Expression data from Neuroendocrine Prostate Cancer and Primary Small Cell Prostatic Carcinoma
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ABSTRACT:
PROVIDER: PRJNA413817 | ENA |
REPOSITORIES: ENA
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Project description:Neuroendocrine prostate cancer (NEPC) is rare historically but may be increasingin prevalence as patients potentially develop resistance to contemporary anti-androgen treatment through a neuroendocrine phenotype. Diagnosis can be straightforward when classic morphological features are accompanied by a prototypical immunohistochemistry profile, however there is increasing recognition of disease heterogeneity and hybrid phenotypes. In the primary setting, small cell prostatic carcinoma (SCPC) is frequently admixed with adenocarcinomas that may be clonally related, while a small fraction of SCPC’s express markers typical of prostatic adenocarcinoma. Gene expression patterns may eventually help elucidate the biology underlying equivocal cases with discordant IHC, however studies to date have focused on prototypical cases and been based on few patients due to disease rarity. Here we examine 16 primary SCPC’s and 16 primary high grade adenocarcinomas profiled on exon arrays from archived formalin-fixed paraffin-embedded (FFPE)material.
2018-02-23 | GSE104786 | GEO
Project description:BACKGROUND:Neuroendocrine prostate cancer (NEPC) may be rising in prevalence as patients with advanced prostate cancer potentially develop resistance to contemporary anti-androgen treatment through a neuroendocrine phenotype. While prior studies comparing NEPC and prostatic adenocarcinoma have identified important candidates for targeted therapy, most have relied on few NEPC patients due to disease rarity, resulting in thousands of differentially expressed genes collectively and offering an opportunity for meta-analysis. Moreover, past studies have focused on prototypical NEPC samples with classic immunohistochemistry profiles, whereas there is increasing recognition of atypical phenotypes. In the primary setting, small cell prostatic carcinoma (SCPC) is frequently admixed with adenocarcinomas that may be clonally related, and a minority of SCPCs express markers typical of prostatic adenocarcinoma while rare cases do not express neuroendocrine markers. We derived a meta-signature of prototypical high-grade NEPC, then applied it to develop a classifier of primary SCPC incorporating disease heterogeneity. METHODS:Prototypical NEPC samples from 15 patients across 6 frozen tissue microarray datasets were assessed for genes with consistent outlier expression relative to adenocarcinomas. Resulting genes were used to determine subgroups of primary SCPCs (N=16) and high-grade adenocarcinomas (N=16) profiled by exon arrays using formalin-fixed paraffin-embedded (FFPE) material from our institutional archives. A subgroup classifier was developed using differential expression for feature selection, and applied to radical prostatectomy cohorts. RESULTS:Sixty nine and 375 genes demonstrated consistent outlier expression in at least 80% and 60% of NEPC patients, with close resemblance in expression between NEPC and small cell lung cancer. Clustering by these genes generated 3 subgroups among primary samples from our institution. Nearest centroid classification based on the predominant phenotype from each subgroup (9 prototypical SCPCs, 9 prototypical adenocarcinomas, and 4 atypical SCPCs) achieved a 4.5% error rate by leave-one-out cross-validation. The classifier identified SCPC-like expression in 40% (2/5) of mixed adenocarcinomas and 0.3-0.6% of adenocarcinomas from prospective (4/2293) and retrospective (2/355) radical prostatectomy cohorts, where both SCPC-like retrospective cases subsequently developed metastases. CONCLUSIONS:Meta-analysis generates a robust signature of prototypical high-grade NEPC, and may facilitate development of a primary SCPC classifier based on FFPE material with potential prognostic implications.
| S-EPMC5683385 | biostudies-literature
Project description:Prostatic small cell neuroendocrine carcinoma (SC/NE) is well studied in metastatic castration-resistant prostate cancer; however, it is not well characterized in the primary setting. Herein, we used gene expression profiling of SC/NE prostate cancer (PCa) to develop a 212 gene signature to identify treatment-naïve primary prostatic tumors that are molecularly analogous to SC/NE (SC/NE-like PCa). The 212 gene signature was tested in several cohorts confirming similar molecular profile between prostatic SC/NE and small cell lung carcinoma. The signature was then translated into a genomic score (SCGScore) using modularized logistic regression modeling and validated in four independent cohorts achieving an average AUC >0.95. The signature was evaluated in more than 25,000 primary adenocarcinomas to characterize the biology, prognosis and potential therapeutic response of predicted SC/NE-like tumors. Assessing SCGScore in a prospective cohort of 17,967 RP and 6,697 biopsy treatment-naïve primary tumors from the Decipher Genomic Resource Information Database registry, approximately 1% of the patients were found to have a SC/NE-like transcriptional profile, whereas 0.5 and 3% of GG1 and GG5 patients respectively showed to be SC/NE-like. More than 80% of these patients are genomically high-risk based on Decipher score. Interrogating in vitro drug sensitivity analyses, SC/NE-like prostatic tumors showed higher response to PARP and HDAC inhibitors.
