RNA-Seq data of tumors and paired adjacent tissues from 15 HCC patients
Ontology highlight
ABSTRACT: Hepatitis B virus (HBV) mutations promote the occurrence of hepatocellular carcinoma (HCC). However, their association with postoperative prognosis remains obscure. Here, we aimed to characterize the evolution of HBV in different sources and identify viral mutation pattern that facilitates postoperative prognosis of HCC.
Project description:Hepatic cirrhosis or advanced fibrosis caused by chronic hepatitis may be the main risk factor contributing to the occurrence of HCC. Growing clinical evidence show that patients with hepatic cirrhosis or advanced fibrosis may have a 7-fold higher incidence rate of HCC than those without, suggesting a crucial role of inflammation-carcinogenesis malignant transformation in HCC development and progression. We used microarrays to detail the global programme of gene expression underlying inflammation-carcinogenesis malignant transformation in HCC and identified distinct classes of up-regulated and down-regulated genes during this process
Project description:Hepatocellular carcinoma is a poor prognosis cancer leading to death, with high rate of recurrence after curative therapy. The functions of Covalently closed circular RNA (circRNAs) in HCC recurrence have remained largely unknown. In this study, we generated multi-omics data to explore the circRNAs involving in the HCC recurrence.
Project description:Hepatocellular carcinoma is a poor prognosis cancer leading to death, with high rate of recurrence after curative therapy. The functions of Covalently closed circular RNA (circRNAs) in HCC recurrence have remained largely unknown. In this study, we generated multi-omics data to explore the circRNAs involving in the HCC recurrence.
Project description:Hepatocellular carcinoma is a poor prognosis cancer leading to death, with high rate of recurrence after curative therapy. The functions of Covalently closed circular RNA (circRNAs) in HCC recurrence have remained largely unknown. In this study, we generated multi-omics data to explore the circRNAs involving in the HCC recurrence.
Project description:Global expression profiling of miRNAs in liver tissue of HBV infected HCC and chronic hepatitis B (CHB) with no fibrosis was evaluated. A total of 40 differentially expressed miRNAs were identified in HCC. Top 10 miRNAs are validated in more numbers of HCC tisuues by qRT PCR. Finally six miRNAs (miR-15a, miR-16, miR-21,miR-29b-3p, miR-126, miR-142-3p, miR-193a-5p) showed similar expression pattern in both microarray and qRT PCR Differential expression analysis of microRNAs in HBV infected HCC (n=4) compared to CHB patients with no fibrosis (n=8) as control.
Project description:We applied small RNA Solexa sequencing technology to identify microRNA expression in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver, a severe chronic hepatitis B liver, two HBV-related hepatocellular carcinoma (HCC), an hepatitis C virus (HCV)-related HCC, and an HCC without HBV or HCV infection. All samples were collected with the informed consent of the patients and the experiments were approved by the ethics committee of Second Military Medical University, Shanghai, China. We investigated the miRNome in human normal liver and suggested some deregulated abundantly expressed microRNAs in HCC. center_name: National Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, China. Examination of miRNome in human liver samples from surgically removed liver tissues including three normal liver tissues (distal normal liver tissue of liver hemangioma), an hepatitis B virus (HBV)-infected liver tissue, a severe chronic hepatitis B liver tissue, an HBV-related hepatocellular carcinoma (HCC) tissue and adjacent liver tissues of different regions,an HBV-related HCC tissue and adjacent liver tissue, an hepatitis C virus (HCV)-related HCC tissue and adjacent liver tissue, and an HCC without HBV or HCV infection and adjacent liver tissue. All 15 human liver tissue samples.
Project description:In this study, we collected both the tumors and tumor-adjacent tissues from HBV-positive and HBV-negative HCC patients, conducted scRNA-seq, and compared the immune microenvironment of HBV-positive and HBV-negative tumors.
Project description:Purpose: Chronic Hepatitis B virus (HBV) infection leads to liver fibrosis which is a major risk factor in Hepatocellular carcinoma (HCC) and an independent risk factor of recurrence after HCC tumor resection. HBV genome can be inserted into human genome, and chronic inflammation may trigger somatic mutations. Several studies characterized HBV integration sites in HCC patients with regard to frequently occurring hotspots. However, how HBV integration and other genomic changes contribute to the risk of tumor recurrence with regard to different degree of liver fibrosis is not clearly understood. In this study, we aim to find potential molecular mechanisms underlying tumor recurrence of HBV-associated HCC (HBV-HCC) with different degree of liver fibrosis. Methods: We performed RNA sequencing of 21 pairs of tumor and non-neoplastic liver tissues of HBV-HCC patients and performed comprehensive genomic analysis of our RNAseq data and public available sequencing data related to HBV-HCC. We developed a robust pipeline for sensitively identifying HBV integration sites based on sequencing data. Simulations with sequencing data showed that our method outperformed existing methods. We also compared SNPs of each sample with SNPs in cancer census database and inferred patient’s pathogenic SNP loads in tumor and non-neoplastic liver tissues. Conclusions: The HBV-integration and pathogenic SNP load patterns for HCC recurrence risk vary depending on liver fibrosis stage, suggesting potentially different tumorigenesis mechanisms for low and high liver fibrosis patients.
Project description:BACKGROUND & AIMS: Expression of microRNAs (miRNAs) in metastatic foci of hepatocellular carcinoma (HCC) is unknown. We identified metastasis-related miRNAs in recurrent cases after living donor liver transplantation (LDLT). Methods: We performed a comprehensive analysis of primary HCC (T), noncancerous liver (N), and resected recurrent (metastatic) HCC (M) using microarray analyses to identify metastasis-related miRNAs in in three patients with post-transplant recurrence. The RNA samples from three cases that underwent resection of recurrences after LDLT were made available for miRNA microarray analysis. The three cases included a 57-year-old man (case 1) with peritoneal recurrence and infected by hepatitis B virus (HBV), and a 48-year-old woman (case 2) and a 51-year-old man (case 3) with lung recurrences and hepatitis C virus (HCV) infection. Microarray analysis was performed for each RNA sample from the (T), (N) in the explanted liver, and (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control. The RNA samples from three cases that underwent resection of recurrences after living donor liver transplantation were made available for microRNA microarray analysis. Microarray analysis was performed for each RNA sample from the primary HCC (T), noncancerous liver (N) in the explanted liver, and resected recurrent metastatic HCC (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control.
Project description:We collected primary HCC tumor and matched peritumor tissues from 10 HBV-related HCC patients to analyze the circRNA profile and its alteration in HCC through RNA-seq. A total of 92,204 circRNAs were identified in these 20 tissue samples with more than two unique back-spliced reads, of which 42 circRNAs were dysregulated in all HCC tumor tissue samples when compared with matched peritumor tissues (fold change≥2 and p<0.05). As the detailed analysis of circRNA profiles in HCC, our study undoubtedly improved the comprehensiveness of HCC associated circRNA profiles.