GEO DataSets

(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

15 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) The heterogeneous therapy response observed in colorectal cancer is in part due to cancer stem cells (CSCs) that resist chemotherapeutic insults. The anti-apoptotic protein BCL-XL plays a critical role in protecting CSCs from cell death, where its inhibition with high doses of BH3-mimetics can induce apoptosis. To identify pathways that can regulate sensitivity to BCL-XL inhibition, we screened a compound library for synergy with low dose BCL-XL inhibitor A-1155463 and reveal that FGFR4 inhibition effectively sensitizes to A-1155463 both in vitro and in vivo. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

2 Samples

Download data: TXT

(Submitter supplied) BH3 mimetics are used as an efficient strategy to promote mitochondrial-dependent cell death in blood malignancies, including acute myeloid leukemia (AML). Venetoclax, a potent BCL2 antagonist, is used clinically in combination with hypomethylating agents for the treatment of AML, while various compounds targeting MCL1 are in clinical trials. Yet, drug resistance eventually ensues, highlighting the urgency to understand the underlying mechanisms. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

7 Samples

Download data: CSV

(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) BH3 mimetics are increasingly used as anti-cancer therapeutics either alone or in conjunction with other chemotherapies. However, mounting evidence has also demonstrated that BH3 mimetics induce varied amounts of cell death in healthy immune populations. In order to maximize their clinical potential, it is essential to understand how BH3 mimetics affect discrete immune populations and to determine how BH3 mimetic pressure causes immune system adaptation. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24247

16 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:

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