non-HCC Samples Research Articles

An analysis of the clinical significance of the TKI-resistant gene ZNF687 for hepatocellular carcinoma patients.

Novel treatments such as monotherapy and combined immunotherapy significantly extend overall survival (OS) for hepatocellular carcinoma (HCC) patients, but HCC is susceptible to treatment resistance during long-term therapy. The resistance mechanism to targeted drugs in HCC remains ambiguous, making research on HCC drug resistance targets crucial for the development of precision medicine. To investigate the transcriptional features, biological functions and potential clinical value of the tyrosine kinase inhibitor (TKI)-resistant gene ZNF687 in HCC. The TKI-resistant genes of HCC were identified using clustered regularly interspaced short palindromic repeats (CRISPR) in vitro screening. Then, the dependence of HCC cell lines on ZNF687 was investigated in silico. We collected global mRNA datasets of HCC tissue, integrated the mRNA expression characteristics of ZNF687 in HCC and explored the impact of ZNF687 on HCC patient prognoses using the Kaplan-Meier method (in silico). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analyses were then conducted, and a connectivity map and molecular docking technology were applied to find the underlying agent opposing ZNF687. In vitro, the guide RNA corresponding to ZNF687 was weakly detected in HCC cells, and ZNF687 deficiency was found to inhibit growth in HCC cell lines. ZNF687 mRNA was overexpressed and had a high discriminatory ability for HCC in 2,975 HCC samples, contrasting with 2,340 non-HCC samples. Moreover, an excessive ZNF687 transcript level was related to a worse overall survival (OS) prognosis. Histone modification, spliceosome, transcription coregulator activity, and nucleocytoplasmic transport were the most significant pathways for ZNF687 differential-related gene enrichment. Chaetocin was found to be a candidate compound and presented a strong affinity to ZNF687. ZNF687 represents a TKI-resistant and growth-dependent gene for HCC, the overexpression of which indicates poor OS for HCC patients. Additionally, ZNF687 is expected to be a druggable target for overcoming TKI resistance, and chaetocin may be a candidate therapeutic compound for ZNF687.

Monitoring hepatocellular carcinoma using tumor content in circulating cell-free DNA.

To evaluate the utility of tumor content in circulating cell-free DNA (ccfDNA) for monitoring hepatocellular carcinoma (HCC) throughout its natural history. We included 67 hepatitis B virus (HBV)-related HCC patients, of whom 17 had paired pre- and post-treatment samples, and 90 controls. Additionally, in a prospective cohort with HBV surface antigen-positive participants recruited in 2012 and followed up biannually with blood sample collections until 2019, we included 270 repeated samples before diagnosis from 63 participants who later developed HCC (pre-HCC samples). Shallow whole-genome sequencing and the ichorCNA method were used to analyze genome-wide copy number and tumor content in ccfDNA. High tumor content was associated with advanced tumor stage (P < 0.001) and a poor survival after HCC diagnosis (HR=12.35; 95% confidence interval [CI]=1.413-107.9; P = 0.023). Tumor content turned negative after surgery (P = 0.027), while remained positive after transarterial chemoembolization treatment (P = 0.578). In non-HCC samples, the mean tumor content (±SD) was 0.011 (±0.007) and had a specificity of 97.8% (95%CI=92.2%-99.7%). In pre-HCC samples, tumor content increased from 0.014 in 4 years before diagnosis to 0.026 in 1 year before diagnosis. The sensitivity of tumor content in detecting HCC increased from 22.7% (95%CI=11.5%-37.8%) within one year before diagnosis to 30.4% (95%CI=13.2%-52.9%) at BCLC stage 0/A, 81.8% (95%CI=59.7%-94.8%) at stage B, and 95.5% (95%CI=77.2%-99.9%) at stage C. The tumor content in ccfDNA is correlated with tumor burden and may help in monitoring HCC one year earlier than clinical diagnosis and in predicting patient prognosis.

Clinical Significance of Upregulation of EZH1 Expression in Hepatocellular Carcinoma Tissues.

