Wang, Yuzhuo

62 Background: We have previously reported that mutations in SPOP promote bromodomain and extra-terminal motif (BET) protein upregulation and BET inhibitor resistance in prostate cancer (Zhang et al., Nature Medicine 23(9):1055-1062, 2017). Other studies indicate that histone acetyltransferases (HATs) such as P300 are also upregulated in SPOP-mutated prostate cancer (Blattner et al., Cancer Cell 31: 436-451, 2017). Methods: We examined the anti-cancer effect of NEO2734 (Epigene Therapeutics Inc), a novel dual inhibitor of both BET and CBP-P300, in prostate cancer using cell line, organoid and patient-derived xenografts (PDX) as working models. We examined the anti-cancer effect of NEO2734 (Epigene Therapeutics Inc), a novel dual inhibitor of both BET and CBP-P300, in prostate cancer using cell line, organoid and patient-derived xenografts (PDX) as working models. Results: We demonstrated that while prostate cancer cell lines expressing F133V, the most frequent SPOP mutant, are very resistant to both BET inhibitor JQ1 and CBP/P300 inhibitor CPI-637, they are very sensitive to simultaneous cotreatment with JQ1 and CPI-637. Similarly, we demonstrated that F133V mutant cells are also very sensitive to NEO2734. We established PDX and organoid models from a patient with prostate cancer expressing a novel SPOP mutation Q165P. Computer simulation analysis reveals that the Q165P mutation causes larger conformational fluctuation, indicating that the structure of Q165P is less stable than that of wild type SPOP. Accordingly, co-immunoprecipitation assay showed that Q165P mutation impaired the dimerization ability of SPOP. We further showed that the Q165P mutant organoid was very sensitive to NEO2734 in vitro and the Q165P mutant PDX was very sensitive to NEO2734 in mice. Conclusions: These PDX-based pre-clinical studies indicate that the inhibition of both BET and CBP-P300, either by co-administration of two agents, or by treatment with the dual inhibitor, NEO2734, is effective in SPOP-mutated prostate cancer. These data provide a strong rationale for the inclusion of patients with SPOP-mutated prostate cancer in clinical studies of NEO2734.

Abstract Background Treatment-induced neuroendocrine prostate cancer (tNEPC) is an aggressive variant of late-stage metastatic castrate-resistant prostate cancer that commonly arises through neuroendocrine transdifferentiation (NEtD). Treatment options are limited, ineffective, and, for most patients, result in death in less than a year. We previously developed a first-in-field patient-derived xenograft (PDX) model of NEtD. Longitudinal deep transcriptome profiling of this model enabled monitoring of dynamic transcriptional changes during NEtD and in the context of androgen deprivation. Long non-coding RNA (lncRNA) are implicated in cancer where they can control gene regulation. Until now, the expression of lncRNAs during NEtD and their clinical associations were unexplored. Results We implemented a next-generation sequence analysis pipeline that can detect transcripts at low expression levels and built a genome-wide catalogue (n = 37,749) of lncRNAs. We applied this pipeline to 927 clinical samples and our high-fidelity NEtD model LTL331 and identified 821 lncRNAs in NEPC. Among these are 122 lncRNAs that robustly distinguish NEPC from prostate adenocarcinoma (AD) patient tumours. The highest expressed lncRNAs within this signature are H19, LINC00617, and SSTR5-AS1. Another 742 are associated with the NEtD process and fall into four distinct patterns of expression (NEtD lncRNA Class I, II, III, and IV) in our PDX model and clinical samples. Each class has significant (z-scores >2) and unique enrichment for transcription factor binding site (TFBS) motifs in their sequences. Enriched TFBS include (1) TP53 and BRN1 in Class I, (2) ELF5, SPIC, and HOXD1 in Class II, (3) SPDEF in Class III, (4) HSF1 and FOXA1 in Class IV, and (5) TWIST1 when merging Class III with IV. Common TFBS in all NEtD lncRNA were also identified and include E2F, REST, PAX5, PAX9, and STAF. Interrogation of the top deregulated candidates (n = 100) in radical prostatectomy adenocarcinoma samples with long-term follow-up (median 18 years) revealed significant clinicopathological associations. Specifically, we identified 25 that are associated with rapid metastasis following androgen deprivation therapy (ADT). Two of these lncRNAs (SSTR5-AS1 and LINC00514) stratified patients undergoing ADT based on patient outcome. Discussion To date, a comprehensive characterization of the dynamic landscape of lncRNAs during the NEtD process has not been performed. A temporal analysis of the PDX-based NEtD model has for the first time provided this dynamic landscape. TFBS analysis identified NEPC-related TF motifs present within the NEtD lncRNA sequences, suggesting functional roles for these lncRNAs in NEPC pathogenesis. Furthermore, select NEtD lncRNAs appear to be associated with metastasis and patients receiving ADT. Treatment-related metastasis is a clinical consequence of NEPC tumours. Top candidate lncRNAs FENDRR, H19, LINC00514, LINC00617, and SSTR5-AS1 identified in this study are implicated in the development of NEPC. We present here for the first time a genome-wide catalogue of NEtD lncRNAs that characterize the transdifferentiation process and a robust NEPC lncRNA patient expression signature. To accomplish this, we carried out the largest integrative study that applied a PDX NEtD model to clinical samples. These NEtD and NEPC lncRNAs are strong candidates for clinical biomarkers and therapeutic targets and warrant further investigation.