Project description:Biomarker studies for early stage or preclinical hepatocellular carcinomas (HCC) are hindered by the difficulties of obtaining samples from asymptomatic individuals. We established animal models using irradiated mice to investigate circulating miRNA as non-invasive markers for detection of early stage HCC. We hypothesized that certain miRNAs that play pivotal roles in molecular pathways are conserved across species and identification of these miRNAs will facilitate studying human markers in mice. To test the hypothesis, we performed weighted gene co-expression analysis by integrating circulating miRNA and tumor gene expression profiles from individual mice and discovered hub miRNAs in highly correlated expression modules. We validated the hub miRNAs using F2 hybrid mice derived from radiogenic HCC susceptible and resistant founders and identified 38 circulating miRNA markers associated with radiation-induced HCC. Through literacy search, we selected 10 human HCC-associated circulating miRNAs that had been validated in multiple independent patient cohorts. Nine of the 10 human markers overlapped with the mouse hub miRNAs, indicating the feasibility of using mouse model to study human circulating HCC markers. Using serially collected plasma samples from irradiated mice, we studied the kinetics of circulating miRNAs. We found that the mouse plasma levels of 4 human circulating markers, miR-122-5p, miR-100-5p, miR-34a-5p and miR-365-3p increased linearly as the time approaching towards HCC detection, indicating the correlations of the 4 miRNAs with oncogenic progression. Estimation of change points in the kinetics of the 4 circulating miRNAs suggested the changes started months before HCC detection, ranging from 17.5 to 6.8 months. Our data demonstrated that the 4 circulating miRNAs were sensitive biomarkers potentially valuable for the screening of early stage HCC.
Project description:To explore the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma To performe microarray analysis to detect the miRNA expression profiles between HBV-related Hepatocellular carcinoma and no HBV-related Hepatocellular carcinoma
Project description:A serum miRNA combination could be a powerful classifier for the detection of hepatocellular carcinoma. Keywords: Non-coding RNA profiling by array
Project description:To explore the critical roles of miRNAs playing in the pathogenesis of hepatocellular carcinoma, the Agilent microarray was used to the profiling of miRNA expression in 7 pairs of HCC and matched adjacent tumor-free tissues.
Project description:The purpose of the study is to detect somatic mutations in hepatocellular carcinoma using circulating free-DNA. We used deep-sequencing data of a panel of 60 commonly mutated genes in hepatocellular carcinoma.
Project description:This SuperSeries is composed of the following subset Series: GSE35402: miRNA expression profiling of hepatocellular carcinoma induced by AAV in vivo gene targeting at the Rian locus GSE35403: mRNA expression profiling of hepatocellular carcinoma induced by AAV in vivo gene targeting at the Rian locus Refer to individual Series
Project description:Emerging evidences indicate that microRNAs (miRNAs) are often deregulated and have fundamental roles in hepatocellular carcinoma (HCC). However, the mechanism underlying miRNA dysregulation in HCC is still elusive. In this report, we used an integrated analysis strategy combining methylated DNA immunoprecipitation chip (MeDIP-chip) and miRNA expression microarray data to study the correlation between aberrant methylation and dysregulation of miRNA in HCC. In all, we showed that global miRNA methylation profiles were significantly different between cancerous and normal hepatocytes, and abnormal methylation was an important mechanism governing miRNA expression in HCC.