Epidemiology and surveillance of hepatocellular carcinoma

Risk of cardiovascular death in patients with hepatocellular carcinoma based on the Fine-Gray model

BACKGROUND

Hepatocellular carcinoma (HCC) is one of the most common types of cancers worldwide, ranking fifth among men and seventh among women, resulting in more than 7 million deaths annually. With the development of medical technology, the 5-year survival rate of HCC patients can be increased to 70%. However, HCC patients are often at increased risk of cardiovascular disease (CVD) death due to exposure to potentially cardiotoxic treatments compared with non-HCC patients. Moreover, CVD and cancer have become major disease burdens worldwide. Thus, further research is needed to lessen the risk of CVD death in HCC patient survivors.

AIM

To determine the independent risk factors for CVD death in HCC patients and predict cardiovascular mortality (CVM) in HCC patients.

METHODS

This study was conducted on the basis of the Surveillance, Epidemiology, and End Results database and included HCC patients with a diagnosis period from 2010 to 2015. The independent risk factors were identified using the Fine-Gray model. A nomograph was constructed to predict the CVM in HCC patients. The nomograph performance was measured using Harrell's concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC) value. Moreover, the net benefit was estimated via decision curve analysis (DCA).

RESULTS

The study included 21545 HCC patients, of whom 619 died of CVD. Age (< 60) [1.981 (1.573-2.496), P < 0.001], marital status (married) [unmarried: 1.370 (1.076-1.745), P = 0.011], alpha fetoprotein (normal) [0.778 (0.640-0.946), P = 0.012], tumor size (≤ 2 cm) [(2, 5] cm: 1.420 (1.060-1.903), P = 0.019; > 5 cm: 2.090 (1.543-2.830), P < 0.001], surgery (no) [0.376 (0.297-0.476), P < 0.001], and chemotherapy(none/unknown) [0.578 (0.472-0.709), P < 0.001] were independent risk factors for CVD death in HCC patients. The discrimination and calibration of the nomograph were better. The C-index values for the training and validation sets were 0.736 and 0.665, respectively. The AUC values of the ROC curves at 2, 4, and 6 years were 0.702, 0.725, 0.740 in the training set and 0.697, 0.710, 0.744 in the validation set, respectively. The calibration curves showed that the predicted probabilities of the CVM prediction model in the training set vs the validation set were largely consistent with the actual probabilities. DCA demonstrated that the prediction model has a high net benefit.

CONCLUSION

Risk factors for CVD death in HCC patients were investigated for the first time. The nomograph served as an important reference tool for relevant clinical management decisions.

Blockade of PD-1 and CTLA-4: A potent immunotherapeutic approach for hepatocellular carcinoma

Immune checkpoints (ICPs) can promote tumor growth and prevent immunity-induced cancer cell apoptosis. Fortunately, targeting ICPs, such as programmed cell death 1 (PD-1) or cytotoxic T lymphocyte associated protein 4 (CTLA-4), has achieved great success in the past few years and has gradually become an effective treatment for cancers, including hepatocellular carcinoma (HCC). However, many patients do not respond to ICP therapy due to acquired resistance and recurrence. Therefore, clarifying the specific mechanisms of ICP in the development of HCC is very important for enhancing the efficacy of anti-PD-1 and anti-CTLA-4 therapy. In particular, antigen presentation and interferon-γ (IFN-γ) signaling were reported to be involved in the development of resistance. In this review, we have explained the role and regulatory mechanisms of ICP therapy in HCC pathology. Moreover, we have also elaborated on combinations of ICP inhibitors and other treatments to enhance the antitumor effect. Collectively, recent advances in the pharmacological targeting of ICPs provide insights for the development of a novel alternative treatment for HCC.

β-Sitosterol suppresses hepatocellular carcinoma growth and metastasis via FOXM1-regulated Wnt/β-catenin pathway

β-Sitosterol is a natural compound with demonstrated anti-cancer properties against various cancers. However, its effects on hepatocellular carcinoma (HCC) and the underlying mechanisms are not well understood. This study aims to investigate the impact of β-sitosterol on HCC. In this study, we investigated the effects of β-sitosterol on HCC tumour growth and metastasis using a xenograft mouse model and a range of molecular analyses, including bioinformatics, real-time PCR, western blotting, lentivirus transfection, CCK8, scratch and transwell assays. The results found that β-sitosterol significantly inhibits HepG2 cell proliferation, migration and invasion both in vitro and in vivo. Bioinformatics analysis identifies forkhead box M1 (FOXM1) as a potential target for β-sitosterol in HCC treatment. FOXM1 is upregulated in HCC tissues and cell lines, correlating with poor prognosis in patients. β-Sitosterol downregulates FOXM1 expression in vitro and in vivo. FOXM1 overexpression mitigates β-sitosterol's inhibitory effects on HepG2 cells. Additionally, β-sitosterol suppresses epithelial-mesenchymal transition (EMT) in HepG2 cells, while FOXM1 overexpression promotes EMT. Mechanistically, β-sitosterol inhibits Wnt/β-catenin signalling by downregulating FOXM1, regulating target gene transcription related to HepG2 cell proliferation and metastasis. β-Sitosterol shows promising potential as a therapeutic candidate for inhibiting HCC growth and metastasis through FOXM1 downregulation and Wnt/β-catenin signalling inhibition.

Identification of metabolism terms significantly affecting hepatocellular carcinoma immune microenvironment and immunotherapy response

Metabolic pathways exert a significant influence on the onset and progression of cancer. Public data on hepatocellular carcinoma (HCC) patients were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Analysis was performed in R software using different R packages. Here, we integrated the data from multiple independent HCC cohorts, including TCGA-LIHC, ICGC-FR and ICGC-JP. Then, the enrichment score of 21 metabolism-related pathways was quantified using the ssGSEA algorithm. Next, univariate Cox regression analysis was applied to identify the metabolic terms with significant correlation to patient survival. Finally, a prognosis model based on linoleic acid metabolism, sphingolipid metabolism and regulation of lipolysis in adipocytes was established, which showed good performance in predicting patients' survival. Furthermore, we conducted a biological enrichment analysis to delineate the biological disparities between high- and low-risk patients. Notably, we discerned differences in the microenvironments between these two patient groups. We also found that low-risk patients could potentially respond better to immunotherapy. Drug sensitivity analysis suggested that low-risk patients are more susceptible to bexarotene and erlotinib, yet exhibit resistance to ATRA and bleomycin. Furthermore, through the use of LASSO logistic regression analysis, we identified 19 characteristic genes, which could robustly indicate the risk groups. Our research underscores the role of linoleic acid metabolism, sphingolipid metabolism and the regulation of lipolysis in adipocytes in HCC, pointing towards potential avenues for future research.

The efficacy of treatment for hepatocellular carcinoma in elderly patients

BACKGROUND/AIM

Despite the increasing proportion of elderly patients with hepatocellular carcinoma (HCC) over time, treatment efficacy in this population is not well established.

METHODS

Data collected from the Korean Primary Liver Cancer Registry, a representative cohort of patients newly diagnosed with HCC in Korea between 2008 and 2017, were analyzed. Overall survival (OS) according to tumor stage and treatment modality was compared between elderly and non-elderly patients with HCC.

RESULTS

Among 15,186 study patients, 5,829 (38.4%) were elderly. A larger proportion of elderly patients did not receive any treatment for HCC than non-elderly patients (25.2% vs. 16.7%). However, OS was significantly better in elderly patients who received treatment compared to those who did not (median, 38.6 vs. 22.3 months; P<0.001). In early-stage HCC, surgery yielded significantly lower OS in elderly patients compared to non-elderly patients (median, 97.4 vs. 138.0 months; P<0.001), however, local ablation (median, 82.2 vs. 105.5 months) and transarterial therapy (median, 42.6 vs. 56.9 months) each provided comparable OS between the two groups after inverse probability of treatment weighting (IPTW) analysis (all P>0.05). After IPTW, in intermediate-stage HCC, surgery (median, 66.0 vs. 90.3 months) and transarterial therapy (median, 36.5 vs. 37.2 months), and in advanced-stage HCC, transarterial (median, 25.3 vs. 26.3 months) and systemic therapy (median, 25.3 vs. 26.3 months) yielded comparable OS between the elderly and non-elderly HCC patients (all P>0.05).

CONCLUSIONS

Personalized treatments tailored to individual patients can improve the prognosis of elderly patients with HCC to a level comparable to that of non-elderly patients.

