GEO DataSets

(Submitter supplied) In patients with advanced colorectal cancer, leucovorin, fluorouracil, and irinotecan (FOLFIRI) is considered as one of the reference first-line treatments. However, only about half of treated patients respond to this regimen, and there is no clinically useful marker that predicts response. A major clinical challenge is to identify the subset of patients who could benefit from this chemotherapy. We aimed to identify a gene expression profile in primary colon cancer tissue that could predict chemotherapy response. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

21 Samples

Download data: CEL

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL97 GPL96

114 Samples

Download data: CEL

(Submitter supplied) To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL97

57 Samples

Download data: CEL

(Submitter supplied) To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

57 Samples

Download data: CEL

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 189 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 liver metastasis. Keywords: repeat

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

189 Samples

Download data

(Submitter supplied) The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets.

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS4393 GDS4396

Platform:

GPL570

83 Samples

Download data: CEL

Analysis of primary or metastatic lesions from patients with unresectable colorectal cancer (CRC) prior to FOLFOX6 therapy (oxaliplatin, 5-fluorouracil, leucovorin regimen). Results provide insight into molecular signatures that predict responders to FOLFOX therapy for unresectable CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 individual, 2 specimen sets

Platform:

GPL570

Series:

GSE28702

29 Samples

Download data: CEL

Analysis of primary or metastatic lesions from patients with unresectable colorectal cancer (CRC) prior to FOLFOX6 therapy (oxaliplatin, 5-fluorouracil, leucovorin regimen). Results provide insight into molecular signatures that predict responders to FOLFOX therapy for unresectable CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 individual, 2 specimen sets

Platform:

GPL570

Series:

GSE28702

54 Samples

Download data: CEL

(Submitter supplied) As part of a genomic profiling study of CRCs with MSI, we have performed genome-wide expression analyses of a consecutive patient series.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

34 Samples

Download data: CEL, CHP

(Submitter supplied) These colorectal cancer (CRC) samples have been analyzed by exon expression profiling to identify genes with overexpression of 3’ parts. By characterizing underlying transcript structures of such genes with a combination of rapid amplification of cDNA ends and deep-sequencing (RACE-seq), we identify and describe novel RNA-variants in CRC.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

77 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) Gene expression profile from 193 formalin-fixed and paraffin embedded primary tumor samples.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

193 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array; Expression profiling by array

Platforms:

GPL16070 GPL570

1048 Samples

Download data: CEL, GPR

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL16070

463 Samples

Download data: GPR, TXT

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and 19 non-tumoral colorectal mucosas, and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

585 Samples

Download data: CEL

(Submitter supplied) We have compared the gene expression profiles of primary colorectal cancers and colorectal liver metastases within the framework of the consensus molecular subtypes. This series represents a subset of the primary tumor samples.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

105 Samples

Download data: CEL, CHP