GEO DataSets

Expression profiling of prostate cancer tumors that are benign, clinically localized, or metastatic and refractory to hormones. Results compared to those obtained from immunoblotting to identify concordant changes in mRNA and protein levels.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 3 disease state sets

Platform:

GPL570

Series:

GSE3325

19 Samples

Download data: CEL

(Submitter supplied) An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1439

Platform:

GPL570

19 Samples

Download data: CEL

(Submitter supplied) Genome-wide copy number changes were monitored using array comparative genomic hybridization (aCGH) of laser-capture microdissected prostate cancer samples spanning stages of prostate cancer progression including precursor lesions, clinically localized disease and metastatic disease. A total of 62 specific cell populations from 38 patients were profiled. Keywords: Disease state analysis using array-based comparatavie genomic hybridization

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL2013

64 Samples

Download data: GPR

(Submitter supplied) To identify molecular changes that occur during prostate tumor progression, we have characterized a series of prostate cancer cell lines isolated at different stages of tumorigenesis from C3(1)/Tag transgenic mice.

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by array

Platform:

GPL20562

19 Samples

Download data: GPR

(Submitter supplied) Using laser capture microdissection to isolate over 100 specific cell populations, we report the profiling of prostate cancer progression from benign epithelium to metastatic disease. By analyzing these expression signatures in the context of over 15,000 “molecular concepts”, or sets of biologically connected genes, we generated an integrative model of prostate cancer progression. Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3289

Platform:

GPL2013

104 Samples

Download data: GPR

Analysis of LCM-captured epithelial cell populations representing prostate cancer progression from benign epithelium to metastatic disease. Stromal cell populations also examined. Results provide insight into molecular mechanisms underlying the different aspects of prostate cancer progression.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 2 cell type, 6 disease state, 14 other sets

Platform:

GPL2013

Series:

GSE6099

104 Samples

Download data: GPR

(Submitter supplied) we analyzed the gene expression profiles of Mat-Lylu cell lines (in duplicate) compared to G cell lines (in duplicate) using Affymetrix tools and dChip software. The objective was to find metastasis-associated genes in prostate cancer, using this in vitro model. Keywords: cell line comparison

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Platform:

GPL85

4 Samples

Download data: CEL

(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

(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

(Submitter supplied) We analyzed the 10q22 amplification in advanced prostate cancer and subjected the genes located in the common amplified region to an RNAi screen. We found vinculin as the most promising candidate gene and analyzed its protein expression on more than 400 prostate cancers by using the tissue micrarray (TMA) technology. We discovered a strong correlation between amplification of the vinculin gene and increased protein expression. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL4091

4 Samples

Download data: TXT