Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.

Enzalutamide (ENZ) has been approved for the treatment of advanced prostate cancer (PCa), but some patients develop ENZ resistance initially or after long-term administration. Although a few key genes have been discovered by previous efforts, the complete mechanisms of ENZ resistance remain unsolved...

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Publicado en:BioMed Research International pp. 1 - 13
Autores principales: Zheng, Long, Dou, Xiaojie, Ma, Xiaodong, Qu, Wei, Tang, Xiaoshuang
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 7/17/2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 7/17/2020
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2020/8341097
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        atl: Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.
      aug:
        au:
          Zheng, Long
          Dou, Xiaojie
          Ma, Xiaodong
          Qu, Wei
          Tang, Xiaoshuang
        affil: Department of Nuclear Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710004, China
      sug:
        subj:
          Gene Expression
          Signal Transduction
          Androgen Antagonists Therapeutic Use
          Drug Resistance, Neoplasm
          Prostatic Neoplasms Drug Therapy
          Cell Line, Tumor Metabolism
          Bioinformatics
          Resource Databases
          Survival Analysis
          Estrogens Metabolism
          Tumor Necrosis Factor Metabolism
          Transforming Growth Factor beta Metabolism
          Complement Metabolism
          Islets of Langerhans Metabolism
          Human
      ab: Enzalutamide (ENZ) has been approved for the treatment of advanced prostate cancer (PCa), but some patients develop ENZ resistance initially or after long-term administration. Although a few key genes have been discovered by previous efforts, the complete mechanisms of ENZ resistance remain unsolved. To further identify more potential key genes and pathways in the development of ENZ resistance, we employed the GSE104935 dataset, including 5 ENZ-resistant (ENZ-R) and 5 ENZ-sensitive (ENZ-S) PCa cell lines, from the Gene Expression Omnibus (GEO) database. Integrated bioinformatics analyses were conducted, such as analysis of differentially expressed genes (DEGs), Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, protein-protein interaction (PPI) analysis, gene set enrichment analysis (GSEA), and survival analysis. From these, we identified 201 DEGs (93 upregulated and 108 downregulated) and 12 hub genes (AR, ACKR3, GPER1, CCR7, NMU, NDRG1, FKBP5, NKX3-1, GAL, LPAR3, F2RL1, and PTGFR) that are potentially associated with ENZ resistance. One upregulated pathway (hedgehog pathway) and seven downregulated pathways (pathways related to androgen response, p53, estrogen response, TNF-α, TGF-β, complement, and pancreas β cells) were identified as potential key pathways involved in the occurrence of ENZ resistance. Our findings may contribute to further understanding the molecular mechanisms of ENZ resistance and provide some clues for the prevention and treatment of ENZ resistance.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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