Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA337957 | 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:Tissue inhibitor of metalloproteinase 1 (TIMP-1) controls matrix metalloproteinase (MMP) activity through 1:1 stochiometric binding. Human TIMP-1 fused to a glycosylphosphatidylinositol (GPI) anchor (TIMP-1-GPI) shifts the activity of TIMP-1 from the extracellular matrix to the cell surface. TIMP-1-GPI treated renal cell carcinoma cells (RCC) show increased apoptosis and reduced proliferation. Transcriptomic profiling and regulatory pathway mapping were used to identify potential mechanisms driving these effects. Significant changes in inhibitor of DNA binding (IDs), TGF-β1/SMAD and BMP pathways resulted from TIMP-1-GPI treatment. These events were linked to reduced TGF-β1 signaling mediated by inhibition of proteolytic processing of latent TGF-β1 by TIMP-1-GPI. Activity of TIMP-1 from the extracellular matrix to the cell surface. TIMP-1-GPI treated renal cell carcinoma cells (RCC) show increased apoptosis and reduced proliferation. Transcriptomic profiling and regulatory pathway mapping were used to identify potential mechanisms driving these effects. Significant changes in inhibitor of DNA binding (IDs), TGF-β1/SMAD and BMP pathways resulted from TIMP-1-GPI treatment. These events were linked to reduced TGF-β1 signaling mediated by inhibition of proteolytic processing of latent TGF-β1 by TIMP-1-GPI. Renal cell carcinoma cells were transfected with empty vector, rhTimp1 and 2 concentrations of Timp1-GPI fusion protein
2012-08-23 | E-GEOD-40301 | biostudies-arrayexpress
Project description:DNA methylation of matched primary-metastases medulloblastomas
| PRJNA268665 | ENA
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: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:Clear cell renal carcinoma (CCRC) accounts for >80% of all kidney cancers but what triggers the tumorigenesis in the kidney and metastases in the bones are still under debate. Our hypothesis is that remodeling of the genomic fabrics of certain functional pathways and their interplay beyond critical limits are key causes of CCRC. We profiled the transcriptomes of metastatic chest wall and of two primary cancerous sites of the renal medulla and compared them with that of non-cancerous kidney resection margins. Samples were collected from a 74 years old male with metastatic carcinoma, consistent with renal cell carcinoma, clear cell type, Fuhrman grade 3, who undergone total right kidney nephrectomy and resection of a chest wall mass. Transcriptomic analysis pointed the tumor region in the right kidney that led to the chest wall metastases. The tumor proved heterogeneous not only in the expression level but also in the expression control, coordination and interplay of pathways responsible for cellular processes and genetic and environmental information processing. The differently regulated pathways in the two sides of the tumor: CCRC, and HIF-1, Vegfa and mTor signaling indicate activation of distinct mechanisms. Four-conditions (CTR = control - non-cancerous kidney resection margins, PTA = primary tumor side A, PTB = primary tumor side B, MET = chest wall metastasis. Four biological replicates of each condition.
2015-08-24 | E-GEOD-72304 | biostudies-arrayexpress
Project description:Whole genome expression of matched primary-metastases medulloblastomas
| PRJNA268666 | ENA
Project description:Gene expression in matched primary and liver metastases
| PRJNA616290 | ENA