Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Different CircRNAs expression profiles between the HCC and liver cirrhosis

ABSTRACT: Background: Of Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), 85%-90% of cases develop from liver cirrhosis, and circular RNAs (circRNAs) have important roles in this process; however, differences in serum circRNA expression profiles between patients with HBV-related cirrhosis and those with HCC have not been studied. Methods: Serum RNA was extracted from patients with HCC and cirrhosis (n = 5 per group) and used for microarray analysis of circRNA expression profiles. Bioinformatics analyses, including clustering, differential expression, and construction of a ceRNA network, were performed. Quantitative real-time reverse transcription PCR validation analysis was conducted using samples from patients with HBV-related cirrhosis (n = 88) and HCC (n = 73). Further, statistical analyses were used to analyze the potential function and value of selected circRNAs with expression differing between the HBV-related cirrhosis and HCC groups. Results: Cluster analysis revealed 8 up-regulated and 80 down-regulated circRNAs. Further, qRT-PCR analysis showed that circRNA_0000367 expression was consistent with that detected by microarray experiments, with significantly lower levels in patients with HBV-related HCC than those with HBV-related cirrhosis. CircRNA_0000367 expression levels were also significantly lower in patients with drug-resistant HBV and those with HBV-related cirrhosis with Model for End-Stage Liver Disease score < 10. Further, circRNA_00000367 expression levels were lower in patients with HBV-related cirrhosis who progressed to HCC. Analysis of the lncRNA-miRNA-mRNA ceRNA network identified 39 miRNAs and 24 mRNAs involved in circRNA_00000367 networks; these target genes were involved in various biological processes and signaling pathways. Conclusion: Serum cicrRNA_0000367 is a potential HCC biomarker in patients with HBV-related cirrhosis, where down-regulation of cicrRNA_0000367 in HBV-related cirrhosis may be associated with progression to HCC.

ORGANISM(S): Homo sapiens

SUBMITTER: Shanshan Wang

PROVIDER: E-MTAB-12717 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Purpose: Aberrantly methylated DNA are hallmarks for many cancers, HCC included. Tumor shed its DNA into circulation stream, and serum DNA methylation analysis is a less-invasive and accessable way to judge the primary tumor status. The goals of this study are to compare DNA methylation profiling in serum cell-free DNA from different stages of HCC progression including healthy control, chronic HBV carrier, HBV-related liver Cirrhosis and HCC, to establish HCC development-related aberrnat DNA methylation patterns. Methods: MBD methylCap/seq was carried out to screen differentially methylated CpG islands in serum cell-free DNA on four different stage of HBV-related HCC development. MSP and multiplex-BSP validation was performed using independent serum DNA or tumor and adjacent tissues. Results: Using a MBD methylCap/seq platform, we produced 33- to 37- million raw reads per sample and mapped them, in about half of the raw reads, to human genome(build h19) in the serum cf DNA of healthy control, HBV carrier, HBV cirrhosis and HCC. The mapped reads formed 180k to 260k peaks per sample, with 160 k common peaks shared by four samples. After subtraction of the common peaks, there left 51k, 107k and 78 k DMRs representing hypermethylations, in HBV carrier, HBV cirrhosis and HCC, respectively. We define those DMRs as early, middle and late when these DMRS occurred and maintained in HBV carrier, HBV cirrhosis and HCC, which including 27k, 24k and 19k DMRs, corresponding to 1,416, 1,337, 1,006 genes. GO analysis of them revealed gene categories and pathways associated with tumorogenenisis related process Conclusions: Our study represents the first detailed analysis of serum cf-DNA methylation profiling in the progression of HBV related HCC development. The processed data analysis here offers a comprehensive evaluation of DNA methylation in serum cf DNA. We conclude that MBD methylCap/seq based methylation profiling would benefit epigenetic research in HCC.

Project description:Gene-expression profiles of hepatitis C-related, early-stage liver cirrhosis Background & Aims: Liver cirrhosis affects 1%M-bM-^HM-^R2% of population and is the major risk factor of hepatocellular carcinoma (HCC). Hepatitis C cirrhosis-related HCC is the most rapidly increasing cause of cancer death in the US. Non-invasive methods have been developed to identify patients with asymptomatic, early-stage cirrhosis, increasing the burden of HCC surveillance, but biomarkers are needed to identify patients with cirrhosis who are most in need of surveillance. We investigated whether a liver-derived 186-gene signature previously associated with outcomes of patients with HCC is prognostic for patients newly diagnosed with cirrhosis but without HCC. Methods: We performed gene expression profile analysis of formalin-fixed needle biopsies from the livers of 216 patients with hepatitis C-related early-stage (Child-Pugh class A) cirrhosis who were prospectively followed for a median of 10 years at an Italian center. We evaluated whether the 186-gene signature was associated with death, progression of cirrhosis, and development of HCC. Results: Fifty-five (25%), 101 (47%), and 60 (28%) patients were classified as having poor-, intermediate-, and good-prognosis signatures, respectively. In multivariable Cox regression modeling, the poor-prognosis signature was significantly associated with death (P=.004), progression to advanced cirrhosis (P<.001), and development of HCC (P=.009). The 10-year rates of survival were 63%, 74%, and 85% and the annual incidences of HCC were 5.8%, 2.2%, and 1.5% for patients with poor-, intermediate-, and good-prognosis signatures, respectively. Conclusions: A 186-gene signature used to predict outcomes of patients with HCC is also associated with outcomes of patients with hepatitis C-related early-stage cirrhosis. This signature might be used to identify patients with cirrhosis in most need of surveillance and strategies to prevent their development of HCC. 216 liver biopsy specimens

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Different CircRNAs expression profiles between the HCC and liver cirrhosis

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