Project description:ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene. 6 Prostate cancer cell lines and 11 prostate cancer xenografts are included in this study. Each sample was analyzed once.
Project description:Prostate cancer cell lines that express ERG acquire a neuron-like phenotype. The human prostate tumor cell line LNCap was transfected with lenti-ERG or control lenti-vector. Gene expression profiling was performed to establish the ERG-associated phenotype.
Project description:Deregulation of the Androgen Receptor (AR) transcriptional network is a common hallmark in prostate cancers. To achieve its precise transcriptional role, AR needs to co-operate specifically with a plethora of cofactors. In prostate cancers, AR transcription collaborators are frequently aberrantly over-expressed, altering the AR signaling pathway to one that promotes oncogenesis. Recently, the prostate cancer recurrent fusion gene, ERG, was shown to promote tumor progression by acting as a repressor of AR signaling. However, the exact mechanics and the functional consequences associated with this crosstalk between ERG and AR still remains relatively unknown. Interestingly, through chromatin immunoprecipitation coupled with massively parallel sequencing, we discover that ERG and other commonly over-expressed transcriptional co-repressors (HDAC1, HDAC2, HDAC3 and EZH2) are wired into an AR-centric transcriptional network via a spectrum of distal enhancers and/or proximal promoters. We show that ERG represses several AR target genes involved in epithelial differentiation. Furthermore, we demonstrated that suppression of the androgen-induced gene, Vinculin, by ERG and histone deacetylases increases cancer cell invasiveness. From our results, we propose that ERG, histone deactelyases and the histone methyltransferase, EZH2, could impede epithelial differentiation and contribute to prostate cancer progression, in part through modulating the transcriptional output of AR. Gene expression profiling of human prostate cancer VCaP cells with time-course dihydrotestosterone (DHT) stimulation using microarrays. Triplicates were generated for each treatment/time point.
Project description:Deregulation of the Androgen Receptor (AR) transcriptional network is a common hallmark in prostate cancers. To achieve its precise transcriptional role, AR needs to co-operate specifically with a plethora of cofactors. In prostate cancers, AR transcription collaborators are frequently aberrantly over-expressed, altering the AR signaling pathway to one that promotes oncogenesis. Recently, the prostate cancer recurrent fusion gene, ERG, was shown to promote tumor progression by acting as a repressor of AR signaling. However, the exact mechanics and the functional consequences associated with this crosstalk between ERG and AR still remains relatively unknown. Interestingly, through chromatin immunoprecipitation coupled with massively parallel sequencing, we discover that ERG and other commonly over-expressed transcriptional co-repressors (HDAC1, HDAC2, HDAC3 and EZH2) are wired into an AR centric transcriptional network via a spectrum of distal enhancers and/or proximal promoters. We show that ERG represses several AR target genes involved in epithelial differentiation. Furthermore, we demonstrated that suppression of the androgen induced gene, Vinculin, by ERG and histone deacetylases increases cancer cell invasiveness. From our results, we propose that ERG, histone deactelyases and the histone methyltransferase, EZH2, could impede epithelial differentiation and contribute to prostate cancer progression, in part through modulating the transcriptional output of AR. Gene expression profiling of human prostate cancer VCaP cells with time course DHT stimulation using microarray.