E-PROT-100
Ontology highlight
ABSTRACT:
PROVIDER: E-PROT-100 | ExpressionAtlas | 2023-06-21
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Biomarkers discovery for Colorectal cancer
2023-06-21 | E-PROT-101 | ExpressionAtlas
Project description:Liver metastasis is the main cause of death for human colorectal cancer (CRC), thus effective biomarkers and therapeutic target of colorectal cancer liver metastasis (CRLM) are urgently needed. Here, we report that FGF19 mediated the polarization of hepatic stellate cells to inflammatory CAFs by activating the autocrine effect of IL-1α via JAK2-STAT3 pathway. FGF19-induced iCAFs produced complement C5a and IL-1β to enhance neutrophil extracellular traps (NETs) formation in liver metastases, which in turn accelerated the liver colonization of CRC cells.
2023-07-03 | GSE215882 | GEO
Project description: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.
2016-12-02 | GSE72718 | GEO
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: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. 16 coloretcal cancer tissues with liver metastasis and 16 colorectal cancer tissues without liver metastasis were included in this study for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify the differentially expressed miRNAs between colorectal cancer tissues with and without liver metastasis.
2013-12-10 | E-GEOD-53159 | biostudies-arrayexpress
Project description:We report quantification of proteins in human liver microsomal samples from 15 healthy volunteers and 18 patients with cancer in the liver (mainly, colorectal cancer liver metastasis). These data can be used in physiologically based pharmacokinetic models to predict appropriate drug doses in patients with cancer in their liver, especially colorectal cancer liver metastasis.
2023-05-10 | PXD038776 | Pride
Project description:This study aims to investigate differentially expressed proteins in tumor pericytes derived from colorectal cancer patients with or without liver metastasis. Tumor pericytes were isolated from tumor of colorectal cancer patients with or without liver metastasis. Then, tumor pericytes were cultured and subjected to proteomic analysis. TCAF2 was significantly increased in tumor pericytes from liver metastasis patients.
2024-01-26 | PXD033011 | Pride
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
2008-02-01 | GSE6988 | GEO
Project description:Identification and validation of stage-associated serum biomarkers in colorectal cancer stages.
2023-06-21 | E-PROT-107 | ExpressionAtlas
Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis 21 primary colorectal cancers and 21 matched liver metastases hybridized against sex-matched control pools
2010-07-07 | E-GEOD-10179 | biostudies-arrayexpress