The incidence and mortality of hepatocellular carcinoma (HCC) are increasing. It is urgent to develop more effective HCC biomarkers for diagnosis and treatment. This project intends to verify the expression of enhancer of zeste 1 polycomb repressive complex 2 subunit (EZH1) and its mechanism in HCC. This study integrates global microarray and high-throughput sequencing datasets, combined with internal immunohistochemistry, to analyze the expression and prognostic value of EZH1 in HCC. Functional enrichment analysis was conducted to investigate transcriptional targets, which were achieved by intersecting HCC over-expressed genes, EZH1 co-expressed genes and putative transcriptional targets. The relationship between EZH1 and anticancer drugs was detected by drug sensitivity analysis. In this study, 84 datasets from 40 platforms (3,926 HCC samples and 3,428 non-cancerous liver tissues) were included to show the high expression of EZH1 in HCC. Immunohistochemistry with 159 HCC samples and 62 non-HCC samples confirmed the high expression level. HCC patients with high EZH1 expression had worse survival prognoses. Gene ontology and Reactome analysis revealed that metabolism-related pathways, including autophagy, are critical for HCC. Interestingly, as one of the EZH1 potential transcriptional targets, autophagy-related 7 (ATG7) appeared in the above pathways. ATG7 was positively correlated with EZH1, upregulated in HCC, and mediated poor prognosis. Upregulation of EZH1 was found to be in contact with HCC anti-tumor drug resistance. The upregulation of EZH1 expression can promote the occurrence of HCC and lead to poor clinical progression and drug resistance; these effects may be mediated by regulating ATG7.

Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA

BackgroundEpigenetic variants carried by circulating tumor DNA can be used as biomarkers for early detection of hepatocellular carcinoma (HCC) by noninvasive liquid biopsy. However, traditional methylation analysis method, bisulfite sequencing, with disadvantages of severe DNA damage, is limited in application of low-amount cfDNA analysis.ResultsThrough mild enzyme-mediated conversion, enzymatic methyl sequencing (EM-seq) is ideal for precise determination of cell-free DNA methylation and provides an opportunity for HCC early detection. EM-seq of methylation control DNA showed that enzymatic conversion of unmethylated C to U was more efficient than bisulfite conversion. Moreover, a relatively large proportion of incomplete converted EM-seq reads contains more than 3 unconverted CH site (CH = CC, CT or CA), which can be removed by filtering to improve accuracy of methylation detection by EM-seq. A cohort of 241 HCC, 76 liver disease, and 279 normal plasma samples were analyzed for methylation value on 1595 CpGs using EM-seq and targeted capture. Model training identified 283 CpGs with significant differences in methylation levels between HCC and non-HCC samples. A HCC screening model based on these markers can efficiently distinguish HCC sample from non-HCC samples, with area under the curve of 0.957 (sensitivity = 90%, specificity = 97%) in the test set, performing well in different stages as well as in serum α-fetoprotein/protein induced by vitamin K absence-II negative samples.ConclusionFiltering of reads with ≥ 3 CHs derived from incomplete conversion can significantly reduce the noise of EM-seq detection. Based on targeted EM-seq analysis of plasma cell-free DNA, our HCC screening model can efficiently distinguish HCC patients from non-HCC individuals with high sensitivity and specificity.

A novel immune-related gene signature predicts the prognosis of hepatocellular carcinoma.

Immune-related genes play a key role in regulating the cancer immune microenvironment, influencing the overall survival of patients with hepatocellular carcinoma (HCC). Along with the rapid development of immunotherapy, identifying immune-related genes with prognostic value in HCC has attracted increasing attention. Here, we aimed to develop a prognostic signature based on immune-related genes. By investigating the transcriptome landscape of 374 HCC and 160 non-HCC samples in silico, a total of 2251 differentially expressed genes were identified. Among which, 183 differentially expressed immune-related genes were subjected to a univariate Cox proportional hazard model to screen for genes with possible prognostic significance. A 10-gene prognostic signature, including HLA-G, S100A9, S100A10, DCK, CCL14, NRAS, EPO, IL1RN, GHR and RHOA, was generated employing a multivariate Cox proportional hazard model. Kaplan–Meier and Receiver Operator Characteristic (ROC) curves were used to evaluate the prognostic utility of the 10-gene signature. Moreover, the underlying mechanisms of these genes were analyzed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. According to the Tumor Immune Estimation Resource (TIMER) database, our prognostic signature was significantly associated with tumor-infiltrating B cells, CD4 T cells, dendritic cells, macrophages and neutrophils. Our study provides a novel prognostic signature based on immune-related genes associated with clinical outco mes of HCC.

Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival

BackgroundHepatocellular carcinoma (HCC) is a common primary liver cancer with poor overall survival. We hypothesized that there are HCC-associated cell-types that impact patient survival.MethodsWe combined liver single nucleus (snRNA-seq), single cell (scRNA-seq), and bulk RNA-sequencing (RNA-seq) data to search for cell-type differences in HCC. To first identify cell-types in HCC, adjacent non-tumor tissue, and normal liver, we integrated single-cell level data from a healthy liver cohort (n = 9 non-HCC samples) collected in the Strasbourg University Hospital; an HCC cohort (n = 1 non-HCC, n = 14 HCC-tumor, and n = 14 adjacent non-tumor samples) collected in the Singapore General Hospital and National University; and another HCC cohort (n = 3 HCC-tumor and n = 3 adjacent non-tumor samples) collected in the Dumont-UCLA Liver Cancer Center. We then leveraged these single cell level data to decompose the cell-types in liver bulk RNA-seq data from HCC patients’ tumor (n = 361) and adjacent non-tumor tissue (n = 49) from the Cancer Genome Atlas (TCGA) multi-center cohort. For replication, we decomposed 221 HCC and 209 adjacent non-tumor liver microarray samples from the Liver Cancer Institute (LCI) cohort collected by the Liver Cancer Institute and Zhongshan Hospital of Fudan University.ResultsWe discovered a tumor-associated proliferative cell-type, Prol (80.4% tumor cells), enriched for cell cycle and mitosis genes. In the liver bulk tissue from the TCGA cohort, the proportion of the Prol cell-type is significantly increased in HCC and associates with a worse overall survival. Independently from our decomposition analysis, we reciprocally show that Prol nuclei/cells significantly over-express both tumor-elevated and survival-decreasing genes obtained from the bulk tissue. Our replication analysis in the LCI cohort confirmed that an increased estimated proportion of the Prol cell-type in HCC is a significant marker for a shorter overall survival. Finally, we show that somatic mutations in the tumor suppressor genes TP53 and RB1 are linked to an increase of the Prol cell-type in HCC.ConclusionsBy integrating liver single cell, single nucleus, and bulk expression data from multiple cohorts we identified a proliferating cell-type (Prol) enriched in HCC tumors, associated with a decreased overall survival, and linked to TP53 and RB1 somatic mutations.

Clinical significance and molecular mechanism of angiotensin-converting enzyme 2 in hepatocellular carcinoma tissues

ABSTRACT During the pandemic of the coronavirus disease 2019, there exist quite a few studies on angiotensin-converting enzyme 2 (ACE2) and SARS-CoV-2 infection, while little is known about ACE2 in hepatocellular carcinoma (HCC). The detailed mechanism among ACE2 and HCC still remains unclear, which needs to be further investigated. In the current study with a total of 6,926 samples, ACE2 expression was downregulated in HCC compared with non-HCC samples (standardized mean difference = −0.41). With the area under the curve of summary receiver operating characteristic = 0.82, ACE2 expression showed a better ability to differentiate HCC from non-HCC. The mRNA expression of ACE2 was related to the age, alpha-fetoprotein levels and cirrhosis of HCC patients, and it was identified as a protected factor for HCC patients via Kaplan–Meier survival, Cox regression analyses. The potential molecular mechanism of ACE2 may be relevant to catabolic and cell division. In all, decreasing ACE2 expression can be seen in HCC, and its protective role for HCC patients and underlying mechanisms were explored in the study.

Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing

BackgroundCirculating cell-free DNA (cfDNA) methylation has been demonstrated to be a promising approach for non-invasive cancer diagnosis. However, the high cost of whole genome bisulfite sequencing (WGBS) hinders the clinical implementation of a methylation-based cfDNA early detection biomarker. We proposed a novel strategy in low-pass WGBS (~ 5 million reads) to detect methylation changes in circulating cell-free DNA (cfDNA) from patients with liver diseases and hepatocellular carcinoma (HCC).MethodsThe effective small sequencing depth were determined by 5 pilot cfDNA samples with relative high-depth WGBS. CfDNA of 51 patients with hepatitis, cirrhosis, and HCC were conducted using low-pass WGBS. The strategy was validated in an independent WGBS cohort of 32 healthy individuals and 26 early-stage HCC patients. Fifteen paired tumor tissue and buffy coat samples were used to characterize the methylation of hepatitis B virus (HBV) integration regions and genome distribution of cfDNA.ResultsA significant enrichment of cfDNA in intergenic and repeat regions, especially in previously reported HBV integration sites were observed, as a feature of cfDNA and the bias of cfDNA release. Methylation profiles nearby HBV integration sites were a better indicator for hypomethylation of tumor genome comparing to Alu and LINE (long interspersed nuclear element) repeats, and were able to facilitate the cfDNA-based HCC prediction. Hypomethylation nearby HBV integration sites (5 kb flanking) was detected in HCC patients, but not in patients with hepatitis and cirrhosis (MethylHBV5k, median:0.61 vs 0.72, P = 0.0003). Methylation levels of integration sites certain candidate regions exhibited an area under the receiver operation curve (AUC) value > 0.85 to discriminate HCC from non-HCC samples. The validation cohort achieved the prediction performance with an AUC of 0.954.ConclusionsHypomethylation around viral integration sites aids low-pass cfDNA WGBS to serve as a non-invasive approach for early HCC detection, and inspire future efforts on tumor surveillance for oncovirus with integration activity.

Distribution and difference of APOBEC-induced mutations in the TpCpW context of HBV DNA between HCC and non-HCC.

Hepatitis B virus (HBV) DNA is vulnerable to editing by human apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like (APOBEC) cytidine deaminases. However, the distribution of APOBEC-induced mutations on HBV DNA is not well characterized. To this end, we obtained the HBV DNA sequence of HBV-infected individuals with and without hepatocellular carcinoma (HCC and non-HCC groups, respectively) from NCBI database and calculated the rapo values of APOBEC-induced TpCpW→TpKpW mutation prevalence in HBV DNA. The results showed that the APOBEC-induced mutations were mainly distributed in the minus strand of non-HCC-derived HBV DNA (rapo = 2.04), while the mutation on the plus-strand was weaker (rapo = 0.99). There were high APOBEC-induced mutation regions in the minus strand of HBV DNA 1 to 1000 nucleotides (nts) region and in the plus-strand of HBV DNA 1000 to 1500 nts region; the mutations in the 1 to 1000 nts region were mainly TpCpW→TpTpW mutation types (total T/G: 111/18) and a number of these were missense mutations (missense/synonymous: 35/94 in P gene, 17/15 in S gene, and 5/10 in X gene). The difference between minus to plus-strand rapo of HCC-derived HBV DNA (1.96) was greater than that of the non-HCC group (1.05). The minus-strand rapo of HCC-derived HBV DNA regions 1000 to1500nts and 1500 to 2000 nts (rapo = 4.2 and 4.2) was also higher than that of the same regions of non-HCC-derived HBV DNA (rapo = 1.2 and 1.1). Finally, the ratio of minus to plus-strand rapo was used to distinguish HCC-derived HBV DNA from non-HCC-derived HBV DNA. This study unraveled the distribution characteristics of APOBEC-induced mutations on double strands of HBV DNA from HCC and non-HCC samples. Our findings would help understand the mechanism of APOBECs on HBV DNA and may provide important insights for the screening of HCC.