Perioperative predictors of outcome of hepatectomy for HBV-related hepatocellular carcinoma

Hepatitis B virus (HBV) is identified as a major risk factor for hepatocellular carcinoma (HCC), resulting in so-called hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC). Hepatectomy for HCC is acknowledged as an efficient treatment strategy, especially for early HCC. Furthermore, patients with advanced HCC can still obtain survival benefits through surgical treatment combined with neoadjuvant therapy, adjuvant therapy, transcatheter arterial chemoembolization, and radiofrequency ablation. Therefore, preoperative and postoperative predictors of HBV-related HCC have crucial indicative functions for the follow-up treatment of patients with feasible hepatectomy. This review covers a variety of research results on preoperative and postoperative predictors of hepatectomy for HBV-related HCC over the past decade and in previous landmark studies. The relevant contents of Hepatitis C virus-related HCC, non-HBV non-HCV HCC, and the artificial intelligence application in this field are briefly addressed in the extended content. Through the integration of this review, a large number of preoperative and postoperative factors can predict the prognosis of HBV-related HCC, while most of the predictors have no standardized thresholds. According to the characteristics, detection methods, and application of predictors, the predictors can be divided into the following categories: 1. serological and hematological predictors, 2. genetic, pathological predictors, 3. imaging predictors, 4. other predictors, 5. analysis models and indexes. Similar results appear in HCV-related HCC, non-HBV non-HCV HCC. Predictions based on AI and big biological data are actively being applied. A reasonable prediction model should be established based on the economic, health, and other levels in specific countries and regions.

Liquid Biopsy in Hepatocellular Carcinoma: The Significance of Circulating Tumor Cells in Diagnosis, Prognosis, and Treatment Monitoring

Hepatocellular carcinoma (HCC) is an aggressive malignancy with poor outcomes when diagnosed at an advanced stage. Current curative treatments are most effective in early-stage HCC, highlighting the importance of early diagnosis and intervention. However, existing diagnostic methods, such as radiological imaging, alpha-fetoprotein (AFP) testing, and biopsy, have limitations that hinder early diagnosis. AFP elevation is absent in a significant portion of tumors, and imaging may have low sensitivity for smaller tumors or in the presence of cirrhosis. Additionally, as our understanding of the molecular pathogenesis of HCC grows, there is an increasing need for molecular information about the tumors. Biopsy, although informative, is invasive and may not always be feasible depending on tumor location. In this context, liquid biopsy technology has emerged as a promising approach for early diagnosis, enabling molecular characterization and genetic profiling of tumors. This technique involves analyzing circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), or tumor-derived exosomes. CTCs are cancer cells shed from the primary tumor or metastatic sites and circulate in the bloodstream. Their presence not only allows for early detection but also provides insights into tumor metastasis and recurrence. By detecting CTCs in peripheral blood, real-time tumor-related information at the DNA, RNA, and protein levels can be obtained. This article provides an overview of CTCs and explores their clinical significance for early detection, prognosis, treatment selection, and monitoring treatment response in HCC, citing relevant literature.

Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice

Proteomics continues to forge significant strides in the discovery of essential biological processes, uncovering valuable information on the identity, global protein abundance, protein modifications, proteoform levels, and signal transduction pathways. Cancer is a complicated and heterogeneous disease, and the onset and progression involve multiple dysregulated proteoforms and their downstream signaling pathways. These are modulated by various factors such as molecular, genetic, tissue, cellular, ethnic/racial, socioeconomic status, environmental, and demographic differences that vary with time. The knowledge of cancer has improved the treatment and clinical management; however, the survival rates have not increased significantly, and cancer remains a major cause of mortality. Oncoproteomics studies help to develop and validate proteomics technologies for routine application in clinical laboratories for (1) diagnostic and prognostic categorization of cancer, (2) real-time monitoring of treatment, (3) assessing drug efficacy and toxicity, (4) therapeutic modulations based on the changes with prognosis and drug resistance, and (5) personalized medication. Investigation of tumor-specific proteomic profiles in conjunction with healthy controls provides crucial information in mechanistic studies on tumorigenesis, metastasis, and drug resistance. This review provides an overview of proteomics technologies that assist the discovery of novel drug targets, biomarkers for early detection, surveillance, prognosis, drug monitoring, and tailoring therapy to the cancer patient. The information gained from such technologies has drastically improved cancer research. We further provide exemplars from recent oncoproteomics applications in the discovery of biomarkers in various cancers, drug discovery, and clinical treatment. Overall, the future of oncoproteomics holds enormous potential for translating technologies from the bench to the bedside.

Association between smoking and non-alcoholic fatty liver disease in Southeast Asia

An estimated 8 million people die each year from tobacco smoking, with an increasing frequency recently being observed in Southeast Asian countries, which is a preventable risk factor for mortality. NAFLD, fibrosis, advancement of hepatocellular carcinoma, and prognosis for those with severe liver disease are all negatively influenced. NAFLD and cigarette usage seem to be a direct link. Oxidative stress and oncogenic signals have been implicated in cancer development in animal models and human clinical trials. The elevated risk of cardiovascular disease and malignancies in those with steatohepatitis and those who have had liver transplants is exacerbated by smoking. We found that smoking cessation may increase treatment response and fibrosis regression rates, decrease hepatocellular carcinoma incidence, and improve liver transplant outcomes. In the last segment, we'll look at electronic cigarettes, a hot subject in public health right now, as well as additional repercussions of smoking.

The combination of serum oligosaccharide chain (G-test), alpha-fetoprotein, and aspartate aminotransferase to alanine aminotransferase ratio provides the optimal diagnostic value for early detection of hepatocellular carcinoma

Background

The purpose of this study was to compare the diagnostic value of serum oligosaccharide chain (G-test), alpha-fetoprotein (AFP) and aspartic aminotransferase to alanine aminotransferase ratios (AAR), both alone and in combination, for predicting hepatocellular carcinoma (HCC) onset.

Methods

Between Januarys 2020–2022, 152 subjects admitted to the First Affiliated Hospital of Nanchang University was enrolled in this study, of which 77 had HCC, 18 chronic hepatitis (CH), 37 liver cirrhosis (LC) and 20 were healthy. Data for patient characteristics were collected, and differences between groups were analyzed by either Mann-Whitney U or χ2 tests. Receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of AFP, G-test, and AAR for HCC.

Results

G-test, AFP, and AAR were all found to have close correlations with HCC among the different patient groups, with G-test being the most predictive for HCC among healthy and CL patients, as represented by respective areas under the curve (AUC) of 0.953 and 0.792 (P < 0.001). By contrast, AAR had the greatest diagnostic ability for HCC among CH patients (AUC = 0.850; P < 0.001). However, the combination of all 3 biomarkers obtained the most optimal results for predicting HCC onset, in terms of predictive capability for all 3 non-HCC patient groups, yielding AUCs of 0.958, 0.898, and 0.808 (P < 0.001) for, respectively, healthy, CH, and LC patients. Additionally, AFP had higher specificity, but lower sensitivity, with increased threshold values, as the recommended threshold of AFP ≥ 400 ng/mL yielded a missed diagnosis rate of 72.7%. For AFP-negative HCC (AFP-NHCC) patients, G-test alone had the greatest diagnostic capability (AUC = 0.855; P < 0.001), sensitivity (83.8%), and specificity (87.5%).

Conclusion

G-test has the greatest diagnostic capability for HCC and AFP-NHCC, with high sensitivity and specificity, among healthy and LC patients. However, AAR had the highest diagnostic capability and sensitivity for HCC in CH. Overall, though, the combination of G-test, AFP and AAR provided the most optimal outcomes for predicting HCC onset, no matter the patient pre-conditions.

Protocol for chronic hepatitis B virus infection mouse model development by patient-derived orthotopic xenografts

Background

According to the World Health Organization, more than 250 million people worldwide are chronically infected with the hepatitis B virus, and almost 800.000 patients die annually of mediated liver disorders. Therefore, adequate biological test systems are needed that could fully simulate the course of chronic hepatitis B virus infection, including in patients with hepatocellular carcinoma.

Methods

In this study, we will assess the effectiveness of existing protocols for isolation and cultivation of primary cells derived from patients with hepatocellular carcinoma in terms of the yield of viable cells and their ability to replicate the hepatitis B virus using isolation and cultivation methods for adhesive primary cells, flow cytometry and quantitative polymerase chain reaction. Another part of our study will be devoted to evaluating the effectiveness of hepatocellular carcinoma grafting methods to obtain patient-derived heterotopic and orthotopic xenograft mouse avatars using animal X-ray irradiation and surgery procedures and in vivo fluorescent signals visualization and measurements. Our study will be completed by histological methods.

