Histopathology of C Cells and Medullary Thyroid Carcinoma

C cells are the neuroendocrine cell component of the thyroid gland that embryologically arise from the pharyngeal endoderm. Normal C cells are concentrated in the upper two-thirds of both lateral lobes, appear singly or in small groups dispersed in, among or peripherally to the follicles, and are involved in the production of calcitonin. Reactive C-cell hyperplasia should be differentiated from proliferation of atypical C cells (neoplastic C-cell hyperplasia) which is considered an intraepithelial neoplasia of C cells/medullary carcinoma in situ, a precursor lesion associated to familial medullary thyroid carcinoma (MTC). MTC typically exhibits a lobular and/or trabecular growth pattern with amyloid deposits; however, due to its great histological variability, immunohistochemical positivity for calcitonin, carcinoembryonic antigen, calcitonin-gene-related peptide, insulinoma-associated protein 1, and/or other markers is necessary to confirm diagnosis. Investigation of germline RET proto-oncogene mutation is mandatory to identify familial MTC. Somatic RET mutations or fusions as well as RAS mutations in cytological and/or biopsy samples may represent therapeutic targets. Mixed medullary and follicular-derived cell carcinoma is a heterogeneous group of tumors which needs to be distinguished from collision tumors.

BRG1 promotes liver cancer cell proliferation and metastasis by enhancing mitochondrial function and ATP5A1 synthesis through TOMM40

Hepatocellular carcinoma (HCC) is one of the most lethal malignant tumors worldwide. Brahma-related gene 1 (BRG1), as a catalytic ATPase, is a major regulator of gene expression and is known to mutate and overexpress in HCC. The purpose of this study was to investigate the mechanism of action of BRG1 in HCC cells. In our study, BRG1 was silenced or overexpressed in human HCC cell lines. Transwell and wound healing assays were used to analyze cell invasiveness and migration. Mitochondrial membrane potential (MMP) and mitochondrial permeability transition pore (mPTP) detection were used to evaluate mitochondrial function in HCC cells. Colony formation and cell apoptosis assays were used to evaluate the effect of BRG1/TOMM40/ATP5A1 on HCC cell proliferation and apoptosis/death. Immunocytochemistry (ICC), immunofluorescence (IF) staining and western blot analysis were used to determine the effect of BRG1 on TOMM40, ATP5A1 pathway in HCC cells. As a result, knockdown of BRG1 significantly inhibited cell proliferation and invasion, promoted apoptosis in HCC cells, whereas BRG1 overexpression reversed the above effects. Overexpression of BRG1 can up-regulate MMP level, inhibit mPTP opening and activate TOMM40, ATP5A1 expression. Our results suggest that BRG1, as an oncogene, promotes HCC progression by regulating TOMM40 affecting mitochondrial function and ATP5A1 synthesis. Targeting BRG1 may represent a new and effective way to prevent HCC development.

[Hepatocellular carcinoma (HCC)]

Primary liver cancers are tumors that develop from different liver cells. Hepatocellular carcinoma (HCC), which develops from hepatocytes, accounts for approximately 75-85% of primary liver cancers.HCC is the 6th leading cause of cancer worldwide and the 3rd leading cause of cancer-related death. Its incidence is low in northern Europe, but high in sub-Saharan Africa and the Far East, where both hepatotropic viruses and exposure to mycotoxins are. It complicates cirrhosis in over 90% of cases and is predominantly male.The prevalence of HCC is increasing due to improved diagnostic techniques and criteria, but also to the persistence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infections in adults. A worldwide increase in the incidence of steatopathy makes it the leading cause of liver disease worldwide, associated with alcohol abuse and/or steatohepatitis associated with metabolic dysfunction (MASH), including type 2 diabetes.Chronic hepatotropic viral infections, cirrhosis and chemical carcinogens combine to produce an annual incidence of 2-5% of hepatocellular carcinoma arising from cirrhosis. This justifies biannual surveillance of known cirrhosis, without which late diagnosis limits therapeutic options.Major advances have been made in curative treatment (liver transplantation, surgery, radiodestruction) and palliative treatment (chemo- or radioembolization, sorafenib chemotherapy or immunotherapy), depending on how early HCC is diagnosed (size, number of hepatic or extrahepatic lesions) and the severity of underlying liver disease and associated comorbidities.

International perspectives on LI-RADS

Given the crucial role of imaging in HCC diagnosis, LI-RADS CT/MRI was developed to standardize the imaging interpretation and reporting of HCC in patients at risk for HCC and categorize hepatic observations on an ordinal scale according to the likelihood of HCC. LI-RADS has since been expanded to include 5 algorithms: LI-RADS US Surveillance, contrast-enhanced US (CEUS) LI-RADS, LI-RADS CT/MRI, and LI-RADS Treatment Response Assessment. LI-RADS has been adopted broadly in North America, however with less ubiquitous adoption outside of North America. Further elucidation of the perceived strengths and weakness of the LI-RADS algorithm, as it pertains to various geographic regions, will continue to inform a future system that may be more readily adopted globally. Therefore, the aim of this article is to summarize HCC risk factors and imaging guidelines in select geographically disparate regions, and to solicit feedback from liver imaging experts on the limitations and barriers to adoption of LI-RADS algorithms in their patient populations.

METTL3-Mediated m6A Methylation of USP21 Contributes to Hepatocellular Carcinoma Progression by Stabilizing H2BFS Through Deubiquitination

Deubiquitinases play essential roles in hepatocellular carcinoma (HCC) progression, however, the role of ubiquitin-specific peptidase 21 (USP21) in HCC development remains unclear. The present work aims to analyze the effect of USP21 on tumor property of HCC cells and the underlying mechanism. mRNA expression levels of USP21 and H2BFS were analyzed by quantitative real-time polymerase chain reaction. Protein expression of USP21, E-cadherin, N-cadherin, Vimentin, H2BFS and methyltransferase 3 (METTL3) was assessed by western blotting assay or immunohistochemistry assay. Clonogenicity assay was used to analyze cell proliferation. Flow cytometry assay was performed to quantify apoptotic rate of cells. Wound-healing assay and transwell assay were conducted to analyze cell migration and invasion, respectively. Xenograft mouse model assay was performed to determine the effect of USP21 knockdown on tumor formation. m6A RNA immunoprecipitation assay (MeRIP) was used to analyze the effect of METTL3 silencing on methylated level of USP21. USP21 expression was upregulated in HCC tissues and cells when compared with control groups. USP21 silencing inhibited proliferation, migration and invasion and induced apoptosis of HCC cells, accompanied by the increased E-cadherin protein expression and decreased N-cadherin and Vimentin protein expression. Moreover, USP21 knockdown delayed tumor formation in vivo. USP21 stabilized H2BFS by deubiquitination, and H2BFS overexpression attenuated USP21 silencing-induced effects in HCC cells. Further, METTL3-mediated m6A methylation of USP21. METTL3-mediated m6A methylation of USP21 promoted HCC progression by stabilizing H2BFS through deubiquitination.

Chronic Hepatitis C Infection Treated with Direct-Acting Antiviral Agents and Occurrence/Recurrence of Hepatocellular Carcinoma: Does It Still Matter?