BRG1 Promotes Hepatocarcinogenesis by Modulating CyclinB, D, E and Matrix Metalloproteinase 7

Background: The chromatin remodeler complex SWI/SNF plays an important role in physiological and pathological processes. The role of BRG1, a catalytic subunit of the SWI/SNF complex, that is known to be mutated in hepatocellular carcinoma (HCC) remains unclear. The aim of this work is to investigate the role of BRG1 on cell growth, cell invasion and its effect on the expression of target genes. Methods: We examined the expression of BRG1 in human tissue samples and HCC cell lines by qRT-PCR and Western Blot. We used siRNA to down-regulate BRG1 in human HCC cell lines. Cell growth and cell invasion of siRNA-treated cells was analysed by growth curves, colony formation assay and invasion assay. The expression of target genes after BRG1 downregulation was investigated by qRT-PCR. Results: BRG1 was found to be significantly increased in HCC samples compared to non-HCC samples. After BRG1 downregulation by siRNA, cell growth and cell invasion decreased in HuH7 and HepG2 cell lines. A positive modulating effect by BRG1 was shown for the expression of CyclinB, D, E and MMP7 in either HepG2 or HuH7 cell lines. Conclusion: Our results support the hypothesis that overexpression of BRG1 increases cell growth and cell invasion in HCC. Furthermore, the data highlight genes promoting proliferation and invasion that are being regulated by BRG1 during hepatocarcinogenesis. In particular, CyclinB, D, E and MMP7 appear to play a major role in this context and might be an important link between BRG1 expression and HCC development.

Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma

ObjectiveTo characterise gut microbiome in patients with hepatocellular carcinoma (HCC) and evaluate the potential of microbiome as non-invasive biomarkers for HCC.DesignWe collected 486 faecal samples from East China, Central China...

Abstract 3661: Comparison of ctDNA markers in matched urine and plasma from patients with liver cancer

Abstract Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer worldwide and a leading cause of global cancer mortality. Lack of efficient early detection and limited therapeutic options are two key contributing factors for the dismal prognosis of this disease. We have previously shown that urine contains fragmented, circulation-derived cell-free DNA that can be used for detection of circulating tumor DNA (ctDNA) if a tumor is present, suggesting urine as an alternative body fluid to plasma for cancer liquid biopsy. This study compared the detectability of five known HCC-associated DNA modifications, including genetic mutations (TERT -124 G&amp;gt;A, TP53 249 G&amp;gt;T and CTNNB1 hotspot at codon 32-45) and epigenetic methylation (mGSTP1, mRASSF1A), in matched urine and plasma from patients with liver cancer. In order to increase the sensitivity of detecting DNA modifications from the short, fragmented DNA templates, specialized short amplicon PCR assays were developed. To compare the detectability of HCC ctDNA markers in urine and plasma, 26 pairs of urine and plasma samples from HCC patients were identified and tested for five HCC ctDNA markers. In this cohort, 17 of 26 (65%) HCC samples had serum AFP above 20 ng/mL and were considered AFP-positive HCC. By using our HCC DNA biomarker panel composed of 5 assays, 22/26 (84.6%) urine and 23/26 (88.5%) plasma samples were found to have at least one DNA marker detected. In the combination of our HCC DNA biomarker panel with serum-AFP, the sensitivity of HCC detection in a liquid biopsy of urine and plasma as compared to serum-AFP alone (the current most used screening marker) increased from 65% to 92.3% for both urine plus AFP and plasma plus AFP. Further studies to include non-HCC samples (such as cirrhosis) to determine the specificity of the HCC DNA biomarker panel for liquid biopsy are in progress. In conclusion, our research provides the promising potential for HCC liquid biopsy screening in at-risk populations and precision medicine by using plasma, urine, or both as body fluids. Citation Format: Tai-Jung Lee, Surbhi Jain, Jamin D. Steffen, Adam M. Zhang, Chi-Tan Hu, James P. Hamilton, Ying-Hsiu Su. Comparison of ctDNA markers in matched urine and plasma from patients with liver cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3661.

