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: Magani F 

PROVIDER: S-EPMC6684952 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature