GEO DataSets

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

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL16384 GPL15207

102 Samples

Download data: CEL

(Submitter supplied) Metastatic dissemination is the most frequent cause of death sporadic colorectal cancer (sCRC) patients. The genomic abnormalities which are potentially characteristic of such advanced stages of the disease are complex and so far, they have been poorly described and only partially understood. We evaluate the molecular heterogeneity of sCRC tumors based on simultaneous assessment of the overall GEP of both coding mRNA and non-coding RNA genes in primary sCRC tumor samples from 23 consecutive patients and their paired liver metastases. more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL16384

51 Samples

Download data: CEL

(Submitter supplied) Metastatic dissemination is the most frequent cause of death sporadic colorectal cancer (sCRC) patients. The genomic abnormalities which are potentially characteristic of such advanced stages of the disease are complex and so far, they have been poorly described and only partially understood. We evaluate the molecular heterogeneity of sCRC tumors based on simultaneous assessment of the overall GEP of both coding mRNA and non-coding RNA genes in primary sCRC tumor samples from 23 consecutive patients and their paired liver metastases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15207

51 Samples

Download data: CEL

(Submitter supplied) Comparison of expression profiles of primary colorectal cancers with liver metastases of the same patient. Additionally, expression data of normal colon and liver tissue. Abstract of publication will be included upon publication Keywords: expression profiling, colorectal cancer, colon cancer, liver metastasis, normal colonic tissue, normal liver tissue

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6370

48 Samples

Download data: TIFF, TXT

(Submitter supplied) Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL6365

42 Samples

Download data: GPR

(Submitter supplied) The seed-and-soil hypothesis was described over a century ago to describe why cancer cells (seeds) grow in certain organs (soil). Since then, the genetic properties that define the cancer cells have been heavily investigated, however, the genetic mediators within the organ microenvironment that mediate successful metastatic growth are less understood. In these studies, a set of human breast cancer patient-derived xenograft (PDX) metastasis models were utilized. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL17021 GPL22245

128 Samples

Download data: TXT

(Submitter supplied) Accurate staging of colorectal cancer (CRC) with clinicopathological parameters is important for predicting prognosis and guiding treatment but provides us no information about organ site of metastases. Patterns of genomic aberrations in primary colorectal tumors may reveal a chromosomal signature for organ specific metastases.

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL4560

98 Samples

Download data: TXT

(Submitter supplied) Originally linked with development and differentiation, the role of microRNAs (miRNAs) in many important biological processes has emerged and dysregulation of miRNA expression has been connected with cancer pathogenesis. The association between abnormal expression levels of miRNAs and colon cancer has been mainly demonstrated in primary tumors; more recently, non-overlapping sets of oncomirs, tumour suppressor miRNAs and metastamirs have been associated with distinct stages of colo-rectal cancer (CRC) progression. more...

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL15236 GPL8786

158 Samples

Download data: CEL

(Submitter supplied) Identification of specific risk groups for recurrence after surgery for colorectal liver metastases (CRLM) remains challenging due to the heterogeneity of the disease. Classical clinicopathologic parameters have limited prognostic and predictive value. The aim of this study was to identify a gene expression signature measured in CRLM discriminating early from late recurrence after surgery for CRLM. Methods: Tumour samples of CRLM from two patient groups were collected: I) patients with recurrent disease within 12 months after surgery (N=33), and II) patients without recurrences and disease free for at least 36 months (N=30). The included patients were clinically homogeneous; all patients had a low risk profile (clinical risk score 0-2) and did not receive (neo-) adjuvant chemotherapy. Extracted total RNA from both groups was hybridized to Illumina arrays, and processed for analysis. A leave-one-out cross validation (LOOCV) analysis was performed to identify a potentially prognostic gene expression signature. Results: The LOOCV yielded an 11-gene profile with prognostic value in relation to recurrent disease within 12 months after partial hepatectomy. This gene expression profile had a sensitivity of 81.8%, with a specificity of 66.7% for predicting early recurrences (within 12 months) versus no recurrences for at least 36 months after surgery (X2 P<0.0001). Conclusion: The current study yielded an 11-gene signature at mRNA level in CRLM discriminating early from late or no relapse after partial hepatectomy.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14951

63 Samples

Download data: TXT