Reciprocal antagonism between the netrin-1 receptor uncoordinated-phenotype-5A (UNC5A) and the hepatitis C virus.

Hepatitis C virus (HCV) infection is a leading cause of hepatocellular carcinoma (HCC), mainly through cirrhosis induction, spurring research for a deeper understanding of HCV versus host interactions in cirrhosis. The present study investigated crosstalks between HCV infection and UNC5A, a netrin-1 dependence receptor that is inactivated in cancer. UNC5A and HCV parameters were monitored in patients samples (n=550) as well as in in vitro. In patients, UNC5A mRNA expression is significantly decreased in clinical HCV(+) specimens irrespective of the viral genotype, but not in (HBV)(+) liver biopsies, as compared to uninfected samples. UNC5A mRNA is downregulated in F2 (3-fold; P=0.009), in F3 (10-fold, P=0.0004) and more dramatically so in F4/cirrhosis (44-fold; P<0.0001) histological stages of HCV(+) hepatic lesions compared to histologically matched HCV(-) tissues. UNC5A transcript was found strongly downregulated in HCC samples (33-fold; P<0.0001) as compared with non-HCC samples. In vivo, association of UNC5A transcripts with polyribosomes is decreased by 50% in HCV(+) livers. Consistent results were obtained in vitro showing HCV-dependent depletion of UNC5A in HCV-infected hepatocyte-like cells and in primary human hepatocytes. Using luciferase reporter constructs, HCV cumulatively decreased UNC5A transcription from the UNC5 promoter and translation in a UNC5A 5'UTR-dependent manner. Proximity ligation assays, kinase assays, as well as knockdown and forced expression experiments identified UNC5A as capable of impeding autophagy and promoting HCV restriction through specific impact on virion infectivity, in a cell death-independent and DAPK-related manner. In conclusion, while the UNC5A dependence receptor counteracts HCV persistence through regulation of autophagy in a DAPK-dependent manner, it is dramatically decreased in all instances in HCC samples, and specifically by HCV in cirrhosis. Such data argue for the evaluation of the implication of UNC5A in liver carcinogenesis.

BRG1 promotes hepatocarcinogenesis by regulating proliferation and invasiveness.

The chromatin remodeler complex SWI/SNF plays an important role in physiological and pathological processes. Brahma related gene 1(BRG1), a catalytic subunit of the SWI/SNF complex, is known to be mutated in hepatocellular carcinoma (HCC). However, its role in HCC remains unclear. Here, we investigate the role of BRG1 on cell growth and invasiveness as well as its effect on the expression of putative target genes. Expression of BRG1 was examined in human liver tissue samples and in HCC cell lines. In addition, BRG1 was silenced in human HCC cell lines to analyse cell growth and invasiveness by growth curves, colony formation assay, invasion assay and the expression of putative target genes. BRG1 was found to be significantly increased in HCC samples compared to non-HCC samples. In addition, a declined proliferation rate of BRG1-silenced human HCC cell lines was associated with a decrease of expression of cyclin family members. In line with a decreased invasiveness of BRG1-siRNA-treated human HCC cell lines, down-regulation of MMP7 was detected. These results support the hypothesis that overexpression of BRG1 increases cell growth and invasiveness in HCC. Furthermore, the data highlight cyclin B, E and MMP7 to be associated with BRG1 during hepatocarcinogenesis.

Abstract 733: Detection of HCC-derived major HBV integration junctions in urine and their implications for driver identification

