Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A

Long Zheng1, Xiaojie Dou2, Xiaodong Ma1

  • 1Department of Nuclear Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710004, China.

Insights

Enzalutamide resistance in prostate cancer involves key genes and pathways. This study identified 12 hub genes and altered signaling pathways, offering insights into treatment resistance mechanisms.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Enzalutamide (ENZ) is a vital treatment for advanced prostate cancer (PCa).
  • Mechanisms of ENZ resistance in PCa are not fully understood, hindering effective long-term treatment.
  • Identifying novel molecular targets is crucial for overcoming ENZ resistance.

Purpose of the Study:

  • To identify key genes and pathways associated with enzalutamide resistance in prostate cancer.
  • To elucidate the molecular mechanisms underlying the development of ENZ resistance.
  • To provide potential targets for overcoming treatment resistance.

Main Methods:

  • Utilized the GSE104935 dataset comprising enzalutamide-resistant (ENZ-R) and sensitive (ENZ-S) PCa cell lines.
  • Performed integrated bioinformatics analyses: differential gene expression, GO, KEGG, PPI, GSEA, and survival analysis.
  • Identified differentially expressed genes (DEGs) and hub genes, alongside key signaling pathways.

Main Results:

  • Identified 201 DEGs (93 upregulated, 108 downregulated) and 12 hub genes (e.g., AR, ACKR3, GPER1).
  • Discovered one upregulated pathway (Hedgehog) and seven downregulated pathways (androgen response, p53, estrogen response, etc.).
  • These findings highlight significant molecular alterations in ENZ-resistant PCa.

Conclusions:

  • The identified hub genes and pathways are critically involved in prostate cancer enzalutamide resistance.
  • These molecular insights can guide the development of strategies to prevent or treat ENZ resistance.
  • Further research into these targets may improve therapeutic outcomes for advanced PCa patients.

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