| S-EPMC6852174 | biostudies-literature
Project description:Neuroendocrine prostate cancer models
| PRJNA449097 | ENA
Project description:Benign prostatic hyperplasia (BPH) is difficult to discriminate from prostate carcinoma (PCa) preoperatively. The non-invasive biomarkers are necessary to reduce the burden of biopsies and improve survival quality of patients. Previous research suggests that abnormal glycosylation of immunoglobulin gamma molecules (IgGs) may associated with immunological diseases and prostate diseases. Hence, characterizing intact N-glycopeptides of IgGs that correspond to N-glycan structure with specific site information enable better understanding of the molecular pathogenesis and finding out some novel signatures in preoperative discrimination of BPH from PCa. In this study, we profiled intact N-glycopeptides of purified IgGs from 51 PCa patients and 45 BPH patients by our developed N-glycoproteomic method using hydrophilic interaction liquid chromatography enrichment coupled with high resolution LC-MS/MS, and intact N-glycopeptides quantitative analysis was performed using pGlyco 2.0 and MaxQuant softwares. Our data provided plasma IgG subclass-specific and site-specific N-glycosylation quantitative information.
2020-06-29 | PXD016175 | Pride
Project description:In this study, we found that OTUD6A is a physiological deubiquitinase for c-Myc in prostate cancer setting and promotes prostatic tumorigenesis through stabilizing c-Myc oncoprotein. Moreover, knockout of Otud6a in mice retarded the prostatic tumorigenesis in Hi-Myc prostate cancer mice model
2022-01-01 | GSE189716 | GEO
Project description:miRNA expression of 6 high risk and 8 low risk prostate carcinoma were compared to the expression of 6 benign prostatic hyperplasia. Keywords: expression profile
2011-08-01 | GSE18671 | GEO
Project description:Increased treatment of metastatic castration resistant prostate cancer (mCRPC) with second-generation anti-androgen therapies (ADT) has coincided with a greater incidence of lethal, aggressive variant prostate cancer (AVPC) tumors that have lost androgen receptor (AR) signaling. AVPC tumors may also express neuroendocrine markers, termed neuroendocrine prostate cancer (NEPC). Recent evidence suggests kinase signaling may be an important driver of NEPC. To identify targetable kinases in NEPC, we performed global phosphoproteomics comparing AR-negative to AR-positive prostate cancer cell lines and identified multiple altered signaling pathways, including enrichment of RET kinase activity in the AR-negative cell lines. Clinical NEPC and NEPC patient derived xenografts displayed upregulated RET transcript and RET pathway activity. Pharmacologically inhibiting RET kinase in NEPC models dramatically reduced tumor growth and cell viability in mouse and human NEPC models. Our results suggest that targeting RET in NEPC tumors with high RET expression may be a novel treatment option.
2020-05-29 | PXD012970 | Pride
Project description:Increased treatment of metastatic castration resistant prostate cancer (mCRPC) with second-generation anti-androgen therapies (ADT) has coincided with a greater incidence of lethal, aggressive variant prostate cancer (AVPC) tumors that have lost androgen receptor (AR) signaling. AVPC tumors may also express neuroendocrine markers, termed neuroendocrine prostate cancer (NEPC). Recent evidence suggests kinase signaling may be an important driver of NEPC. To identify targetable kinases in NEPC, we performed global phosphoproteomics comparing AR-negative to AR-positive prostate cancer cell lines and identified multiple altered signaling pathways, including enrichment of RET kinase activity in the AR-negative cell lines. Clinical NEPC and NEPC patient derived xenografts displayed upregulated RET transcript and RET pathway activity. Pharmacologically inhibiting RET kinase in NEPC models dramatically reduced tumor growth and cell viability in mouse and human NEPC models. Our results suggest that targeting RET in NEPC tumors with high RET expression may be a novel treatment option.
2020-05-29 | PXD012971 | Pride
Project description:Most patients with prostate adenocarcinoma develop resistance to therapies targeting the androgen receptor (AR). Consequently, a portion of these patients develop AR-indifferent neuroendocrine prostate cancer (NEPC), a rapidly progressing cancer with limited therapies and poor survival outcomes. Current research to understand the transition to NEPC suggests a model of lineage plasticity, where AR-dependent luminal tumors progress towards an AR-independent neuroendocrine (NE) lineage. Genetic analysis of human NEPC showed a frequent loss of RB1 and TP53, and in experimental models, loss of both genes facilitates the transition to a NE lineage. Transcriptomics has shown the lineage transcription factors ASCL1 and NEUROD1 are present in NEPC. In this study, we used genetically engineered mouse models harboring Cre induced loss of Rb1 and Trp53 with MycT58A overexpression (RPM), to model prostate adenocarcinoma with NEPC by establishing prostate organoids that are subsequently used to generate subcutaneous allograft tumors. These tumors are heterogeneous and display adenocarcinoma, squamous, and NE features. ASCL1 and NEUROD1 are expressed within the NE defined regions, with ASCL1 being more predominant than NEUROD1. Genetic loss of ASCL1 in this model does not decrease tumor growth or tumor formation, however, there is a notable decrease in NE identity and an increase in cells with basal-like cell identity. This study provides a new in vivo model to study the progression of prostate cancer to NEPC and establishes the requirement for ASCL1 in driving neuroendocrine differentiation.
2024-08-28 | GSE264598 | GEO