Hepatitis C virus (HCV) infection is a significant risk factor for liver cirrhosis and hepatocellular carcinoma (HCC). Traditionally, the primary prevention strategy for HCV-associated HCC has focused on removing infection through antiviral regimes. Currently, highly effective direct-acting antivirals (DAAs) offer extraordinary success across all patient categories, including cirrhotics. Despite these advancements, recent studies have reported that even after sustained virologic response (SVR), individuals with advanced liver disease/cirrhosis at the time of DAA treatment may still face risks of HCC occurrence or recurrence. Based on this premise, this review tries to shed light on the multiple mechanisms that establish a tumorigenic environment, first, during chronic HCV infection and then, after eventual viral eradication by DAAs. Furthermore, it reviews evidence reported by recent observational studies stating that the use of DAAs is not associated with an increased risk of HCC development but rather, with a significantly lower chance of liver cancer compared with DAA-untreated patients. In addition, it seeks to provide some practical guidance for clinicians, helping them to manage HCC surveillance of patients who have achieved SVR with DAAs.

HLA-G liver expression in chronically HIV/hepatitis C-coinfected individuals

INTRODUCTION AND OBJECTIVES

Hepatitis C-induced liver disease represents a significant threat to the survival of people living with HIV. HIV/HCV-coinfected individuals have a more rapid progression to cirrhosis and its complications than HCV monoinfected patients. Although the underlying mechanisms remain unclear, HLA-G, a non-classical class I HLA molecule, has a well-recognized property to down-regulate the immune response against viruses and may favor the progression of chronic hepatitis C.

MATERIALS AND METHODS

We analyzed HLA-G expression in 59 liver specimens of patients harboring chronic HCV and HIV coinfection and stratified the findings according to clinical and histopathological features.

RESULTS

Genotype 1 was the most prevalent (88%); the HLA-G expression was observed in 38 (64%) liver specimens, and it was more frequent in more severe stages than in milder stages of chronic hepatitis (94,1% x 55%; p<0.01). HLA-G expression in the liver was not correlated to antiviral response to hepatitis C therapy with pegylated-IFN-α plus ribavirin.

CONCLUSIONS

HLA-G expression in the context of HCV/HIV coinfection is a complex process modulated by many factors. HLA-G expression may play a role in the mechanisms that facilitate disease progression and may contribute to the deterioration of the immune response against HCV in individuals living with HIV.

Cost-Effectiveness of Hepatocellular Carcinoma Surveillance Strategies in Patients With Compensated Liver Cirrhosis in the United Kingdom

OBJECTIVES

This study aimed to evaluate the cost-effectiveness (CE) of 4 hepatocellular carcinoma (HCC) surveillance strategies in the United Kingdom, the GAAD algorithm, which combines Gender (biological sex) and Age with Elecsys® biomarker assays, alpha-fetoprotein (AFP) and protein induced by vitamin K absence-II (previously Des-γ-carboxy prothrombin); ultrasound (US); US + AFP and GAAD + US.

METHODS

A de novo microsimulation state-transition Markov model was developed in Microsoft Excel® from the perspective of the United Kingdom National Health Service to calculate life-years, quality-adjusted life-years (QALYs), costs, incremental CE ratios, and net monetary benefits. Parameters were sourced from peer-reviewed published literature, national guidelines, and public cost databases. Sensitivity and scenario analyses were performed to evaluate the impact of parameter and structural uncertainty on the results.

RESULTS

In a simulated cohort of 100 000 patients, discounted costs and QALYs per patient were £8663 and 6·066 for US, £9095 and 6·076 for US + AFP, £8719 and 6·078 for GAAD alone, and £9114 and 6·086 for GAAD + US. At a CE threshold of £20 000/QALY, GAAD was the most cost-effective strategy; however, although most costly, GAAD + US was the most clinically effective. Sensitivity and scenario analyses indicated that HCC incidence along with costs associated with diagnostic performance influence CE.

CONCLUSION

Considering the cost of US and low incidence of HCC in the United Kingdom, this study suggests that GAAD alone or in combination with US are cost-effective surveillance strategies compared with US and US + AFP. Although GAAD + US showed the highest QALY increase, GAAD alone is considered preferable regarding CE; however, better performance estimates for GAAD + US are needed to confirm.

The assessment of impaired liver function and prognosis in hepatocellular carcinoma

INTRODUCTION

The impairment of liver function strongly limits the therapeutic options for hepatocellular carcinoma (HCC), and the assessment of liver function is key to finding the appropriate therapy for patients suffering from this disease. Furthermore, preexisting liver dysfunction has a negative impact on the prognosis of patients in addition to the malignant potential of HCC. Hence, defining the optimal treatment of patients with HCC requires a comprehensive examination with liver function being a crucial part of it.

AREAS COVERED

This review will provide an overview of the currently existing methods for evaluating the liver function in patients with HCC. Assessment of liver function includes scoring systems but also functional and technical methods. In addition, the role of these tests in different treatment facilities such as liver resection, transplantation, interventional and systemic therapy is summarized.

EXPERT OPINION

A comprehensive pretherapeutic assessment of the liver function includes laboratory-based scoring systems, as well as imaging- and non-imaging-based functional tests. Combining diverse parameters can help to improve the safety and efficacy of HCC therapy particularly in patients with compromised liver function. Future research should focus on optimizing pretherapeutic assessment recommendations for each therapy.

Association between hepatocyte TM4SF5 expression and gut microbiome dysbiosis during non-alcoholic fatty liver disease development

Gut microbiome dysbiosis is involved in non-alcoholic fatty liver disease (NAFLD) development. Hepatic transmembrane 4 L six family member 5 (TM4SF5) overexpression promotes NAFLD. However, how gut microbiota are associated with TM4SF5-mediated NAFLD remains unexplored. We analyzed the gut microbiome using feces from hepatocyte-specific TM4SF5-overexpressing transgenic (Alb-TGTm4sf5-Flag, TG) or Tm4sf5-/- knock-out (KO) mice fed a normal chow diet (NCD), high-fat diet (HFD) for 2 weeks (HFD2W), or methionine-choline-deficient diet (MCD) for 4 weeks to investigate associations among Tm4sf5 expression, diet, and the gut microbiome. TG-NCD mice showed a higher Firmicutes-to-Bacteroidetes (F/B) ratio, with less enrichment of Akkermansia muciniphila and Lactobacillus reuteri. NASH-related microbiomes in feces were more abundant in TG-HFD2w mice than in KO-HFD2w mice. Further, TG-MCD showed a higher F/B ratio than TG-NCD or KO mice, with decreases or increases in microbiomes beneficial or detrimental to the liver, respectively. Such effects in TG-MCD animals were correlated with functional pathways producing short-chain fatty acids (SCFAs). Furthermore, potential functional pathways of the gut microbiome were metabolically parallel to NAFLD features in TG-MCD mice. These results suggest that hepatocyte Tm4sf5 supports gut microbiome dysbiosis and metabolic activity, leading to SCFA production and hepatic inflammation during NAFLD development.

