GEO DataSets

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

(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:

GPL8300 GPL93 GPL92

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

Platform:

GPL2891

31 Samples

Download data: TXT

(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:

GPL93 GPL92 GPL8300

75 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 GPL92 GPL93

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:

GPL8300

Series:

GSE6919

171 Samples

Download data: CEL

(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) 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

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

(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) 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) 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

(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) 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

(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

(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