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Links from GEO DataSets

Items: 20

1.

Genome-wide characterization of REST binding regions in LNCaP prostate cancer cells

(Submitter supplied) Transcriptional regulator REST plays a key role in repressing neuronal specific genes in prostate cancer and other non-neuronal tissues. Moreover, loss of REST is observed in neuroendocrine prostate tumors. Here, we use ChIP-seq analysis to study genome–wide REST occupied regions in the prostate cancer cell line, LNCaP. REST occupied regions were then correlated to gene expression changes occurring between prostate adenocarcinoma and neuroendocrine prostate tumors in vivo.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
4 Samples
Download data: WIG
Series
Accession:
GSE119385
ID:
200119385
2.

RNA splicing factors SRRM3 and SRRM4 distinguish molecular phenotypes of castration-resistant neuroendocrine prostate cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by array
Platforms:
GPL21145 GPL24676
18 Samples
Download data: TXT
Series
Accession:
GSE158599
ID:
200158599
3.

RNA splicing factors SRRM3 and SRRM4 distinguish molecular phenotypes of castration-resistant neuroendocrine prostate cancer [methylation]

(Submitter supplied) Neuroendocrine (NE) differentiation in metastatic castration-resistant prostate cancer (mCRPC) usually develops through cellular plasticity. We recently characterized two mCRPC phenotypes with NE features; Androgen receptor (AR)-positive, NE-positive amphicrine prostate cancer (AMPC) and AR-negative small cell or neuroendocrine prostate cancer (SCNPC). Here, we interrogate the RE-1 silencing transcription factor (REST) pathway in mCRPC and demonstrate that SRRM3 has analogous functions to SRRM4 and mediates NE differentiation through alternative splicing of REST. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
2 Samples
Download data: TXT
Series
Accession:
GSE158598
ID:
200158598
4.

RNA splicing factors SRRM3 and SRRM4 distinguish molecular phenotypes of castration-resistant neuroendocrine prostate cancer [RNA-seq]

(Submitter supplied) Neuroendocrine (NE) differentiation in metastatic castration-resistant prostate cancer (mCRPC) usually develops through cellular plasticity. We recently characterized two mCRPC phenotypes with NE features; Androgen receptor (AR)-positive, NE-positive amphicrine prostate cancer (AMPC) and AR-negative small cell or neuroendocrine prostate cancer (SCNPC). Here, we interrogate the RE-1 silencing transcription factor (REST) pathway in mCRPC and demonstrate that SRRM3 has analogous functions to SRRM4 and mediates NE differentiation through alternative splicing of REST. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
16 Samples
Download data: TXT
5.

Reciprocal YAP1 loss and INSM1 expression in neuroendocrine prostate cancer

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is a rare but aggressive histologic variant of prostate cancer that responds poorly to androgen deprivation therapy. Hybrid NEPC-adenocarcinoma (AdCa) tumors are common, often eluding accurate pathologic diagnosis and requiring ancillary markers for classification. We recently performed an outlier-based meta-analysis across a number of independent gene expression microarray datasets to identify novel markers that differentiate NEPC from AdCa, including up-regulation of Insulinoma-associated protein 1 (INSM1) and loss of Yes-associated protein 1 (YAP1). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
24 Samples
Download data: TXT
6.

High fidelity patient-derived xenografts for accelerating prostate cancer discovery and drug development

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by genome tiling array
Platforms:
GPL14550 GPL10123 GPL10152
56 Samples
Download data: TXT
Series
Accession:
GSE41193
ID:
200041193
7.

Expression data from Neuroendocrine Prostate Cancer and Primary Small Cell Prostatic Carcinoma

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
33 Samples
Download data: CEL
Series
Accession:
GSE104786
ID:
200104786
8.

Identification of DEK as a potential therapeutic target for Neuroendocrine prostate cancer

(Submitter supplied) Introduction: Neuroendocrine prostate cancer (NEPC) is an aggressive subtype of prostate cancer, exhibiting rapid progression and is unresponsive to hormone therapy. Reliable prognostic assays and more effective treatments are critically required. However, the research of NEPC has been hampered by a lack of clinically relevant in vivo models. Recently, we successfully developed a first-in-field patient tissue-derived xenograft model of complete neuroendocrine transdifferentiation from prostate adenocarcinoma. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
4 Samples
Download data: TXT
Series
Accession:
GSE61214
ID:
200061214
9.

High fidelity patient-derived xenografts for accelerating prostate cancer discovery and drug development (expression)

(Submitter supplied) Prostate cancer research is hampered by a lack of preclinical models which accurately reproduce clinical heterogeneity. We have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from prostate cancer biopsy tissue, and also new lines from metastatic tissue. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
32 Samples
Download data: PDF, TXT
Series
Accession:
GSE41192
ID:
200041192
10.

High fidelity patient-derived xenografts for accelerating prostate cancer discovery and drug development (aCGH)

(Submitter supplied) Prostate cancer research is hampered by a lack of preclinical models which accurately reproduce clinical heterogeneity. We have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from prostate cancer biopsy tissue, and also new lines from metastatic tissue. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platforms:
GPL10152 GPL10123
24 Samples
Download data: PDF, TXT
Series
Accession:
GSE41188
ID:
200041188
11.