Distinct alterations of gut microbiota between viral- and non-viral-related hepatocellular carcinoma

Altered gut microbiota has been connected to hepatocellular carcinoma (HCC) occurrence and advancement. This study was conducted to identify a gut microbiota signature in differentiating between viral-related HCC (Viral-HCC) and non-hepatitis B-, non-hepatitis C-related HCC (NBNC-HCC). Fecal specimens were obtained from 16 healthy controls, 33 patients with viral-HCC (17 and 16 cases with hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, respectively), and 18 patients with NBNC-HCC. Compositions of fecal microbiota were assessed by 16S rRNA sequencing. Bioinformatic analysis was performed by the DADA2 pipeline in the R program. Significantly different genera from the top 50 relative abundance were used to classify between subgroups of HCC by the Random Forest algorithm. Our data demonstrated that the HCC group had a significantly decreased alpha-diversity and changed microbial composition in comparison with healthy controls. Within the top 50 relative abundance, there were 11 genera including Faecalibacterium, Agathobacter, and Coprococcus that were significantly enhanced in Viral-HCC, while 5 genera such as Bacteroides, Streptococcus, Ruminococcus gnavus group, Parabacteroides, and Erysipelatoclostridium were enhanced in NBNC-HCC. Compared to Viral-HCC, the NBNC-HCC subgroup significantly reduced various short-chain fatty acid-producing bacteria, as well as declined fecal butyrate but elevated plasma surrogate markers of microbial translocation. Based on the machine learning algorithm, a high diagnostic accuracy to classify HCC subgroups was achieved with an area under the receiver-operating characteristic (ROC) curve (AUC) of 0.94. Collectively, these data revealed that gut dysbiosis was distinct according to etiological factors of HCC, which might play an essential role in hepatocarcinogenesis. These findings underscore the possible use of a gut microbiota signature for the diagnosis and therapeutic approaches regarding different subgroups of HCC. KEY POINTS: • Gut dysbiosis is connected to hepatocarcinogenesis and can be used as a novel biomarker. • Gut microbiota composition is significantly altered in different etiological factors of HCC. • Microbiota-based signature can accurately distinguish between Viral-HCC and NBNC-HCC.

Predicting Microvascular Invasion in Liver Transplant Recipients for Hepatocellular Carcinoma

BACKGROUND

Among primary liver tumors, hepatocellular carcinoma (HCC) is considered the most common hepatic tumor. Liver transplantation is one of the curative treatment options for HCC. However, the risk of HCC recurrence after liver transplantation varies and is influenced by various factors. Microvascular invasion (MVI) is a major factor associated with HCC recurrence after a liver transplant (LT). The study assessed the pre-transplant factors to predict MVI on explant liver specimens.

METHODS

The retrospective study included adult LT recipients with HCC on explant specimens to identify pre-transplant predictors of MVI. Univariate analyses, including Mann-Whitney U tests and chi-square tests, were conducted to assess associations between variables and MVI. Logistic regression was employed for multivariate analysis, including variables significant in univariate analysis. Pearson or Spearman correlation coefficients were calculated to examine correlations between continuous variables. Cohen's kappa coefficient was used to measure inter-rater reliability.

RESULTS

Out of 523 LT recipients, 136 (26%) were diagnosed with HCC based on pre-transplant imaging and histopathological analysis of the explanted liver. Descriptive data showed an average age of 54.06 ± 8.16 years (range: 15-70), with a majority being male (76.47%). Hepatitis C (HCV) was the leading etiology (72.8%). Most patients had moderately differentiated grade-II tumors (75.7%) and met the Milan criteria (74.3%). Mean pre-operative alpha-fetoprotein (pre-op AFP) levels were 104.42 ± 308.38 ng/ml. 74.3% were within the Milan criteria. MVI was present in 28.7%. The frequency of MVI among HCCs within vs. outside Milan criteria was not statistically significant (26.73% vs. 34.28% (p = 0.395)). Univariate analysis revealed that pre-op AFP levels (p = 0.001), Child-Turcotte Pugh class (p=0.05), and body mass index (p=0.02) were significantly associated with MVI. Multivariate logistic regression analysis showed that pre-op AFP was the only independent predictor of MVI (OR: 1.006, 95% CI: 1.003-1.008, p < 0.001).

CONCLUSION

This study not only reinforces the clinical significance of pre-op AFP levels as a simple pre-transplant predictor of MVI in patients with HCC but also advocates for the safety of liver transplantation beyond conventional Milan criteria, promoting extended LT protocols.

Changes in Vascular Endothelial Growth Factor and Development of Hepatocellular Carcinoma in Direct-Acting Antiviral Drugs (DAAs)-Treated Hepatitis C Virus (HCV) Patients

Background There is ongoing debate regarding the impact of direct-acting antiviral drugs (DAAs) on the occurrence of de novo hepatocellular carcinoma (HCC). Vascular endothelial growth factor (VEGF) plays a crucial role in the development and angiogenesis of HCC. Aim This study aims to evaluate dynamic changes in vascular endothelial growth factor (VEGF) levels at different point times during and after treatment of HCV to evaluate the risk of de novo HCC in DAAs-treated HCV patients. Methods This prospective cohort study was conducted on 60 HCV-infected patients; 30 patients had early fibrosis (F1-F2) and 30 patients had advanced fibrosis (F3-F4). HCV-RNA, aspartate aminotransferase (AST) to platelet ratio index (APRI), and fibrosis-4 index scores, liver function tests, serum VEGF, alpha-fetoprotein (AFP), and abdominal ultrasound were done at baseline, 4 weeks after starting treatment, at the end of treatment, and 12 weeks after treatment. Results VEGF was significantly decreased after completion of treatment (78.94± 10.03) compared to its baseline level (103.17 ± 33.89 pg/ml). Conclusion No de-novo hepatic focal lesion was detected during and up to 12 weeks after completion of treatment. The treatment of HCV by DAAs was associated with a significant decrease in VEGF and AFP levels and an improvement in liver enzymes and fibrosis scores.

RNA-binding protein Trx regulates alternative splicing and promotes metastasis of HCC via interacting with LINC00152

BACKGROUND

Epithelial-mesenchymal transition (EMT) is central to HCC metastasis, in which RNA-binding proteins (RBPs) play a key role.

METHODS

To explore the role of RBPs in metastasis of hepatocellular carcinoma (HCC), whole transcriptome sequencing was conducted to identify differential RBPs between HCC with metastasis and HCC without metastasis. The influence of RBPs on metastasis of HCC was verified by in vitro and in vivo experiments. The interaction of RBPs with non-coding RNAs was evaluated by RNA immunoprecipitation and pull-down assays. RNA sequencing, whole-genome sequencing, and alternative splicing analysis were further performed to clarify post-transcriptional regulation mechanisms.

RESULTS

Whole transcriptome sequencing results showed that expression of thioredoxin (Trx) was significantly upregulated in HCC patients with metastasis. Trx was also found to be associated with poor prognosis in HCC patients. Overexpression of Trx could promote migration and invasion of HCC cells in vitro and increase the rate of lung metastasis of HCC cells in vivo. Moreover, binding assays showed that Trx could bind to LINC00152. As a result, LINC00152 was verified to determine the pro-metastasis function of Trx by knockdown assay. Furthermore, we revealed that Trx could regulate metastasis-associated alternative splicing program. Specifically, angiopoietin 1 (ANGPT1) was the splicing target; the splicing isoform switching of ANGPT1 could activate the PI3K-Akt pathway, upregulate EMT-associated proteins, and promote migration and invasion of HCC cells.

CONCLUSIONS

We found that Trx could interact with LINC00152 and promote HCC metastasis via regulating alternative splicing, indicating that Trx may serve as a novel therapeutic target for HCC treatment.

