Specific gene-expression profiles of noncancerous liver tissue predict the risk for multicentric occurrence of hepatocellular carcinoma in hepatitis C virus-positive patients

Proline Isomerization: From the Chemistry and Biology to Therapeutic Opportunities

Proline isomerization, the process of interconversion between the cis- and trans-forms of proline, is an important and unique post-translational modification that can affect protein folding and conformations, and ultimately regulate protein functions and biological pathways. Although impactful, the importance and prevalence of proline isomerization as a regulation mechanism in biological systems have not been fully understood or recognized. Aiming to fill gaps and bring new awareness, we attempt to provide a wholistic review on proline isomerization that firstly covers what proline isomerization is and the basic chemistry behind it. In this section, we vividly show that the cause of the unique ability of proline to adopt both cis- and trans-conformations in significant abundance is rooted from the steric hindrance of these two forms being similar, which is different from that in linear residues. We then discuss how proline isomerization was discovered historically followed by an introduction to all three types of proline isomerases and how proline isomerization plays a role in various cellular responses, such as cell cycle regulation, DNA damage repair, T-cell activation, and ion channel gating. We then explore various human diseases that have been linked to the dysregulation of proline isomerization. Finally, we wrap up with the current stage of various inhibitors developed to target proline isomerases as a strategy for therapeutic development.

Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma

The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, including real-time quantitative reverse transcription PCR, microarrays, and RNA sequencing, has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene signatures. In recent years, the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment, which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic targets. In the present article, we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains: primary cancer cells; carcinogenic stimuli; and tumor microenvironment. We provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics, surveillance, and treatment of HCC recurrence.

The Role of Chronic Liver Diseases in the Emergence and Recurrence of Hepatocellular Carcinoma: An Omics Perspective

Hepatocellular carcinoma (HCC) typically develops from a background of cirrhosis resulting from chronic inflammation. This inflammation is frequently associated with chronic liver diseases (CLD). The advent of next generation sequencing has enabled extensive analyses of molecular aberrations in HCC. However, less attention has been directed to the chronically inflamed background of the liver, prior to HCC emergence and during recurrence following surgery. Hepatocytes within chronically inflamed liver tissues present highly activated inflammatory signaling pathways and accumulation of a complex mutational landscape. In this altered environment, cells may transform in a stepwise manner toward tumorigenesis. Similarly, the chronically inflamed environment which persists after resection may impact the timing of HCC recurrence. Advances in research are allowing an extensive epigenomic, transcriptomic and proteomic characterization of CLD which define the emergence of HCC or its recurrence. The amount of data generated will enable the understanding of oncogenic mechanisms in HCC from the CLD perspective and provide the possibility to identify robust biomarkers or novel therapeutic targets for the treatment of primary and recurrent HCC. Importantly, biomarkers defined by the analysis of CLD tissue may permit the early detection or prevention of HCC emergence and recurrence. In this review, we compile the current omics based evidence of the contribution of CLD tissues to the emergence and recurrence of HCC.

Pathological predictive factors for late recurrence of hepatocellular carcinoma in chronic liver disease

BACKGROUND & AIMS

Late recurrence of hepatocellular carcinoma (HCC) is regarded as de novo HCC from chronic hepatitis. This study investigated clinicopathological and molecular factors to develop a nomogram for predicting late HCC recurrence (>2 years after curative resection).

METHODS

The training and validation cohorts included HCC patients with a major aetiology of hepatitis B who underwent curative resection. Clinicopathological features including lobular and porto-periportal inflammatory activity, fibrosis and liver cell change were evaluated. Proteins encoded by genes related to late recurrence were identified using a reverse phase protein array of 95 non-tumourous liver tissues. Immunoexpression of phosphorylated signal transducer and activator of transcription 3 (pSTAT3), plasminogen activator inhibitor-1, phosphorylated extracellular signal-regulated kinase 1/2 (pERK1/2) and spleen tyrosine kinase (SYK) was measured.

RESULTS

Late recurrence occurred in 74/402 (18%) and 47/243 (19%) in the training and validation cohorts respectively. Cirrhosis, moderate/severe lobular inflammatory activity, and expression of pSTAT3, pERK1/2, and SYK proteins correlated to the gene signature of hepatocyte injury and regeneration were independently associated with late recurrence, with odds ratios (95% confidence intervals) of 2.0 (1.2-3.3), 21.1 (4.3-102.7) and 6.0 (2.1-17.7) respectively (P < .05 for all). A nomogram based on these variables (histological parameters and immunohistochemical marker combinations) showed high reliability in both the training and validation cohorts (Harrell's C index: 0.701 and 0.716; 95% confidence intervals: 0.64-0.76 and 0.64-0.79 respectively).

CONCLUSIONS

The combination of pSTAT3, pERK1/2 and SYK immunoexpression with high lobular inflammatory activity and cirrhosis (fibrosis) predicts late HCC recurrence.

Hepatitis B virus P protein initiates glycolytic bypass in HBV-related hepatocellular carcinoma via a FOXO3/miRNA-30b-5p/MINPP1 axis

Background

Hepatitis B virus (HBV) infection is a crucial risk factor for hepatocellular carcinoma (HCC). However, its underlying mechanism remains understudied.

Methods

Microarray analysis was conducted to compare the genes and miRNAs in liver tissue from HBV-positive and HBV-negative HCC patients. Biological functions of these biomarkers in HBV-related HCC were validated via in vitro and in vivo experiments. Furthermore, we investigated the effect of HBV on the proliferation and migration of tumor cells in HBV-positive HCC tissue. Bioinformatics analysis was then performed to validate the clinical value of the biomarkers in a large HCC cohort.

Results

We found that a gene, MINPP1 from the glycolytic bypass metabolic pathway, has an important biological function in the development of HBV-positive HCC. MINPP1 is down-regulated in HBV-positive HCC and could inhibit the proliferation and migration of the tumor cells. Meanwhile, miRNA-30b-5p was found to be a stimulator for the proliferation of tumor cell through glycolytic bypass in HBV-positive HCC. More importantly, miRNA-30b-5p could significantly downregulate MINPP1 expression. Metabolic experiments showed that the miRNA-30b-5p/MINPP1 axis is able to accelerate the conversion of glucose to lactate and 2,3-bisphosphoglycerate (2,3-BPG). In the HBV-negative HCC cells, miRNA-30b-5p/MINPP1 could not regulate the glycolytic bypass to promote the tumorigenesis. However, once HBV was introduced into these cells, miRNA-30b-5p/MINPP1 significantly enhanced the proliferation, migration of tumor cells, and promoted the glycolytic bypass. We further revealed that HBV infection promoted the expression of miRNA-30b-5p through the interaction of HBV protein P (HBp) with FOXO3. Bioinformatics analysis on a large cohort dataset showed that high expression of MINPP1 was associated with favorable survival of HBV-positive HCC patients, which could lead to a slower progress of this disease.

Conclusion

Our study found that the HBp/FOXO3/miRNA-30b-5p/MINPP1 axis contributes to the development of HBV-positive HCC cells through the glycolytic bypass. We also presented miRNA-30b-5p/MINPP1 as a novel biomarker for HBV-positive HCC early diagnosis and a potential pharmaceutical target for antitumor therapy.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13046-020-01803-8.

An Immune Gene Expression Signature Associated With Development of Human Hepatocellular Carcinoma Identifies Mice That Respond to Chemopreventive Agents

BACKGROUND & AIMS

Cirrhosis and chronic inflammation precede development of hepatocellular carcinoma (HCC) in approximately 80% of cases. We investigated immune-related gene expression patterns in liver tissues surrounding early-stage HCCs and chemopreventive agents that might alter these patterns to prevent liver tumorigenesis.