Discussion

This will be the first extensive comparative study of the main modern methods and protocols for isolation and cultivation primary hepatocellular carcinoma cells and tumor engraftment to the mice. All protocols will be optimized and characterized using the: (1) efficiency of the method for isolation cells from removed hepatocellular carcinoma in terms of their quantity and viability; (2) efficiency of the primary cell cultivation protocol in terms of the rate of monolayer formation and hepatitis B virus replication; (3) efficiency of the grafting method in terms of the growth rate and the possibility of hepatitis B virus persistence and replication in mice. The most effective methods will be recommended for use in translational biomedical research.

Update on the applications and limitations of alpha-fetoprotein for hepatocellular carcinoma

Alpha-fetoprotein (AFP) is an oncofetal glycoprotein that has been used as a tumor marker for hepatocellular carcinoma (HCC) in combination with ultrasound and other imaging modalities. Its utility is limited because of both low sensitivity and specificity, and discrepancies among the different methods of measurements. Moreover, its accuracy varies according to patient characteristics and the AFP cut-off values used. Combination of AFP with novel biomarkers such as AFP-L3, Golgi specific membrane protein (GP73) and des-gamma-carboxyprothrombin significantly improved its accuracy in detecting HCC. Increased AFP level could also signify severity of hepatic destruction and subsequent regeneration and is commonly observed in patients with acute and chronic liver conditions and cirrhosis. Hereditary and other non-hepatic disorders can also cause AFP elevation.

The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?

Hepatocellular carcinoma (HCC) is the most common primary liver cancer and has been acknowledged as a leading cause of death among cirrhosis patients. Difficulties in early diagnosis and heterogeneity are obstacles to effective treatment, especially for advanced HCC. Liver transplantation (LT) is considered the best therapy for HCC. Although many biomarkers are being proposed, alpha-fetoprotein (AFP), which was identified over 60 years ago, remains the most utilized. Recently, much hope has been placed in the immunogenicity of AFP to develop novel therapies, such as AFP vaccines and AFP-specific adoptive T-cell transfer (ACT). This review summarizes the performance of AFP as a biomarker for HCC diagnosis and prognosis, as well as its correlation with molecular classes. In addition, the role of AFP in LT is also described. Finally, we highlight the mechanism and application prospects of two immune therapies (AFP vaccine and ACT) for HCC. In general, our review points out the prevalence of AFP in HCC, accompanied by some controversies and novel directions for future research.

Hepatocellular Carcinoma Tumor Microenvironment and Its Implications in Terms of Anti-tumor Immunity: Future Perspectives for New Therapeutics

PURPOSE

Hepatocellular cancer is an insidious tumor that is often diagnosed in a later stage of life. The tumor microenvironment is the key to tumorigenesis and progression. Many cellular and non-cellular components orchestrate the intricate process of hepatocarcinogenesis. The most important feature of hepatocellular cancer is the immune evasion process. The present review aims to summarize the key components of the tumor microenvironment in the immune evasion process.

METHODS

Google Scholar and PubMed databases have been searched for the mesh terms "Hepatocellular carcinoma" or "Liver Cancer" and "microenvironment." The articles were reviewed and the components of the tumor microenvironment were summarized.

RESULTS

The tumor microenvironment is composed of tumor cells and non-tumoral stromal and immune cells. HCC tumor microenvironment supports aggressive tumor behavior, provides immune evasion, and is an obstacle for current immunotherapeutic strategies. The components of the tumor microenvironment are intratumoral macrophages (tumor-associated macrophages (TAM)), bone marrow-derived suppressor cells, tumor-associated neutrophils (TAN), fibroblasts in the tumor microenvironment, and the activated hepatic stellate cells.

CONCLUSION

There are intricate mechanisms that drive hepatocarcinogenesis. The tumor microenvironment is at the center of all the complex and diverse mechanisms. Effective and multistep immunotherapies should be developed to target different components of the tumor microenvironment.

Cyclin-Dependent Kinase 4 is expected to be a therapeutic target for hepatocellular carcinoma metastasis using integrated bioinformatic analysis

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. HCC cells possess biological characteristics of high invasion and metastasis. In this respect, to prevent cancer cell invasion and metastasis and early active intervention, we herein screened through the TCGA database for further prognostic analysis including overall survival and disease-free survival . The Kaplan-Meier curve suggested that Cyclin-Dependent Kinase 4 (CDK4) might be an independent prognostic factor for HCC. Moreover, we performed mRNA expression analysis to measure CDK4 levels in normal liver tissues and HCC tissues, and immunohistochemistry analysis to detect protein level of CDK4 in Non-tumor tissue and HCC tissues . Our findings indicated that the expression of CDK4 was significantly higher in tumor tissues compared with Non-tumor tissue in HCC, which increased from HCC stage 1 to 3. Furthermore, the results of transwell-assay indicated that knocking down CDK4 significantly suppresses the invasion and migration of HCC cells, and the results of bioinformatics analysis revealed that genes closely associated with CDK4 are potentially worthy of further investigation. Additionally, the results of Western Blot indicated CDK4 regulates epithelial mesenchymal transition in HCC,and CDK4 appears to regulate EMT and HCC progression via the Wnt/β-catenin pathway. Collectively, this study found the key target gene through bioinformatic analysis and further functional validation through cell experiments. In particular, CDK4 is anticipated to become a crucial hub gene to snipe the metastasis of cancer cells in HCC.Abbreviations: Hepatocellular carcinoma (HCC);Cyclin-Dependent Kinase 4(CDK4);Genomic Data Commons (GDC); genes; EC, Endometrial cancer; GEO, gene expression omnibus; GO, Gene Ontology; GSEA, Gene set enrichment analysis; KEGG, Database; TCGA, The Cancer Genome Atlas; TSGs, tumor suppressor genes;epithelial mesenchymal transition (EMT).

Effects of alcohol consumption on viral hepatitis B and C

The liver is the main target organ for hepatitis viruses and the vital organ for alcohol metabolism. These two factors of viral hepatitis and alcohol abuse in combination can exert dual harmful actions, leading to enhanced damage to the liver. Epidemiological studies have revealed a higher prevalence of hepatitis C virus (HCV) infection among alcoholics than the general population. The interaction of alcohol with viral hepatitis [e.g., hepatitis B virus (HBV), HCV] and the underlying mechanisms are not fully understood. The effects of alcohol on viral hepatitis include promoted viral replication, weakened immune response, and increased oxidative stress. Clinically, alcohol abuse is correlated with an increased risk of developing end-stage liver cirrhosis and hepatocellular carcinoma in patients with chronic hepatitis B and C, suggesting that the combination of alcohol and HBV/HCV lead to more severe liver damage. The influence of mild to moderate alcohol drinking on the HBV-induced liver fibrosis, cirrhosis, and hepatocellular carcinoma among patients infected with HBV remains unclear. Unlike HBV infected patients, no safe level of alcohol intake has been established for patients with HCV. Even light to moderate alcohol use can exert a synergistic effect with viral hepatitis, leading to the rapid progression of liver disease. Furthermore, interferon-based therapy is less effective in alcohol drinkers than in control patients, even after abstinence from alcohol for a period of time. Therefore, abstaining from alcohol is highly recommended to protect the liver, especially in individuals with HBV/HCV infection, to improve the clinical efficacy of antiviral treatment and prevent the rapid progression of chronic viral hepatitis.

A validation study of combined resection and ablation therapy for multiple hepatocellular carcinoma

AIM

To validate the utility of hepatic resection combined with complementary radiofrequency ablation (RFA) compared with resection alone for patients with multiple hepatocellular carcinoma (HCC), and to compare these results with those of a previous report.

MATERIALS AND METHODS

A total of 78 HCC patients with multiple (≤5) tumours who were initially treated with hepatic resection only (Resection group) or with combined hepatic resection and RFA (Combination group) were included. Overall and disease-free survival were analysed.

RESULTS

There were 21 women and 57 men with a median age of 72.5 (64.3-76.8) years. Fifty-three patients were treated with resection alone and 25 received combination therapy. The 3-, 5-, and 7-year cumulative overall survival rates were 81.2%, 68.2%, and 57.1%, respectively, in the Resection group, and 81.3%, 59.6%, and 42.4%%, respectively, in the Combination group (hazard ratio [HR], 1.462; 95% confidence interval [CI], 0.682-3.136; p=0.329). The 1-, 3-, and 5-year cumulative disease-free survival rates were 61.4%, 45.7%, and 39.8%, respectively, in the Resection group, and 53.1%, 18.6%, and 0%, respectively, in the Combination group (HR, 2.080; 95% CI, 1.157-3.737; p=0.014). The overall survival rate was not significantly different between the Resection and Combination groups in patients within the up-to-seven HCC criteria (n=56; HR, 2.101; 95% CI, 0.805-5.486; p=0.130) or those beyond these criteria (n=22; HR, 0.804; 95% CI, 0.197-3.286; p=0.761).

