GEO DataSets

(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) 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) We demonstrate that comparative genomic hybridisation (CGH) onto cDNA microarrays may be used to carry out genome-wide screens for regions of genetic loss, including homozygous (complete) deletions that may represent the possible location of tumour suppressor genes in human cancer. Screening of the prostate cancer cell lines LNCaP, PC3 and DU145 allowed the mapping of specific regions where genome copy number appeared altered and led to the identification of two novel regions of complete loss at 17q21.31 (500 kb spanning STAT3) and at 10q23.1 (50-350 kb spanning SFTPA2) in the PC3 cell line. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL3898

8 Samples

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(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

(Submitter supplied) Primary and metastatic tumor growth induce host tissue responses that are believed to support tumor progression. Understanding the molecular changes within the tumor microenvironment during tumor progression may therefore be relevant not only for discovering potential therapeutic targets but also for identifying putative molecular signatures that may improve tumor classification and predict clinical outcome. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Dataset:

GDS2443

Platform:

GPL4371

10 Samples

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Analysis of laser-microdissected stromal cells from prostate intraepithelial neoplasias and invasive prostate tumors. Results provide insight into the response of stromal cells to tumor invasion.

Organism:

Mus musculus

Type:

Expression profiling by array, log2 ratio, 2 disease state sets

Platform:

GPL4371

Series:

GSE5945

10 Samples

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(Submitter supplied) Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by array

Platforms:

GPL3355 GPL3341

16 Samples

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(Submitter supplied) Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL3355

8 Samples

Download data

(Submitter supplied) Abstract: BACKGROUND: The aim of this study was to characterize gene expression and DNA copy number profiles in androgen sensitive (AS) and androgen insensitive (AI) prostate cancer cell lines on a genome-wide scale. METHODS: Gene expression profiles and DNA copy number changes were examined using DNA microarrays in eight commonly used prostate cancer cell lines. Chromosomal regions with DNA copy number changes were identified using cluster along chromosome (CLAC). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1699

Platform:

GPL3341

8 Samples

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Analysis of androgen sensitive (AS) and insensitive (AI) prostate cancer cell lines. Despite the wide use of these cell lines as model systems, a global genotypic characterization of these cell lines is currently lacking. Results identify differences in gene expression profiles.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 8 cell line, 2 cell type sets

Platform:

GPL3341

Series:

GSE4016

8 Samples

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(Submitter supplied) Glioblastoma multiforme shows multiple chromosomal aberrations, the impact of which on gene expression remains unclear. To investigate this relationship and to identify putative initiating genomic events, we integrated a paired copy number and gene expression survey in glioblastoma using whole human genome arrays. Loci of recurrent copy number alterations were combined with gene expression profiles obtained on the same tumor samples. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array; Expression profiling by genome tiling array

Platforms:

GPL2879 GPL6480

60 Samples

Download data: TXT

(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) 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) The incidence of prostate cancer is frequent, occurring in almost one-third of men older than 45 years. Only a fraction of the cases reach the stages displaying clinical significance. Despite the advances in our understanding of prostate carcinogenesis and disease progression, our knowledge of this disease is still fragmented. Identification of the genes and patterns of gene expression will provide a more cohesive picture of prostate cancer biology. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

4 related Platforms

444 Samples

Download data: CEL, CHP, TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS2545 GDS2546 GDS2547

Platforms:

GPL93 GPL92 GPL8300

504 Samples

Download data: CEL

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL93 GPL8300 GPL92

181 Samples

Download data: CEL

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL8300 GPL93 GPL92

196 Samples

Download data: CEL

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL8300 GPL93 GPL92

52 Samples

Download data: CEL

Analysis of metastatic prostate tumors and primary prostate tumors. Normal tissue adjacent to the tumor and normal donor tissue also examined. Metastasis reflects the most adverse clinical outcome. Results provide insight into the molecular mechanisms underlying the metastatic process.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 4 tissue sets

Platform:

GPL93

Series:

GSE6919

164 Samples

Download data: CEL

Analysis of metastatic prostate tumors and primary prostate tumors. Normal tissue adjacent to the tumor and normal donor tissue also examined. Metastasis reflects the most adverse clinical outcome. Results provide insight into the molecular mechanisms underlying the metastatic process.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 4 tissue sets

Platform:

GPL92

Series:

GSE6919

167 Samples

Download data: CEL