Supplementary Figure Legends 1-5 from Targeting the BAF57 SWI/SNF Subunit in Prostate Cancer: A Novel Platform to Control Androgen Receptor Activity

Supplementary Data from Cyclin D1 Splice Variants: Polymorphism, Risk, and Isoform-Specific Regulation in Prostate Cancer

Supplementary Figure 6 from Identification of ASF/SF2 as a Critical, Allele-Specific Effector of the Cyclin D1b Oncogene

Supplementary Figure 6 from The SWI/SNF ATPase Brm Is a Gatekeeper of Proliferative Control in Prostate Cancer

Supplementary Figure 5 from Targeting the BAF57 SWI/SNF Subunit in Prostate Cancer: A Novel Platform to Control Androgen Receptor Activity

Supplementary Legends 1-3 from Retinoblastoma Tumor Suppressor Status Is a Critical Determinant of Therapeutic Response in Prostate Cancer Cells

Supplementary Figure Legends 1-7 from The SWI/SNF ATPase Brm Is a Gatekeeper of Proliferative Control in Prostate Cancer

PDF file - 464K, Mimicking tumor-derived BAF57 elevation in vitro.

Supplementary Figures 1-3 from Retinoblastoma Tumor Suppressor Status Is a Critical Determinant of Therapeutic Response in Prostate Cancer Cells

PDF file - 2249K, BAF57 aberrations govern pro-metastatic phenotypes.

PDF file - 681K, BAF57 dependent modulation of integrin signaling.

Supplementary Figures 1-5 and 7 from The SWI/SNF ATPase Brm Is a Gatekeeper of Proliferative Control in Prostate Cancer

PDF file - 554K, Metastatic loci from individual patients display differences in BAF57 elevation.

PDF file - 91K, Oligonucleotide Sequences and Kegg Pathway Summary.

PDF file - 2354K, Microarray analyses of BAF57 deregulation.

A plethora of individual candidate biomarkers for predicting biochemical relapse in localized prostate cancer (PCa) have been proposed. Combined biomarkers may improve prognostication, and ensuring validation against more clinically relevant endpoints are required. The Australian PCa Research Centre NSW has contributed to numerous studies of molecular biomarkers associated with biochemical relapse. In the current study, these biomarkers were re‐analyzed for biochemical relapse, metastatic relapse and PCa death with extended follow‐up. Biomarkers of significance were then used to develop a combined prognostic model for clinical outcomes and validated in a large independent cohort. The discovery cohort (n = 324) was based on 12 biomarkers with a median follow‐up of 16 years. Seven biomarkers were significantly associated with biochemical relapse. Three biomarkers were associated with metastases: AZGP1, Ki67 and PML. Only AZGP1 was associated with PCa death. In their individual and combinational forms, AZGP1 and Ki67 as a dual BM signature was the most robust predictor of metastatic relapse (AUC 0.762). The AZPG1 and Ki67 signature was validated in an independent cohort of 347 PCa patients. The dual BM signature of AZGP1 and Ki67 predicted metastasis in the univariable (HR 7.2, 95% CI, 1.6–32; p = 0.01) and multivariable analysis (HR 5.4, 95% CI, 1.2–25; p = 0.03). The dual biomarker signature marginally improved risk prediction compared to AZGP1 alone (AUC 0.758 versus 0.738, p < 0.001). Our findings indicate that biochemical relapse is not an adequate surrogate for metastasis or PCa death. The dual biomarker signature of AZGP1 and Ki67 offers a small benefit in predicting metastasis over AZGP1 alone.

The androgen receptor (AR) is required for prostate cancer (PCa) survival and progression, and ablation of AR activity is the first line of therapeutic intervention for disseminated disease. While initially effective, recurrent tumors ultimately arise for which there is no durable cure. Despite the dependence of PCa on AR activity throughout the course of disease, delineation of the AR-dependent transcriptional network that governs disease progression remains elusive, and the function of AR in mitotically active cells is not well understood. Analyzing AR activity as a function of cell cycle revealed an unexpected and highly expanded repertoire of AR-regulated gene networks in actively cycling cells. New AR functions segregated into two major clusters: those that are specific to cycling cells and retained throughout the mitotic cell cycle ('Cell Cycle Common'), versus those that were specifically enriched in a subset of cell cycle phases ('Phase Restricted'). Further analyses identified previously unrecognized AR functions in major pathways associated with clinical PCa progression. Illustrating the impact of these unmasked AR-driven pathways, dihydroceramide desaturase 1 was identified as an AR-regulated gene in mitotically active cells that promoted pro-metastatic phenotypes, and in advanced PCa proved to be highly associated with development of metastases, recurrence after therapeutic intervention and reduced overall survival. Taken together, these findings delineate AR function in mitotically active tumor cells, thus providing critical insight into the molecular basis by which AR promotes development of lethal PCa and nominate new avenues for therapeutic intervention.