CONCLUSIONS

The combination of hepatic resection and RFA therapy may be an effective strategy for HCC patients with multiple tumours.

Serum Beclin 1 and autophagy-related protein-5 and the risk of hepatocellular carcinoma among cirrhotic hepatitis C patients

Background

The most common primary liver cancer in adults is hepatocellular carcinoma (HCC) which is commonly presented with a poor prognosis. Therefore, it is important to explore effective biomarkers and therapeutic targets for HCC patients. Autophagy is involved in the development and prevention of cancer. Mammalian Beclin-1 is needed for an autophagic vesicle in HCC. Autophagy-related protein-5 (ATG5) is an important molecule involved in cell death during autophagy. The objective is to investigate serum ATG 5 and Beclin 1 levels in HCV-induced liver cirrhosis with and without HCC. The study was conducted on 80 individuals classified into 3 groups:

Results

Serum ATG 5 was significantly lower in HCC than liver cirrhosis patients. Serum Beclin 1 was significantly higher in HCC than liver cirrhosis patients. A cutoff value of < 95.7 and > 5.3 of serum ATG5 and Beclin 1 could be suggested for diagnosis of HCC among patients with HCV-related cirrhosis.

Conclusion

Serum Beclin 1 and ATG 5 could be used as a novel diagnostic marker for HCC. Moreover, scoring of serum BECLIN 1, ATG 5, and cachexia might be a future promising tool to predict the risk of HCC development.

Impact of modified albumin-bilirubin grade on survival in patients with HCC who received lenvatinib

We investigated the impact on survival of modified albumin-bilirubin (mALBI) grade versus Child-Pugh classification in patients with hepatocellular carcinoma (HCC) who received lenvatinib. A total of 524 patients with HCC who received lenvatinib were included. Univariate analysis showed that mALBI grade 2b/3 and Child-Pugh class B/C were significantly associated with survival [hazard ratio (HR), 2.471; 95% confidence interval (CI), 1.944-3.141 and HR, 2.178; 95%CI, 1.591-2.982]. In patients with a Child-Pugh score of 5, multivariate analysis showed that mALBI grade 2b/3 was independently associated with survival (HR, 1.814; 95%CI, 1.083-3.037). Conversely, among patients with mALBI grade 1/2a, there was no difference in survival between those with a Child-Pugh class of 5 or 6 (p = 0.735). Time-dependent receiver operating characteristic analysis showed that the ALBI score predicted survival better than the Child-Pugh score. The optimal cut-off value of the ALBI score for predicting survival was nearly the same as the value separating mALBI grades 2a and 2b. In conclusion, the mALBI grade was a better predictor of survival than the Child-Pugh classification in patients with unresectable HCC who received lenvatinib therapy.

2-Methoxyestradiol synergizes with Erlotinib to suppress hepatocellular carcinoma by disrupting the PLAGL2-EGFR-HIF-1/2α signaling loop

Erlotinib, an EGFR tyrosine kinase inhibitor has been introduced into cancer chemotherapy. However, the therapeutic effects of erlotinib in hepatocellular carcinoma (HCC) remain vaguely understood. Our previous study found that a hypoxia-mediated PLAGL2-EGFR-HIF-1/2α signaling loop in HCC decreased response to erlotinib. The current study has demonstrated that the combination of erlotinib and 2ME2 exerted synergistic antitumor effects against HCC. Further investigation showed that erlotinib increased the expression level of EGFR, HIF-2α, and PLAGL2, which contributes to the insensitivity of hypoxic HCC cells to erlotinib. The simultaneous exposure to 2ME2 effectively inhibited the expression level of EGFR, HIF-2α, and PLAGL2 that was induced by erlotinib. This contributes to the synergistic effect of the two therapeutic agents. Furthermore, the combination of erlotinib and 2ME2 induced apoptosis and inhibited the stemness of hypoxic HCC cells. Our findings potentially explain the mechanism of HCC insensitivity to erlotinib and provide a new strategy of combining EGFR and HIF1/2α inhibitors for HCC treatment.

Genomic Landscape of Liquid Biopsy for Hepatocellular Carcinoma Personalized Medicine

Hepatocellular carcinoma (HCC) is the sixth most frequently diagnosed cancer and the third leading cause of cancer-related deaths worldwide. Advanced-stage HCC patients have poor survival rates and this requires the discovery of novel clear biomarkers for HCC early diagnosis and prognosis, identifying risk factors, distinguishing HCC from non-HCC liver diseases, and assessment of treatment response. Liquid biopsy has emerged as a novel minimally invasive approach to enable monitoring tumor progression, metastasis, and recurrence. Since the liquid biopsy analysis has relatively high specificity and low sensitivity in cancer early detection, there is a risk of bias. Next-generation sequencing (NGS) technologies provide accurate and comprehensive gene expression and mutational profiling of liquid biopsies including cell-free circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and genomic components of extracellular vesicles (EVs) including micro-RNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs). Since HCC is a highly heterogeneous cancer, HCC patients can display various genomic, epigenomic, and transcriptomic patterns and exhibit varying sensitivity to treatment options. Identification of individual variabilities in genomic signatures in liquid biopsy has the potential to greatly enhance precision oncology capabilities. In this review, we highlight and critically discuss the latest progress in characterizing the genomic landscape of liquid biopsy, which can advance HCC personalized medicine.

Role of Alpha-Fetoprotein in Hepatocellular Carcinoma Drug Resistance

Hepatocellular carcinoma (HCC) is a major type of primary liver cancer and a major cause of cancer-related deaths worldwide because of its high recurrence rate and poor prognosis. Surgical resection is currently the major treatment measure for patients in the early and middle stages of the disease. Because due to late diagnosis, most patients already miss the opportunity for surgery upon disease confirmation, conservative chemotherapy (drug treatment) remains an important method of comprehensive treatment for patients with middle- and late-stage liver cancer. However, multidrug resistance (MDR) in patients with HCC severely reduces the treatment effect and is an important obstacle to chemotherapeutic success. Alpha-fetoprotein (AFP) is an important biomarker for the diagnosis of HCC. The serum expression levels of AFP in many patients with HCC are increased, and a persistently increased AFP level is a risk factor for HCC progression. Many studies have indicated that AFP functions as an immune suppressor, and AFP can promote malignant transformation during HCC development and might be involved in the process of MDR in patients with liver cancer. This review describes drug resistance mechanisms during HCC drug treatment and reviews the relationship between the mechanism of AFP in HCC development and progression and HCC drug resistance.

Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine

Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver with high morbidity and mortality rates worldwide. Since 1963, when alpha-fetoprotein (AFP) was discovered as a first HCC serum biomarker, several other protein biomarkers have been identified and introduced into clinical practice. However, insufficient specificity and sensitivity of these biomarkers dictate the necessity of novel biomarker discovery. Remarkable advancements in integrated multiomics technologies for the identification of gene expression and protein or metabolite distribution patterns can facilitate rising to this challenge. Current multiomics technologies lead to the accumulation of a huge amount of data, which requires clustering and finding correlations between various datasets and developing predictive models for data filtering, pre-processing, and reducing dimensionality. Artificial intelligence (AI) technologies have an enormous potential to overcome accelerated data growth, complexity, and heterogeneity within and across data sources. Our review focuses on the recent progress in integrative proteomic profiling strategies and their usage in combination with machine learning and deep learning technologies for the discovery of novel biomarker candidates for HCC early diagnosis and prognosis. We discuss conventional and promising proteomic biomarkers of HCC such as AFP, lens culinaris agglutinin (LCA)-reactive L3 glycoform of AFP (AFP-L3), des-gamma-carboxyprothrombin (DCP), osteopontin (OPN), glypican-3 (GPC3), dickkopf-1 (DKK1), midkine (MDK), and squamous cell carcinoma antigen (SCCA) and highlight their functional significance including the involvement in cell signaling such as Wnt/β-catenin, PI3K/Akt, integrin αvβ3/NF-κB/HIF-1α, JAK/STAT3 and MAPK/ERK-mediated pathways dysregulated in HCC. We show that currently available computational platforms for big data analysis and AI technologies can both enhance proteomic profiling and improve imaging techniques to enhance the translational application of proteomics data into precision medicine.

Liver cancer mortality over six decades in an epidemic area: what we have learned

Background and aims:

Liver cancer is one of the most dominant malignant tumors in the world. The trends of liver cancer mortality over the past six decades have been tracked in the epidemic region of Qidong, China. Using epidemiological tools, we explore the dynamic changes in age-standardized rates to characterize important aspects of liver cancer etiology and prevention.

Methods

Mortality data of liver cancer in Qidong from 1958 to 1971 (death retrospective survey) and from 1972 to 2017 (cancer registration) were tabulated for the crude rate (CR), and age-standardized rate and age-birth cohorts. The average annual percentage change was calculated by the Joinpoint Regression Program.

Results

The natural death rate during 1958–2017 decreased from 9‰ to 5.4‰ and then increased to 8‰ as the population aged; cancer mortality rates rose continuously from 57/10⁵ to 240/10⁵. Liver cancer mortality increased from 20/10⁵ to 80/10⁵, and then dropped to less than 52/10⁵ in 2017. Liver cancer deaths in 1972–2017 accounted for 30.53% of all cancers, with a CR of 60.48/10⁵, age-standardized rate China (ASRC) of 34.78/10⁵, and ASRW (world) of 45.71/10⁵. Other key features were the CR for males and females of 91.86/10⁵ and 29.92/10⁵, respectively, with a sex ratio of 3.07:1. Period analysis showed that the ASRs for mortality of the age groups under 54 years old had a significant decreasing trend. Importantly, birth cohort analysis showed that the mortality rate of liver cancer in 40–44, 35–39, 30–34, 25–29, 20–24, 15–19 years cohort decreased considerably, but the rates in 70–74, and 75+ increased.

Conclusions

The crude mortality rate of liver cancer in Qidong has experienced trends from lower to higher levels, and from continued increase at a high plateau to most recently a gradual decline, and a change greatest in younger people. Many years of comprehensive prevention and intervention measures have influenced the decline of the liver cancer epidemic in this area. The reduction of intake levels of aflatoxin might be one of the most significant factors as evidenced by the dramatic decline of exposure biomarkers in this population during the past three decades.

Platelet-lymphocyte ratio predicts survival in patients with hepatocellular carcinoma who receive lenvatinib: an inverse probability weighting analysis

OBJECTIVE

Lenvatinib, a newly developed molecularly targeted agent, has become available as a first-line therapy in patients with unresectable hepatocellular carcinoma (HCC). The platelet-to-lymphocyte ratio (PLR) has been associated with poor outcome in various malignancies, including HCC. In this study, we investigated the ability of PLR to predict outcomes in patients with unresectable HCC who received lenvatinib.

METHODS

Multivariate survival analysis was performed in 283 patients with unresectable HCC who received lenvatinib. In addition, the utility of PLR for predicting survival was clarified using an inverse probability weighting (IPW) analysis.

RESULTS

Cumulative overall survival at 100, 200, 300, 400, and 500 days was 95.2, 83.8, 68.3, 60.3, and 49.9%, respectively. Multivariate analysis with Cox proportional hazards modeling showed that PLR (≥150) [hazard ratio, 1.588; 95% confidence interval (CI), 1.039-2.428; P = 0.033], α-fetoprotein level, and Barcelona clinic liver cancer stage were independently associated with overall survival. Cumulative overall survival differed significantly between patients with low versus high PLR (P = 0.029). In addition, univariate analysis with Cox proportional hazards modeling adjusted by IPW showed that PLR (≥150) (hazard ratio, 1.396; 95% CI, 1.051-1.855; P = 0.021) was significantly associated with overall survival. Conversely, univariate analysis with Cox proportional hazards modeling adjusted only by IPW showed that PLR (≥150) (hazard ratio, 1.254; 95% CI, 1.016-1.549; P = 0.035) was significantly associated with progression-free survival. PLR values were not independently associated with therapeutic responses before or after IPW-adjusted logistic regression analysis.

CONCLUSIONS

PLR predicted overall survival in patients with unresectable HCC who received lenvatinib.

Impact of Early Lenvatinib Administration on Survival in Patients with Intermediate-Stage Hepatocellular Carcinoma: A Multicenter, Inverse Probability Weighting Analysis

AIM/BACKGROUND

Transarterial chemoembolization (TACE) is recommended for patients with intermediate-stage hepatocellular carcinoma (HCC). In this study, we investigated the impact of early lenvatinib administration in patients with intermediate-stage HCC, especially those with tumors beyond the up-to-7 criteria.

MATERIALS/METHODS

A total of 208 patients with intermediate-stage HCC whose initial treatment was early lenvatinib administration or TACE were enrolled. Multivariate overall survival analysis was performed in this cohort. In addition, the impact of early lenvatinib administration on survival in patients with HCC beyond the up-to-7 criteria was clarified using inverse probability weighting (IPW) analysis.

RESULTS

The overall cumulative survival rates at 6, 12, 18, and 24 months were 94.4, 79.9, 65.8, and 50.1%, respectively. Multivariate analysis with Cox proportional hazards modeling showed that HCC treatment with lenvatinib (hazard ratio [HR], 0.199; 95% confidence interval [CI], 0.077-0.517; p < 0.001), α-fetoprotein ≥100 ng/mL (HR, 1.687), Child-Pugh class B disease (HR, 1.825), and beyond the up-to-7 criteria (HR, 2.016) were independently associated with overall survival. The 6-, 12-, 18-, and 24-month cumulative survival rates were 96.0, 90.4, 65.7, and 65.7%, respectively, in patients treated with lenvatinib, and 94.1, 78.5, 65.3, and 48.4%, respectively, in patients who received TACE (p < 0.001). In addition, univariate analysis with Cox proportional hazards modeling adjusted by IPW showed that lenvatinib therapy was significantly associated with overall survival in patients with HCC beyond the up-to-7 criteria (HR, 0.230; 95% CI, 0.059-0.904; p = 0.035).

CONCLUSIONS

Lenvatinib may be a suitable first-line treatment for patients with intermediate-stage HCC beyond the up-to-7 criteria.

Influence of Alanine Transaminase Levels on Alpha-Fetoprotein for Predicting Hepatocellular Carcinoma in Patients with Hepatitis B Infection

Purpose

To investigate the influence of alanine transaminase (ALT) on the accuracy of alpha-fetoprotein (AFP) for detecting hepatocellular carcinoma (HCC).

Methods

This retrospective study recruited 799 patients with HCC, cirrhosis, and chronic hepatitis due to hepatitis B infection and healthy adults between July 2017 and January 2019. Comparisons of the area under the receiver operating characteristic curves (AUCs) for detecting HCC in different ALT levels were calculated.

Results

Serum ALT and gamma-glutamyl transferase levels were significantly associated with elevated AFP in patients without HCC. The AUC of AFP was higher in patients with ALT ≤ 2 upper limit of normal (ULN) than in patients with ALT > 2 ULN (0.806 vs. 0.611, P < 0.001). Nevertheless, there were no significant differences in the AUCs of AFP/(ALT × aspartate aminotransferase (AST)) in patients with ALT ≤ 2 ULN and with ALT > 2 ULN (0.745 vs. 0.769, P = 0.68). AFP/(ALT × AST) was better than AFP in patients with ALT > 2 ULN for detecting HCC (P < 0.001).

Conclusions

Higher ALT levels might impair the accuracy of AFP for diagnosing HCC. AFP tests showed better accuracy in patients with ALT ≤ 2 ULN whereas the AFP/(ALT × AST) ratio was recommended in patients with elevated ALT levels.

Fluorescence sensing strategy based on aptamer recognition and mismatched catalytic hairpin assembly for highly sensitive detection of alpha-fetoprotein

At present, alpha fetoprotein (AFP) is mainly used as a serum marker of primary Hepatocellular carcinoma. A simple, enzyme-free sensing strategy is introduced for highly sensitive fluorescence detection of AFP. This detection strategy is based on aptamer recognition and mismatched catalytic hairpin assembly (MCHA). At first, Trigger is locked by aptamer before the introduction of AFP in this aptamer-MCHA system. The aptamer preferentially combines with AFP via powerful attraction in the presence of AFP. This results in the release of trigger and initiation of MCHA cycle, thus forming the H1 and H2 double chain complexes (denoted as H1@H2). Finally, H1@H2 and double chain structure containing fluorophore and its quenched group- BHQ1 (denoted as F@Q) initiated displacement reaction, which caused double chain separation and fluorescence recovery. This assay produces a wide detection range, which is from 0.1 ng mL^-1 to 10 μg mL^-1 and the limit of detection as 0.033 ng mL^-1. The whole detection process was performed at 37 °C for 60 min. In addition, this assay had high anti-interference ability and could be used to detect AFP in clinical serum. This novel AFP detection strategy is able to screen of Hepatocellular carcinoma.

