GEO DataSets

Analysis of specimens from consecutive stage II and stage III colorectal cancer (CRC) patients with high or low chromosomal instability (CIN) phenotype. CIN-high CRC showed poorer outcome than CIN-low CRC. Results provide insight into molecular biomarkers to distinguish between the CIN phenotypes.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 genotype/variation sets

Platform:

GPL570

Series:

GSE30540

35 Samples

Download data: CEL

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 33 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 CIN phynotype

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

33 Samples

Download data: CEL

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 35 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 CIN phynotype.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4380

Platform:

GPL570

35 Samples

Download data: CEL

(Submitter supplied) Structural changes of chromosomes play important roles in the carcinogenesis of colorectal carcinoma (CRC). Here, by using SNP-typing arrays, we have tried to screen for recurrent chromosome copy number changes and loss-of-heterozygosity in the genome of colorectal carcinoma. Genomic DNA was isolated from tumor and paired normal tissues of CRC (n=94), and was hybridized to Affymetrix Mapping 50K Xba 240 arrays. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL2005

188 Samples

Download data: CEL

(Submitter supplied) We analyzed, by last-generation high-resolution SNP arrays, colorectal adenocarcinoma samples and matched normal colonic tissues in order to determine the number of tumor-associated copy number abnormalities (CNAs) and copy neutral-loss of heterozygosity (CN-LOH) regions per patient and to identify possible recurring genomic abnormalities.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL6801

97 Samples

Download data: CEL, CNCHP