Macrotrabecular-Massive Hepatocellular Carcinoma: A Case Report

Macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) is a rare and aggressive molecular subtype of hepatocellular carcinoma (HCC) associated with a poor prognosis. Unlike typical HCC, which commonly arises in the context of cirrhosis, MTM-HCC can develop in non-cirrhotic livers, presenting unique diagnostic and therapeutic challenges. This case report describes a 35-year-old male who presented with persistent epigastric pain, fatigue, and loss of appetite. Clinical examination revealed hepatomegaly, prompting advanced imaging and laboratory investigations. Imaging studies identified a large hepatic mass with portal vein thrombosis and metastatic lesions, while histopathological analysis confirmed the diagnosis of MTM-HCC. The patient initiated treatment with a combination of immune checkpoint inhibitors and anti-angiogenic agents, which represent the current standard for advanced HCC. Despite initial adherence, disease progression was observed after four cycles of therapy. The patient passed away less than two months after his last consultation. This clinical course highlights the aggressive nature of MTM-HCC and its limited responsiveness to existing therapeutic protocols. MTM-HCC is characterized by distinctive histological and molecular features that differentiate it from other HCC subtypes. These include specific genetic mutations and protein expression patterns that contribute to its aggressive behavior and poor prognosis. Advanced imaging modalities combined with histopathological analysis remain crucial for accurate diagnosis and classification. This case emphasizes the critical need for heightened clinical vigilance, particularly in younger patients with atypical presentations of liver disease. It also underscores the importance of developing more effective, tailored therapeutic strategies for MTM-HCC. Further research into its molecular characteristics and inclusion in clinical trials is essential to improving outcomes for patients with this challenging and understudied subtype of liver cancer.

An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based Disabilities

Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors globally, significantly affecting liver functions, thus necessitating the identification of biomarkers and effective therapeutics to improve HCC-based disabilities. This study aimed to identify prognostic biomarkers, signaling cascades, and candidate drugs for the treatment of HCC through integrated bioinformatics approaches such as functional enrichment analysis, survival analysis, molecular docking, and simulation. Differential expression and functional enrichment analyses revealed 176 common differentially expressed genes from two microarray datasets, GSE29721 and GSE49515, significantly involved in HCC development and progression. Topological analyses revealed 12 hub genes exhibiting elevated expression in patients with higher tumor stages and grades. Survival analyses indicated that 11 hub genes (CCNB1, AURKA, RACGAP1, CEP55, SMC4, RRM2, PRC1, CKAP2, SMC2, UHRF1, and FANCI) and three transcription factors (E2F1, CREB1, and NFYA) are strongly linked to poor patient survival. Finally, molecular docking and simulation identified seven candidate drugs with stable complexes to their target proteins: tozasertib (-9.8 kcal/mol), tamatinib (-9.6 kcal/mol), ilorasertib (-9.5 kcal/mol), hesperidin (-9.5 kcal/mol), PF-562271 (-9.3 kcal/mol), coumestrol (-8.4 kcal/mol), and clofarabine (-7.7 kcal/mol). These findings suggest that the identified hub genes and TFs could serve as valuable prognostic biomarkers and therapeutic targets for HCC-based disabilities.

Prospective appraisal of clinical diagnostic algorithms for hepatocellular carcinoma surveillance in Chinese patients with chronic hepatitis B infection

Hepatocellular carcinoma (HCC) is often detected at advanced stages among patients with hepatitis B virus (HBV), underscoring the urgency for more precise surveillance tests. Here, we compare the clinical performance of the novel - GAAD (gender [biological sex], age, alpha-fetoprotein [AFP], protein-induced by vitamin K absence-II [PIVKA-II]) and GALAD (gender [biological sex], age, AFP, Lens-culinaris AFP [AFP-L3]), PIVKA-II) algorithms to assess the utility of AFP-L3 for distinguishing HCC from benign chronic liver disease (CLD) in Chinese patients with predominantly chronic HBV infection. Eligible adults were enrolled, and biomarkers were measured using Elecsys (Cobas) or µTASWAKO assays. In total, 411 participants provided serum samples (HCC, n = 176 [early-stage, n = 110]; CLD, n = 136; specificity n = 101). HBV was the underlying disease etiology for most participants (HCC, 95%; benign CLD, 72%). For GAAD (Cobas), GALAD (Cobas), and GALAD (µTASWAKO), AUCs were 93.1% (95% CI: 90.0-96.2), 93.2% (90.0-96.3), and 92.7% (88.4-96.9) for early-stage, and 95.6% (93.6-97.6), 95.6% (93.6-97.7), and 95.8% (93.2-98.3) for all-stage HCC, versus CLD, respectively. Interestingly, both GAAD and GALAD algorithms demonstrated comparable diagnostic performance regardless of disease etiology (HBV vs. non-HBV), presence of cirrhosis, geographic region, and within pan-tumor specificity panels (p < 0.001), indicating AFP-L3 may have a negligible role in HCC surveillance.

Sequential Use of Sorafenib and Regorafenib in Hepatocellular Cancer Recurrence After Liver Transplantation: Treatment Strategies and Outcomes

BACKGROUND AND AIMS

During liver transplantation, hepatocellular carcinoma (HCC) recurrence remains a critical challenge for patient survival. Targeted therapies, such as sorafenib and regorafenib, have been utilized to manage relapsed HCC in this unique setting. This study aimed to assess the efficacy of Sorafenib and Regorafenib in patients with HCC who experienced recurrence after liver transplantation. We focused on survival outcomes, treatment responses, and the management of side effects in this patient group.

METHODS

We conducted a retrospective analysis of 73 patients who experienced HCC recurrence post-liver transplantation between 2012 and 2022 across 11 oncology centers in Turkey. Patients were categorized according to Child-Pugh classification and treated with sorafenib as first-line therapy and Regorafenib in case of progression. Survival rates were analyzed using the Kaplan-Meier method, and risk factors were evaluated using Cox regression analysis.

RESULTS

Of the 73 patients included in the study, 62 were male (84.9%), and 11 were female (15.1%), with a mean age of 61.5 ± 10.9 years. All patients received sorafenib as first-line treatment. Among patients who experienced progression with sorafenib or discontinued treatment due to toxicity, 45.2% (n = 33) continued treatment with regorafenib. The median progression-free survival (PFS1) time with sorafenib was 5.6 months, and the one-year survival rate was 24.3%. The median progression-free survival (PFS2) time with regorafenib, which was administered as second-line treatment, was also calculated as 5.9 months. Overall survival (OS) duration was determined as 35.9 months. The most common side effects associated with both drugs included fatigue, hand and foot syndrome, and hypertension. Significantly better survival outcomes were shown in the Child-Pugh A group compared to other patients.

CONCLUSIONS

These results suggest that Sorafenib and Regorafenib treatments offer a survival advantage in patients with relapsed HCC post-transplantation. However, individualized treatment strategies and close follow-up are crucial for optimizing outcomes. Further studies are needed to refine therapeutic protocols and enhance the care of this specific patient group.

Uncovering gene expression signatures and diagnostic - Biomarkers in hepatocellular carcinoma through multinomial logistic regression analysis

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death worldwide, and classifying the developmental stages of HCC can help with early prognosis and treatment. This study aimed to investigate diagnostic and prognostic molecular signatures underlying the progression of HCC, including tumor initiation and growth, and to classify its developmental stages based on gene expression levels. We integrated data from two cancer systems, including 78 patients with Edmondson-Steiner (ES) grade and 417 patients with TNM stage cancer. Functional profiling was performed using identified signatures. Using a multinomial logistic regression model (MLR), we classified controls, early-stage HCC, and advanced-stage HCC. The model was validated in three independent cohorts comprising 45 patients (neoplastic stage), 394 patients (ES grade), and 466 patients (TNM stage). Multivariate Cox regression was employed for HCC prognosis prediction. We identified 35 genes with gradual upregulation or downregulation in both ES grade and TNM stage patients during HCC progression. These genes are involved in cell division, chromosome segregation, and mitotic cytokinesis, promoting tumor cell proliferation through the mitotic cell cycle. The MLR model accurately differentiated controls, early-stage HCC, and advanced-stage HCC across multiple cancer systems, which was further validated in various independent cohorts. Survival analysis revealed a subset of five genes from TNM stage (HR: 3.27, p < 0.0001) and three genes from ES grade (HR: 7.56, p < 0.0001) that showed significant association with HCC prognosis. The identified molecular signature not only initiates tumorigenesis but also promotes HCC development. It has the potential to improve clinical diagnosis, prognosis, and therapeutic interventions for HCC. This study enhances our understanding of HCC progression and provides valuable insights for precision medicine approaches.