METHODS

We analyzed gene expression profiles of nontumor liver tissues from 392 patients with early-stage HCC (training set, N = 167 and validation set, N = 225) and liver tissue from patients with cirrhosis without HCC (N = 216, controls) to identify changes in expression of genes that regulate the immune response that could contribute to hepatocarcinogenesis. We defined 172 genes as markers for this deregulated immune response, which we called the immune-mediated cancer field (ICF). We analyzed the expression data of liver tissues from 216 patients with cirrhosis without HCC and investigated the association between this gene expression signature and development of HCC and outcomes of patients (median follow-up, 10 years). Human liver tissues were also analyzed by histology. C57BL/6J mice were given a single injection of diethylnitrosamine (DEN) followed by weekly doses of carbon tetrachloride to induce liver fibrosis and tumorigenesis. Mice were then orally given the multiple tyrosine inhibitor nintedanib or vehicle (controls); liver tissues were collected and histology, transcriptome, and protein analyses were performed. We also analyzed transcriptomes of liver tissues collected from mice on a choline-deficient high-fat diet, which developed chronic liver inflammation and tumors, orally given aspirin and clopidogrel or the anti-inflammatory agent sulindac vs mice on a chow (control) diet.

RESULTS

We found the ICF gene expression pattern in 50% of liver tissues from patients with cirrhosis without HCC and in 60% of nontumor liver tissues from patients with early-stage HCC. The liver tissues with the ICF gene expression pattern had 3 different features: increased numbers of effector T cells; increased expression of genes that suppress the immune response and activation of transforming growth factor β signaling; or expression of genes that promote inflammation and activation of interferon gamma signaling. Patients with cirrhosis and liver tissues with the immunosuppressive profile (10% of cases) had a higher risk of HCC (hazard ratio, 2.41; 95% confidence interval, 1.21-4.80). Mice with chemically induced fibrosis or diet-induced steatohepatitis given nintedanib or aspirin and clopidogrel down-regulated the ICF gene expression pattern in liver and developed fewer and smaller tumors than mice given vehicle.

CONCLUSIONS

We identified an immune-related gene expression pattern in liver tissues of patients with early-stage HCC, called the ICF, that is associated with risk of HCC development in patients with cirrhosis. Administration of nintedanib or aspirin and clopidogrel to mice with chronic liver inflammation caused loss of this gene expression pattern and development of fewer and smaller liver tumors. Agents that alter immune regulatory gene expression patterns associated with carcinogenesis might be tested as chemopreventive agents in patients with cirrhosis.

Diagnostic and therapeutic potential of the gut microbiota in patients with early hepatocellular carcinoma

The gut microbiota is involved in the maintenance of the homeostasis of the human body and its alterations are associated with the development of different pathological conditions. The liver is the organ most exposed to the influence of the gut microbiota, and recently important connections between the intestinal flora and hepatocellular carcinoma (HCC) have been described. In fact, HCC is commonly associated with liver cirrhosis and develops in a microenvironment where inflammation, immunological alterations, and cellular aberrations are dramatically evident. Prevention and diagnosis in the earliest stages are still the most effective weapons in fighting this tumor. Animal models show that the gut microbiota can be involved in the promotion and progression of HCC directly or through different pathogenic mechanisms. Recent data in humans have confirmed these preclinical findings, shedding new light on HCC pathogenesis. Limitations due to the different experimental design, the ethnic and hepatological setting make it difficult to compare the results and draw definitive conclusions, but these studies lay the foundations for a pathogenetic redefinition of HCC. Therefore, it is evident that the characterization of the gut microbiota and its modulation can have an enormous diagnostic, preventive, and therapeutic potential, especially in patients with early stage HCC.

Studying the frequency of aberrant DNA methylation of APC, P14, and E-cadherin genes in HCV-related hepatocarcinogenesis

BACKGROUND

Data about the molecular pathogenesis of hepatitis C-related hepatocellular carcinoma (HCC) are still challenging.

OBJECTIVES

Therefore, we tried to investigate the epigenetic study of three nominated genes (APC, P14, and E-cadherin) in the pathogenesis of HCV-related HCC in Egyptian.

METHODS

Between March 2016 and March 2017, the DNA methylation, and quantification using (epigenetic ELISA kit) for E-cadherin, APC, and P14 genes were studied in three groups of patients: HCV related liver cirrhosis without HCC group (LC-group; n= 20), HCC on top of HCV-related cirrhosis (HCC-group; n= 20), and a third apparently healthy control group (control-group; n= 10).

RESULTS

E-cad methylation showed non-significant differences between groups. P14 methylation was occurred only in HCC-group (45%). APC methylation was the highest in HCC group (70%). Methylation level was high in HCC group in comparison to both LC and control groups (P< 0.001). DNA methylation at a cutoff point > 2.9 ng/ml predicts HCC in LC-group with 90% sensitivity and 80% specificity and at level > 2.3 ng/ml had 95% sensitivity and 90% specificity in control-group. The pooled sensitivity, specificity, positive and negative predictive values and accuracy were 90%, 60%, 69.2, 85.7 and 75% respectively.

CONCLUSION

Aberrant DNA methylation of multiple genes is associated with disease progression in HCV related cirrhosis. Moreover, early detection of promotor methylation of these may sever as good biomarker for early detection and therapeutic targets in high risk patients.

Chronic liver injury promotes hepatocarcinoma cell seeding and growth, associated with infiltration by macrophages

Ninety percent of hepatocarcinoma (HCC) develops in a chronically damaged liver. Interactions between non‐tumor stromal components, especially macrophages, and cancer cells are still incompletely understood. Our aim was to determine whether a chronically injured liver represents a favorable environment for the seeding and growth of HCC cells, and to evaluate the potential roles of macrophages infiltrated within the tumor. HCC cells were injected into the liver in healthy mice (healthy liver group [HL]) and in mice chronically treated with carbon tetrachloride (CCl₄) for 7 weeks (CCl₄ 7w group). Livers were examined for the presence of tumor 2 weeks post‐injection. Tumor and non‐tumor tissues were analyzed for macrophage infiltration, origin (monocytes‐derived vs resident macrophages) and polarization state, and MMP production. Fifty‐three percent of mice developed neoplastic lesion in the HL group whereas a tumor lesion was found in all livers in the CCl₄ 7w group. Macrophages infiltrated more deeply the tumors of the CCl₄ 7w group. Evaluation of factors involved in the recruitment of macrophages and of markers of their polarization state was in favor of prominent infiltration of M2 pro‐tumor monocyte‐derived macrophages inside the tumors developing in a chronically injured liver. MMP‐2 and ‐9 production, attributed to M2 pro‐tumor macrophages, was significantly higher in the tumors of the CCl₄ 7w group. In our model, chronic liver damage promotes cancer development. Our results suggest that an injured background favors the infiltration of M2 pro‐tumor monocyte‐derived macrophages. These secrete MMP‐2 and MMP‐9 that promote tumor progression.

