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ABSTRACT: Background
Prostate cancer (PCa) is the second most common tumour diagnosed in men. Tumoral heterogeneity in PCa creates a significant challenge to develop robust prognostic markers and novel targets for therapy. An analysis of gene regulatory networks (GRNs) in PCa may provide insight into progressive PCa. Herein, we exploited a graph-based enrichment score to integrate data from GRNs identified in preclinical prostate orthografts and differentially expressed genes in clinical resected PCa. We identified active regulons (transcriptional regulators and their targeted genes) associated with PCa recurrence following radical prostatectomy.Methods
The expression of known transcription factors and co-factors was analysed in a panel of prostate orthografts (n = 18). We sea
SUBMITTER: Cangiano M
PROVIDER: S-EPMC8123677 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature