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Links from GEO DataSets

Items: 20

1.

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
2.

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
3.

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:
GPL8300 GPL93 GPL92
504 Samples
Download data: CEL
Series
Accession:
GSE6919
ID:
200006919
4.

CodeLink Expression Data from primary prostate tumor and prostate tumor metastases

(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
Platform:
GPL2891
31 Samples
Download data: TXT
Series
Accession:
GSE6752
ID:
200006752
5.

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:
GPL93 GPL8300 GPL92
196 Samples
Download data: CEL
Series
Accession:
GSE6606
ID:
200006606
6.

Expression data from Metastatic 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:
GPL92 GPL93 GPL8300
75 Samples
Download data: CEL
Series
Accession:
GSE6605
ID:
200006605
7.

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
8.
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
9.
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
10.
Full record GDS2545

Metastatic prostate cancer (HG-U95A)

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:
GPL8300
Series:
GSE6919
171 Samples
Download data: CEL
11.

Gene expression profile of Transgenic Adenocarcinoma of the Mouse Prostate (TRAMP)

(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
Series
Accession:
GSE10525
ID:
200010525
12.

Gene profiling of primary cultures from human prostate tumors

(Submitter supplied) The histopathological and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably utilized to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of Prostate Benign Hyperplasia/Prostate Cancer or Bladder Carcinoma. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1746
Platform:
GPL96
30 Samples
Download data
Series
Accession:
GSE3868
ID:
200003868
13.
Full record GDS1746

Primary epithelial cell cultures from prostate tumors

Analysis of epithelial cell cultures from prostate tumor explants. Results identify an epithelial-restricted transcription profile that can be integrated with tumor grade and clinical information with the aim of discriminating indolent and aggressive prostate tumors that are histologically similar.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 7 disease state, 2 protocol sets
Platform:
GPL96
Series:
GSE3868
30 Samples
Download data
DataSet
Accession:
GDS1746
ID:
1746
14.

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
15.

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
16.

Low-Fat, Low-Glycemic Load Diet, Surgical Manipulation and Prostate Gene Expression

(Submitter supplied) Prostate Microarrays for two studies on Low-Fat, Low-Glycemic Load Diet intervention in prostate cancer and the effect of Surgical Manipulation on Prostate Gene Expression. Influence of Surgical Manipulation on Prostate Gene Expression: Implications for Molecular Correlates of Treatment Effects and Disease Prognosis "Measurements of tissue gene expression are increasingly used for disease stratification, clinical trial eligibility, and assessment of neoadjuvant therapy response. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4766
36 Samples
Download data: GPR
Series
Accession:
GSE10028
ID:
200010028
17.

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
18.

Expression Changes Relevant for Apoptosis in K562 Cells Co-Treated with Amifostine and Imatinib

(Submitter supplied) We had previously demonstrated an increased proapoptotic effect of Imatinib (STI571) in combination with Amifostine (AMI) in K562 cell line. In this study we used genomic scale gene expression profiling to monitor changes at transcriptional level in K562 cells during the treatment with AMI+STI571. We identified a transcriptional repressor of survival genes, known as BTF, which triggers a pro-apoptotic signal, potentially helpful to overcome the resistance to STI571. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2829
4 Samples
Download data
Series
Accession:
GSE3312
ID:
200003312
19.

Comparative study of gene expression in human colorectal cancer tissues and normal mucosa

(Submitter supplied) The purpose of our study was to better understand the genetic mechanism of oncogenesis for human colorectal cancer and to identify potential new tumour markers of use in clinical practice. Results: Comparing cancerous tissues with normal colonic mucosa we identified 584 known genes (3%) differentially expressed to a significant degree (p<0.001). Many of the transcripts that were more abundant in tumours than in non-neoplastic tissues appear to reflect important events for colon carcinogenesis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2829
24 Samples
Download data
Series
Accession:
GSE3294
ID:
200003294
20.

Molecular Features of Hormone-Refractory Prostate Cancer Cells by Genome-wide Gene-expression Profiles

(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
Series
Accession:
GSE6811
ID:
200006811
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