Clinical Patterns and Outcome of Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) may develop into liver cirrhosis and hepatocellular carcinoma (HCC). The aim of this study was to compare the clinical patterns and survival outcomes of NAFLD-related HCC patients and those of alcoholic liver disease (ALD)-related or hepatitis B virus (HBV)-related HCC patients.

METHODS

A total of 622 HCC patients with associated NAFLD (n = 56), ALD (n = 173), or HBV infection (n = 393) were enrolled. The clinical characteristics and survival were analyzed according to the underlying liver diseases.

RESULTS

NAFLD-related HCC patients were more commonly older women and had more metabolic risk factors but were less likely to have cirrhosis and ascites, compared to ALD-related or HBV-related HCC patients. NAFLD-related HCC more often had an infiltrative pattern (P=0.047), a larger tumor (P=0.001), more macrovascular invasion (P=0.022), and exceeded the Milan criteria (P=0.001), but was less frequently diagnosed during tumor surveillance (P=0.025). Survival analysis did not show any difference among NAFLD-related, ALD-related, and HBV-related HCC patients. Furthermore, propensity score matching analysis did not reveal a significant difference in the median survival between the different groups (NAFLD vs. ALD, 14.0 months [95% confidence interval (CI), 2.0-26.0] vs. 13.0 months [95% CI, 0-26.3]; P=0.667, NAFLD vs. HBV, 14.0 months [95% CI, 2.0-26.0] vs. 12.0 months [95% CI, 4.3-17.8]; P=0.573).

CONCLUSIONS

NAFLD-related HCCs were more often detected at an advanced stage with infiltrative patterns, although they showed no significant difference in survival compared to ALD-related or HBV-related HCCs. A future prospective research should be focused on identifying NAFLD patients who require strict surveillance in order to early detect and timely treat HCC.

Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment

Hepatocellular carcinoma (HCC) is one of the main cancer-related causes of death worldwide. Thus, there is a constant search for improvement in screening, diagnosis, and treatment strategies to improve the prognosis of this malignancy. The identification of useful biomarkers for surveillance and early HCC diagnosis is still deficient, with available serum biomarkers showing low sensitivity and heterogeneous specificity despite different cut-off points, even when assessed longitudinally, or with a combination of serum biomarkers. In contrast, HCC biomarkers used for prognostic (when associated with clinical outcomes) or predictive purposes (when associated with treatment response) may have an increased clinical role in the near future. Furthermore, some serum biomarkers are already implicated as a treatment selection tool, whether to provide access to certain therapies or to assess clinical benefit after treatment. In the present review we will discuss the clinical utility and foreseen future of HCC biomarkers implicated in surveillance, diagnosis, prognosis, and post-treatment assessment.

Evolution of etiology, presentation, management and prognostic tool in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide, but its current status is unclear. We aimed to investigate the evolution of etiology, presentation, management and prognostic tool in HCC over the past 12 years. A total of 3349 newly diagnosed HCC patients were enrolled and retrospectively analyzed. The comparison of survival was performed by the Kaplan-Meier method with the log-rank test. Hepatitis B and C virus infection in HCC were continuously declining over the three time periods (2004–2007, 2008–2011, 2012–2015; p < 0.001). At diagnosis, single tumor detection rate increased to 73% (p < 0.001), whereas vascular invasion gradually decreased to 20% in 2012–2015 (p < 0.001). Early stage HCC gradually increased from 2004–2007 to 2012–2015 (p < 0.001). The probability of patients receiving curative treatment and long-term survival increased from 2004–2007 to 2012–2015 (p < 0.001). The Cancer of Liver Italian Program (CLIP) and Taipei Integrated Scoring (TIS) system were two more accurate staging systems among all. In conclusion, the clinical presentations of HCC have significantly changed over the past 12 years. Hepatitis B and C virus-associated HCC became less common, and more patients were diagnosed at early cancer stage. Patient survival increased due to early cancer detection that results in increased probability to undergo curative therapies.

Biology and significance of alpha-fetoprotein in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related deaths globally due, in part, to the majority of patients being diagnosed with intermediate or advanced stage disease. Our increased understanding of the heterogeneous molecular pathogenesis of HCC has led to significant developments in novel targeted therapies. Despite these advances, there remains a high unmet need for new treatment options. HCC is a complex disease with multiple pathogenic mechanisms caused by a variety of risk factors, making it difficult to characterize with a single biomarker. In fact, numerous biomarkers have been studied in HCC, but alpha-fetoprotein (AFP) remains the most widely used and accepted serum marker since its discovery over 60 years ago. This review summarizes the most relevant studies associated with the regulation of AFP at the gene and protein levels; the pathophysiology of AFP as a pro-proliferative protein; and the correlation of AFP with molecular HCC subclasses, the vascular endothelial growth factor pathway and angiogenesis. Also described are the historical and current uses of AFP for screening and surveillance, diagnosis, its utility as a prognostic and predictive biomarker and its role as a tumour antigen in HCC. Taken together, these data demonstrate the relevance of AFP for patients with HCC and identify several remaining questions that will benefit from future research.

RATIONALE 301 study: tislelizumab versus sorafenib as first-line treatment for unresectable hepatocellular carcinoma

Advanced, unresectable hepatocellular carcinoma (HCC) has a poor prognosis with median life expectancy of approximately 1 year. Overexpression of PD-L1 in tumor cells and PD-1 on tumor-infiltrating T cells has been associated with poorer prognosis, more advanced disease and higher recurrence rates in HCC. Monoclonal antibodies against PD-1 have demonstrated antitumor activity in patients with solid tumors, including HCC. Tislelizumab, an investigational, humanized IgG4 monoclonal antibody with high affinity and binding specificity for PD-1, has demonstrated preliminary antitumor activity in HCC. Here we describe a head-to-head Phase III study comparing the efficacy, safety and tolerability of tislelizumab with sorafenib as first-line treatment in unresectable HCC.

Systems Challenges of Hepatic Carcinomas: A Review

Hepatocellular Carcinoma (HCC) is ubiquitous in its prevalence in most of the developing countries. In the era of systems biology, multi-omics has evinced an extensive approach to define the underlying mechanism of disease progression. HCC is a multifactorial disease and the investigation of progression of liver cirrhosis becomes much extensive with cultivating omics approaches. We have performed a comprehensive review about such challenges in multi-omics approaches that are concerned to identify the immunological, genetics and epidemiological factors associated with HCC.

The Role of Thyroid Hormones in Hepatocyte Proliferation and Liver Cancer

Thyroid hormones T3 and T4 (thyroxine) control a wide variety of effects related to development, differentiation, growth and metabolism, through their interaction with nuclear receptors. But thyroid hormones also produce non-genomic effects that typically start at the plasma membrane and are mediated mainly by integrin αvβ3, although other receptors such as TRα and TRβ are also able to elicit non-genomic responses. In the liver, the effects of thyroid hormones appear to be particularly important. The liver is able to regenerate, but it is subject to pathologies that may lead to cancer, such as fibrosis, cirrhosis, and non-alcoholic fatty liver disease. In addition, cancer cells undergo a reprogramming of their metabolism, resulting in drastic changes such as aerobic glycolysis instead of oxidative phosphorylation. As a consequence, the pyruvate kinase isoform M2, the rate-limiting enzyme of glycolysis, is dysregulated, and this is considered an important factor in tumorigenesis. Redox equilibrium is also important, in fact cancer cells give rise to the production of more reactive oxygen species (ROS) than normal cells. This increase may favor the survival and propagation of cancer cells. We evaluate the possible mechanisms involving the plasma membrane receptor integrin αvβ3 that may lead to cancer progression. Studying diseases that affect the liver and their experimental models may help to unravel the cellular pathways mediated by integrin αvβ3 that can lead to liver cancer. Inhibitors of integrin αvβ3 might represent a future therapeutic tool against liver cancer. We also include information on the possible role of exosomes in liver cancer, as well as on recent strategies such as organoids and spheroids, which may provide a new tool for research, drug discovery, and personalized medicine.

