GEO DataSets

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL5175 GPL11028

166 Samples

Download data: CEL, CHP

(Submitter supplied) This series is part of a larger series (GSE24549) of colorectal cancer tissue samples analyzed for global gene expression. The expression measures were used to develope a gene signature for prediction of prognosis in stage II and III colorectal cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

95 Samples

Download data: CEL, CHP

(Submitter supplied) By the use of whole genome transcription analysis, we aimed to develop a gene expression classifier to increase the likelihood of identifying stage II colorectal cancer (CRC) samples with a poor prognostic outcome. Gene expression measurement were measured by the GeneChip® Human Exon 1.0 ST Arrays from Affymetrix.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

50 Samples

Download data: CEL, CHP

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL5175 GPL11028

333 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL11028 GPL5175

167 Samples

Download data: CEL, CHP

(Submitter supplied) Background & Aims. The current staging system for colorectal cancer (CRC) based on TNM classification allows prediction of potential recurrence. However, it does not necessarily make reliable personalized prediction of prognosis. In this paper we describe combination of clinicopathological data and gene signature of dissected tumor specimen with stage II and III CRC patients would improve the situation.. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1291

198 Samples

Download data: TXT

(Submitter supplied) microRNA profiling of colon tumor tissues vs adjacent normal tissues

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL17496

80 Samples

Download data: GPR

(Submitter supplied) Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC). Experimental Design: The expression profiles of cancer cells in 104 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells especially in patients with distant metastasis was a prerequisite to select candidate genes. The mRNA expression of candidate gene was investigated by quantitative reversetranscription polymerase chain reaction (RT-PCR) in 77 patients as a validation study. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS4516 GDS4718

Platform:

GPL570

148 Samples

Download data: CEL

Analysis of homogenized colorectal cancer (CRC) tumors representing various stages and metastases. Results provide insight into predictive biomarkers of metastasis and treatment targets in CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 3 disease state, 7 other sets

Platform:

GPL570

Series:

GSE21510

44 Samples

Download data: CEL

Analysis of LCM-isolated colorectal cancer (CRC) tumors representing various stages and metastases. Results provide insight into predictive biomarkers of metastasis and treatment targets in CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 3 disease state, 7 other sets

Platform:

GPL570

Series:

GSE21510

104 Samples

Download data: CEL

(Submitter supplied) Microarray analyses for the identification of differences in gene expression patterns have increased our understanding of the molecular genetic events in colorectal cancer. We used gene expression analysis data from recurrent and non-recurrent patients with colorectal cancer to identify differentially expressed probes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

81 Samples

Download data: CEL

(Submitter supplied) Genome-wide DNA methylation profiles were determined on a set of fresh 44 bladder cancer tissues using normal blood as control. DNA amplicons were prepared using Differential Methylation Hybridization (DMH) method, subsequently hybridized on to the Agilent Human CpG island Microarray. The goal was to unravel the DNA methylation patterns in different subgropus of bladder cancer along with finding markers for progresssion and early diagnosis.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL4126

44 Samples

Download data: TXT

(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) Background: Patients with early stage non-small cell lung carcinoma (NSCLC) may benefit from treatments based on more accurate prognosis. A 15-gene prognostic classifier for NSCLC was identified from mRNA expression profiling of tumor samples from the NCIC CTG JBR.10 trial. Here, we assessed its value in an independent set of cases. Methods: Expression profiling was performed on RNA from frozen, resected tumor tissues corresponding to 181 Stage I and II NSCLC cases collected at University Health Network (UHN181). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

181 Samples

Download data: CEL

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL570 GPL21950 GPL20712

573 Samples

Download data: CEL, CHP, RCC, TXT

(Submitter supplied) This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL21950

131 Samples

Download data: RCC, TXT

(Submitter supplied) This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL21950

144 Samples

Download data: RCC, TXT

(Submitter supplied) This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL20712

148 Samples

Download data: TXT

(Submitter supplied) This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

150 Samples

Download data: CEL, CHP