GEO DataSets

(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) 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) 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) 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) Samples were taken from colorectal cancers in surgically resected specimens in 36 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting recurrence. Keywords: repeat

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

36 Samples

Download data

(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) Serrated adenocarcinomas are morphologically different from conventional adenocarcinomas. The serrated pathway has recently been proposed to represent a novel mechanism of colorectal cancer (CRC) formation. However, whether they are biologically different and truly form a distinct subclass of CRC, is not known. This study shows that the gene expression profile of serrated and conventional CRCs differs from each others and that serrated CRCs are not only morphologically novel, but also biologically distinct subclass of CRC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2201

Platform:

GPL96

37 Samples

Download data: CEL, EXP, RPT

Comparison of serrated and conventional colorectal adenocarcinoma tumor samples. Results differentiate serrated from conventional colorectal carcinomas (CRC) and provide insight into the molecular pathogenesis of serrated CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL96

Series:

GSE4045

37 Samples

Download data: CEL, EXP, RPT

(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) Metastasis is the major cause of cancer mortality. Up to 25% of early stage sporadic colorectal cancer (CRC) patients succumb to metastasis after curative surgery. We used microarrays to detail gene expression and identified a metastasis-prone signature for early stage CRC. Keywords: RNA expression

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

82 Samples

Download data: CEL, CHP