Cost–effectiveness analysis of treatments involving radioembolization in intermediate-stage hepatocellular carcinoma

Aim: We evaluated two treatment sequences, transarterial radioembolization followed by transarterial chemoembolization and possibly sorafenib (=TTS) versus transarterial radioembolization followed by sorafenib alone (=TS), to identify the most cost-effective pathway to treat intermediate-stage hepatocellular carcinoma from the Italian healthcare system perspective. Materials & methods: A Markov model was developed to project costs and health outcomes for TTS and TS over a lifetime horizon. Data available at three hospitals in Italy were collected. Healthcare resource utilization was derived from standard clinical protocols. Costs were obtained from official regional tariffs. Results & Conclusion: Taking into consideration 16 patients for TTS and 22 patients for TS pathways, the TTS sequence provided a dominant strategy in comparison to TS. Further evidence is desirable to confirm these results.

Anti-IL-20 monoclonal antibody inhibited tumor growth in hepatocellular carcinoma

Interleukin (IL)-20 is a proinflammatory cytokine involved in rheumatoid arthritis, atherosclerosis, and osteoporosis. However, the role of IL-20 in hepatocellular carcinoma (HCC) is unclear. We explored the function of IL-20 in HCC. Tumor tissue samples were analyzed the expression of IL-20 and cyclin D1 by using immunohistochemistry staining and quantitative real-time polymerase chain reaction (qRT-PCR) analysis. To examine the role of anti-IL-20 monoclonal antibody (7E) in tumor growth, BALB/c mice was injected with ML-1 cells and treated with 7E. HCC tumor tissue expressed higher levels of IL-20 than did non-tumor tissue. High IL-20 expression in HCC was correlated with poor overall survival (relative risk:>3). IL-20 and cyclin D1 expression were also highly correlated in HCC patient specimens and 3 human HCC cell lines. IL-20 also increased cell proliferation and migration, and it regulated matrix metalloproteinase (MMP)-13, tumor necrosis factor (TNF)-α, cyclin D1, and p21^WAF1 expression in ML-1 cells. 7E attenuated tumor growth in mice inoculated with ML-1 cells. The expression of cyclin D1, TNF-α, MMP-9, and vascular endothelial growth factor was significantly inhibited after 7E treatment. The findings of this study suggest that IL-20 plays a role in the tumor progression of HCC.

Novel therapeutic modalities and drug delivery - erlotinib liposomes modified with galactosylated lipid: in vitro and in vivo investigations

The aim of this study to develop galactosylated erlotinib liposomes for treatment of lung cancer. The liposomes were prepared by using solvent evaporation method. Various parameters such as particle size, zeta potential, entrapment efficiency, stability and in vitro drug release were determined. The size of liposomes (both conventional and modified) was 103.5 and 121.4 nm. The zeta potential and EE of both liposomes were -7.1 ± 1.3 mV, -1.2 ± 0.5 mV and (82.3 ± 1.9)%, (83.4 ± 1.5)%, respectively. It was found that modified liposomes increase the size of particles. The in vitro release results indicated that the release of erlotinib from galactosylated liposomes was similar to that of conventional liposome, demonstrating that the modification did not affect erlotinib release. From the result of in vivo, it proved that erlotinib liposomes can significantly improve the drug targeting, rapidly distribute the drug in the body, prolong the drug circulation time and significantly increase the relative bioavailability of the drug. Biodistribution studies showed that erlotinib from galactosylated liposomes had higher AUC inside liver than the injection group and no histological change occurred to the rat liver after the administration of erlotinib conventional and galactosylated liposomes.

Long non-coding RNA AB209630 suppresses cell proliferation and metastasis in human hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers worldwide and the second most common cause of cancer-related mortalities. With a high potential for metastasis and recurrence, HCC is refractory to cure. The present study aimed to explore the role of a recent-discovered LncRNA, AB209630, in human HCC, in order to provide new insights useful for clinical HCC diagnosis and treatment. Reverse transcription-quantitative polymerase chain reaction was performed to examine the expression of AB209630 in clinical HCC samples and the adjacent non-cancerous tissues. The reduced expression of AB209630 observed in HCC tissues and cultured HCC cells compared with normal hepatic tissues and cells prompted the construction of an AB209630-expressing plasmid with a CBP tag on the plasmid backbone. Cell proliferation and colony formation assays were conducted to detect the effects of AB209630 on HCC cell proliferation. In addition, Transwell assay and wound-healing assays were performed, the results of which further indicated that the overexpression of AB209630 inhibited the migration and invasion of HCC cells. These results revealed the inhibitory effects of AB209630 on HCC progression, and suggest the potential of AB209630 as an inhibitor of HCC for clinical use.

Serum microRNAs as predictors for liver fibrosis staging in hepatitis C virus-associated chronic liver disease patients

Accurate staging of liver fibrosis is important for clinical decision making and personalized management. Liver fibrosis is influenced by patients' genomics, including IFNL3 genotype and microRNA expression. However, incorporating microRNAs into fibrosis prediction algorithms has not been investigated. We examined the potential of eight selected serum microRNAs; miR-122, miR-126, miR-129, miR-199a, miR-155, miR-203a, miR-221, and miR-223 as non-invasive biomarkers to stage liver fibrosis in HCV-associated chronic liver disease (HCV-CLD). 145 Egyptian HCV-CLD patients were divided according to Metavir fibrosis scores. MicroRNAs and IFNL3 rs12979860 genotype were assayed by RT-qPCR and allelic discrimination techniques, respectively. Serum miR-122 was downregulated, whereas miR-203a and miR-223 were upregulated in significant fibrosis (≥F2) compared with no/mild fibrosis (F0-F1). Serum miR-126, miR-129, miR-203a, and miR-223 were upregulated in severe fibrosis (≥F3) and cirrhosis (F4) compared with F0-F2 and F0-F3, respectively. miR-221 was upregulated in ≥F3, but unchanged in F4. miR-155, miR-199a, and IFNL3 rs12979860 genotype were not significantly different in all comparisons. Differentially expressed serum microRNAs discriminated ≥F2, ≥F3, and F4 by receiver-operating-characteristic analysis. Multivariate logistic analysis revealed a model combining miR-129, miR-223, AST, and platelet count with high diagnostic accuracy for ≥F3 (AUC=0.91). The model also discriminated F4 (AUC=0.96) and ≥F2 (AUC=0.783), and was superior to APRI and FIB-4 in discriminating ≥F3 and F4, but not ≥F2. In conclusion, combining serum microRNAs with baseline predictors could serve as a new non-invasive algorithm for staging HCV-associated liver fibrosis. Additional studies are required to confirm this model and test its significance in liver fibrosis of other etiologies.

Erlotinib for advanced hepatocellular carcinoma. A systematic review of phase II/III clinical trials

Objectives:

To evaluate the efficacy and safety of erlotinib for the treatment of advanced hepatocellular carcinoma (HCC).

Methods:

A systematic literature search was undertaken in June 2015. Phase II/III trials of erlotinib for the treatment of advanced HCC were included. A descriptive analysis was applied. The study was conducted in College of Medicine, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China, between June 2015 and January 2016.

Results:

Ten trials, comprising 9 phase II and one phase III trial, were included in the systematic review. The tumor response rate was 0% in 4 of the phase II trials, <10% in 3 of the phase II trials and the phase III trial, and >20% in 2 of the phase II trials. The disease control rate was 42.5-79.6% in most studies. Three studies reported a median progression-free survival (PFS) of 6.5-9.0 months, although PFS was <3.5 months in most studies. Most trials reported a median overall survival of 6.25-15.65 months. The most frequent grade 3/4 toxicities were fatigue (11.9%), diarrhea (10%), increased alanine and aspartate transaminases (7.3%), and rash/desquamation (6.9%).

Conclusion:

Erlotinib provides efficacious and well-tolerated treatment for advanced HCC. However, more detailed investigations of HCC pathogenesis and evaluation of sensitive patient subsets are needed to improve outcomes of patients with advanced HCC. Additional well-designed, randomized, controlled trials are needed to evaluate the efficacy and safety of erlotinib as monotherapy or combination with other drugs for advanced HCC.

Circulating Hypermethylated RASSF1A as a Molecular Biomarker for Diagnosis of Hepatocellular Carcinoma

Background:

Detection of circulating DNA can be applied for the diagnosis of many malignant neoplasms, including the hepatocellular carcinoma (HCC). The molecular pathogenesis of HCC is complex, involving different genetic and epigenetic alterations, chromosomal aberrations, gene mutations and altered molecular pathways. RASSF1A is a well-established tumor suppressor gene which suffers frequent inactivation due to promoter hypermethylation of CPG islands in multiple tumors including HCC, resulting in the reduction or loss of gene expression.

