Project description:The aim of the study was to characterize at a molecular level (changes in mRNA level) the effects of WNT3A on the human HepaRG hepatocellular carcinoma cell line. This was adressed by culturing HepaRG cells in presence or absence of Wnt3a.
Project description:We report whole genome gene expression in HepaRG cells, a human hepatocellular carcinoma cell line, that were either treated with palmitic and oleic acid or solvent only. These data capture transcriptional events related to the response of human hepatocyte-like cells to fat-loading.
Project description:To detect the altered gene expression in human hepatocellular carcinoma huh7 cell line under the condition of disulfiram, thalidomide and the combination of the two drugs.
Project description:An integrative transcriptomics analysis was performed to evaluate the clinical relevance of genes associated with hepatocyte differentiation in human hepatocellular carcinoma (HCC). The well-established HepaRG cell line model was used to define a gene expression signature reflecting the status of tumor hepatocyte differentiation. This signature was able to stratify HCC patients into clinically relevant molecular subtypes. Then, a minimal subset of 7 differentiation-associated genes was identified to predict a poor prognosis in several cancer datasets. Hepatocellular carcinoma (HCC) is a deadly cancer worldwide as a result of a frequent late diagnosis which limits the therapeutic options. Tumor progression is correlated with a dedifferentiation of hepatocytes, the main parenchymal cells in the liver. Here, we hypothesized that the level of expression of genes reflecting the differentiation status of tumor hepatocytes could be clinically relevant in defining subsets of patients with variable clinical outcomes. To test this hypothesis, an integrative transcriptomic approach was used to stratify a cohort of 139 HCC patients based on a gene expression signature established using a well-controlled in vitro model of tumor hepatocyte differentiation in HepaRG cell line. First, we validated the HepaRG model by identifying a robust gene expression signature associated with hepatocyte differentiation and liver metabolism. This signature was able to distinguish specific developmental stages in mice. More importantly, the signature identified a subset of human HCC associated with a poor prognosis and cancer stem cell features. By using an independent HCC dataset (TCGA), a minimal subset of 7 differentiation-related genes was shown to predict a reduced overall survival, not only in patients with HCC but also in other types of cancers (e.g. kidney, pancreas, skin). In conclusion, the study demonstrates that genes reflecting the differentiation status of tumor hepatocytes are clinically relevant for predicting the prognosis of HCC patients.
Project description:mRNA expression profile modified by stable transfection of microRNA mir-517a (MIR517A) in a human hepatocellular carcinoma cell line Huh-7 Keywords: Hepatocellular carcinoma, Expression array, microRNA
Project description:Galectin-9 suppresses growth of Li-7 cells, a cell line of human hepatocellular carcinoma, in vitro study. Micro RNA expression of Li-7 cells, a cell line of hepatocellular carcinoma, with or without administration of galectin-9 were assessed in vitro.
Project description:Galectin-9 suppresses growth of Li-7 cells, a cell line of human hepatocellular carcinoma, in xenograft model analysis. Micro RNA expression in xenografts of Li-7 cells, a cell line of hepatocellular carcinoma, with or without administration of galectin-9 were assessed.
