GEO DataSets

(Submitter supplied) 80 bladder tumors of different stages, grades and histologies analyzed on costom made cDNA arrays with 10638 gene elements Keywords: parallel sample

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1479

80 Samples

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(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 presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1479

Platform:

GPL96

60 Samples

Download data: CEL

Analysis of bladder biopsies of superficial transitional cell carcinomas with or without surrounding carcinoma in situ (CIS) lesions and muscle invasive carcinomas (mTCC). CIS is a common mTCC precursor. Results provide insight into which tumors in early stage bladder cancer are likely to progress.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 6 specimen sets

Platform:

GPL96

Series:

GSE3167

60 Samples

Download data: CEL

(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) Background Clinically useful molecular markers predicting the clinical course of patients diagnosed with non-muscle invasive bladder cancer are needed to improve treatment outcome. Methods We used custom designed oligonucleotide microarrays to validate four previously reported gene expression signatures for molecular diagnosis of disease stage and carcinoma in situ, and for predicting disease recurrence and progression. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4060

808 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

295 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

285 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 5 tumour samples Keywords: expression difference of cell types in tumour samples

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

10 Samples

Download data: CEL, CSV

(Submitter supplied) In order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene expression profiles and specific gene sets for each renal tumor type were identified. Gene expression was correlated to disease progression and a metastasis gene signature was derived. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

92 Samples

Download data: CEL, TXT

(Submitter supplied) Our goal was to identify gene expression features, using comprehensive gene expression profiling, that correlate with survival in conventional renal cell carcinomas (cRCCs). We profiled 177 cRCCs using high-density cDNA microarrays. Unsupervised hierarchical clustering analysis segregated cRCC into five gene expression subgroups. Expression subgroup was correlated with survival in long-term follow-up and was independent of grade, stage, and performance status. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

10 related Platforms

177 Samples

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(Submitter supplied) BACKGROUND Cisplatin-containing chemotherapy is the standard of care for patients with locally advanced and metastatic transitional cell carcinoma of the urothelium. The response rate is around 50% and tumor derived molecular prognostic markers are needed for estimation of response and survival. METHODS Affymetrix GeneChip expression profiling was carried out using tumor material from 30 patients. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

30 Samples

Download data: CEL

(Submitter supplied) There are limited studies attempting to correlate the expression changes in oral squamous cell carcinoma with clinically relevant variables. We determined the gene expression profile of 16 tumor and 4 normal tissues from 16 patients by means of Affymetrix Hu133A GeneChips. The hybridized RNA was isolated from cells obtained with laser capture microdissection, then was amplified and labeled using T7 polymerase-based in vitro transcription. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1584

Platform:

GPL96

20 Samples

Download data: CEL

Analysis of oral squamous cell carcinoma (OSCC) cells from 16 patients. OSCC cells isolated from tumors by laser capture microdissection. Results identify a strong correlation between gene expression profile and tumor invasiveness in OSCC.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 9 other sets

Platform:

GPL96

Series:

GSE3524

20 Samples

Download data: CEL

(Submitter supplied) This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6102

256 Samples

Download data: TXT, XLS

(Submitter supplied) We demonstrate that, in human bladder cancer, amplification of the E2F3 gene, located at 6p22, is associated with overexpression of its encoded mRNA transcripts and high levels of expression of E2F3 protein. Immunohistochemical analyses of E2F3 protein levels have established that around one-third (33/101) of primary transitional cell carcinomas of the bladder overexpress nuclear E2F3 protein, with the proportion of tumours containing overexpressed nuclear E2F3 increasing with tumour stage and grade. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platforms:

GPL4483 GPL3898 GPL4482

10 Samples

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(Submitter supplied) [original title] Combined gene expression and genomic profiling define two intrinsic molecular subtypes of urothelial carcinoma and gene signatures for molecular grading and outcome. In the present investigation we sought to refine the classification of urothelial carcinoma by combining information on gene expression, genomic, and gene mutation levels. For these purposes we performed gene expression analysis of 144 carcinomas, and whole genome array-CGH analysis and mutation analyses of FGFR3, PIK3CA, KRAS, HRAS, NRAS, TP53, CDKN2A, and TSC1, in 103 of these cases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by genome tiling array

Platforms:

GPL4723 GPL3883 GPL5186

285 Samples

Download data: GPR, TXT

(Submitter supplied) Even though urothelial cancer (UC) is the fourth common tumor type among males, progress in treatment development has been deficient. Pathological assessment provides the urologists with only a broad classification, complicated by frequent disagreement among pathologist and the co-existence of different grading systems. Consequently, there is a great need for an objective, reproducible and biologically relevant classification system to make treatment more efficient. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6947

308 Samples

Download data: TXT