Prognostic Biomarker Identification Through Integrating the Gene Signatures of Hepatocellular Carcinoma Properties

Many molecular classification and prognostic gene signatures for hepatocellular carcinoma (HCC) patients have been established based on genome-wide gene expression profiling; however, their generalizability is unclear. Herein, we systematically assessed the prognostic effects of these gene signatures and identified valuable prognostic biomarkers by integrating these gene signatures. With two independent HCC datasets (GSE14520, N = 242 and GSE54236, N = 78), 30 published gene signatures were evaluated, and 11 were significantly associated with the overall survival (OS) of postoperative HCC patients in both datasets. The random survival forest models suggested that the gene signatures were superior to clinical characteristics for predicting the prognosis of the patients. Based on the 11 gene signatures, a functional protein-protein interaction (PPI) network with 1406 nodes and 10,135 edges was established. With tissue microarrays of HCC patients (N = 60), we determined the prognostic values of the core genes in the network and found that RAD21, CDK1, and HDAC2 expression levels were negatively associated with OS for HCC patients. The multivariate Cox regression analyses suggested that CDK1 was an independent prognostic factor, which was validated in an independent case cohort (N = 78). In cellular models, inhibition of CDK1 by siRNA or a specific inhibitor, RO-3306, reduced cellular proliferation and viability for HCC cells. These results suggest that the prognostic predictive capacities of these gene signatures are reproducible and that CDK1 is a potential prognostic biomarker or therapeutic target for HCC patients.

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Eleven gene signatures have promising values for the OS prediction of HCC patients who undergo the surgical treatments.

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Prediction results for the 11 gene signatures were in moderate concordance, and genes included were functionally linked.

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CDK1 is an independent prognostic biomarker and a potential therapeutic target for HCC patients.

Various gene signatures for hepatocellular carcinoma (HCC) patients have been reported; however, their generalizability is unclear. Using two HCC patient datasets, we assessed the prognostic values of these gene signatures and identified 11 gene signatures that were associated with overall survival for postoperative HCC patients in both cohorts. Genes derived from these signatures formed a functional protein-protein interaction network with 1,406 nodes and 10,135 edges, and the expression levels of three core genes, RAD21, CDK1, and HDAC2, in the network were negatively associated with the overall survival of HCC patients. Further studies suggested that CDK1 is an independent prognostic factor and that it is a potential therapeutic target for HCC patients.

Macrophage colony-stimulating factor expressed in non-cancer tissues provides predictive powers for recurrence in hepatocellular carcinoma

AIM

To investigate the role of macrophage colony-stimulating factor (M-CSF) in patients with hepatocellular carcinoma (HCC) after surgery.

METHODS

Expression of M-CSF, distribution of M2 macrophages (MΦs), and angiogenesis were assessed in the liver, including tumors and peritumoral liver tissues. The prognostic power of these factors was assessed. Mouse isolated hepatic MΦs or monocytes were cultured with media containing M-CSF. The concentration of vascular endothelial growth factor (VEGF) in media was assessed. Furthermore, the role of the M-CSF-matured hepatic MΦs on proliferation of the vascular endothelial cell (VEC) was investigated.

RESULTS

A strong correlation between the expressions of M-CSF and CD163 was observed in the peritumoral area. Also, groups with high density of M-CSF, CD163 or CD31 showed a significantly shorter time to recurrence (TTR) than low density groups. Multivariate analysis revealed the expression of M-CSF or hepatic M2MΦs in the peritumoral area as the most crucial factor responsible for shorter TTR. Moreover, the expression of M-CSF and hepatic M2MΦs in the peritumoral area had better predictable power of overall survival. Values of VEGF in culture media were significantly greater in the hepatic MΦs compared with the monocytes. Proliferation of the VEC was greatest in the cells co-cultured with hepatic MΦs when M-CSF was present in media.

CONCLUSION

M-CSF increases hepatocarcinogenesis, most likely by enhancing an angiogenic factor derived from hepatic MΦ and could be a useful target for therapy against HCC.

Molecular alterations in the carcinogenesis and progression of hepatocellular carcinoma: Tumor factors and background liver factors

Although hepatocellular carcinoma (HCC) is associated with poor prognosis worldwide, the molecular mechanisms underlying the carcinogenesis and progression of this disease remain unclear. Several tumor characteristics have previously been demonstrated to be prognostic factors of survival following hepatic resection, or the recurrence of HCC or other types of cancer. Comparisons of normal tissues and HCC tumor tissues have revealed the presence of numerous molecular alterations in HCC, including genetic and epigenetic mechanisms, particularly mutations in certain genes and DNA methylation in the promoter regions of tumor-suppressor genes. A number of studies have previously used array analysis to detect variations in the expression levels of cancer-associated genes and microRNAs, and in DNA methylation. However, an investigation of HCC tumor tissues may not determine the effect of noncancerous liver tissues (background liver) in patients with HCC. As HCC may recur multicentrically following resection, a damaged or chronically diseased HCC background liver may be considered as a pre-cancerous organ. Therefore, the influence of the background liver on HCC requires further study. Detailed studies regarding the background liver may be essential for the improved understanding of the carcinogenesis and progression of this malignancy; however only a few studies have investigated the microenvironment of the HCC background liver. The present review discusses prior molecular studies of hepatocarcinogenesis that focus on HCC and background liver tissues.

HERC5 is a prognostic biomarker for post-liver transplant recurrent human hepatocellular carcinoma

BACKGROUND AND AIMS

Orthotopic liver transplantation (OLT) can be an effective treatment option for certain patients with early stage hepatocellular carcinoma (HCC) meeting Milan, UCSF, or Hangzhou criteria. However, HCC recurrence rates post-OLT range from 20 to 40 %, with limited follow-up options. Elucidating genetic drivers common to primary and post-OLT recurrent tumors may further our understanding and help identify predictive biomarkers of recurrence-both to ultimately help manage clinical decisions for patients undergoing OLT.

METHODS

Whole exome and RNA sequencing in matched primary and recurrent tumors, normal adjacent tissues, and blood from four Chinese HCC patients was conducted. SiRNA knockdown and both qRT-PCR and Western assays were performed on PLCPRF5, SNU449 and HEPG2 cell lines; immunohistochemistry and RNA Sequencing were conducted on the primary tumors of Chinese HCC patients who experienced tumor recurrence post-OLT (n = 9) or did not experience tumor recurrence (n = 12).

RESULTS

In three independent HCC studies of patients undergoing transplantation (n = 21) or surgical resection (n = 242, n = 44) of primary tumors (total n = 307), HERC5 mRNA under-expression correlated with shorter: time to tumor recurrence (p = 0.007 and 0.02) and overall survival (p = 0.0063 and 0.023), even after adjustment for relevant clinical variables. HERC5 loss drives CCL20 mRNA and protein over-expression and associates with regulatory T cell infiltration as measured by FOXP3 expression. Further, matched primary and recurrent tumors from the 4 HCC patients indicated clonal selection advantage of Wnt signaling activation and CDKN2A inactivation.

CONCLUSIONS

HERC5 plays a crucial role in HCC immune evasion and has clinical relevance as a reproducible prognostic marker for risk of tumor recurrence and survival in patients.

Genomic-Wide Analysis with Microarrays in Human Oncology

DNA microarray technologies have advanced rapidly and had a profound impact on examining gene expression on a genomic scale in research. This review discusses the history and development of microarray and DNA chip devices, and specific microarrays are described along with their methods and applications. In particular, microarrays have detected many novel cancer-related genes by comparing cancer tissues and non-cancerous tissues in oncological research. Recently, new methods have been in development, such as the double-combination array and triple-combination array, which allow more effective analysis of gene expression and epigenetic changes. Analysis of gene expression alterations in precancerous regions compared with normal regions and array analysis in drug-resistance cancer tissues are also successfully performed. Compared with next-generation sequencing, a similar method of genome analysis, several important differences distinguish these techniques and their applications. Development of novel microarray technologies is expected to contribute to further cancer research.

