GEO DataSets

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

Organism:

synthetic construct; Homo sapiens

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:

synthetic construct; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL16384

51 Samples

Download data: CEL

(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) Metastasis is a complex process involving multiple steps. We were interested in the role of microRNAs (miRNAs) in the process of liver colonization by colorectal cancer cells. We hypothesized that the comparison between non-metastatic versus metastatic isogenic cell line should thus offer valuable insight to the molecular mechanisms involved in developing metastatic behavior. KM12C/KM12SM and SW480/SW620 are probably the best available models of isogenic cell lines differing in metastatic properties for colorectal cancer. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL20277

4 Samples

Download data: TXT

(Submitter supplied) The purpose of this study is to identify miRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 39 miRNAs were identified to be differentially expressed between 16 primary CRC tissues with liver metastases and 16 CRC tissues without liver metastases from 32 patients by Affymetric miRNA microarrays.

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL8786

32 Samples

Download data: CEL

(Submitter supplied) We have performed gene expression profiling of surgically resected liver metastases by exon-resolution microarrays, and identified a metastasis-oriented subtyping framework consisting of 5 de novo transcriptomic subtypes (LMS1-5).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

283 Samples

Download data: CEL, CHP

(Submitter supplied) To identify the driver factors in liver metastasis of colorectal cancer, and seek for possible biomarkers, we applied array trascriptome detection using approaches tailored to FFPE derived RNA Integrated analysis identified metastasis related genes with potentially high clinical significance.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

28 Samples

Download data: CEL, CHP

(Submitter supplied) Abstract: Altered expression of microRNAs (miRNAs) is associated with development and progression of various human cancers by regulating the translation of oncogenes and tumor suppressor genes. In colorectal cancer (CRC), these regulators complement the Vogelstein multi-step model of pathogenesis and have the potential of becoming a novel class of tumor biomarkers and therapeutic targets. Using QRT-PCR, we measured the expression of 621 mature miRNAs in 40 CRCs and their paired normal tissues and identified 23 significantly deregulated miRNAs. more...

Organism:

Homo sapiens

Type:

Other

Platforms:

GPL13328 GPL13329

157 Samples

Download data: TXT

(Submitter supplied) Chromosomal instability (CIN) is the hallmark of colorectal adenoma to carcinoma progression in 85% of cases, with 20q gain as the most prominent aberration. Yet, the oncogenes at this chromosomal gain are still largely unknown. Here, we aimed to identify oncogenes at 20q involved in colorectal adenoma to carcinoma progression by measuring the effect of 20q gain on gene expression in this amplicon. more...

Organism:

Homo sapiens

Type:

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

5 related Platforms

217 Samples

Download data

(Submitter supplied) Hepatocellular carcinoma (HCC) represents the major histological subtype of liver cancer. Tumorigenic changes in hepatic cells potentially result from aberrant expression of microRNAs (miRNAs). Individual microRNA gene may give rise to miRNAs of different length, named isomiRNAs that proved to be functionally relevant. Results: We detected 374 microRNAs expressed in liver, including miR-122-5p that constituted over 39% ofthe hepatic miRnome. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

48 Samples

Download data: TXT

(Submitter supplied) Liver metastasis is one of the major causes of death in colorectal cancer (CRC) patients. To understand this process, we investigated whether the gene expression profiling of matched colorectal carcinomas and liver metastases could reveal key molecular events involved in tumor progression and metastasis. We performed experiments using a cDNA microarray containing 17,104 genes with the following tissue samples: paired tissues of 25 normal colorectal mucosa, 27 primary colorectal tumors, 13 normal liver and 27 liver metastasis, and 20 primary colorectal tumors without liver metastasis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4811

123 Samples

Download data

(Submitter supplied) miRNA profiling study revealing novel miRNAs deregulated in SBNET compared to normal small bowel and identifying miRNA that are differentially regulated with disease progression. These have the potential to be used in the future for patient stratification and treatment response monitoring.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL17537

90 Samples

Download data: RCC

(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) We present a novel approach for investigating transcriptomic differences between primary colorectal cancers (CRC) and distant CRC metastases, which may help to identify primaries at high risk for future dissemination and to inform the development of metastasis-targeted therapies. Eliminating tissue specificity of the “host” organs where tumors are located and adjusting for confounders such as exposure to chemotherapy and radiation, allows for an effective comparison of primary CRC and metastatic lesion transcriptomes at both the gene and pathway levels. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL15048

1135 Samples

Download data: CEL, CSV, TXT, XLS

(Submitter supplied) To investigate genomic plasticity over time associated with response to standard chemotherapy, we collected longitudinal liver metastasis (LM) samples from 155 patients and characterized the copy number aberration (CNA) landscape and its effect on the transcriptome. CNA profiles of lesions exhibiting different treatment response were compared and focal genomic divergences reported. By investigating genomic-phenotype associations of the largest reported LM cohort to date, we identified novel molecular features associated with drug response supporting the relevance of collecting clinical metastatic samples.

Organism:

Homo sapiens

Type:

SNP genotyping by SNP array; Genome variation profiling by SNP array

Platform:

GPL16131

45 Samples

Download data: CEL, CYCHP

(Submitter supplied) Somatic copy number alterations of 17 paired tumor and metastasis tissue samples were measured by Agilent array-based comparative genomic hybridization (CGH). Seven colon adenocarcinomas with paired liver metastasis and 10 liver carcinoma with metastasis to the lymph node, adrenal gland or lung were analyzed.

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL9075

34 Samples

Download data: TXT

(Submitter supplied) Enriched tumor epithelium from 61 primary and metastasis tumor specimens was obtained by laser capture microdissection (LCM) as previously described (Boersma et al., 2007). In brief, frozen 8-μm serial sections from OCT-preserved frozen tissues were prepared and mounted on plain, uncharged microscope slides. One Hematoxylin/eosin-stained section of each specimen was reviewed by a pathologist to confirm diagnosis and presence of tumor. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

61 Samples

Download data: CEL

(Submitter supplied) miR-483-5p and miR-551a were over-expressed in a colon cancer cell-line LvM3b to identify genes that are down-regulated by the miRNAs over-expression.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6884

4 Samples

Download data: TXT