Gene expression analysis of pancreatic cancer associated fibroblasts
Ontology highlight
ABSTRACT: Gene expression analysis of pancreatic cancer associated fibroblasts and control fibroblasts To identify signaling pathways important in tumor-stromal cell interactions, we performed gene expression profiling on pancreatic cancer associated fibroblast cultures and control fibroblast cultures using Affymetrix Exon arrays. We analyzed 3 control fibroblast cultures and 9 pancreatic cancer associated fibroblast cultures using the Affymetrix Human Exon 1.0 ST platform. Gene expression levels were compared using Partek (version 6.3beta).
Project description:Gene expression analysis of 5-aza-dC treated pancreatic cancer associated fibroblasts To identify genes silenced by methylation in pancreatic CAFs, we performed gene expression profiling on 5-aza-dC treated pancreatic cancer associated fibroblast cultures using Affymetrix Exon arrays. We analyzed 5 untreated and 5-aza-dC-treated pancreatic cancer associated fibroblast cultures using the Affymetrix Human Exon 1.0 ST platform. Gene expression levels were compared using Partek (version 6.3beta).
Project description:Gene expression analysis of pancreatic cancer associated fibroblasts and control fibroblasts To identify signaling pathways important in tumor-stromal cell interactions, we performed gene expression profiling on pancreatic cancer associated fibroblast cultures and control fibroblast cultures using Affymetrix Exon arrays.
Project description:Gene expression analysis of 5-aza-dC treated pancreatic cancer associated fibroblasts To identify genes silenced by methylation in pancreatic CAFs, we performed gene expression profiling on 5-aza-dC treated pancreatic cancer associated fibroblast cultures using Affymetrix Exon arrays.
Project description:Transcriptome analysis of EYA2 non-expressing pancreatic cancer cell lines with stable transfectant overexpressing EYA2 We analyzed Panc2.5 and Panc3.014 stable transfectant (overexpressing EYA2) and control (empty pcDNA6.2/cLumio-DEST vector) cell transcriptomes using the Affymetrix Exon Array ST1.0 platform. Statistical analysis of gene expression array data was completed with Partek Genomic Suite 6.4 software.
Project description:Expression data from pancreatic cancer cell lines and non-neoplastic pancreatic cell line HPDE To identify genes epigenetically silenced and regulated in pancreatic cancer We compared the gene expression profiles of 6 pancreatic cancer cell lines (panc215, A32-1, A38-5, panc2.5, panc2.8, and panc3.014), to the non-neoplastic pancreas cell line, HPDE. We also compared the baseline gene expression of the pancreatic cancer cell lines to expression patterns after treatment with 5-aza-dC alone, TSA alone, and to a combination of 5-aza-dC/TSA.
Project description:There is increasing evidence for a crucial contribution of the tumor microenvironment to cancer development and progression since several stromal components, including fibroblasts, interact with cancer cells regulating their behavior and ultimately affecting tumor phenotype. To investigate the cross-talk between cancer cells and lung-derived fibroblasts we have prospectively collected surgical specimens of lung cancer and normal lung tissue and established primary fibroblast cultures from different areas of the lungs. We have generated cultures from cancer specimens (Cancer Associated Fibroblasts, CAF) and cultures from normal lung tissue either proximal (Adjacent Fibroblasts, AF) or distant from the neoplastic lesion (Normal fibroblasts, NF). Gene and miRNA expression profiles were obtained from 60 cultures to identify fibroblast properties related to cancer progression.
Project description:Currently it is unknown whether activation of recruited or resident pancreatic fibroblasts, including pancreatic stellate cells activation, create a common “fibroblast-activated phenotype” indistinguishable from their associated-diseased microenvironment . Using a combination of microRNA and mRNA profiling of fibroblasts isolated from pancreatic ductal adenocarcinoma (PDAC), chronic pancreatitis (CP), periampullary cancer (PAT) and areas of histologically normal pancreas, followed by comprehensive validation, we show that activated fibroblasts derived from different pancreatic disease types are considerably distinct.
Project description:Currently it is unknown whether activation of recruited or resident pancreatic fibroblasts, including pancreatic stellate cells activation, create a common “fibroblast-activated phenotype” indistinguishable from their associated-diseased microenvironment . Using a combination of microRNA and mRNA profiling of fibroblasts isolated from pancreatic ductal adenocarcinoma (PDAC), chronic pancreatitis (CP), periampullary cancer (PAT) and areas of histologically normal pancreas, followed by comprehensive validation, we show that activated fibroblasts derived from different pancreatic disease types are considerably distinct.