Molecular prognostic prediction in liver cirrhosis

The natural history of cirrhosis varies and therefore prognostic prediction is critical given the sizable patient population. A variety of clinical prognostic indicators have been developed and enable patient risk stratification although their performance is somewhat limited especially within relatively earlier stage of disease. Molecular prognostic indicators are expected to refine the prediction, and potentially link a subset of patients with molecular targeted interventions that counteract poor prognosis. Here we overview clinical and molecular prognostic indicators in the literature, and discuss critical issues to successfully define, evaluate, and deploy prognostic indicators as clinical scores or tests. The use of liver biopsy has been diminishing due to sampling variability on fibrosis assessment and emergence of imaging- or lab test-based fibrosis assessment methods. However, recent rapid developments of genomics technologies and selective molecular targeted agents has highlighted the need for biopsy tissue specimen to explore and establish molecular information-guided personalized/stratified clinical care, and eventually achieve “precision medicine”.

Current issues on genomic heterogeneity in hepatocellular carcinoma and its implication in clinical practice

Hepatocellular carcinoma (HCC) is a highly heterogeneous disease leading to a major diversity. Since staging systems are used in patient care, molecular and histopathological features remain to be incorporated in management algorithms. HCC, as other malignant solid tumors, exhibit a complex genetic diversity and genomic instability, driving tumorigenesis. The recent development of deep sequencing techniques has revealed different subgroups of tumors defined by specific patterns of genomic alterations that are related to clinical and histopathological diversity in HCC. Additionally, several genomic defects identified in HCC will be used in the future to develop clinical trial design for tumorized treatment.

Clearance of senescent hepatocytes in a neoplastic-prone microenvironment delays the emergence of hepatocellular carcinoma

Increasing evidence indicates that carcinogenesis is dependent on the tissue context in which it occurs, implying that the latter can be a target for preventive or therapeutic strategies. We tested the possibility that re-normalizing a senescent, neoplastic-prone tissue microenvironment would exert a modulatory effect on the emergence of neoplastic disease. Rats were exposed to a protocol for the induction of hepatocellular carcinoma (HCC). Using an orthotopic and syngeneic system for cell transplantation, one group of animal was then delivered 8 million normal hepatocytes, via the portal circulation. Hepatocytes transplantation resulted in a prominent decrease in the incidence of both pre-neoplastic and neoplastic lesions. At the end of 1 year 50% of control animals presented with HCC, while no HCC were observed in the transplanted group. Extensive hepatocyte senescence was induced by the carcinogenic protocol in the host liver; however, senescent cells were largely cleared following infusion of normal hepatocytes. Furthermore, levels of Il-6 increased in rats exposed to the carcinogenic protocol, while they returned to near control values in the group receiving hepatocyte transplantation. These results support the concept that strategies aimed at normalizing a neoplastic-prone tissue landscape can modulate progression of neoplastic disease.

Integration of genomic information in the clinical management of HCC

Molecular profiling of hepatocellular carcinoma (HCC) is enabling the advancement of novel approaches to disease diagnosis and management. Accurate prognosis prediction in HCC is specially critical. Clinical staging systems for HCC support clinical decision-making (e.g., BCLC algorithm) might be complemented by molecular-based information in the near future. Molecular signatures derived from tumour and non-tumour samples are associated with patient recurrence an outcome. Single nucleotide polymorphisms have been linked with HCC development. Next generation sequencing studies have brought to light the genomic diversity of this disease. Gens recurrently altered in HCC and susceptible to be targeted belong to signalling pathways including telomere maintenance, cell cycle, chromatin remodelling, Wnt/beta-catenin, RAS/RAF/MAPK and PI3K/AKT/mTOR pathways. Oncogenic loops are unknown but might include some of the already discovered aberrations. Despite the intratumoral heterogeneity observed in HCC tumours, studies including large number of samples can identify key genetic drivers and contribute to the development of novel treatments and a personalized medicine.

Role of Fbxw7 expression in hepatocellular carcinoma and adjacent non-tumor liver tissue

BACKGROUND AND AIM

Fbxw7 is a tumor suppressor gene through ubiquitination and degradation of multiple oncoproteins. Loss of Fbxw7 expression is frequently observed in various human cancers. In the present study, we examined the role of Fbxw7 expression in both non-tumor liver tissues and tumor tissues on clinicopathological significance.

METHODS

Sixty-six patients with hepatocellular carcinoma (HCC), who underwent hepatectomy, were divided into two groups: high and low gene-expression group, based on the Fbxw7 expression level. We compared the clinicopathological factors between the high expression and low expression groups in both tumor and non-tumor tissues.

RESULTS

Fbxw7 messenger RNA expression level in the non-tumor tissues was significantly higher than that in the tumor tissues. In the analysis of Fbxw7 expression in tumor and non-tumor tissues, disease-free survival rate in the Fbxw7 high expression group was significantly higher than that in the low expression group. In multivariable analysis, Fbxw7 low expression in both tumor and non-tumor tissue was detected as the strongest independent risk factor for HCC recurrence.

CONCLUSIONS

Low Fbxw7 expression in both tumor and non-tumor tissue may be an independent prognostic factor for tumor recurrence after hepatectomy in patients with HCC.

Specific molecular signatures of non-tumor liver tissue may predict a risk of hepatocarcinogenesis

Hepatocellular carcinoma (HCC) is one of the most common human cancers and a major cause of cancer-related death worldwide. The bleak outcomes of HCC patients even after curative treatment have been, at least partially, attributed to its multicentric origin. Therefore, it is necessary to examine not only tumor tissue but also non-tumor liver tissue to investigate the molecular mechanisms operating during hepatocarcinogenesis based on the concept of "field cancerization". Several studies previously investigated the association of molecular alterations in non-tumor liver tissue with clinical features and prognosis in HCC patients on a genome-wide scale. In particular, specific alterations of DNA methylation profiles have been confirmed in non-tumor liver tissue. This review focuses on the possible clinical value of array-based comprehensive analyses of molecular alterations, especially aberrant DNA methylation, in non-tumor liver tissue to clarify the risk of hepatocarcinogenesis. Carcinogenetic risk estimation based on specific methylation signatures may be advantageous for close follow-up of patients who are at high risk of HCC development. Furthermore, epigenetic therapies for patients with chronic liver diseases may be helpful to reduce the risk of HCC development because epigenetic alterations are potentially reversible, and thus provide promising molecular targets for therapeutic intervention.

Specific miRNA expression profiles of non-tumor liver tissue predict a risk for recurrence of hepatocellular carcinoma

AIM

It is reasonable to investigate non-tumor liver tissues to predict a risk for development of hepatocellular carcinoma (HCC). A molecular analysis of chronically damaged liver tissues may identify specific miRNA expression profiles associated with a risk for multicentric (MC) HCC.

METHODS

Twenty HCC patients, who underwent a curative hepatectomy were classified into two groups: a non-MC group (no MC recurrence in more than 3 years, n = 10) and an MC group (MC recurrence within 3 years after hepatectomy, n = 10). An miRNA microarray (955 probes) was used to compare the miRNA expression patterns of the non-cancerous liver tissues between the two groups. This study identified the differentially expressed miRNA related to MC recurrence in the liver remnant.

RESULTS

No differences were observed between the two groups in the liver function tests and pathological variables including both tumor factors and non-tumor liver tissues. The investigation selected 20 differentially expressed miRNA related to MC recurrence. Eighteen miRNA were downregulated, while two miRNA were upregulated in the MC group. A hierarchical clustering analysis identified a cluster that may be associated with risk of the MC recurrence of HCC. The MC recurrence-related miRNA included let-7d*, miR-328 and miR18a*, which potentially regulate K-ras gene expression. A significant inverse correlation between the miR-18a* expression and the K-ras mRNA expression was confirmed by quantitative reverse transcription polymerase chain reaction.

CONCLUSION

Specific miRNA expression signatures in non-cancerous liver tissue may help to predict the risk for de novo development of HCC.

