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Links from GEO DataSets

Items: 20

1.

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
2.

Validation of a genomic classifier for prediction of metastasis following postoperative radiation therapy.

(Submitter supplied) To test the hypothesis that a genomic classifier (GC) would predict biochemical failure (BF) and distant metastasis (DM) in men receiving radiation therapy (RT) after radical prostatectomy (RP).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
139 Samples
Download data: CEL
Series
Accession:
GSE72291
ID:
200072291
3.

A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy

(Submitter supplied) To determine whether adding Decipher to standard risk stratification tools (CAPRA-S and Stephenson nomogram) improves accuracy in prediction of metastatic disease within 5 years after surgery in men with adverse pathologic features after RP.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
182 Samples
Download data: CEL
Series
Accession:
GSE62667
ID:
200062667
4.

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
5.

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
6.

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
7.

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
8.

Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men

(Submitter supplied) Radical prostatectomy (RP) is a primary treatment option for men with intermediate- and high-risk prostate cancer. Although many are effectively cured with local therapy alone, these men are by definition at higher risk of adverse pathologic features. It has been shown previously that genomic data can be used to predict tumor aggressiveness. Our objective was to evaluate genomic data and it's relationship to pathological stage and grade in a cohort of men that received no treatment other than radical prostatectomy surgery.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
260 Samples
Download data: CEL, CSV
Series
Accession:
GSE79957
ID:
200079957
9.

Conditionally reprogrammed cells from patient-derived xenograft to model neuroendocrine prostate cancer development

(Submitter supplied) Treatment-emergent neuroendocrine prostate cancer (t-NEPC) is a lethal subtype of advanced prostate cancer that develops via NE transdifferentiation of prostate adenocarcinomas in response to androgen receptor (AR)-inhibition therapy. Study of t-NEPC has been hampered by a lack of clinically relevant models. We previously established a unique and first-in-field patient-derived xenograft (PDX) model of adenocarcinoma (LTL331)-to-NEPC (LTL331R) transdifferentiation. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
4 Samples
Download data: TXT
10.

A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy

(Submitter supplied) BACKGROUND: Due to their varied outcomes, men with biochemical recurrence (BCR) following radical prostatectomy (RP) present a management dilemma. Here, we evaluate Decipher, a genomic classifier (GC), for its ability to predict metastasis following BCR. METHODS: The study population included 85 clinically high-risk patients who developed BCR after RP. Time-dependent receiver operating characteristic (ROC) curves, weighted Cox proportional hazard models, and decision curves were used to compare GC scores to Gleason score (GS), PSA doubling time (PSAdT), time to BCR (ttBCR), the Stephenson nomogram, and CAPRA-S for predicting metastatic disease progression. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
85 Samples
Download data: CEL
Series
Accession:
GSE51066
ID:
200051066
11.

Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy

(Submitter supplied) To test whether a genomic classifier (GC) predicts development of metastatic disease in patients treated with salvage radiation therapy (SRT) after radical prostatectomy (RP).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
70 Samples
Download data: CEL
Series
Accession:
GSE79915
ID:
200079915
12.

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
13.

ONECUT2 Drives Neuroendocrine Prostate Cancer Through Hypoxia Signaling

(Submitter supplied) To determine the underlying mechanism of ONECUT2 in prostate cancer hypoxia, we conducted a series of RNA-Seq and ChIP-Seq experiments in LNCaP and PC3 cells under normoxia and hypoxia conditions. We did RNA-Seq in LNCaP cells with or without OC2 overexpression and in PC3 cells with or without OC2 knockdown. We used anti-Flag antibody to perform the ChIP-Seq experiment in PC3 cells with Flag and OC2 fusion protein overexpression. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL11154
28 Samples
Download data: BW, TXT
14.

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
15.

miRNA expression profiling of prostate cancer (PCa) samples

(Submitter supplied) Investigation of miRNA expression profiles of prostate cancer (PCa) and normal prostatic samples
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL13264
48 Samples
Download data: TXT
Series
Accession:
GSE142288
ID:
200142288
16.

Prostate cancer organotypic slice cultures (OSC) treated with E2 or DHT

(Submitter supplied) Organotypic slice cultures from prostate cancer patients were generated and treated with or without 17b-estradiol or DHT to study estrogen and androgen signalling pathways.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL21185
2 Samples
Download data: TXT
Series
Accession:
GSE142287
ID:
200142287
17.

Gene expression profile of 22RV1 prostate cancer cells upon SPINK1 knockdown

(Submitter supplied) Serine Peptidase Inhibitor, Kazal type 1 (SPINK1) overexpression represents the second-largest prostate cancer (PCa) subtype associated with increased risk of biochemical recurrence and poor prognosis. To determine the pathways regulated by SPINK1 in 22RV1 prostate cancer cells, we performed shRNA mediated knockdown of SPINK1 using lentiviral constructs. Scrambled shRNA was used as a control. pGIPZ constructs against SPINK1 (shSPINK1-1, shSPINK1-2, shSPINK1-3) and control shScrambled construct were purchased from Dharmacon.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL25978
3 Samples
Download data: TXT
Series
Accession:
GSE124345
ID:
200124345
18.

The effect of knock-down of neuroblastoma associated lncRNA on transcriptome

(Submitter supplied) As part of functional characterization of neuroblastoma associated lncRNA HOXD-AS1, we performed its knock-down in neuroblastoma cell line SH-SY5Y, which resulted in modulation of expression levels of a set of genes involved in angiogenesis and inflammation, the hallmarks of metastatic cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
12 Samples
Download data: TXT
Series
Accession:
GSE40680
ID:
200040680
19.

Epigenomic profiling of neuroendocrine prostate cancer and prostate adenocarcinoma xenografts

(Submitter supplied) We profiled the epigenomes of neuroendocrine prostate cancer and prostate adenocarcinoma patient-derived xenografts using ChIP-seq for transcription factors and histone modifications.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
104 Samples
Download data: BED, BW
Series
Accession:
GSE161948
ID:
200161948
20.

AmpliSeq Transcriptome Analysis of Human Prostate Cancer Cells With or Without Overt SRRM4 Expression

(Submitter supplied) Prostate adenocarcinoma (AdPC) cells can undergo lineage switching to neuroendocrine cells and develop into therapy-resistant neuroendocrine prostate cancer (NEPC). While genomic/epigenetic alterations are shown to induce neuroendocrine differentiation via an intermediate stem-like state, RNA splicing factor SRRM4 can transform AdPC cells into NEPC xenografts through a direct neuroendocrine transdifferentiation mechanism. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17303
6 Samples
Download data: TXT
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