Abstract Chronic Hepatitis B Virus (HBV) infection is a major etiology of hepatocellular carcinoma (HCC), a leading cause of cancer mortality worldwide. Integration of HBV DNA into the host genome occurs during the course of chronic infection. Integrated HBV DNA is observed in most of HBV-associated HCC. The integration junctions derived from the original tumor cell become abundant (referred to as major integration junctions) in the infected liver because of clonal expansion during tumor development. Detection of circulating DNA containing these tumor-derived integration junctions may therefore be useful for cancer detection. We have adapted a method known as Primer Extension Capture (PEC) to enrich integrated HBV DNA for next-generation sequencing (NGS). Our initial studies using this approach to enrich the HBV DR1-2 region (a common site for HBV integrated breakpoints) identified major integration junctions from HBV-HCC tissue samples and matched urine. Further analysis revealed that most recurrently targeted integrations from these HCC tumors have previously reported involvement in cancer. This suggested that identification of recurrently targeted genes is applicable for driver identification. Interestingly, we show how HBV targets the TERT promoter in a localized region even though no two TERT junctions examined are identical. We have further developed this PEC to enrich for the entire HBV genome and applied it to (i) liver tissue DNA from 20 matched HCC and adjacent non-HCC samples, and (ii) DNA from urine of 20 hepatitis, 20 cirrhosis and 20 HCC patients. The HBV enriched libraries were sequenced by NGS and the integration events were analyzed using the in-house developed software. The complexity of HBV junction sites in HCC and non-HCC tissue and urine derived circulating DNA is reported. Our approach has potential to be used for liquid biopsies to study the complexities of HBV integrations in chronic HBV infection and carcinogenesis, and to identify HCC-related DNA modifications for early detection and disease management. Citation Format: Selena Y. Lin, Jamin D. Steffen, Yih-Ping Su, Surbhi Jain, Ting-Tsung Chang, Wei Song, Ying-Hsiu Su. Detection of HCC-derived major HBV integration junctions in urine and their implications for driver identification [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 733. doi:10.1158/1538-7445.AM2017-733

Expression of Maternal Embryonic Leucine Zipper Kinase (MELK) Correlates to Malignant Potentials in Hepatocellular Carcinoma

Maternal embryonic leucine zipper kinase (MELK) is categorized as a member of AMP-activated protein kinase families. Various MELK-associated cellular and biological processes affect multiple stages of tumorigenesis. The aim of the present study was to clarify the relationship between MELK expression and hepatocellular carcinoma (HCC) clinicopathological features. In thirty conserved frozen primary HCC and non-HCC samples MELK mRNA expression was examined by quantitative real-time polymerase chain reaction (PCR). HCC tissues exhibited significantly higher expression levels compared to non-cancerous tissues. MELK expression had a statistically parallel correlation between tumor diameter and protein induced by vitamin K absence or antagonist II (PIVKA-II). The overall survival (OS) and recurrence-free survival (RFS) of the low MELK mRNA expression group was significantly longer than that of the high MELK mRNA expression group. MELK expression in HCC is extremely intense compared to its expression reported in other types of cancer. MELK could be a promising effective tumor marker of HCC and further consideration is needed.

GIT1 is a novel prognostic biomarker and facilitates tumor progression via activating ERK/MMP9 signaling in hepatocellular carcinoma.

AimMultiple studies have revealed that G-protein-coupled receptor kinase-interacting protein 1 (GIT1) is overexpressed in many cancers and facilitates tumor progression. However, the role of GIT1 in hepatocellular carcinoma (HCC) remains unclear.MethodsGIT1 expression was detected in cell lines and 130 pairs of HCC and matched adjacent noncancerous samples. Transwell assay, flow cytometry, caspase 3/7 activity assay, 5-bromodeoxyuridine cell proliferation assay, and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay were used to assess invasion, migration, apoptosis, and proliferation of HCC cells. Furthermore, GIT1 expression was detected by immunohistochemistry to evaluate its correlation with phospho-extracellular signal-regulated kinase (p-ERK)1/2. The regulatory effect of GIT1 on ERK1/2, p-ERK1/2, and matrix metalloproteinase-9 (MMP9) in HCC cells was confirmed by immunoblotting.ResultsIn this study, we demonstrated that GIT1 was more highly expressed in HCC samples than that in non-HCC samples, and overexpression of GIT1 was correlated with clinicopathological features of poor prognosis. Clinical analysis demonstrated that GIT1 is an independent prognostic biomarker for predicting overall survival and disease-free survival of patients with HCC. In vitro studies showed that downregulation of GIT1 facilitated HCC cell apoptosis and repressed HCC cell invasion, migration, and proliferation. Overexpression of GIT1 is associated with p-ERK1/2 amplification in HCC tissues. Moreover, downregulation of GIT1 resulted in inactivation of ERK signaling and downregulation of MMP9.ConclusionOur findings indicate that GIT1 is an independent prognostic biomarker and facilitates HCC progression via activating ERK/MMP9 signaling.