Elimination of HCV Infection: Recent Epidemiological Findings, Barriers, and Strategies for the Coming Years

Hepatitis C is a disease for which in approximately 30 years we have gone from the discovery of the causative agent in 1989, to the introduction of direct-acting antiviral (DAAs) therapies starting from 2011, and to a proposal for its elimination in 2016, with some countries being on track for this goal. Elimination efforts, in the absence of a vaccine, rely on prevention measures and antiviral therapies. However, treatment rates have declined in recent years and are not considered adequate to achieve this goal at a global level. This poses a great epidemiological challenge, as HCV in many countries still causes a significant burden and most infected people are not yet diagnosed. Consequently, efforts are needed at different levels with common purposes: to facilitate access to screening and diagnosis and to improve linkage to care pathways. In this review, we discuss the latest epidemiological findings on HCV infection, the obstacles to its elimination, and strategies that are believed to be useful to overcome these obstacles but are applied unevenly across the world.

Response to Bridging Therapy as a Prognostic Indicator of Post-Transplantation Hepatocellular Carcinoma Recurrence and Survival: A Systematic Review

Liver transplantation (LT) is one of the most effective treatments for hepatocellular carcinoma (HCC) in cirrhotic livers. Neoadjuvant bridging treatment in patients qualifying and listed for LT is advised but is still debatable owing to the low level of evidence. The aim of this study was to perform a systematic review to assess the prognostic value of bridging therapy, in terms of radiological and histopathological examination outcomes, for survival after LT. The systematic review was performed according to the PRISMA 2020 guidelines. The MEDLINE and Web of Science databases were searched. In total, five studies were included. An evaluation with the ROBINS-I resulted in studies classified as the following: moderate risk of bias (n = 1) and serious risk of bias (n = 4). The results of the analysis indicated that favorable LT outcomes were most common with complete response or partial radiological response. Poor radiological response or progressive disease during bridging treatment was generally associated with worse overall LT survival. There were not enough data to support the use of this approach to achieve a complete pathologic response. Radiological, pathological, histological, cellular, and molecular tumor features should be included in future LT qualification models.

Towards precision medicine: design considerations for nanozymes in tumor treatment

Since the discovery of Fe3O4 nanoparticles with enzyme-like activity in 2007, nanozymes have emerged as a promising class of catalysts, offering advantages such as high catalytic efficiency, low cost, mild reaction conditions, and excellent stability. These properties make nanozymes highly suitable for large-scale production. In recent years, the convergence of nanomedicine and nanocatalysis has highlighted the potential of nanozymes in diagnostic and therapeutic applications, particularly in tumor therapy. Despite these advancements, the clinical translation of nanozymes remains hindered by the lack of designs tailored to specific tumor characteristics, limiting their effectiveness in targeted therapy. This review addresses the mechanisms by which nanozymes induce cell death in various tumor types and emphasizes the key design considerations needed to enhance their therapeutic potential. By identifying the challenges and opportunities in the field, this study aims to provide a foundation for future nanozyme development, ultimately contributing to more precise and effective cancer treatments.

Liver Transplant Beyond the Milan Criteria: Distant Metastases of Hepatocellular Carcinoma (Part II)

Liver transplant is one of the most effective ways to treat hepatocellular carcinoma (HCC). Thanks to the implementation of the Milan criteria, developed almost 30 years ago, 5-year survival rates for patients who underwent a transplant for HCC increased and reached the rates for patients with nontumor indications. Despite the emergence of alternative stratification systems, extrahepatic metastases remain a key contraindication to a liver transplant. Nevertheless, there have been reported cases of liver transplants in spite of the contraindication not only in times of diagnostic limitations but also in the 21st century.

We have previously reported our own case of a patient who underwent a liver transplant in spite of pulmonary lesions, which postoperatively were found to be HCC metastases. In this part of the review, we discuss similar cases from the literature.

If metastatic lesions are successfully treated, a related donor is available, and other modalities are seen as less preferable in terms of the disease prognosis, a liver transplant may be considered an appropriate way to prolong the patient’s life, although such approach should not be recommended for widespread use.

Alpha-fetoprotein, glypican-3, and kininogen-1 as biomarkers for the diagnosis of hepatocellular carcinoma

The hepatocarcinoma (HCC) is the most important liver tumor. It represents 90% of liver cancer cases. One of the main problems is the limited prompt cancer diagnosis and the advanced stages where the chances of treatment are limited. The main diagnostic methods for HCC are imaging techniques and liver biopsy. With advances in technology, proteins as significant diagnostic biomarkers have increased. The objective of this review is to describe the role of Alpha-fetoprotein (AFP), Glipican 3 (GPC-3), and Kininogen 1 (KNG-1) as biomarkers for the diagnosis of hepatocellular carcinoma. A systematic search of studies was carried out in the literature and the diagnostic values of these proteins were compared. The results showed that the combined use of biomarkers increases the diagnostic capacity for the detection of hepatocellular carcinoma.

Primary healthcare as a strategy for eliminating hepatitis C: the METRIC toolkit

AIM

This paper presents the development of the METRIC toolkit, aimed at enhancing primary healthcare interventions in the context of hepatitis C control, thus contributing to the World Health Organization's global strategy to achieve the elimination of the disease by 2030.

BACKGROUND

At the global level, most people living with hepatitis C are unaware of their condition. As such, the eradication of hepatitis C necessitates comprehensive strategies within primary healthcare settings, as it provides an opportunity to reach the general population, facilitates the identification of potential patients who may be unfamiliar with hepatitis C, and guides them toward adequate care. Herein, we propose the METRIC toolkit as a means to optimize the efficiency and efficacy of healthcare services dedicated to hepatitis C control.

METHODS

The development of the METRIC toolkit was guided by a thorough review of pertinent literature, focusing on primary healthcare interventions in hepatitis C control. Key components were identified, encompassing systematic problem identification, solution formulation, outcome evaluation, and feedback integration.

FINDINGS

The METRIC toolkit represents a valuable resource for strengthening primary healthcare interventions in hepatitis C control. By fostering a culture of continuous improvement and data-driven decision-making, this framework holds promise in advancing the global agenda towards hepatitis C elimination. However, its successful application requires careful consideration of contextual factors and ongoing adaptation to local needs and circumstances.

Insights of gut-liver axis in hepatic diseases: Mechanisms, clinical implications, and therapeutic potentials

With the rising prevalence of chronic liver diseases worldwide, there exists a need to diversify our artillery to incorporate a plethora of diagnostic and therapeutic methods to combat this disease. Currently, the most common causes of liver disease are non-alcoholic fatty liver disease, hepatitis, and alcoholic liver disease. Some of these chronic diseases have the potential to transform into hepatocellular carcinoma with advancing fibrosis. In this review, we analyse the relationship between the gut and liver and their significance in liver disease. This two-way relationship has interesting effects on each other in liver diseases. The gut microbiota, through its metabolites, influences the metabolism in numerous ways. Careful manipulation of its composition can lead to the discovery of numerous therapeutic potentials that can be applied in the treatment of various liver diseases. Numerous cohort studies with a pan-omics approach are required to understand the association between the gut microbiome and hepatic disease progression through which we can identify effective ways to deal with this issue.