Two decades after the discovery of the first animal microRNA (miRNA), the number of miRNAs in animal genomes remains a vexing question. Here, we report findings from analyzing 1,323 short RNA sequencing samples (RNA-seq) from 13 different human tissue types. Using stringent thresholding criteria, we identified 3,707 statistically significant novel mature miRNAs at a false discovery rate of ≤ 0.05 arising from 3,494 novel precursors; 91.5% of these novel miRNAs were identified independently in 10 or more of the processed samples. Analysis of these novel miRNAs revealed tissue-specific dependencies and a commensurate low Jaccard similarity index in intertissue comparisons. Of these novel miRNAs, 1,657 (45%) were identified in 43 datasets that were generated by cross-linking followed by Argonaute immunoprecipitation and sequencing (Ago CLIP-seq) and represented 3 of the 13 tissues, indicating that these miRNAs are active in the RNA interference pathway. Moreover, experimental investigation through stem-loop PCR of a random collection of newly discovered miRNAs in 12 cell lines representing 5 tissues confirmed their presence and tissue dependence. Among the newly identified miRNAs are many novel miRNA clusters, new members of known miRNA clusters, previously unreported products from uncharacterized arms of miRNA precursors, and previously unrecognized paralogues of functionally important miRNA families (e.g., miR-15/107). Examination of the sequence conservation across vertebrate and invertebrate organisms showed 56.7% of the newly discovered miRNAs to be human-specific whereas the majority (94.4%) are primate lineage-specific. Our findings suggest that the repertoire of human miRNAs is far more extensive than currently represented by public repositories and that there is a significant number of lineage- and/or tissue-specific miRNAs that are uncharacterized.

Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA The androgen receptor (AR) plays a vital role in prostate cancer (PCa) due in part to its ability to interact with cell cycle components in order to drive cell cycle transition. Numerous points of cross-talk have been identified, wherein specific components of the cell cycle machinery “feed back” to modulate AR function, and these interactions are thought to be altered in human malignancies. Despite these observations, the majority of genome wide analyses for AR have been performed in cells that have exited cell cycle (G0). Here, the cell cycle dependent AR transcriptome and cistrome was identified, revealing new and unexpected functions for AR in cycling tumor cells. In studies to be discussed, cells were arrested in 5 distinct phases of the cell cycle, stimulated with androgen, and AR activity assessed through gene expression and ChIP-Seq analyses. In AR binding analyses, significant overlap was seen with previously identified sites, but were accompanied by novel binding events that could be segregated into those that are specific to cycling cells and occur in all phases (“cell cycle common”) or show cell cycle stage specific binding (“phase exclusive”). Over 50% of the cell cycle common sites, and up to 95% of the phases exclusive sites were novel AR occupied sites. Additionally, using a “guilty by association” approach to determine potentially AR regulated genes from this novel cistromic data, it was determined that close to 50% of cell cycle common, and 70% of phase exclusive binding uncover novel candidates for AR regulation. Cistrome data was therefore overlaid with microarray data, to prioritize discovery of meaningful, cell cycle specific AR binding events. Analyses to be discussed reveal striking new insight into disease relevant AR function. In sum, these data rigorously demonstrate that AR acts in a cell cycle dependent manner, and that these functions of AR have a major impact on tumor cell phenotypes. Citation Format: Christopher McNair, Jonathan Goodwin, Michael Augello, Alfonso Urbanucci, Matthew Schiewer, Clay Comstock, Adam Ertel, Liguo Wang, Qianben Wang, Ian Mills, Wei Li, Jason Carroll, Karen Knudsen. Genome wide analysis of AR-cell cycle interplay reveals novel functions in cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1844. doi:10.1158/1538-7445.AM2015-1844