GEO DataSets

(Submitter supplied) An integrated transcriptome-wide gene expression analysis, including differential gene expression analysis and weighted gene co-expression network analysis (WGCNA), was carried out based on transcriptomics data from a series of nine matched, histologically confirmed PCa and benign samples using the Affymetrix Clariom D Human array. The analysis identified a set of potential gene markers highly associated with tumor status (malignant vs. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL23126

18 Samples

Download data: CEL

(Submitter supplied) TMEFF2 is an androgen regulated transmembrane protein mainly restricted to brain and prostate, that functions as a tumor suppressor in prostate cancer (PCa). Studies using publically available prostate cancer (PCa) datasets, reveal changes in the expression of TMEFF2 with disease stage, supporting an important role of TMEFF2 in this disease. However, the role of TMEFF2 in the biology and pathogenesis of PCa is still unknown. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: TXT

(Submitter supplied) Background: Approaches based on expression signatures of prostate cancer (PCa) have been proposed to predict patients’ outcomes and response to treatments. The transcription factor NF-Y participates to the progression from benign epithelium to both localized and metastatic PCa and is associated with aggressive transcriptional profile. The gene encoding for NF-YA, the DNA-binding subunit of NF-Y, produces two alternatively spliced transcripts, NF-YAs and NF-YAl. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

9 Samples

Download data: TXT

(Submitter supplied) The clinical course of prostate cancer (PCa) is highly variable, demanding an individualized approach to therapy and robust prognostic markers for treatment decisions. We here present a random forest-based classification model to predict aggressive behaviour of PCa. DNA methylation changes between PCa cases with good or poor prognosis (discovery cohort with n=78) were used as input. The model was validated with data from two independent PCa cohorts from ICGC and TCGA. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL18809

70 Samples

Download data: IDAT, TXT

(Submitter supplied) Clinical manifestation of PCa is highly variable. Aggressive tumors require radical treatment, while clinically non-significant ones may be suitable for active surveillance. We have previously developed the prognostic ProstaTrend signature mainly on prostatectomy specimens by application of transcriptome‐wide microarray and RNA-sequencing (RNA-Seq) analyses. We used a cohort of 185 tumor specimens obtained from FFPE biopsies for RNA-Seq to facilitate the application of ProstaTrend at the beginning of routine PCa diagnostic. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

176 Samples

Download data: CSV, TXT

(Submitter supplied) We assessed transcriptome-wide gene expression in tissue specimens of PCa patients who underwent radical prostatectomy by next-generation sequencing (HiSeq 2000). We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

40 Samples

Download data: GTF, TXT

(Submitter supplied) We assessed differential gene expression in tissue specimens of PCa and BPH patients who underwent radical prostatectomy by next-generation sequencing (HiSeq 2000). We stratified PCa patients according to seven clinical risk groups based on Gleason Score (GS), the presence of regional lymph node metastases (pN) and the occurrence of death of disease (DoD): (i) very low risk (group V: GS<7, pN0), (ii) low risk (group L: GS=7, pN0), (iii) medium risk (group M: GS<=7, pN1), (iv) high risk survivors without lymph node infiltration (group H-s: GS>7, pN0), (v) high risk non-survivors without lymph node infiltration (group H-d: GS>7, pN0, DoD), (vi) high risk survivors with lymph node infiltration (group H+s: GS>7, pN1), (vii) high risk non-survivors with lymph node infiltration (group H+d: GS>7, pN1, DoD). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

64 Samples

Download data: GTF, TXT

(Submitter supplied) Prognostic biomarkers are useful to screen patients with clinically localized prostate cancer (PCa) who are at high risk of metastatic progression. The tumor transcriptome can be used to evaluate the aggressiveness of PCa and predict adverse patient outcomes. Genomewide gene expression levels were measured in primary tumor samples of 503 patients in a population‐based cohort.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14951

503 Samples

Download data: IDAT, TXT

(Submitter supplied) Our previous studies of proteomic-coupled-network analysis of AR protein interaction complexes (Paliouras et al., Integrative Biology, 2011) identified a number of proteins involved in RNA metabolism, specifically alternative RNA splicing. We selected two interacting RNA splicing proteins, SAM68 and DDX5 to examine RNA splicing events in prostate cancer (PCa). This analysis suggests a much more robust effect on RNA splicing with AR dictating either an exon-inclusion or -exclusion pathway. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

36 Samples

Download data: CEL

(Submitter supplied) Dysregulation of mRNA alternative splicing (AS) has been implicated in development and progression of hematological malignancies. How the global AS dysregulation contributes to the development and progression of solid tumors remains generally unclear. Recently, we show that many splicing factors (such as ESRP1 and KHDRBS3) are overexpressed in human primary prostate cancer (PCa) versus normal tissues. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

12 Samples

Download data: CSV

(Submitter supplied) Androgen deprivation therapy (ADT) is the main therapeutic regimen for patients with advanced prostate cancer (PCa). However, most treated patients invariably develop the castration-resistant disease (i.e., CRPC). Mechanisms underlying CRPC development and maintenance remain poorly understood. Recent studies have established splicing dysregulation as a new molecular hallmark of cancer. However, the functional and clinical relevance of such misregulation have not been systematically explored in PCa. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

32 Samples

Download data: CSV

(Submitter supplied) It has been well established that the transcription factor androgen receptor (AR) is obligatory for prostate cancer (PCa) development and progression, but the precise role of the AR in these processes is still unclear. To dissect the role of AR in shaping the transcriptome of prostate cancer cells, RNA-seq data were obtained from AR-positive LNCaP cells treated with various regimens to manipulate endogenous AR signaling. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: CSV

(Submitter supplied) We assessed transcriptome-wide gene expression in needle biopsies of PCa patients prior to radical prostatectomy (RP) by next-generation sequencing (HiSeq 2500). We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

16 Samples

Download data: GTF, TXT

(Submitter supplied) We assessed transcriptome-wide gene expression in tissue specimens of PCa patients who underwent radical prostatectomy (RP) by next-generation sequencing (HiSeq 2500). We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

13 Samples

Download data: GTF, TXT

(Submitter supplied) We assessed transcriptome-wide gene expression in tissue specimens of PCa patients who underwent radical prostatectomy by a custom expression microarray. We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL26898

164 Samples

Download data: GTF, TSV, TXT

(Submitter supplied) The aim of this study is to construct an inflammatory response-related genes (IRRGs) signature to monitor biochemical recurrence (BCR) and treatment effects in prostate cancer patients (PCa)

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

12 Samples

Download data: TXT

(Submitter supplied) Human prostate cancer C4-2 cells transfected with siRNAs (siNS and siRRM2). Knockdown were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer PC-3 cells stably overexpress RRM2. Overexpression of RRM2 were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer LNCaP cells stably overexpress RRM2. Overexpression of RRM2 were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer C4-2 cells treated with COH29 and DMSO. Cells were treated with DMSO, 10uM or 20 uM COH29 for 48 hours. Cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

6 Samples

Download data: XLSX