Diagnostic value of serum STIP1 in HCC and AFP-negative HCC

OBJECTIVE

This study aimed to investigate the diagnostic value of stress-induced phosphoprotein 1 (STIP1) in serum for hepatocellular carcinoma (HCC) and alpha-fetoprotein (AFP)-negative HCC (ANHC).

METHODS

In this study, serum samples were collected from 158 HCC patients and 63 non-HCC patients. Logistic regression analysis was performed to identify independent risk factors associated with HCC and ANHC. The diagnostic values of each index for HCC and ANHC were analyzed using receiver operating characteristic (ROC) curve analysis.

RESULTS

The STIP1, des-γ-carboxy prothrombin (DCP), and AFP levels were higher in the HCC groups than in the non-HCC groups (P < .05). Age, DCP, STIP1, and hepatitis B virus infection were independent predictors of HCC (P < .05). The diagnostic value of STIP1 for HCC was higher than that of DCP. Additionally, age, STIP1, and hepatitis B virus infection were independent predictors for ANHC patients. The ROC curve exhibited an area under the curve value of 0.919 for STIP1, with a diagnostic cutoff value of 68.5 U/mL. Moreover, 36 ANHC patients and 19 AFP-negative non-HCC patients were included to validate the diagnostic model. A total of 20 patients had STIP1 levels greater than 68.5 U/mL, resulting in diagnostic accuracy of 67.3%, sensitivity of 55.6%, and specificity of 89.5%.

CONCLUSION

STIP1 demonstrates excellent diagnostic value for HCC and ANHC.

Comprehensive review and updated analysis of DNA methylation in hepatocellular carcinoma: From basic research to clinical application

Hepatocellular carcinoma (HCC) is a primary malignant tumour, ranking second in global mortality rates and posing significant health threats. Epigenetic alterations, particularly DNA methylation, have emerged as pivotal factors associated with HCC diagnosis, therapy, prognosis and malignant progression. However, a comprehensive analysis of the DNA methylation mechanism driving HCC progression and its potential as a therapeutic biomarker remains lacking. This review attempts to comprehensively summarise various aspects of DNA methylation, such as its mechanism, detection methods and biomarkers aiding in HCC diagnosis, treatment and prognostic assessment of HCC. It also explores the role of DNA methylation in regulating HCC's malignant progression and sorafenib resistance, alongside elaborating the therapeutic effects of DNA methyltransferase inhibitors on HCC. A detailed examination of these aspects underscores the significant research on DNA methylation in tumour cells to elucidate malignant progression mechanisms, identify diagnostic markers and develop new tumour-specific inhibitors for HCC. KEY POINTS: A comprehensive summary of various aspects of DNA methylation, such as its mechanism, detection methods and biomarkers aiding in diagnosis and treatment. The role of DNA methylation in regulating hepatocellular carcinoma's (HCC) malignant progression and sorafenib resistance, alongside elaborating therapeutic effects of DNA methyltransferase inhibitors. Deep research on DNA methylation is critical for discovering novel tumour-specific inhibitors for HCC.

Predicting long-term survival among patients with HCC

BACKGROUND

Prognosticating survival among patients with HCC and cirrhosis must account for both the tumor burden/stage, as well as the severity of the underlying liver disease. Although there are many staging systems used to guide therapy, they have not been widely adopted to predict patient-level survival after the diagnosis of HCC. We sought to develop a score to predict long-term survival among patients with early- to intermediate-stage HCC using purely objective criteria.

METHODS

Retrospective cohort study among patients with HCC confined to the liver, without major medical comorbidities within the Veterans Health Administration from 2014 to 2023. Tumor data were manually abstracted and combined with clinical and laboratory data to predict 5-year survival from HCC diagnosis using accelerated failure time models. The data were randomly split using a 75:25 ratio for training and validation. Model discrimination and calibration were assessed and compared to other HCC staging systems.

RESULTS

The cohort included 1325 patients with confirmed HCC. A risk score using baseline clinical, laboratory, and HCC-related survival had excellent discrimination (integrated AUC: 0.71 in the validation set) and calibration (based on calibration plots and Brier scores). Models had superior performance to the BCLC and ALBI scores and similar performance to the combined BCLC-ALBI score.

CONCLUSIONS

We developed a risk score using purely objective data to accurately predict long-term survival for patients with HCC. This score, if validated, can be used to prognosticate survival for patients with HCC, and, in the setting of liver transplantation, can be incorporated to consider the net survival benefit of liver transplantation versus other curative options.

Synthesis and preclinical evaluation of [18F]AlF-NODA-MP-C6-CTHRSSVVC as a PET tracer for CD163-positive tumor-infiltrating macrophages

Positron emission tomography (PET) can provide information about tumor-associated macrophage (TAM) infiltration, as long as a suitable tracer is available. This study aimed to evaluate the radiolabeled peptide [18F]AlF-NODA-MP-C6-CTHRSSVVC as a potential PET tracer for imaging of the CD163 receptor, which is expressed on M2-type tumor-associated macrophages. The conjugated peptide NODA-MP-C6-CTHRSSVVC was labeled with aluminum [18F]fluoride. Tracer binding and its biodistribution were evaluated in an in vitro binding assay and in healthy BALB/c mice, respectively. In addition, different treatments with cyclophosphamide in tumor-bearing mice were used to assess whether the tracer could detect differences in CD163 expression caused by differential TAM infiltration. After 7 days of treatment, animals were injected with [18F]AlF-NODA-MP-C6-CTHRSSVVC, and a 60-min dynamic PET scan was performed, followed by an ex vivo biodistribution study. [18F]AlF-NODA-MP-C6-CTHRSSVVC was prepared in 23 ± 6 % radiochemical yield and showed approximately 50 % of specific receptor-mediated binding in an in vitro binding assay on human CD163-expressing tissue homogenates. No CD163-mediated binding of [18F]AlF-NODA-MP-C6-CTHRSSVVC was detected by PET under normal physiological conditions in healthy BALB/c mice. On the other hand, CD163-positive xenograft tumors were clearly visualized with PET and a positive correlation was found between CD163 levels and the [18F]AlF-NODA-MP-C6-CTHRSSVVC tumor-to-muscle ratio (TMR) obtained from the PET images (Pearson r = 0.76, p = 0.002). No significant differences in the CD163 protein level and in the tracer uptake between treatment groups were found in the tumors. Taken together, [18F]AlF-NODA-MP-C6-CTHRSSVVC appears a promising candidate PET tracer for M2-type TAM, as it binds specifically to CD163 in vitro and its tumor uptake correlates well with CD163 expression in vivo.

Understanding gut dysbiosis for hepatocellular carcinoma diagnosis and treatment

The gut microbiome can play a crucial role in hepatocellular carcinoma (HCC) progression through the enterohepatic circulation, primarily acting via metabolic reprogramming and alterations in the hepatic immune microenvironment triggered by microbe-associated molecular patterns (MAMPs), metabolites, and fungi. In addition, the gut microbiome shows potential as a biomarker for early HCC diagnosis and for assessing the efficacy of immunotherapy in unresectable HCC. This review examines how gut microbiota dysbiosis, with varied functional profiles, contributes to HCCs of different etiologies. We discuss therapeutic strategies to modulate the gut microbiome including diets, antibiotics, probiotics, fecal microbiota transplantation, and nano-delivery systems, and underscore their potential as an adjunctive treatment modality for HCC.

