6803-6813. https://doi.org/10.3892/mmr.2017.7488
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