Impact of epidermal growth factor single-nucleotide polymorphism on recurrence of hepatocellular carcinoma after hepatectomy in patients with chronic hepatitis C virus infection

Epidermal growth factor (EGF) gene single-nucleotide polymorphism (SNP) is associated with an increased risk of hepatic tumors. The study aimed to elucidate the impact of EGF SNP and EGF receptor (EGFR) expression on the recurrence of hepatocellular carcinoma (HCC) after hepatectomy. To examine the impact of EGF SNP and EGFR on recurrent HCC, we retrospectively analyzed 141 HCC patients with chronic hepatitis C virus infection who underwent curative hepatectomy. The EGF *61 GG allele was present in 69 patients (48.9%), AG in 56 (39.7%) and AA in 16 (11.4%). The AA group had a significantly lower rate of intrahepatic metastasis (0% vs 16.5%, P = 0.02), lower serum EGF concentration (26.3 ± 15.9 pg/mL vs 43.4 ± 30.5 pg/mL, P = 0.02) and lower proportion of early recurrence (≤2 years; 28.6% vs 71.2%, P = 0.03) than the AG/GG group. The AA group had significantly higher recurrence-free survival than the AG/GG group (P = 0.04), but there was no significant difference in overall survival between these two groups (P = 0.97). High versus low EGFR expression analyzed by immunohistochemical staining in cancer cells was not significantly associated with overall survival (P = 0.37) or recurrence-free survival (P = 0.39). Therefore, EGF *61 AA was associated with a lower risk of recurrence after curative hepatectomy for HCC in patients with hepatitis C virus infection than other genotypes, but EGFR expression in cancer cells was not significantly associated with prognosis.

Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: Current status and future prospects

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death worldwide, with region specific etiologies. Despite improvements made in the diagnosis of HCC, the prognosis of HCC patients remains poor due to the high recurrence rate of HCC. There is an urgent need for development of prognostic biomarkers to predict the risk of recurrence in HCC patients after “curative” treatment. Such stratification may aid in patient management and development of personalized medicine for HCC treatment. Omics based studies facilitate the study of global changes in biomolecules in a disease in a high throughput manner, and hence are well poised to understand the complex changes which led to HCC recurrence. The quantitative nature of data obtained from omics based studies allow for development of prognostic biomarkers based on changes in gene, protein and metabolite expression. In this review, we surveyed the application of transcriptomics, proteomics and metabolomics in the study of HCC recurrence. We summarised the data in the literature from these three fields of studies that claimed to be prognostic for HCC recurrence. We critiqued on the limitations of each area of research and the challenges faced in translating the research results for clinical application in predicting HCC recurrence.

Molecular Determinants of Prognosis in Hepatocellular Carcinoma

Hepatocellular carcinoma is one of the leading causes of death by cancer worldwide. Prognosis of hepatocellular carcinoma is determined by characteristics of the tumor and the surrounding cirrhotic liver. Several molecular signatures reflecting tumor biology and derived from tumor analyses predict early tumor recurrence and survival. In contrast, molecular signatures from cirrhotic non-tumor samples are enriched in immunity/inflammation related genes and could predict late tumor recurrence. Moreover, combination of clinical, pathological, and molecular features may refine prognosis prediction in these patients. Finally, molecular signatures from both tumor and non-tumor tissues will be helpful in the future to guide treatments in different clinical settings.

CD34 expression in noncancerous liver tissue predicts multicentric recurrence of hepatocellular carcinoma

BACKGROUND

Metachronous multicentric recurrence of hepatocellular carcinoma (HCC) is a common cause of morbidity and mortality following curative surgical resection. Clinical and laboratory predictors of these processes can markedly aid in managing these patients. Capillarization of hepatic sinusoids is also a well-known phenomenon in many liver diseases, especially in neoplastic liver diseases. Here, we investigated the clinical features, fibrosis scores and distribution of CD34 in noncancerous hepatic tissues of postresection patients with and without multicentric recurrence.

METHODS

Eighteen patients with multicentric recurrence of HCC diagnosed by histological examination of repeated hepatectomy specimens and 72 HCC patients with more than 5-year disease-free survival postresection participated in the study. We compared the clinicopathological features of these two groups. We examined noncancerous hepatic tissues for iron deposition by Prussian blue staining and computed the CD34-labeling index (LI) through immunohistochemistry using anti-CD34 antibody.

RESULTS

CD34-LI was significantly higher in the multicentric recurrence group (p < 0.001) and staging scores of fibrosis were also significantly higher in the recurrence group (p = 0.035). A high histological activity grade (p = 0.057) and a high alanine aminotransferase level (p = 0.060) were also associated with recurrence. There were no significant differences between the two groups in age, sex, hepatitis B virus surface antigen and anti-hepatitis C virus antibody levels, or grade of iron deposition. On multivariate analysis, high CD34-LI was the only independent risk factor (p = 0.001) for metachronous multicentric recurrence.

CONCLUSION

CD34 expression in the capillaries and sinusoids of noncancerous hepatic tissue is a risk factor for multicentric recurrence of HCC. Histologic assessment of hepatic tissue with CD34 immunohistochemistry might be useful for the prognostic evaluation of HCC patients after surgery.

High FAK combined with low JWA expression: clinical prognostic and predictive role for adjuvant fluorouracil-leucovorin-oxaliplatin treatment in resectable gastric cancer patients

BACKGROUND

The multifunctional protein JWA was previously identified as a novel regulator of focal adhesion kinase (FAK/PTK2) in suppressing cancer cell adhesion, invasion and metastasis. JWA is downregulated in gastric cancer (GC) and a prognostic and predictive biomarker for resectable GC. However, the value of FAK combined with JWA for GC patients as a biomarker has not been studied. Here we evaluated the roles of FAK alone and combined with JWA in GC patients treated with surgery alone or combined with adjuvant platinum-based chemotherapy.

METHODS

Two tissue microarrays were constructed of specimens from resected GC (n = 709 in total) for detection of FAK and JWA expression by immunohistochemistry. Correlations between both proteins and clinicopathological features as well as prognostic and predictive values were evaluated.

RESULTS

Compared with adjacent non-cancerous tissues, FAK protein levels were remarkably up-regulated in GC lesions (P < 0.001). High FAK alone or combined with low JWA expression significantly correlated with worse overall survival (OS) (both P < 0.001 in two cohorts). Simultaneously, JWA plus FAK expression was a more valuable prognostic biomarker than JWA or FAK alone. Moreover, the patients with high FAK only or combined with low JWA had significant benefit from adjuvant fluorouracil-leucovorin-oxaliplatin (FLO) therapy compared with those with surgery alone (P = 0.003); however, the cases with adjuvant fluorouracil-leucovorin-cisplatin (FLP) therapy did not show these effects.

CONCLUSION

FAK plus JWA may serve as a more prognostic and predictive biomarker for GC than each separately with a potential clinical application.

Impact of genetic targets on cancer therapy: hepatocellular cancer

Understanding cancer at the genetic level had gained significant attention over the last decade since the human genome was first sequenced in 2001. For hepatocellular carcinoma (HCC) a number of genome-wide profiling studies have been published. These studies have provided us with gene sets, based on which we can now classify tumors and have an idea about the likely clinical outcomes. In addition to that, genomic profiling for HCC has provided us a better understanding of the carcinogenesis process and identifies key steps at multiple levels (i.e. Genetics, molecular pathways) that can be potential targets for treatment and prevention. Although still an incurable disease, unresectable HCC has one proven systemic therapy, sorafenib, and many under active investigation. With advancement in technology and understanding of hepatocarcinogenesis, scientists hope to provide true personalized treatment for this disease in the near future. In this review article we discuss advances in understanding genetics and pathogenesis of HCC and the currently available and ongoing trials for targeted therapies. These emerging therapies may guide the development of more effective treatments or possibly a cure for HCC.

