Bryce Lakely

SRRM4 Expression and the Loss of REST Activity May Promote the Emergence of the Neuroendocrine Phenotype in Castration-Resistant Prostate Cancer

Purpose: The neuroendocrine phenotype is associated with the development of metastatic castration-resistant prostate cancer (CRPC). Our objective was to characterize the molecular features of the neuroendocrine phenotype in CRPC. Experimental Design: Expression of chromogranin A (CHGA), synaptophysin (SYP), androgen receptor (AR), and prostate-specific antigen (PSA) was analyzed by IHC in 155 CRPC metastases from 50 patients and in 24 LuCaP prostate cancer patient-derived xenografts (PDX). Seventy-one of 155 metastases and the 24 LuCaP xenograft lines were analyzed by whole-genome microarrays. REST splicing was verified by PCR. Results: Coexpression of CHGA and SYP in >30% of cells was observed in 22 of 155 metastases (9 patients); 11 of the 22 metastases were AR+/PSA+ (6 patients), 11/22 were AR–/PSA– (4 patients), and 4/24 LuCaP PDXs were AR−/PSA−. By IHC, of the 71 metastases analyzed by whole-genome microarrays, 5 metastases were CHGA+/SYP+/AR−, and 5 were CHGA+/SYP+/AR+. Only CHGA+/SYP+ metastases had a neuroendocrine transcript signature. The neuronal transcriptional regulator SRRM4 transcript was associated with the neuroendocrine signature in CHGA+/SYP+ metastases and all CHGA+/SYP+ LuCaP xenografts. In addition, expression of SRRM4 in LuCaP neuroendocrine xenografts correlated with a splice variant of REST that lacks the transcriptional repressor domain. Conclusions: (i) Metastatic neuroendocrine status can be heterogeneous in the same patient, (ii) the CRPC neuroendocrine molecular phenotype can be defined by CHGA+/SYP+ dual positivity, (iii) the neuroendocrine phenotype is not necessarily associated with the loss of AR activity, and (iv) the splicing of REST by SRRM4 could promote the neuroendocrine phenotype in CRPC. Clin Cancer Res; 21(20); 4698–708. ©2015 AACR.

Truncation and constitutive activation of the androgen receptor by diverse genomic rearrangements in prostate cancer

Molecularly targeted therapies for advanced prostate cancer include castration modalities that suppress ligand-dependent transcriptional activity of the androgen receptor (AR). However, persistent AR signalling undermines therapeutic efficacy and promotes progression to lethal castration-resistant prostate cancer (CRPC), even when patients are treated with potent second-generation AR-targeted therapies abiraterone and enzalutamide. Here we define diverse AR genomic structural rearrangements (AR-GSRs) as a class of molecular alterations occurring in one third of CRPC-stage tumours. AR-GSRs occur in the context of copy-neutral and amplified AR and display heterogeneity in breakpoint location, rearrangement class and sub-clonal enrichment in tumours within and between patients. Despite this heterogeneity, one common outcome in tumours with high sub-clonal enrichment of AR-GSRs is outlier expression of diverse AR variant species lacking the ligand-binding domain and possessing ligand-independent transcriptional activity. Collectively, these findings reveal AR-GSRs as important drivers of persistent AR signalling in CRPC.

Characterization of Osteoblastic and Osteolytic Proteins in Prostate Cancer Bone Metastases

Approximately 90% of patients who die of Prostate Cancer (PCa) have bone metastases, which promote a spectrum of osteoblastic, osteolytic or mixed bone responses. Numerous secreted proteins have been reported to promote osteoblastic or osteolytic bone responses. We determined whether previously identified and/or novel proteins were associated with the osteoblastic or osteolytic response in clinical specimens of PCa bone metastases.

