Similar studies for GEO DataSets (Select 200006604) - GEO DataSets

Select item 2000066041.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000685552.

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

Select item 2000069193.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000067524.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000066085.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000066066.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000066057.

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:: GPL93 GPL8300 GPL92
75 Samples

Download data: CEL

Series

Accession:: GSE6605

ID:: 200006605

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 25478.

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

DataSet

Accession:: GDS2547

ID:: 2547

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 25469.

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

DataSet

Accession:: GDS2546

ID:: 2546

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 254510.

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

DataSet

Accession:: GDS2545

ID:: 2545

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 20001052511.

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

Select item 20000386812.

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

Select item 174613.

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

Select item 20000934714.

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

Select item 20000802615.

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

Select item 20001002816.

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

Select item 20000770317.

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

Select item 20000331218.

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

Select item 20000329419.

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

Select item 20000681120.

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

PubMed Full text in PMC Similar studies Analyze with GEO2R

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