Erratum: Liver cancer initiation is controlled by AP-1 through SIRT6-dependent inhibition of survivin

Nat. Cell Biol. 14, 1203–1211 (2012); published online 7th October 2012; corrected online 14 March 2013 During the preparation of Fig. 8c, the image of c-Fos staining on non-HCC samples was inadvertantly duplicated and presented also as SIRT6 staining of non-HCC samples. The correct Fig. 8c is shownbelow.

The Silencing of RECK Gene is Associated with Promoter Hypermethylation and Poor Survival in Hepatocellular Carcinoma

Background: To evaluate the promoter methylation status of RECK gene and mRNA expression in patients with hepatocellular carcinoma (HCC).Methods: We analyzed RECK methylation by MSP, and RECK mRNA by real-time PCR in 74 HCC. The liver cell lines (7721, Chang and Hep-G2) were treated with 5-Aza-CdR and TSA.Results: RECK mRNA were lower in HCC tissues (Mean -∆Ct = -3.29) than that in Non-Hcc tissues (Mean -∆Ct = -2.42). Expression of RECK was elevated in only 24 (32.43%) of the 74 HCC patients but decreased (-∆∆Ct<0) in 50 (67.57%) of the patients. RECK promoter was hypermethylated in 55.4% (41/74) of HCCs, and in only 17.6% (13/74) of Non-Hcc samples. RECK mRNA were lower in HCC patients with hypermethylation (∆MI>=0.5) (Mean -∆∆Ct = -1.75) than those with demethylation (∆MI<0.5) (Mean -∆∆Ct = 0.05), and there is a decreased tendency for RECK mRNA in HCC patients with promoter hypermethylation (p = 0.002). There was a significantly correlation found between RECK mRNA and poor survival after surgery. After treated by 5-Aza-CdR and TSA, we found that RECK mRNA induced different changes in 7721, Chang and Hep-G2 cells. And RECK demethylation also induced by epigenetic inhibitors.Conclusion: The results suggested that the hypermethylation may lead to promoter silencing of RECK mRNA and associated with poor survival in HCC.

Altered expression of vascular endothelial growth factor, fibroblast growth factor‐2 and endostatin in patients with hepatocellular carcinoma

Advanced hepatocellular carcinoma (HCC) in humans is characterized by hypervascularity. In the present study, the expressions of vascular endothelial growth factor (VEGF), basic fibroblast growth factor (FGF-2) and endostatin were analyzed in patients with chronic liver disease to clarify the effect of these major angiogenic factors. Serum concentrations of VEGF, FGF-2 and endostatin in 24 patients with HCC, 16 patients with liver cirrhosis (LC) and 13 healthy volunteers were measured by enzyme-linked immunosorbent assay. The expression of VEGF in 21 surgically resected HCC samples was analyzed by immunohistochemistry, and that of VEGF isoforms in 15 HCC samples was assessed by reverse transcriptase-polymerase chain reaction (RT-PCR). Serum VEGF, FGF-2 and endostatin concentrations were significantly elevated in patients with HCC compared with healthy volunteers; but there was no significant difference between patients with HCC and those with non-HCC liver disease. Immunohistochemical analysis showed that VEGF protein was strongly expressed in both well-differentiated HCC cells and non-cancerous hepatocytes, whereas in moderately and poorly differentiated HCC the expression was stronger in the endothelial cells (EC) lining intratumor vessels than in the cancer cells. On RT-PCR for VEGF isoforms it was found that VEGF-121, VEGF-165 and VEGF-189 were expressed in all but one of the HCC samples and in all corresponding non-HCC samples. The results suggest that VEGF, FGF-2, and endostatin concentrations are elevated prior to the emergence of HCC and that the distribution of VEGF changes dynamically during the development of HCC.