Role of the microenvironment in the pathogenesis and treatment of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and the third greatest cause of cancer-related death worldwide, and its incidence is increasing. Despite the significant improvement in management of HCC over the past 30 years, there are no effective chemoprevention strategies, and only one systemic therapy has been approved for patients with advanced tumors. This drug, sorafenib, acts on tumor cells and the stroma. HCC develops from chronically damaged tissue that contains large amounts of inflammation and fibrosis, which also promote tumor progression and resistance to therapy. Increasing our understanding of how stromal components interact with cancer cells and the signaling pathways involved could help identify new therapeutic and chemopreventive targets.

Neither MICA Nor DEPDC5 Genetic Polymorphisms Correlate with Hepatocellular Carcinoma Recurrence following Hepatectomy

Purpose. Genetic polymorphisms of MICA and DEPDC5 have been reported to correlate with progression to hepatocellular carcinoma (HCC) in chronic hepatitis C patients. However, correlation of these genetic variants with HCC recurrence following hepatectomy has not yet been clarified. Methods. Ninety-six consecutive HCC patients who underwent hepatectomy, including 64 patients who were hepatitis C virus (HCV) positive, were genotyped for MICA (rs2596542) and DEPDC5 (rs1012068). Recurrence-free survival rates (RFS) were compared for each genotype. Results. Five-year HCC recurrence-free survival (RFS) rates following hepatectomy were 20.7% in MICA GG allele carriers, 38.7% in GA, and 20.8% in AA, respectively (P = 0.72). The five-year RFS rate was 23.8% in DEPDC5 TT allele carriers and 31.8% in TG/GG, respectively (P = 0.47). The survival rates in all (including HCV-negative) patients were also similar among each MICA and DEPDC5 genotype following hepatectomy. Among HCV-positive patients carrying the DEPDC5 TG/GG allele, low fibrosis stage (F0-2) occurred more often compared with TT carriers (P < 0.05). Conclusions. Neither MICA nor DEPDC5 genetic polymorphism correlates with HCC recurrence following hepatectomy. DEPDC5 minor genotype data suggest a high susceptibility for HCC development in livers, even those with low fibrosis stages.

Some new approaches to the management of hepatocellular carcinoma

A concordance of multiple advances is changing the management of hepatocellular carcinoma (HCC). These include: (1) identification of preventable and treatable causal factors, including hepatitis B and obesity (non-alcoholic steatotic hepatitis [NASH]); (2) description of molecular and proteomic profiles for HCC prognosis, disease subtyping, and drug selection; (3) identification of circulating tumor cells for non-invasive molecular typing; (4) identification of tumor stem cells, for HCC subtyping and as treatment targets; (5) large numbers of multi-kinase inhibitors that are currently undergoing clinical trial assessment and comparison; (6) an array of newer therapies of different drug classes, aimed at a wide range of targets in cell growth, apoptosis, autophagy, and tumor invasion pathways; (7) newer regional chemotherapy and radiotherapy regimens and delivery systems; (8) the extension of liver transplantation to larger HCCs and its wider availability through use of living-related organ donors; (9) new radiological techniques to assess the changes in HCC vascularity associated with angiogenic drug actions; (10) re-evaluation of the importance of tumor biopsy to obtain molecular signatures; (11) recognition of the importance of non-tumor liver parenchyma for tumor growth control and as a source of prognostic profiling in HCC patients; (12) the evaluation of kinase- and other inhibitors in neo-adjuvant and adjuvant therapy associated with resection and liver transplant and minimization of transplant waiting list drop-out; (13) re-evaluation of the role or limitation of tumor responses, since kinase inhibitors can enhance survival without HCC size responses; and (14) the development of combination therapies to enhance tumor control rates, either using drugs targeting differing pathways, or kinase-inhibitors combined with either chemotherapy drugs or yttrium 90.

Developments in liver transplantation for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a serious health problem worldwide because of its association with hepatitis B and C viruses. In this setting, liver transplantation (LT) has become one of the best treatments since it removes both the tumor and the underlying liver disease. Due to the improvement of imaging techniques and surveillance programs, HCC are being detected earlier at a stage at which effective treatment is feasible. The prerequisite for long term success of LT for HCC depends on tumor load and strict selection criteria with regard to the size and number of tumor nodules. The need to obtain the optimal benefit from the limited number of organs available has prompted the maintenance of selection criteria in order to list only those patients with early HCC who have a better long-term outcome after LT. The indications for LT and organ allocation system led to many controversies around the use of LT in HCC patients. This review aims at giving the latest updated developments in LT for HCC focusing on selection criteria, diagnostic tools, prognostic factors, treatment on the waiting list, role of living donor liver transplantation and adjuvant therapy, and the impact of immunosuppression on HCC recurrence after LT.

The Histologic Cut-off Point for Adjacent and Remote Non-neoplastic Liver Parenchyma of Hepatocellular Carcinoma in Chronic Hepatitis B Patients

Background

The molecular profile of peritumoral non-neoplastic liver parenchyma (PNLP) has recently been suggested as predictive factor of early and late recurrence of hepatocellular carcinoma (HCC). However, there is no definite cut-off point for tumor-free PNLP in terms of either histological or molecular changes. Therefore, our aim is to determine the numerical cut-off point for separating adjacent PNLP and remote PNLP in histopathologic perspective.

Methods

Peritumoral tissues from 20 resected HCC patients were sampled from 0 to 40 mm distance from the tumor border (divided into 5-mm columns). Histopathologic parameters such as necroinflammatory activity, fibrosis, bile ductular reaction, hepatic venulitis, peliosis, and steatosis were compared between each column.

Results

The morphologic changes just adjacent to the tumor were notably severe and faded with distance. The parenchyma within 10 mm of the tumor showed significantly severe inflammation, fibrosis, peliosis and hepatic venulitis compared with those from farther areas. The histopathologic changes of the parenchyma became stable beyond 20 mm.

Conclusions

Results of this study revealed that the parenchyma within 10 mm distance from the tumor, or adjacent PNLP, has histopathologic changes that are directly affected by the tumor, and the parenchyma beyond 20 mm as the remote PNLP without tumor effect.

Role of CD44 expression in non-tumor tissue on intrahepatic recurrence of hepatocellular carcinoma

BACKGROUND

CD44 is well known to be one of the cancer stem cell markers and is a cell-surface glycoprotein involved in cell-cell interactions, cell adhesion, and cell migration. We investigated the role of CD44 expression in both tumor and non-tumor tissues on recurrence of hepatocellular carcinoma (HCC).

METHODS

Forty-eight patients with HCC who underwent hepatic resection at our institution were enrolled in this study. CD44 expressions in both tumor and non-tumor tissues were examined using real time reverse transcription-polymerase chain reaction. The patients were divided into two groups: high and low gene-expression group, based on the CD44 expression level. We compared the clinicopathological factors between the high expression and low expression groups in both tumor and non-tumor tissues.

RESULTS

In the tumor tissues, the gene-expression levels of CD44 did not correlate with any clinicopathological parameters. The disease-free survival rate showed no significant difference between the two groups. In non-tumor tissues, although there was no significant relationship between the CD44 expression levels and clinicopathological factors, disease-free survival rate in the CD44 low expression group was significantly better than that in the CD44 high expression group (P < 0.05). In multivariate analysis, the risk factors in tumor recurrence were presence of microscopic portal invasion and high expression level of CD44.

