GEO DataSets

Analysis of prostate cancer primary tumors of known disease recurrence status. Results provide insight into the molecular mechanisms underlying recurrent and non-recurrent prostate cancer primary tumors.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL96

Series:

GSE25136

79 Samples

Download data: CEL

(Submitter supplied) The derivation of molecular signatures indicative of disease status and predictive of subsequent behavior could facilitate the optimal choice of treatment for prostate cancer patients. In this study, we conducted a computational analysis of gene expression profile data obtained from 79 cases, 39 of which were classified as having disease recurrence, to investigate whether advanced computational algorithms can derive more accurate prognostic signatures for prostate cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4109

Platform:

GPL96

79 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) 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

(Submitter supplied) Based on fuzzy logic selection and classification algorithms, our selection method measures the contribution of each gene for each of two pre-defined classes in order to find the best discrimination. This algorithm extracts and ranks the most pertinent markers, since it is based on feature weighting according to optimal error rate, sensitivity and specificity. We applied the fuzzy logic selection on four breast cancer microarray databases to obtain new gene signatures based on histological grade. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL18155

151 Samples

Download data: PAIR

(Submitter supplied) The histopathological and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably utilized to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of Prostate Benign Hyperplasia/Prostate Cancer or Bladder Carcinoma. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1746

Platform:

GPL96

30 Samples

Download data

Analysis of epithelial cell cultures from prostate tumor explants. Results identify an epithelial-restricted transcription profile that can be integrated with tumor grade and clinical information with the aim of discriminating indolent and aggressive prostate tumors that are histologically similar.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 7 disease state, 2 protocol sets

Platform:

GPL96

Series:

GSE3868

30 Samples

Download data

(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

(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) Background: New molecular biomarkers for prostate cancer (PC) prognosis are urgently needed. Ratio-based models are attractive, as they require no additional normalization. Here, we train and independently validate a novel 4-miRNA prognostic ratio model for PC. Patients and methods: By genome-wide miRNA expression profiling of PC tissue samples from 123 men who underwent radical prostatectomy (RP) (PCA123, training cohort), we identified six top candidate prognostic miRNAs and systematically tested their ability to predict post-operative biochemical recurrence (BCR). more...

Organism:

Homo sapiens

Type:

Expression profiling by RT-PCR

Platform:

GPL25151

136 Samples

Download data: TXT

(Submitter supplied) Prostate Microarrays for two studies on Low-Fat, Low-Glycemic Load Diet intervention in prostate cancer and the effect of Surgical Manipulation on Prostate Gene Expression. Influence of Surgical Manipulation on Prostate Gene Expression: Implications for Molecular Correlates of Treatment Effects and Disease Prognosis "Measurements of tissue gene expression are increasingly used for disease stratification, clinical trial eligibility, and assessment of neoadjuvant therapy response. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4766

36 Samples

Download data: GPR