Single cell transcriptomic analysis of prostate cancer cells

BackgroundThe ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). To determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell, we clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, two groups of 10 individual DTC, each isolated from bone marrow of 2 patients with metastatic PCa were obtained. RNA was amplified using the WT-Ovation™ One-Direct Amplification System. The amplified material was hybridized on a 44K Whole Human Gene Expression Microarray. A high stringency threshold, a mean Alexa Fluor® 3 signal intensity above 300, was used for gene detection. Relative expression levels were validated for select genes using real-time PCR (RT-qPCR).ResultsUsing this approach, 22,410, 20,423, and 17,009 probes were positive on the arrays from 10-cell pools, 5-cell pools, and single-cells, respectively. The sensitivity and specificity of gene detection on the single-cell analyses were 0.739 and 0.972 respectively when compared to 10-cell pools, and 0.814 and 0.979 respectively when compared to 5-cell pools, demonstrating a low false positive rate. Among 10,000 randomly selected pairs of genes, the Pearson correlation coefficient was 0.875 between the single-cell and 5-cell pools and 0.783 between the single-cell and 10-cell pools. As expected, abundant transcripts in the 5- and 10-cell samples were detected by RT-qPCR in the single-cell isolates, while lower abundance messages were not. Using the same stringency, 16,039 probes were positive on the patient single-cell arrays. Cluster analysis showed that all 10 DTC grouped together within each patient.ConclusionsA transcriptomic profile can be reliably obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled-cell samples, however this method can be used to reliably obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa.

Inhibition of angiopoietin-2 in LuCaP 23.1 prostate cancer tumors decreases tumor growth and viability.

Angiopoietin‐2 is expressed in prostate cancer (PCa) bone, liver, and lymph node metastases, whereas, its competitor angiopoietin‐1 has limited expression in these tissues. Therefore, we hypothesized that the inhibition of angiopoietin‐2 activity in PCa will impede angiogenesis, tumor growth, and alter bone response in vivo.

Cellular Adhesion Promotes Prostate Cancer Cells Escape from Dormancy.

Dissemination of prostate cancer (PCa) cells to the bone marrow is an early event in the disease process. In some patients, disseminated tumor cells (DTC) proliferate to form active metastases after a prolonged period of undetectable disease known as tumor dormancy. Identifying mechanisms of PCa dormancy and reactivation remain a challenge partly due to the lack of in vitro models. Here, we characterized in vitro PCa dormancy-reactivation by inducing cells from three patient-derived xenograft (PDX) lines to proliferate through tumor cell contact with each other and with bone marrow stroma. Proliferating PCa cells demonstrated tumor cell-cell contact and integrin clustering by immunofluorescence. Global gene expression analyses on proliferating cells cultured on bone marrow stroma revealed a downregulation of TGFB2 in all of the three proliferating PCa PDX lines when compared to their non-proliferating counterparts. Furthermore, constitutive activation of myosin light chain kinase (MLCK), a downstream effector of integrin-beta1 and TGF-beta2, in non-proliferating cells promoted cell proliferation. This cell proliferation was associated with an upregulation of CDK6 and a downregulation of E2F4. Taken together, our data provide the first clinically relevant in vitro model to support cellular adhesion and downregulation of TGFB2 as a potential mechanism by which PCa cells may escape from dormancy. Targeting the TGF-beta2-associated mechanism could provide novel opportunities to prevent lethal PCa metastasis.

Laser capture microdissection enables cellular and molecular studies of tooth root development