CONCLUSION

The CD44 expressions in the non-tumor tissues may predict HCC recurrence.

Inflammatory immune responses in tumor microenvironment and metastasis of hepatocellular carcinoma

Metastasis is a multistage process that requires cancer cells to escape from the primary tumor, survive in the circulation, seed at distant sites and grow. Each of these processes involves rate-limiting steps that are influenced by non-malignant cells of the tumor microenvironment. There are growing evidences that tumors are sustained and promoted by inflammatory signals from the surrounding microenvironment. This review describes experimental data demonstrating the role of the inflammatory immune responses of microenvironment in metastases of hepatocellular carcinoma (HCC), points out the prospective areas for future research and possible new therapeutic approaches to control the metastasis of HCC.

High expression of proline-rich tyrosine kinase 2 is associated with poor survival of hepatocellular carcinoma via regulating phosphatidylinositol 3-kinase/AKT pathway

BACKGROUND

The peritumoral environment has been implicated to be important in the process of metastasis and recurrence in hepatocellular carcinoma (HCC). Our aims were to assess the prognostic value of proline-rich tyrosine kinase 2 (Pyk2) in HCC and investigate related molecular mechanism.

METHODS

Expression of Pyk2 was tested by immunohistochemistry in tissue microarrays containing 141 paired HCC samples. Correlation between Pyk2 and vascular endothelial growth factor (VEGF) expression in clinical samples was analyzed by Spearman rank correlation. Matrigel invasion, anchorage-independent growth assay and immunoblotting were performed to study the effect of Pyk2 on the invasion and progression of HCC cells and phosphoinositide 3-kinase (PI3K)/AKT pathway activation.

RESULTS

Higher Pyk2 density in both tumor and peritumor was associated with lower overall survival (P = 0.044; P = 0.041, respectively), serum AFP levels > 1,000 ng/ml (P = 0.013; P = 0.032, respectively) and postoperative distant metastasis (both P < 0.001). However, only higher peritumoral Pyk2 density was related to lower disease-free survival (P = 0.014) and vascular invasion (P = 0.035). A significant correlation between Pyk2 and VEGF density in tumor or peritumoral liver tissue was observed (r = 0. 3133, P = 0.0002; r = 0.5176, P < 0.0001, respectively). Immunoblotting showed that Pyk2 activated PI3K-AKT pathway to upregulate VEGF expression in HL-7702, SMMC-7721 and HepG2 cells.

CONCLUSIONS

High Pyk2, especially peritumoral Pyk2 was associated with poor survival, disease recurrence, and metastasis in HCC. PI3K-AKT pathway was involved in Pyk2-mediated VEGF expression during HCC progression and invasion.

Overexpression of ZEB2 in peritumoral liver tissue correlates with favorable survival after curative resection of hepatocellular carcinoma

Background

ZEB2 has been suggested to mediate EMT and disease aggressiveness in several types of human cancers. However, the expression patterns of ZEB2 in hepatocellular carcinoma (HCC) and its effect on prognosis of HCC patients treated with hepatectomy are unclear.

Methodology/Principal Findings

In this study, the methods of tissue microarray and immunohistochemistry (IHC) were utilized to investigate ZEB2 expression in HCC and peritumoral liver tissue (PLT). Receiver operating characteristic (ROC), spearman's rank correlation, Kaplan-Meier plots and Cox proportional hazards regression model were used to analyze the data. Up-regulated expression of cytoplasmic/nuclear ZEB2 protein was observed in the majority of PLTs, when compared to HCCs. Further analysis showed that overexpression of cytoplasmic ZEB2 in HCCs was inversely correlated with AFP level, tumor size and differentiation (P<0.05). Also, overexpression of cytoplasmic ZEB2 in PLTs correlated with lower AFP level (P<0.05). In univariate survival analysis, a significant association between overexpression of cytoplasmic ZEB2 by HCCs/PLTs and longer patients' survival was found (P<0.05). Importantly, cytoplasmic ZEB2 expression in PLTs was evaluated as an independent prognostic factor in multivariate analysis (P<0.05). Consequently, a new clinicopathologic prognostic model with cytoplasmic ZEB2 expression (including HCCs and PLTs) was constructed. The model could significantly stratify risk (low, intermediate and high) for overall survival (P = 0.002).

Conclusions/Significance

Our findings provide a basis for the concept that cytoplasmic ZEB2 expressed by PLTs can predict the postoperative survival of patients with HCC. The combined cytoplasmic ZEB2 prognostic model may become a useful tool for identifying patients with different clinical outcomes.

Oxidative stress pathways in noncancerous human liver tissue to predict hepatocellular carcinoma recurrence: a prospective, multicenter study

The prediction of cancer recurrence holds the key to improvement of the postoperative prognosis of patients. In this study, the recurrence of early-stage hepatocellular carcinoma (HCC) after curative hepatectomy was analyzed by the genome-wide gene-expression profiling on cancer tissue and the noncancerous liver tissue. Using the training set of 78 cases, the cytochrome P450 1A2 (CYP1A2) gene in noncancerous liver tissue was identified as the predictive candidate for postoperative recurrence (hazard ratio [HR], 0.447; 95% confidence interval [CI], 0.249-0.808; P = 0.010). Multivariate analysis revealed the statistically significant advantage of CYP1A2 down-regulation to predict recurrence (odds ratio, 0.534; 95% CI, 0.276-0.916; P = 0.036), and the expression of CYP1A2 protein was confirmed immunohistochemically. An independently multi-institutional cohort of 211 patients, using tissue microarrays, validated that loss of expression of CYP1A2 in noncancerous liver tissue as the only predictive factor of recurrence after curative hepatectomy for early-stage HCC (HR, 0.480; 95% CI, 0.256-0.902; P = 0.038). Gene set-enrichment analysis revealed close association of CYP1A2 down-regulation with oxidative stress pathways in liver tissue (P < 0.001, false discovery rate [FDR] = 0.042; P = 0.006, FDR = 0.035). Our results indicate these pathways as the molecular targets to prevent recurrence, as well as the potential prediction of the super high-risk population of HCC using liver tissue.

Gene expression patterns in livers of Hispanic patients infected with hepatitis C virus

We report a gene expression study aimed at the identification of genes differentially expressed in the livers of Hispanic patients infected with hepatitis C virus (HCV). Six uninfected controls were compared with 14 HCV(+) patients in which the liver biopsies were obtained at the time of diagnosis. Among the latter, five patients were also analyzed 4 weeks after the onset of standard anti-HCV therapy (pegylated interferon-α + ribavirin). We identified many genes up- or down-regulated by the infection with HCV in the human livers. When these genes were subjected to pathway analysis, several prominent pathways were revealed including many interferon (IFN)-inducible pathways as well as immune cell trafficking, inflammation, anti-microbial responses, and even cancer. We detected expression of many genes that have previously been associated with HCV infection, as well as several novel genes including CD47. The genes induced by HCV infection showed large expression changes, whereas the genes induced by the IFN-α combination therapy were relatively few (including MX2, ORMDL3, GPAM, KOPX18, TMEM56, and HBP1) and they reflected relatively small expression changes. This is the first study to identify changes in gene expression in livers of HCV(+) Hispanic patients and the first to identify genes induced by anti-HCV combination therapy in the human liver.

Recurrence and poor prognosis following resection of small hepatitis B-related hepatocellular carcinoma lesions are associated with aberrant tumor expression profiles of glypican 3 and osteopontin

BACKGROUND

Early detection and following appropriate treatments of hepatocellular carcinoma (HCC) is still the gold standard for favored outcome of HCC patients; nevertheless, a small portion of hepatitis B virus (HBV)-related small HCC (<5 cm) patients got poor prognosis. Furthermore, the study for small HBV-HCC was limited. Therefore, the aim of this study was to explore the potential genetic signature for HBV-related small HCC as novel prognostic factors.

