Identification of an oncogenic network with prognostic and therapeutic value in prostate cancer

ABSTRACT: Identifying critical pathways governing disease progression is essential for accurate prognosis and effective therapy. We developed a broadly applicable and novel systems-level gene discovery strategy. This approach focused on constitutively-active androgen receptor (AR) splice variant-driven pathways as representative of an intractable mechanism of prostate cancer (PC) therapeutic resistance. We performed a meta-analysis of human prostate samples using Weighted Gene-Co-expression Network Analysis combined with experimental AR variant transcriptome analyses. An AR variant-driven gene module that is upregulated during human PC progression was identified. We filtered this module by identifying genes that functionally interacted with AR variants using a high-throughput synthetic genetic array

SUBMITTER: Fiorella Magani 

PROVIDER: S-SCDT-86105_2_1532693665_jats | biostudies-other |

REPOSITORIES: biostudies-other