GEO DataSets

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

15 Samples

Download data: CEL

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

106 Samples

Download data: CEL

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

55 Samples

Download data: CEL

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

18 Samples

Download data: CEL

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

18 Samples

Download data: CEL

(Submitter supplied) We have analyzed the gene expression-based consensus molecular subtypes of colorectal cancer. These samples represent a subset of the total series analyzed.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

174 Samples

Download data: CEL, CHP

(Submitter supplied) Integrative analysis of global RNASeq and proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

44 Samples

Download data: TXT

(Submitter supplied) Samples were taken from surgically resected tumor specimens/metastases from patients with colorectal cancer. The expression profiles were determined using the Affymetrix GeneChip Human Exon 1.0 ST Array version 2.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

10 Samples

Download data: CEL

(Submitter supplied) Tumor heterogeneity is a major challenge to the treatment of colorectal cancer (CRC). Recently, a transcriptome-based classification was developed, segregating CRC into four consensus molecular subtypes (CMS) with distinct biological and clinical characteristics. Here, we applied the CMS classification on CRC cell lines to identify novel subtype-specific drug vulnerabilities. We combined publicly available transcriptome data from multiple resources to assign 159 CRC cell lines to CMS. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

24 Samples

Download data: TXT

(Submitter supplied) Tumor heterogeneity is a major challenge to the treatment of colorectal cancer (CRC). Recently, a transcriptome-based classification was developed, segregating CRC into four consensus molecular subtypes (CMS) with distinct biological and clinical characteristics. Here, we applied the CMS classification on CRC cell lines to identify novel subtype-specific drug vulnerabilities. We combined publicly available transcriptome data from multiple resources to assign 159 CRC cell lines to CMS. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) Colorectal cancer (CRC) is a heterogeneous disease classified into four consensus molecular subtype (CMSs) with distinct biological and clinical features. This study aims to understand the value of patient-derived xenografts (PDXs) in relation to these CMSs. A total of 42 primary tumors, recurrences and metastases were used to develop PDXs. Detailed genetic analyses were performed on PDXs and corresponding patient tumors to determine relationship and PDX heterogeneity. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

71 Samples

Download data: CEL

(Submitter supplied) Comparison the mRNA expression profiles of 101 CRC tissues to those from matched 35 non-neoplastic colon mucosal tissues from patients with stage III CRCs treated with FOLFOX adjuvant chemotherapy in each molecular subtype. Gene expression–based subtyping is widely accepted as a relevant source of disease stratification. Results provide important information of molecular marker genes for molecular classification.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

136 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

124 Samples

Download data: CEL

(Submitter supplied) We report that previously described molecular subtypes of colorectal cancer are associated with the response to therapy in patients with metastatic disease. We also identified a patient population with high FOLFIRI sensitivity, as indicated by their 2.7-fold longer overall survival when treated with FOLFIRI, as first-line regimen, instead of FOLFOX. Our results demonstrate the interest of molecular classifications to develop tailored therapies for patients with metastatic colorectal cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

56 Samples

Download data: CEL

(Submitter supplied) We report that previously described molecular subtypes of colorectal cancer are associated with the response to therapy in patients with metastatic disease. We also identified a patient population with high FOLFIRI sensitivity, as indicated by their 2.7-fold longer overall survival when treated with FOLFIRI, as first-line regimen, instead of FOLFOX. Our results demonstrate the interest of molecular classifications to develop tailored therapies for patients with metastatic colorectal cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

68 Samples

Download data: CEL

(Submitter supplied) Isolation and enrichment of cancer stem cells in colorectal carcinoma to study role of epithelial-mesenchymal transition regilators in tumor malignancy.

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS4511 GDS4596

Platform:

GPL570

8 Samples

Download data: CEL, CHP

Analysis of SW480 CRC cells stably overexpressing Snail, an EMT activator highly expressed in CRC colonospheres. SW480-Snail cells display most properties of colonospheres, including cell dedifferentiation. Results provide insight into molecular mechanisms underlying EMT-related malignancy.

Organism:

Homo sapiens

Type:

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

Platform:

GPL570

Series:

GSE14773

4 Samples

Download data: CEL, CHP

Analysis of colonospheres from primary colorectal cancer (CRC) cell line HT29. Results provide insight into potential regulators governing stemness and malignancy traits in CRC colonospheres

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 cell line sets

Platform:

GPL570

Series:

GSE14773

4 Samples

Download data: CEL, CHP

(Submitter supplied) We stratified colorectal tumor samples using a new unsupervised, iterative method based on non-negative matrix factorization (NMF). The resulting five subtypes exhibited activation of specific signaling pathways, and significant differences in microsatellite status and tumor location. We could also align three CRC cell lines panels to these subtypes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4379

Platform:

GPL570

62 Samples

Download data: CEL

Analysis of primary colorectal cancer (CRC) tumors. CRC is a heterogeneous disease. Results provide insight into stratifying CRC tumor samples into subtypes and tailoring treatments for the CRC subtypes.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 6 disease state, 3 genotype/variation, 5 other sets

Platform:

GPL570

Series:

GSE35896

62 Samples

Download data: CEL