Epithelial–mesenchymal interactions (EMIs) are critical for tooth development. Molecular mechanisms mediating these interactions in root formation is not well understood. Laser capture microdissection (LCM) and subsequent microarray analyses enable large scale in situ molecular and cellular studies of root formation but to date have been hindered by technical challenges of gaining intact histological sections of non-decalcified mineralized teeth or jaws with well-preserved RNA. Here,we describe a new method to overcome this obstacle that permits LCM of dental epithelia,adjacent mesenchyme,odontoblasts and cementoblasts from mouse incisors and molars during root development. Using this method,we obtained RNA samples of high quality and successfully performed microarray analyses. Robust differences in gene expression,as well as genes not previously associated with root formation,were identified. Comparison of gene expression data from microarray with real-time reverse transcriptase polymerase chain reaction (RT-PCR) supported our findings. These genes include known markers of dental epithelia,mesenchyme,cementoblasts and odontoblasts,as well as novel genes such as those in the fibulin family. In conclusion,our new approach in tissue preparation enables LCM collection of intact cells with well-preserved RNA allowing subsequent gene expression analyses using microarray and RT-PCR to define key regulators of tooth root development.

Epithelial mesenchymal-like transition occurs in a subset of cells in castration resistant prostate cancer bone metastases

TGFβ is a known driver of epithelial-mesenchymal transition (EMT) which is associated with tumor aggressiveness and metastasis. However, EMT has not been fully explored in clinical specimens of castration-resistant prostate cancer (CRPC) metastases. To assess EMT in CRPC, gene expression analysis was performed on 149 visceral and bone metastases from 62 CRPC patients and immunohistochemical analysis was performed on 185 CRPC bone and visceral metastases from 42 CRPC patients. In addition, to assess the potential of metastases to seed further metastases the mitochondrial genome was sequenced at different metastatic sites in one patient. TGFβ was increased in bone versus visceral metastases. While primarily cytoplasmic; nuclear and cytoplasmic Twist were significantly higher in bone than in visceral metastases. Slug and Zeb1 were unchanged, with the exception of nuclear Zeb1 being significantly higher in visceral metastases. Importantly, nuclear Twist, Slug, and Zeb1 were only present in a subset of epithelial cells that had an EMT-like phenotype. Underscoring the relevance of EMT-like cells, mitochondrial sequencing revealed that metastases could seed additional metastases in the same patient. In conclusion, while TGFβ expression and EMT-associated protein expression is present in a considerable number of CRPC visceral and bone metastases, nuclear Twist, Slug, and Zeb1 localization and an EMT-like phenotype (elongated nuclei and cytoplasmic compartment) was only present in a small subset of CRPC bone metastases. Mitochondrial sequencing from different metastases in a CRPC patient provided evidence for the seeding of metastases from previously established metastases, highlighting the biological relevance of EMT-like behavior in CRPC metastases.

Abstract 1092: Defining the molecular phenotypes of metastatic castration-resistant prostate cancer sensitive to FGF pathway inhibition