Recurrence risk prediction models for hepatocellular carcinoma after liver transplantation

Liver transplantation (LT) is an effective method for curing hepatocellular carcinoma (HCC). However postoperative tumor recurrence can lead to higher mortality rates. To select suitable candidates for LT, the Milan Criteria (MC) were first proposed based on tumor morphological characteristics. For those patients who meet the MC, the MC can effectively reduce the postoperative tumor recurrence rate and improve the prognosis of patients undergoing LT. It has always been internationally recognized as the gold standard for selecting candidates for LT, marking a milestone in the history of LT for HCC. However, its strict conditions exclude some HCC patients who could benefit from LT. Therefore, comprehension consideration criteria, including serum biomarkers, tumor histology, and other factor, have been continuously proposed in addition to tumor morphology. This article summaries the prediction model for HCC recurrence after LT from five aspects: tumor morphology, serum markers, histopathology, cellular inflammatory factors and downstaging treatment before transplantation. The aim is to assist clinicians in accurately assessing HCC status, selecting appropriate liver transplant candidates, maximize graft and patients' survival, and optimizing the utilization of social health resources.

The role of the gut microbiome in the development of hepatobiliary cancers

Hepatobiliary cancers, including hepatocellular carcinoma and cancers of the biliary tract, share high mortality and rising incidence rates. They may also share several risk factors related to unhealthy western-type dietary and lifestyle patterns as well as increasing body weights and rates of obesity. Recent data also suggest a role for the gut microbiome in the development of hepatobiliary cancer and other liver pathologies. The gut microbiome and the liver interact bidirectionally through the "gut-liver axis," which describes the interactive relationship between the gut, its microbiota, and the liver. Here, we review the gut-liver interactions within the context of hepatobiliary carcinogenesis by outlining the experimental and observational evidence for the roles of gut microbiome dysbiosis, reduced gut barrier function, and exposure to inflammatory compounds as well as metabolic dysfunction as contributors to hepatobiliary cancer development. We also outline the latest findings regarding the impact of dietary and lifestyle factors on liver pathologies as mediated by the gut microbiome. Finally, we highlight some emerging gut microbiome editing techniques currently being investigated in the context of hepatobiliary diseases. Although much work remains to be done in determining the relationships between the gut microbiome and hepatobiliary cancers, emerging mechanistic insights are informing treatments, such as potential microbiota manipulation strategies and guiding public health advice on dietary/lifestyle patterns for the prevention of these lethal tumors.

Sini decoction-polysaccharide compound regulates proliferation, apoptosis, and glycolysis of liver cancer cells through PHLDA2/ANXA2

Background

Sini decoction (SND), a popular formula from traditional Chinese medicine (TCM), plays a critical role in the treatment of liver disease. Its protective effect for the heart against cardiovascular diseases is well documented. However, its effects and pharmacological mechanisms for the liver remain unclear. This study aimed to clarify the effect and mechanism of the SND-polysaccharide compound (SNDPC) on hepatocellular carcinoma (HCC).

Methods

Different genes affected by SNDPC in HCC were analyzed via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Databases including Multi-Experiment Matrix (MEM), HCCDB, LinkedOmics, and Gene Expression Profiling Interactive Analysis (GEPIA) were used to determine the correlation between PHLDA2 and ANXA2. Cell proliferation and viability were identified using Cell Counting Kit-8 (CCK-8). Cell apoptosis was estimated using terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay and Western blotting. Glycolysis was determined by measuring glucose uptake, lactate concentration, extracellular acidification rate (ECAR), and the expressions of LHDA, HK2, and PKM2. The binding between PHLDA2 and ANXA2 was identified by coimmunoprecipitation.

Results

SNDPC significantly weakened cell proliferation, facilitated cell apoptosis, and suppressed glycolysis by reducing glucose uptake, lactate concentration, ECAR, and the expressions of LDHA, HK2, and PKM2 in HCC cells. Furthermore, PHLDA2 was predicted to bind to ANXA2, which was confirmed by coimmunoprecipitation. SNDPC reduced the expressions of PHLDA2 and ANXA2 in HCCLM3 cells, and PHLDA2 silencing decreased the proliferation of cells, promoted cell apoptosis, and inhibited glycolysis of HCCLM3 cells while reversing the overexpression of PHLDA2.

Conclusions

SNDPC suppressed proliferation and glycolysis while accelerating the apoptosis of HCC cells through PHLDA2/ANXA2.

Prediction of microvascular invasion in hepatocellular carcinoma with conventional ultrasound, Sonazoid-enhanced ultrasound, and biochemical indicator: a multicenter study

PURPOSE

To develop and validate a preoperative prediction model based on multimodal ultrasound and biochemical indicator for identifying microvascular invasion (MVI) in patients with a single hepatocellular carcinoma (HCC) ≤ 5 cm.

METHODS

From May 2022 to November 2023, a total of 318 patients with pathologically confirmed single HCC ≤ 5 cm from three institutions were enrolled. All of them underwent preoperative biochemical, conventional ultrasound (US), and contrast-enhanced ultrasound (CEUS) (Sonazoid, 0.6 mL, bolus injection) examinations. Univariate and multivariate logistic regression analyses on clinical information, biochemical indicator, and US imaging features were performed in the training set to seek independent predictors for MVI-positive. The models were constructed and evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis in both validation and test sets. Subgroup analyses in patients with different liver background and tumor sizes were conducted to further investigate the model's performance.

RESULTS

Logistic regression analyses showed that obscure tumor boundary in B-mode US, intra-tumoral artery in pulsed-wave Doppler US, complete Kupffer-phase agent clearance in Sonazoid-CEUS, and biomedical indicator PIVKA-II were independently correlated with MVI-positive. The combined model comprising all predictors showed the highest AUC, which were 0.937 and 0.893 in the validation and test sets. Good calibration and prominent net benefit were achieved in both sets. No significant difference was found in subgroup analyses.

CONCLUSIONS

The combination of biochemical indicator, conventional US, and Sonazoid-CEUS features could help preoperative MVI prediction in patients with a single HCC ≤ 5 cm.

CRITICAL RELEVANCE STATEMENT

Investigation of imaging features in conventional US, Sonazoid-CEUS, and biochemical indicators showed a significant relation with MVI-positivity in patients with a single HCC ≤ 5 cm, allowing the construction of a model for preoperative prediction of MVI status to help treatment decision making.

KEY POINTS

MVI status is important for patients with a single HCC ≤ 5 cm. The model based on conventional US, Sonazoid-CEUS and PIVKA-II performs best for MVI prediction. The combined model has potential for preoperative prediction of MVI status.

The complex role of immune cells in antigen presentation and regulation of T-cell responses in hepatocellular carcinoma: progress, challenges, and future directions

Hepatocellular carcinoma (HCC) is a prevalent form of liver cancer that poses significant challenges regarding morbidity and mortality rates. In the context of HCC, immune cells play a vital role, especially concerning the presentation of antigens. This review explores the intricate interactions among immune cells within HCC, focusing on their functions in antigen presentation and the modulation of T-cell responses. We begin by summarizing the strategies that HCC uses to escape immune recognition, emphasizing the delicate equilibrium between immune surveillance and evasion. Next, we investigate the specific functions of various types of immune cells, including dendritic cells, natural killer (NK) cells, and CD8+ T cells, in the process of antigen presentation. We also examine the impact of immune checkpoints, such as cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and the pathways involving programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1), on antigen presentation, while taking into account the clinical significance of checkpoint inhibitors. The review further emphasizes the importance of immune-based therapies, including cancer vaccines and CAR-T cell therapy, in improving antigen presentation. In conclusion, we encapsulate the latest advancements in research, propose future avenues for exploration, and stress the importance of innovative technologies and customized treatment strategies. By thoroughly analyzing the interactions of immune cells throughout the antigen presentation process in HCC, this review provides an up-to-date perspective on the field, setting the stage for new therapeutic approaches.

