GEO DataSets

(Submitter supplied) Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing approximately 26,000 genes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL3044 GPL3289 GPL2695

112 Samples

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(Submitter supplied) Gene expression profiling of surgical biopsies from 74 breast cancer patients of different subtypes from Hamburg dataset.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

74 Samples

Download data: CEL

(Submitter supplied) The dataset comprises array CGH data of 64 prostate cancer specimens performed on Stanford cDNA microarrays, to accompany the study of J Lapointe et al (2007). For each array, Channel 2 represents Cy5-labeled prostate genomic DNA, and Channel 1 Cy3-labeled normal male genomic DNA. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set, array CGH

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platforms:

GPL4639 GPL4640

64 Samples

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(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) We perform RNA-seq on matched orthotopic murine primary and metastatic prostate cancer samples to identify differential gene expressions

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13112

8 Samples

Download data: TXT

(Submitter supplied) Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diagnosis and over treatment. In this study we have performed a genome expression profiling of tumor tissue specimens from 36 patients with prostate cancer to identify transcripts that delineate aggressive and indolent cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

50 Samples

Download data: CEL

(Submitter supplied) In this study, we profiled gene expressions on 20 biopsy tissues of early stage breast carcinoma using Applied Biosystem’s Human Genome Survey Microarrays. Two main previously defined clinically relevant subtypes of breast tumors, Luminal A (longest survival time) and Basal (shortest survival time) were identified. Statistical analysis identified 1210 genes as signature genes characterizing the two subtypes of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL1843 GPL1426 GPL1708

80 Samples

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(Submitter supplied) The highly intra-tumoral heterogeneity and complex cell origination of PCa greatly limited the significance of traditional bulk RNA sequencing in finding better biomarker for disease stratification. In the context of these sequencing strategies, significant gene expression differences in specific cell population might be normalized or even shaded by genes in those less “important” but large in amount cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20795

2 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) Twenty-nine radical prostatectomy samples were laser capture microdissected (LCM) to obtain the most common Gleason patterns (patterns 3, 4, and 5) and matched benign adjacent luminal prostate epithelial cells. We performed cDNA microarrays on matched cancer and adjacent normal samples and identified an 86-gene model capable of distinguishing low Gleason grade (pattern 3) from high Gleason grade (pattern 4 and 5) cancers, which contributes a set of potential targets for modulating the development and progression of the lethal prostate cancer phenotype. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2171

Platforms:

GPL3836 GPL3834

32 Samples

Download data: GPR

Analysis of prostate adenocarcinoma specimens with Gleason patterns 3, 4, or 5. Adenocarcinoma specimens obtained by radical prostatectomy. Results identify molecular alterations underlying prostate cancer grades.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 3 disease state sets

Platform:

GPL3834

Series:

GSE5132

31 Samples

Download data: GPR

(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) To better understand the molecular mechanism that underlay tumorigenesis and progression of prostate cancer (PCa), we studied the gene expression profiles of sixteen PCa compared to their matched normal tissues. Using Significance Analysis of Microarrays, we identified 53 genes differentially expressed that were more than 2 fold up- or down-regulated in at least 50 % of the tumors. Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1998

16 Samples

Download data: GPR

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

295 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

285 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 5 tumour samples Keywords: expression difference of cell types in tumour samples

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

10 Samples

Download data: CEL, CSV

(Submitter supplied) Gene expression profile of Transgenic Adenocarcinoma of the Mouse Prostate (TRAMP) reveals murine targets for preclinical development of human prostate cancer therapy In this study, we have generated an open source TRAMP microarray dataset to identify differentially expressed genes from human prostate cancer that have concordant expression in TRAMP tumors, and thereby represent lead targets for preclinical therapy development. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

18 Samples

Download data: CEL

(Submitter supplied) To characterize the molecular features of clinical (Hormone-Refractory Prostate Cancers) HRPCs, we generated the precise gene-expression profiles of 25 clinical HRPCs and 10 hormone-sensitive prostate cancers (HSPCs) by genome-wide cDNA microarrays combining with laser microbeam microdisection. Keywords: disease status analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4747

35 Samples

Download data: TXT

(Submitter supplied) Screening of differentially expressed genes between benign and prostate tumors with respect to different prostate cancer gleason score 6 and 8 Keywords: disease subtype analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL3050

65 Samples

Download data: GPR

(Submitter supplied) The identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL91

35 Samples

Download data: CEL, RPT, TXT