Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA385008 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description: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. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment. 57 samples of patients with stage IV colorectal cancer. We compared using Affymetrix chips gene expression profiles between primary tumors and hepatic metastases
2013-09-01 | E-GEOD-49355 | biostudies-arrayexpress
Project description: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. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment. 57 samples of patients with stage IV colorectal cancer. We compared using Affymetrix chips gene expression profiles between primary tumors and hepatic metastases
2014-10-15 | E-GEOD-62321 | biostudies-arrayexpress
Project description: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. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment.
2013-09-01 | GSE49355 | GEO
Project description: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. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment.
2014-10-15 | GSE62321 | GEO
Project description:Transcriptional profiling of mouse Colon26 cancer cells comparing control primary tumours in the colon with their liver metastases. Keywords: Metastatic variant Two-condition experiment, Colon26 primary tumours vs. their liver metastases. Biological replicates: 2 primary tumours, 2 liver metastases, independently grown and harvested. One replicate per array.
2008-07-23 | E-GEOD-12162 | biostudies-arrayexpress
Project description:Genome wide miRNA expression profiling was performed using Affymetric miRNA v. 3.0 Array on 48 samples which included paired FFPE colon tuomor and metastisized liver and paired normal colon, normal liver). The data set was divided into two categories and identified by tissue source and patient demographics: Tissue (Colon, Liver), Source (Colon Tumor Liver Met, Colon Normal, Liver Normal), Sex (Male, Female), Patient Pair. microRNAs (miRs) are frequently dysregulated in colorectal cancer (CRC) and subsets are correlated with advanced tumor stage and metastasis. Despite this, the development of prognostic biomarkers that predict metastatic potential remain limited. Our study was designed to identify, validate, and elucidate underlying biology imposed by a miR signature that defines and predicts metastatic disease. Genome-wide miR expression profiling was performed on fourteen patient-matched stage IV primary CRC tumors and corresponding liver metastases using microRNA array technology. Based on these results, this miR panel was then validated and evaluated in normal colon tissue (N = 5), early stage (I & II, N = 11) and late stage (Stage III & IV, N = 14) colorectal primary tumors via qRT-PCR.
2017-05-02 | GSE98406 | GEO
Project description:Transcriptional profiling of mouse Colon26 cancer cells comparing control primary tumours in the colon with their liver metastases. Keywords: Metastatic variant
2008-07-23 | GSE12162 | GEO
Project description:The objective of this study was to gain insights into the biological basis of colon cancer progression by characterizing gene expression differences between normal colon epithelium, corresponding colorectal primary tumors and metastases. We found a close similarity in gene expression patterns between primary tumors and metastases, indicating a correlation between gene expression and morphological characteristics. PRDX4 was identified as highly expressed both in primary colon tumors and metastases, and selected for further characterization. Our study revealed that Prdx4 (PrxIV, AOE372) shows functional similarities to other Prx family members by negatively effecting apoptosis induction in tumor cells. In addition, our studies link Prdx4 with Hif-1M-NM-1, a key regulatory factor of angiogenesis. Targeting Prdx4 may be an attractive approach in cancer therapy, as its inhibition is expected to lead to induction of apoptosis and blockade of Hif-1M-NM-1-mediated tumor angiogenesis. mRNA expression profiling of normal colon epithelium (5), primary colon tumors (12 with 1 replicate) and either lymph node metastases (9 with 2 replicates) or liver metastases (2) and cell lines (4) from twelve colon cancer patients.
2011-06-01 | E-GEOD-26571 | biostudies-arrayexpress
Project description: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. To remove the effect of normal cell contamination, we selected 4,583 organ-specific genes with a false discovery rate (FDR) of 0.0067% by comparing normal colon and liver tissues using significant analysis of microarray, and these genes were excluded from further analysis. We then identified and validated 46 liver metastasis-specific genes with an accuracy of 83.3% by comparing the expression of paired primary colorectal tumors and liver metastases using prediction analysis of microarray. The 46 selected genes contained several known oncogenes and 2 ESTs. To confirm that the results correlated with the microarray expression patterns, we performed RT-PCR with WNT5A and carbonic anhydrase II. Additionally, we observed that 21 of the 46 genes were differentially expressed (FDR = 2.27%) in primary tumors with synchronous liver metastasis compared with primary tumors without liver metastasis. We scanned the human genome using a cDNA microarray and identified 46 genes that may play an important role in the progression of liver metastasis in CRC. Keywords: gene expression profiling using cDNA microarray We performed 17K cDNA microarray with the amplified RNAs from the following tissue samples: normal colorectal mucosa, primary colorectal tumors, normal liver and liver metastasis tumors, and primary colorectal tumors without liver metastasis. Organ-specific genes in normal colon and liver tissues were excluded from the pre-filtered genes, and then we discovered and validated liver metastasis-specific genes commonly up-regulated in the primary colorectal tumors and liver metastasis tumors. To confirm the microarray data, we performed a RT-PCR of two genes (WNT5A and carbonic anhydrase II) in the primary colorectal tumors with and without liver metastases.
2008-01-31 | E-GEOD-6988 | biostudies-arrayexpress
Project description:We compared the expression of microRNAs in primary colon tumors with their paired liver metastases using the Nanostring human microRNA assays version 1 23 microRNAs were found to be differentially expressed between colon primary tumors and their paired metastases
2014-08-01 | GSE44121 | GEO