GEO DataSets

(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:

GPL3834 GPL3836

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) African-American (AA) men experience increased risk of developing prostate cancers as well as increased mortality following treatment as compared to European-American (EA) men. The aim of our study was to identify biological factors with potential to predispose AA men to prostate tumor progression and metastasis. High-throughput microarrays were used to investigate differences in global gene expression comparing the two groups.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

27 Samples

Download data: CEL

(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) Prostate cancer is the second leading cause of cancer death in the United States and Europe. Diagnosis and risk estimation of cancer recurrence is often critical with the common clinicopathologic parameters of prostate-specific antigen, tumor stage and grade. Therefore it is mandatory to develop new diagnostic and prognostic markers for prostate cancer. miRNAs have been shown to be novel markers in a series of other cancer types. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6955

24 Samples

Download data: TIFF, XML

(Submitter supplied) In this study, comparison of gene expression profiles in benign epithelia from men with prostate cancer to those of men without prostate cancer reveal differences in several genes associated with prostate cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL4133 GPL10931

29 Samples

Download data: TXT

(Submitter supplied) Current prostate cancer prognostic models are based on pre-treatment prostate-specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict clinical disease progression. Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models. We analyzed a Swedish Watchful Waiting cohort (1977–1999) with up to 30 years of clinical follow up using a novel method for gene expression profiling. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5474

281 Samples

Download data: TXT

(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:

GPL3289 GPL2695 GPL3044

112 Samples

Download data

(Submitter supplied) Prostate cancer is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. The behavior of prostate cancer can be considered a direct or indirect result of aberrant alterations of gene expression in prostate epithelial cells. Identification of the patterns of gene-expression alterations that are related to the aggressiveness of prostate cancers will greatly assist the development of tools for early detection of prostate cancers with poor clinical outcome and identification of targets for future therapeutic intervention. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL98

30 Samples

Download data: TXT

(Submitter supplied) Prostate tumors are complex entities composed of malignant cells mixed and interacting with nonmalignant cells. However, molecular analyses by standard gene expression profiling are limited because spatial information and nontumor cell types are lost in sample preparation. We scored 88 prostate specimens for relative content of tumor, benign hyperplastic epithelium, stroma, and dilated cystic glands. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL8300

88 Samples

Download data: CEL

(Submitter supplied) Human prostate cancer tissues analyses Keywords: other

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL8300

88 Samples

Download data: CEL