METHODS

We examined expression profiles of HBV-related small HCC using an Affymetrix U133A GeneChip, evaluated differential gene expression by quantitative real-time polymerase chain reaction (qRT-PCR), and finally validated these expression patterns by immunohistochemistry (IHC).

RESULTS

A total of 57 genes were differentially expressed between tumor and normal parts (n = 20 pairs) using Affymetrix U133A chip, and 16 genes were further evaluated by qRT-PCR. The result was compatible with the finding of oligonucleotide microarray (Pearson's correlation, r = 0.87). Furthermore, the expression pattern in HCC tissue by IHC in another group of small HBV-HCC (n = 100) showed overexpression of either osteopontin (OPN) or glypican 3 (GPC3) is an independent prognostic factor for disease-free survival (DFS) in HBV-positive small HCC (P < 0.01 and 0.03, respectively). Long-term DFS and overall survival (OS) for small HBV-HCC patients with high risk (both elevated GPC3(+)/OPN(+)) were DFS 0%, OS 0%, respectively; on the other hand, DFS and OS in patients with moderate (only 1 gene elevated) or low (OPN(-)/GPC3(-)) risk were 35.0 and 46.5%, respectively.

CONCLUSIONS

Elevation of both OPN and GPC3 may act as an adverse indicator for HBV-related small HCC patients after curative resection.

Molecular characteristics of non-cancerous liver tissue in non-B non-C hepatocellular carcinoma

Although chronic infection with hepatitis B virus (HBV) and/or hepatitis C virus (HCV) are the most important risk factors for the development of hepatocellular carcinoma (HCC) worldwide, the proportion of HCC patients negative for the hepatitis B surface antigen and hepatitis C antibody, so-called "non-B non-C HCC", is rapidly increasing, especially in Japan. The background liver diseases of non-B non-C HCC patients can be multifactorial, including occult HBV infection and non-alcoholic steatohepatitis. It is reasonable to investigate the non-cancerous liver tissues to identify the potential molecular mechanisms responsible for the processes of hepatocarcinogenesis of non-B non-C HCC. However, to date, only a few studies have focused on this research concept based on the idea of "field cancerization". This review highlights the potential importance of the molecular analysis of non-cancerous liver tissues to clarify the molecular characteristics in patients with non-B non-C HCC. A better understanding of the molecular mechanisms underlying the individual predisposition to non-B non-C HCC will lead to improvements in the prevention, early diagnosis and treatment of this neoplastic disease.

Targeted therapies for hepatocellular carcinoma

Unlike most solid tumors, the incidence and mortality of hepatocellular carcinoma (HCC) have increased in the United States and Europe in the past decade. Most patients are diagnosed at advanced stages, so there is an urgent need for new systemic therapies. Sorafenib, a tyrosine kinase inhibitor (TKI), has shown clinical efficacy in patients with HCC. Studies in patients with lung, breast, or colorectal cancers have indicated that the genetic heterogeneity of cancer cells within a tumor affect its response to therapeutics designed to target specific molecules. When tumor progression requires alterations in specific oncogenes (oncogene addiction), drugs that selectively block their products might slow tumor growth. However, no specific oncogene addictions are yet known to be implicated in HCC progression, so it is important to improve our understanding of its molecular pathogenesis. There are currently many clinical trials evaluating TKIs for HCC, including those tested in combination with (eg, erlotinib) or compared with (eg, linifanib) sorafenib as a first-line therapy. For patients who do not respond or are intolerant to sorafenib, TKIs such as brivanib, everolimus, and monoclonal antibodies (eg, ramucirumab) are being tested as second-line therapies. There are early stage trials investigating the efficacy for up to 60 reagents for HCC. Together, these studies might change the management strategy for HCC, and combination therapies might be developed for patients with advanced HCC. Identification of oncogenes that mediate tumor progression, and trials that monitor their products as biomarkers, might lead to personalized therapy; reagents that interfere with signaling pathways required for HCC progression might be used to treat selected populations, and thereby maximize the efficacy and cost benefit.

Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma

BACKGROUND & AIMS

In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues.

METHODS

We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287) and adjacent nontumor, cirrhotic tissue (n = 226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence.

RESULTS

Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from nontumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature G3-proliferation (hazard ratio [HR], 1.75; P = .003) and an adjacent poor-survival signature (HR, 1.74; P = .004) were independent predictors of HCC recurrence, along with satellites (HR, 1.66; P = .04). Samples from different sites in the same tumor nodule were reproducibly classified.

CONCLUSIONS

We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses.

Host-virus interactions during hepatitis C virus infection: a complex and dynamic molecular biosystem

The hepatitis C virus (HCV) is a global health issue with no vaccine available and limited clinical treatment options. Like other obligate parasites, HCV requires host cellular components of an infected individual to propagate. These host-virus interactions during HCV infection are complex and dynamic and involve the hijacking of host cell environments, enzymes and pathways. Understanding this unique molecular biosystem has the potential to yield new and exciting strategies for therapeutic intervention. Advances in genomics and proteomics have opened up new possibilities for the rapid measurement of global changes at the transcriptional and translational levels during infection. However, these techniques only yield snapshots of host-virus interactions during HCV infection. Other new methods that involve the imaging of biomolecular interactions during HCV infection are required to identify key interactions that may be transient and dynamic. Herein we highlight systems biology based strategies that have helped to identify key host-virus interactions during HCV replication and infection. Novel biophysical tools are also highlighted for identification and visualization of activities and interactions between HCV and its host hepatocyte. As some of these methods mature, we expect them to pave the way forward for further exploration of this complex biosystem and elucidation of mechanisms for HCV pathogenesis and carcinogenesis.

Identification of genes preferentially methylated in hepatitis C virus-related hepatocellular carcinoma

Chronic infections by hepatitis B virus (HBV) and hepatitis C virus (HCV) appear to be the most significant causes of hepatocellular carcinoma (HCC). Aberrant promoter methylation is known to be deeply involved in cancer, including in HCC. In this study, we analyzed aberrant promoter methylation by methylated DNA immunoprecipitation-on-chip analysis on a genome-wide scale in six HCCs including three HBV-related and three HCV-related HCCs, six matched noncancerous liver tissues, and three normal liver tissues. Candidate genes with promoter methylation were detected more frequently in HCV-related HCC. Candidate genes methylated preferentially to HBV-related or HCV-related HCCs were detected and selected, and methylation levels of the selected genes were validated by quantitative methylation analysis using MALDI-TOF mass spectrometry using 125 liver tissue samples, including 61 HCCs (28 HBV-related HCCs and 33 HCV-related HCCs) and 59 matched noncancerous livers, and five normal livers. Among analyzed genes, preferential methylation in HBV-related HCC was validated in one gene only. However, 15 genes were found to be methylated preferentially in HCV-related HCC, which was independent from age. Hierarchical clustering of HCC using these genes stratified HCV-related HCC as a cluster of frequently methylated samples. The 15 genes included genes inhibitory to cancer-related signaling such as RAS/RAF/ERK and Wnt/beta-catenin pathways. Methylation of dual specificity phosphatase 4 (DUSP4), cytochrome P450, family 24, subfamily A, polypeptide 1 (CYP24A1), and natriuretic peptide receptor A (NPR1) significantly correlated with recurrence-free survival. It was indicated that genes methylated preferentially in HCV-related HCC exist, and that DNA methylation might play an important role in HCV-related HCC by silencing cancer-related pathway inhibitors, and might perhaps be useful as a prognostic marker.