An increasingly recognized resistance mechanism to androgen receptor (AR)-directed therapy in prostate cancer involves epithelial plasticity, wherein tumor cells demonstrate low to absent AR expression and often neuroendocrine features. The etiology and molecular basis for these “alternative” treatment-resistant cell states remain incompletely understood. Here, by analyzing whole exome sequencing data of metastatic biopsies from patients, we observed significant genomic overlap between castration resistant adenocarcinoma (CRPC-Adeno) and neuroendocrine histologies (CRPC-NE); analysis of serial progression samples points to a model most consistent with divergent clonal evolution. Genome-wide DNA methylation revealed marked epigenetic differences between CRPC-NE and CRPC-Adeno that also designated cases of CRPC-Adeno with clinical features of AR-independence as CRPC-NE, suggesting that epigenetic modifiers may play a role in the induction and/or maintenance of this treatment-resistant state. This study supports the emergence of an alternative, “AR-indifferent” cell state through divergent clonal evolution as a mechanism of treatment resistance in advanced prostate cancer.

Precision Medicine is an approach that takes into account the influence of individuals' genes, environment and lifestyle exposures to tailor interventions. Here, we describe the development of a robust precision cancer care platform, which integrates whole exome sequencing (WES) with a living biobank that enables high throughput drug screens on patient-derived tumor organoids. To date, 56 tumor-derived organoid cultures, and 19 patient-derived xenograft (PDX) models have been established from the 769 patients enrolled in an IRB approved clinical trial. Because genomics alone was insufficient to identify therapeutic options for the majority of patients with advanced disease, we used high throughput drug screening effective strategies. Analysis of tumor derived cells from four cases, two uterine malignancies and two colon cancers, identified effective drugs and drug combinations that were subsequently validated using 3D cultures and PDX models. This platform thereby promotes the discovery of novel therapeutic approaches that can be assessed in clinical trials and provides personalized therapeutic options for individual patients where standard clinical options have been exhausted.