GEO DataSets

(Submitter supplied) The aims of this study were to determine the impact of different levels of RNA degradation as well as to ascertain if the gene expression profiles obtained from bladder washing correlates to that obtained from the related bladder tumor. Keywords: RNA degradation, bladder washing, bladder tumor, bladder cancer

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL2767

16 Samples

Download data

(Submitter supplied) Using Affymetrix microarray technology we analyzed the gene expression profiles of the most important pathological categories of bladder cancer in order to detect potential marker genes. Applying an unsupervised cluster algorithm we observed clear differences between tumor and control samples, as well as between superficial and muscle invasive tumors. According to cluster results, the T1 high grade tumor type presented a global genetic profile which could not be distinguished from invasive cases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 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) 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) Bladder tumours used to construct a tumour stage classifier Keywords = bladder cancer, disease stages, classification Keywords: other

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS183

Platform:

GPL80

40 Samples

Download data: CEL

(Submitter supplied) Expression profiling of superficial bladder tumours to delineate the expression pattern differences between non-recurring and recurring tumours. Keywords = bladder cancer, superficial, recurrence, prediction Keywords: other

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL80

31 Samples

Download data: CEL

Identification of clinically relevant subclasses of bladder carcinoma. Three major stages identified, Ta, T1 and T2-4. Ta tumors further classified into subgroups. A 32-gene molecular classifier was built.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 3 disease state, 4 tissue sets

Platform:

GPL80

Series:

GSE89

40 Samples

Download data: CEL

(Submitter supplied) The whole-genome oligonucleotide microarray analysis of peripheral blood samples can contribute to the determination of distant blood markers of local pathophysiological alterations in colorectal diseases. These markers can lead to alternative screening procedures. Keywords: whole genomic expression

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

30 Samples

Download data: CEL

(Submitter supplied) Gene expression profile based classification of colonic diseases are suitable for identification of diagnostic mRNA expression patterns which can establish the basis of a new molecular biological diagnostic method Keywords: whole genomic expression

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

33 Samples

Download data: CEL

(Submitter supplied) To obtain insight into the molecular basis of ductal carcinoma in situ (DCIS) and its progression by infiltrating surrounding tissue, we have performed cellular-based gene expression analysis of pure DCIS and DCIS with co-existing invasive ductal carcinoma (IDC) and compared the histological and molecular aspects between these morphologically identical lesions seeking to find key genes involved in DCIS progression. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1930

60 Samples

Download data

(Submitter supplied) Detection, treatment, and prediction of outcome for lung cancer patients increasingly depend on a molecular understanding of tumor development and sensitivity of lung cancer to therapeutic drugs. The application of genomic technologies, such as microarray, is widely used to monitor global gene expression and has built up invaluable information and knowledge, which is essential to the discovery of new insights into the mechanisms common to cancer cells, resulting in the identification of unique, identifiable signatures and specific characteristics. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

66 Samples

Download data: CEL, EXP

(Submitter supplied) 1.) Background: Gene expression profiling is a highly sensitive technique which is used for profiling of tumor samples for medical prognosis. RNA quality and degradation influences the analysis results of gene expression profiles. The impact of this influence on the profiles and its medical impact is not fully understood. As patient samples are very valuable for clinical studies, it is necessary to establish criteria for the RNA quality to use these samples in later analysis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

12 Samples

Download data: TXT

(Submitter supplied) The gene expression profile of blood drawn from healthy individuals was studied over a period of six months, at five time points. The gene expression profiles appeared to be constant over one month and to slightly vary over three months. A small proportion of genes were found to be differentially regulated according to gender. Differential gene regulation by age (in subjects 25–55 years of age versus subjects > 55 years of age) was not observed. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

109 Samples

Download data: CEL