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Links from GEO DataSets

Items: 20

1.

Integrative Analysis of Genomic Aberrations Associated with Prostate Cancer Progression

(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
Series
Accession:
GSE8026
ID:
200008026
2.

Array CGH data of 64 prostate cancer specimens

(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:
GPL4640 GPL4639
64 Samples
Download data
Series
Accession:
GSE6469
ID:
200006469
3.

Genome-wide screening for complete genetic loss in PCa by CGH onto cDNA arrays

(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
Download data
Series
Accession:
GSE6138
ID:
200006138
4.

Amplification and overexpression of vinculin are associated with increased tumor cell proliferation and progression in advanced prostate cancer

(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
Series
Accession:
GSE24216
ID:
200024216
5.

Mouse Stromal Response to Tumor Invasion

(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
Download data
Series
Accession:
GSE5945
ID:
200005945
6.
Full record GDS2443

Prostate cancer progression model: stromal cell

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
Download data
7.

Genome-wide characterization of gene expression variations and DNA copy number changes in prostate cancer cell lines

(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:
GPL3341 GPL3355
16 Samples
Download data
Series
Accession:
GSE4396
ID:
200004396
8.

DNA copy number changes in prostate cancer cell lines

(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
Series
Accession:
GSE4017
ID:
200004017
9.

Gene expression variations in prostate cancer cell lines

(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
Download data
Series
Accession:
GSE4016
ID:
200004016
10.
Full record GDS1699

Androgen sensitive and insensitive prostate cancer cell lines: expression profiles

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
Download data
DataSet
Accession:
GDS1699
ID:
1699
11.

Integrative Genome-wide Analysis of Glioblastoma.

(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
Series
Accession:
GSE10878
ID:
200010878
12.

Gene expression profiling of prostate cancer

(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
Series
Accession:
GSE9347
ID:
200009347
13.

Mat-Lylu cell line compared to G cell line

(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
Series
Accession:
GSE7703
ID:
200007703
14.

caArray_becic-00235: Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy

(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
Series
Accession:
GSE68555
ID:
200068555
15.

Expression Data from Normal and Prostate Tumor Tissues

(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 GPL8300 GPL92
504 Samples
Download data: CEL
Series
Accession:
GSE6919
ID:
200006919
16.

Expression data from Normal Prostate Tissue Adjacent to Tumor

(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
Series
Accession:
GSE6608
ID:
200006608
17.

Expression data from Primary Prostate Tumor

(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
Series
Accession:
GSE6606
ID:
200006606
18.

Expression data from Normal Prostate Tissue free of any pathological alteration

(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 GPL92 GPL93
52 Samples
Download data: CEL
Series
Accession:
GSE6604
ID:
200006604
19.
Full record GDS2547

Metastatic prostate cancer (HG-U95C)

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
20.
Full record GDS2546

Metastatic prostate cancer (HG-U95B)

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
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