• RNA-seq Analysis and Identification of Potential ceRNA Axes in Prostate Cancer Progression using Systems Biology Methods
  • Arash Safarzadeh,1,*
    1. Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences


  • Introduction: Prostate cancer is among the most common cancers in males. Recent application of system biology methods has resulted in identification of key genes in the process of carcinogenesis.
  • Methods: In the current study, we applied the system biology methods for identification of potential competing endogenous RNA axes in prostate cancer.
  • Results: Our analyses revealed importance of ADAMTS9-AS2/miR-150/PRKCA, ADAMTS9-AS2/miR-150/MMP14, MEG3/miR-150/PRKCA and MEG3/miR-150/MMP14. Remarkably, all hub genes within the key axes of the ceRNA network, except MEG3, exhibited strong statistical significance in survival analyses. Therefore, these genes can be regarded as prognostic markers in prostate cancer and potential candidates for therapeutic interventions.
  • Conclusion: Future studies can focus on transcriptional profiles of prostate cancer samples with different clinical stages to better understand stage-specific events.
  • Keywords: Prostate cancer, ceRNA, Key Axes, lncRNA