SUMMARY The evolution of prostate cancer from an androgen-dependent state (ADPCa) to one that is androgen-independent (AIPCa) marks its lethal progression. The androgen receptor (AR) is essential in both, though its function in AIPCa is poorly understood. We have defined the direct AR-dependent target genes in both AIPCa and ADPCa by generating AR-dependent gene expression profiles and AR cistromes. In contrast to ADPCa, AR selectively up-regulates M-phase cell cycle genes in AIPCa including UBE2C, a gene that inactivates the M-phase checkpoint. Selective epigenetic marks and collaborating transcription factor occupancy at UBE2C enhancers leads to increased AR recruitment and UBE2C over-expression in AIPCa cell lines and clinical cases. Silencing of UBE2C blocks AIPCa but not ADPCa growth. Thus the role of AR in AIPCa is not to direct the androgen-dependent gene expression program without androgen, but rather to execute a distinct program resulting in androgen-independent growth.

Epigenetic regulators represent a promising new class of therapeutic targets for cancer. Enhancer of zeste homolog 2 (EZH2), a subunit of Polycomb repressive complex 2 (PRC2), silences gene expression via its histone methyltransferase activity. Here we report that the oncogenic function of EZH2 in castration-resistant prostate cancer (CRPC) is independent of its role as a transcriptional repressor. Instead, it involves the ability of EZH2 to act as a co-activator for critical transcription factors including the androgen receptor (AR). This functional switch is dependent on phosphorylation of EZH2, and requires an intact methyltransferase domain. Hence, targeting the non-PRC2 function of EZH2 may have significant therapeutic efficacy for treating metastatic, hormone-refractory prostate cancer.

Chromatin plays a central role in eukaryotic gene regulation. We have performed genome-wide mapping of epigenetically-marked nucleosomes to determine their position both near transcription start sites and at distal regulatory elements including enhancers. In prostate cancer cells where androgen receptor (AR) binds primarily to enhancers, we found that androgen treatment dismisses a central nucleosome present over AR binding sites that is flanked by a pair of marked nucleosomes. A novel quantitative model built on the behavior of such nucleosome pairs correctly identified regions bound by the regulators of the immediate androgen response including AR and FoxA1. More importantly this model also correctly predicted novel binding sites for other transcription factors present following prolonged androgen stimulation including Oct1 and NKX3.1. Thus quantitative modeling of enhancer structure provides a powerful predictive method to infer the identity of transcription factors involved in cellular responses to specific stimuli.