MUC1-C Drives Lineage Plasticity in Progression to Neuroendocrine Prostate Cancer

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is a highly aggressive malignancy of increasing prevalence with an unmet need for targeted therapeutic approaches. The oncogenic MUC1-C protein is overexpressed in castration-resistant prostate cancer (CRPC) and NEPC; however, there is no known role for MUC1-C in driving lineage plasticity to these advanced PC phenotypes. The present studies demonstrate that upregulation of MUC1-C in androgen-independent (AI) PC cells suppresses androgen receptor (AR) axis signaling and induces the neural BRN2 transcription factor by a previously unrecognized MYC-mediated mechanism. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
12 Samples
Download data: CSV
12.

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

(Submitter supplied) The neuroendocrine (NE) phenotype is associated with the development of metastatic castration-resistant prostate cancer (CRPC). Our objective was to characterize the molecular features of the NE phenotype in CRPC. Expression of chromogranin A (CHGA), synaptophysin (SYP), androgen receptor (AR), and prostate-specific antigen (PSA) was analyzed by immunohistochemistry (IHC) in 155 CRPC metastases from 50 patients and in 24 LuCaP prostate cancer patient-derived xenografts (PDX). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15659
95 Samples
Download data: TXT
Series
Accession:
GSE66187
ID:
200066187
13.

Molecular profiling stratifies diverse phenotypes of treatment-refractory metastatic castration-resistant prostate cancer

(Submitter supplied) The widespread and long-term use of potent therapies designed to repress androgen receptor (AR) signaling is changing the molecular and phenotypic landscapes of prostate cancer. We conducted molecular profiling of metastatic castration-resistant prostate cancer (mCRPC) patient specimens and patient-derived xenograft models and identified five distinct mCRPC phenotypes. Herein, we characterize an AR-low phenotype that has low AR expression with concomitant decreases in a subset of AR regulated genes, and an amphicrine phenotype that has both AR and neuroendocrine activity in the same cell. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
153 Samples
Download data: TXT
14.

A heterochromatin gene signature unveils HP1α mediating neuroendocrine prostate cancer development and aggressiveness

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is a lethal subtype of prostate cancer (PCa) with hyperchromatic nuclei being a distinguishing histopathological feature. Here we show that, underlying this distinct nuclear structure, heterochromatin related genes are significantly enriched in NEPC. Among them, heterochromatin protein 1α (HP1α) expression is increased early in NE transdifferentiation and is consistently elevated in clinical NEPC samples. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL21185
13 Samples
Download data: TXT
Series
Accession:
GSE105033
ID:
200105033
15.

Characterizing the molecular features of ERG-positive tumors in primary and castration resistant prostate cancer

(Submitter supplied) This study examined ERG expression in primary PCa and CRPC. We have identified altered levels of inflammatory mediators associated with ERG expression and a novel ERG-associated protein, DCLK1, which may play a role in primary PCa progression to metastatic CPRC.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15659
76 Samples
Download data: TXT
Series
Accession:
GSE74367
ID:
200074367
16.

Validation of a genomic classifier that predicts metastasis following radical prostatectomy in at risk patient population

(Submitter supplied) Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
235 Samples
Download data: CEL
Series
Accession:
GSE62116
ID:
200062116
17.

The placental gene PEG10 promotes progression of neuroendocrine prostate cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array; Expression profiling by array
Platforms:
GPL14550 GPL10152
20 Samples
Download data: TXT
Series
Accession:
GSE59986
ID:
200059986
18.

The placental gene PEG10 promotes progression of neuroendocrine prostate cancer [aCGH]

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is proliferative, invasive, and untreatable. Its molecular pathogenesis remains poorly understood but appears to require TP53 and RB1 aberration. In this study we modeled the development of NEPC from conventional prostatic adenocarcinoma using a unique patient-derived xenograft and identified up-regulation of the placental gene PEG10. We found that the androgen receptor and the E2F/RB pathway dynamically regulate distinct post-transcriptional and post-translational isoforms of PEG10 at different stages of NEPC development. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL10152
6 Samples
Download data: TXT
Series
Accession:
GSE59985
ID:
200059985
19.

The placental gene PEG10 promotes progression of neuroendocrine prostate cancer [Expression]

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is proliferative, invasive, and untreatable. Its molecular pathogenesis remains poorly understood but appears to require TP53 and RB1 aberration. In this study we modeled the development of NEPC from conventional prostatic adenocarcinoma using a unique patient-derived xenograft and identified up-regulation of the placental gene PEG10. We found that the androgen receptor and the E2F/RB pathway dynamically regulate distinct post-transcriptional and post-translational isoforms of PEG10 at different stages of NEPC development. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
14 Samples
Download data: TXT
Series
Accession:
GSE59984
ID:
200059984
20.

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy

(Submitter supplied) Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis. Methods: A nested case-control design was used to select 639 patients from the Mayo Clinic tumor registry that underwent radical prostatectomy between 1987 and 2001. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
545 Samples
Download data: CEL, TXT
Series
Accession:
GSE46691
ID:
200046691
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