Background: Widespread and long-term use of first-and second-line androgen-deprivation therapy (ADT) is changing the molecular and phenotypic landscapes of prostate cancer. Observations made through our longstanding rapid autopsy and patient-derived xenograft (PDX) programs at the University of Washington support a shift in metastatic castration-resistant prostate cancer (mCRPC) towards androgen receptor (AR)-null phenotypes, such as neuroendocrine (NEPC) and double negative (DNPC). Currently, there are no effective therapies for AR-null mCRPC. We showed previously that DNPC (AR-null, NE-null) bypasses AR-dependence through fibroblast growth factor (FGF) signaling. However, the role of the FGF pathway in other molecular mCRPC subtypes remains to be determined. Methods and Results: Here, we define four mCRPC subtypes that can be categorized by the presence or absence of functioning AR or RE1-silencing transcription factor (REST). Transcriptomic analysis of mCRPC specimens showed that AR and REST activity define four emerging mCRPC phenotypes: adenocarcinoma (AR+/REST+), amphicrine (tumor cells that co-express AR and NE markers, AR+/REST-), DNPC (AR-/REST+) and NEPC (AR-/REST-). Immunohistochemistry of mCRPC and PDX models for AR, prostate specific antigen, synaptophysin, chromogranin, and other clinically relevant markers accurately reflected the AR/REST transcriptomic signature classifications. Furthermore, loss of REST activity can, at least in part, be attributed to alternative splicing of REST mRNA by serine/arginine repetitive matrix protein 4 (SRRM4), leading to the translation of a truncated REST protein. PCR analysis of mCRPC identified the REST splice variant exclusively in amphicrine and NEPC specimens. RNA sequencing/GSEA, qPCR and immunoblot analyses determined that overexpression of SRRM4 or siRNA knockdown of REST in C4-2B (AR+) and PC-3 (AR-) prostate cancer cells promotes expression of neuroendocrine markers. Finally, we are conducting preclinical testing of the FGFR inhibitor CH5183284 in multiple PDX models representing the four mCRPC subtypes described above to delineate the impact of FGF pathway inhibition in all mCRPC subtypes. Conclusions: Our data highlight the importance of AR and REST transcriptional programs in maintaining phenotypic stability in mCRPC and explain the phenotypic heterogeneity of mCRPC in the post-abiraterone/enzalutamide era. Understanding the mCRPC subtypes that depend on the FGF pathway for survival and proliferation will inform treatment and lead to the development of novel therapies for advanced disease. Citation Format: Mark P. Labrecque, Lisha G. Brown, Ilsa M. Coleman, Lawrence D. True, Lori Kollath, Bryce Lakely, Yu C. Yang, Holly M. Nguyen, Eva Corey, Peter S. Nelson, Colm Morrissey. Defining the molecular phenotypes of metastatic castration-resistant prostate cancer sensitive to FGF pathway inhibition [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1092.

Abstract 4011: Single cell transcriptomic analysis identified a potential dormant signature in prostate cancer disseminated tumor cells

Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA Prostate cancer (PCa) disseminates before radical prostatectomy and can remain in the bone marrow for a prolonged period of time (>10 years) until lethal metastasis develops. These cells are referred to as disseminated tumor cells (DTC). Dormant DTC are resistant to current chemotherapy targeting cell division, therefore understanding the nature of DTC will allow the development of novel drug target to prevent overt cancer metastases. DTC were isolated from the bone marrow aspirates of PCa patients with no evidence of disease (NED, undetectable PSA level after 7-18 years after radical prostatectomy) or advanced diseases (ADV, disease progression after treatment or existing distant metastases). Eighty-five EpCAM+/CD45- individual cells were subjected to microarray gene expression analyses and two populations of cells were identified: erythroid progenitor-like and prostate epithelial cells. We utilized a dual signature method to identify EpCAM+/CD45- cells that are of prostatic origin. Comparison among prostate DTC showed that the DTC population within each patient was heterogeneous. Importantly, comparison between DTC from NED and ADV patients revealed that DTC from NED patients were enriched in a dormancy-associated signature identified in the head and neck squamous cell carcinoma, supporting the dormant nature of DTC from NED patients. Global clustering analysis and Ingenuity Pathway Analysis further identified a potential PCa dormancy signature, and this signature is significantly suppressed in a subpopulation of DTC isolated from ADV patients. We reported a single cell transcriptomic analysis to reveal for the first time clinically heterogeneous DTC population in PCa patients and a dual signature method to identify cells of prostatic origin from erythroid-progenitor cells that harbored the same epithelial (EpCAM) surface marker in the bone marrow. The proposed gene signature associated with PCa dormancy may allow development of possible biomarkers to predict prognosis and therapeutic targets to promote PCa dormancy or prevent dormancy escape. Citation Format: Hung-Ming Lam, Lisly Chery, Ilsa Coleman, Bryce Lakely, Sandy Larson, Roger Coleman, Julio Aguirre-Ghiso, Jing Xia, Roman Gulati, Peter S. Nelson, Bruce Montgomery, Paul H. Lange, Linda A. Snyder, Robert L. Vessella, Colm Morrissey. Single cell transcriptomic analysis identified a potential dormant signature in prostate cancer disseminated tumor cells. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4011. doi:10.1158/1538-7445.AM2014-4011