Objective:

To examine the role of circulating RASSF1A as a non-invasive diagnostic marker for HCC.

Participant and Methods:

A total of 45 HCC patients with a background of HCV infection, 40 cases of HCV infection without tumours and 40 apparently healthy controls were subjected to full history taking, clinical examination, routine laboratory investigations, assessment of serum AFP and detection of circulating hypermethylated RASSF1A gene by methylation-sensitive restriction enzyme digestion and real-time PCR.

Results:

The level of hypermethylated RASSF1A was significantly elevated in the HCC group as compared to the HCV and control groups (p=0.001 for both). Copy number in serum was associated with increased tumor size (p value <0.001). On the other hand, no significant correlation was observed between RASSF1A and AFP (p=0.5). Using ROC curve analysis, the best cut-off for circulating serum RASSF1A to differentiate the HCC group was 8 copies/µl.

Conclusion:

The presence of hypermethylated RASSF1A in serum may be a useful and informative biomarker for HCC diagnosis and might be introduced as a screening method for populations at risk of HCC development.

Should AFP (or any biomarkers) be used for HCC surveillance?

A PURPOSE OF REVIEW

To address the controversy around the use of biomarkers for hepatocellular carcinoma (HCC) surveillance in individuals with cirrhosis or chronic hepatitis B who are at risk for development of liver cancer.

B RECENT FINDINGS

Recent studies suggest that surveillance for hepatocellular carcinoma is beneficial, even after adjustment for lead time and other biases. Alpha fetoprotein (AFP) is complementary to ultrasound (US) in surveillance, particularly in obese patients and patients with infiltrative tumors. US and AFP are both associated with harms to patients from false positive over-diagnosis, with US appearing to cause greater harms. Including patient demographic characteristics and additional biomarkers into diagnostic models is beneficial. Recent studies emphasize the advantage of time trends in biomarkers over single cross-sectional measurements.

C SUMMARY

AFP and other biomarkers are complementary to US in surveillance for HCC, especially when applied in models including patient variables and incorporating time trends in biomarker levels. With advances in genetic and molecular analysis of tumors, we may be poised at the cusp of a revolution in HCC surveillance.

Glycosylation change of alpha-1-acid glycoprotein as a serum biomarker for hepatocellular carcinoma and cirrhosis

Aim: This research is to explore the glycosylation change of alpha-1-acid glycoprotein (AGP) in hepatocellular carcinoma (HCC), cirrhosis and controls. Methods: The affinity chromatography and lectin affinity techniques were used to separate and enrich glycosylated AGP, and combined with mass spectrometry to identify and relatively quantify the glycopeptides from AGP. Results: The sialylation and fucosylation of AGP were different among HCC, cirrhosis and controls. The highly sialylated and fucosylated peptides from AGP were found in HCC and cirrhosis compared with controls. These glycopeptides showed excellent diagnostic ability to differentiate HCC from cirrhosis (area under the curve >0.9). In addition, these glycopeptides showed significantly different among four HCC stages. Conclusion: The sialylation and fucosylation change of AGP may serve as serum biomarker for HCC and cirrhosis.

Stratified Platelet-to-lymphocyte Ratio: A Novel Target for Prognostic Prediction of Hepatocellular Carcinoma after Curative Liver Resection

Background and Aims: Platelet-to-lymphocyte ratio (PLR) has been shown to predict prognosis of cancers. We aimed to evaluate the prognostic value of stratification of PLR in patients after curative liver resection (CLR) for hepatocellular carcinoma (HCC). Methods: A total of 1804 patients who underwent CLR for suspected HCC between January 2007 and January 2014 were screened for the study. All of the patients were categorized into equal tertiles according to the number of patients and the distribution of PLR. Prognostic significance was determined for overall survival (OS) and was assessed using Kaplan-Meier analysis. Univariate and multivariate Cox proportional hazard regression analyses were evaluated for association of all independent parameters with disease prognosis. Results: The optimal cut-off points of preoperative PLR were: (T1) 11.98-75.00, (T2) 75.00-113.33 and (T3) 113.33-567.50. There were obvious differences in each PLR tertile with mortality within 36 months of CLR (p_log-rank < 0.001). Multivariable analysis suggested that the level of PLR (HR = 1.004, 95%CI: 1.001-1.008, p = 0.006), portal vein thrombosis (HR = 3.406, 95%CI: 1.185-9.794, p = 0.023), number of nodules (HR = 1.810, 95%CI: 1.345-2.437, p < 0.001), Child-Turcotte-Pugh score (HR = 1.741, 95%CI: 1.129-2.684, p = 0.012) and microvascular invasion (HR = 2.730, 95%CI: 1.777-4.196, p < 0.001) were significant predictors of mortality. Kaplan-Meier analysis of overall survival (OS) demonstrated that each PLR tertile showed a progressively worse OS and apparent separation (p_log-rank = 0.016). The highest 5-year OS rate following CLR (58%) was revealed in tertile 1. In contrast, the lowest 5-year OS rate (30%) was revealed in tertile 3. Conclusion: Stratified preoperative PLR could strengthen the predictive power for OS in HCC patients with CLR.

Stratified neutrophil-to-lymphocyte ratio accurately predict mortality risk in hepatocellular carcinoma patients following curative liver resection

Objectives

Neutrophil lymphocyte ratio (NLR) has been shown to predict prognosis of cancers in several studies. This study was designed to evaluate the impact of stratified NLR in patients who have received curative liver resection (CLR) for hepatocellular carcinoma (HCC).

Methods

A total of 1659 patients who underwent CLR for suspected HCC between 2007 and 2014 were reviewed. The preoperative NLR was categorized into quartiles based on the quantity of the study population and the distribution of NLR. Hazard ratios (HRs) and 95% confidence intervals (CIs) were significantly associated with overall survival (OS) and derived by Cox proportional hazard regression analyses. Univariate and multivariate Cox proportional hazard regression analyses were evaluated for association of all independent parameters with disease prognosis.

Results

Multivariable Cox proportional hazards models showed that the level of NLR (HR = 1.031, 95%CI: 1.002-1.060, P = 0.033), number of nodules (HR = 1.679, 95%CI: 1.285-2.194, P<0.001), portal vein thrombosis (HR = 4.329, 95%CI: 1.968-9.521, P<0.001), microvascular invasion (HR = 2.527, 95%CI: 1.726-3.700, P<0.001) and CTP score (HR = 1.675, 95%CI: 1.153-2.433, P = 0.007) were significant predictors of mortality. From the Kaplan-Meier analysis of overall survival (OS), each NLR quartile showed a progressively worse OS and apparent separation (log-rank P=0.008). The highest 5-year OS rate following CLR (60%) in HCC patients was observed in quartile 1. In contrast, the lowest 5-year OS rate (27%) was obtained in quartile 4.

Conclusions

Stratified NLR may predict significantly improved outcomes and strengthen the predictive power for patient responses to therapeutic intervention.

Lack of Any Relationship Between Circulating Autoantibodies and Interleukin–6 Levels in Egyptian Patients Infected with the Hepatitis C Virus

Introduction: Elevated serum interleukin (IL) 6 has been reported in patients infected with the hepatitis C virus (HCV), but it remains debatable whether this influences the production of autoantibodies and the biochemical profile of HCV disease. Therefore, this current study was conducted to evaluate the relationship between IL-6 and circulating autoantibody levels in HCV positive patients. Methods: Levels of IL-6 in serum samples from 102 patients with HCV and 103 normal controls were determined by enzyme linked immunosorbent assay (ELISA). Autoantibodies were detected by immunofluorescence. Results: Levels of IL-6 were significantly higher (p=0.028) in patients infected with (HCV) compared with normal group. Autoantibodies were noted in in 43.1% of the patients; of these, 23.5% featured anti-nuclear antibodies (ANA+), 16.7% anti-smooth muscle antibodies (ASMA+), 7.8% anti-mitochondrial antibodies (AMA+), 17.6% anti-parietal cell antibodies (APCA+), 7.8% anti canalicular antibodies, and 2.9% anti reticulin antibodies (ARA+). No patients were found to be positive for anti-brush border antibodies (ABBA) or anti-ribosomal antibodies. (ARiA). No links with IL-6 levels were apparent. Conclusions: IL-6 levels are increased in patients infected with HCV disease and could influence the production of autoantibodies. However, this study did not provide evidence of a specific relationship between IL6 and circulating autoantibodies in such cases.