Screening and application of aptamers as fluorescent biosensors for selective and sensitive detection of hepatocellular carcinoma and in vivo targeted delivery studies

The incidence of primary hepatocellular carcinoma (HCC) has recently ranked fifth in the world, and the incidence rate is increasing year by year worldwide. Therefore, early diagnosis is the highest priority in the treatment of HCC. In this paper, four anti-HCC aptamers were obtained using magnetic bead SELEX technology. Among them, Apt-1 had the smallest Kd value(5.9 nM) and the highest affinity. Flow cytometry results showed that the FITC-aptamers only specifically recognized HCC serum. Circular dichronism (CD) spectral characterization showed a positive peak near 275 nm and a negative peak near 250 nm for all aptamers, elucidating that the secondary structure formed by the candidate aptamers was a stem-loop B-DNA structure. In addition, molecular docking simulations showed that the binding of the HCC target to the candidate aptamer sequences was mainly dominated by hydrogen bonding. The results of the aptamer sensing performance analysis showed that under the optimized assay conditions, a linear relationship (ranging from 1 nM to 1 µM) was achieved, with a limit of detection (LOD) down to 0.75 nM and a LOQ of 2.32 nM. This was further validated in clinical samples, with a positive detection rate of more than 90%. Furthermore, aptamer-mediated in vivo delivery of luciferase mRNA showed that Apt-1-luciferase mRNA could be targeted to the liver and hepatic luciferase expression was significantly increased. These results demonstrate that the aptamer paves the way for clinical application, evidencing  significant potential to offer reference information for early diagnosis.

Chinese Expert Consensus on the Whole-Course Management of Hepatocellular Carcinoma (2023 Edition)

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in China. Most HCC patients have the complications of chronic liver disease and need overall consideration and whole-course management, including diagnosis, treatment, and follow-up. To develop a reasonable, long-term, and complete management plan, multiple factors need to be considered, including the patient’s general condition, basic liver diseases, tumor stage, tumor biological characteristics, treatment requirements, and economic cost. Summary: To better guide the whole-course management of HCC patients, the Chinese Association of Liver Cancer and the Chinese Medical Doctor Association has gathered multidisciplinary experts and scholars in relevant fields to formulate the “Chinese Expert Consensus on The Whole-Course Management of Hepatocellular Carcinoma (2023).” Key Messages: This expert consensus, based on the current clinical evidence and experience, proposes surgical and nonsurgical HCC management pathways and involves 18 recommendations, including perioperative treatment, systematic treatment combined with local treatment, conversion treatment, special population management, symptomatic support treatment, and follow-up management.

The role of exosomes in liver cancer: comprehensive insights from biological function to therapeutic applications

In recent years, cancer, especially primary liver cancer (including hepatocellular carcinoma and intrahepatic cholangiocarcinoma), has posed a serious threat to human health. In the field of liver cancer, exosomes play an important role in liver cancer initiation, metastasis and interaction with the tumor microenvironment. Exosomes are a class of nanoscale extracellular vesicles (EVs)secreted by most cells and rich in bioactive molecules, including RNA, proteins and lipids, that mediate intercellular communication during physiological and pathological processes. This review reviews the multiple roles of exosomes in liver cancer, including the initiation, progression, and metastasis of liver cancer, as well as their effects on angiogenesis, epithelial-mesenchymal transformation (EMT), immune evasion, and drug resistance. Exosomes have great potential as biomarkers for liver cancer diagnosis and prognosis because they carry specific molecular markers that facilitate early detection and evaluation of treatment outcomes. In addition, exosomes, as a new type of drug delivery vector, have unique advantages in the targeted therapy of liver cancer and provide a new strategy for the treatment of liver cancer. The challenges and prospects of exosome-based immunotherapy in the treatment of liver cancer were also discussed. However, challenges such as the standardization of isolation techniques and the scalability of therapeutic applications remain significant hurdles.

Integrating molecular, biochemical, and immunohistochemical features as predictors of hepatocellular carcinoma drug response using machine-learning algorithms

Introduction

Liver cancer, particularly Hepatocellular carcinoma (HCC), remains a significant global health concern due to its high prevalence and heterogeneous nature. Despite the existence of approved drugs for HCC treatment, the scarcity of predictive biomarkers limits their effective utilization. Integrating diverse data types to revolutionize drug response prediction, ultimately enabling personalized HCC management.

Method

In this study, we developed multiple supervised machine learning models to predict treatment response. These models utilized classifiers such as logistic regression (LR), k-nearest neighbors (kNN), neural networks (NN), support vector machines (SVM), and random forests (RF) using a comprehensive set of molecular, biochemical, and immunohistochemical features as targets of three drugs: Pantoprazole, Cyanidin 3-glycoside (Cyan), and Hesperidin. A set of performance metrics for the complete and reduced models were reported including accuracy, precision, recall (sensitivity), specificity, and the Matthews Correlation Coefficient (MCC).

Results and Discussion

Notably, (NN) achieved the best prediction accuracy where the combined model using molecular and biochemical features exhibited exceptional predictive power, achieving solid accuracy of 0.9693 ∓ 0.0105 and average area under the ROC curve (AUC) of 0.94 ∓ 0.06 coming from three cross-validation iterations. Also, found seven molecular features, seven biochemical features, and one immunohistochemistry feature as promising biomarkers of treatment response. This comprehensive method has the potential to significantly advance personalized HCC therapy by allowing for more precise drug response estimation and assisting in the identification of effective treatment strategies.

Mass spectrometry-based multi-omics analysis reveals distinct molecular features in early and advanced stages of hepatocellular carcinoma

Hepatocellular Carcinoma (HCC) is a serious primary solid tumor that is prevalent worldwide. Due to its high mortality rate, it is crucial to explore both early diagnosis and advanced treatment for HCC. In recent years, multi-omics approaches have emerged as promising tools to identify biomarkers and investigate molecular mechanisms of biological processes and diseases. In this study, we performed proteomics, phosphoproteomics, metabolomics, and lipidomics to reveal the molecular features of early- and advanced-stage HCC. The data obtained from these omics were analyzed separately and then integrated to provide a comprehensive understanding of the disease. The multi-omics results unveiled intricate biological pathways and interaction networks underlying the initiation and progression of HCC. Moreover, we proposed specific potential biomarker panels for both early- and advanced-stage HCC by overlapping our data with CPTAC database for HCC diagnosis, and deduced novel insights and mechanisms related to HCC origination and development, such as glucose depletion during tumor progression, ROCK1 deactivation and GSK3A activation.

Survival and cardiovascular disease mortality among primary liver cancer patients: A population-based study

Background

The prognosis of primary liver cancer (PLC) was influenced by death due to non-cancer causes, particularly death related to cardiovascular disease (CVD). This study aimed to analyze mortality of non-cancer causes and identify the independent risk factors associated with CVD-related deaths in PLC patients.

Methods

In total, 112140 patients were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2019). Independent risk factors for death from CVD in patients with PLC were identified by Cox proportional hazards model.

Results

The median follow-up time of all PLC patients was 76 months (interquartile range (IQR): 36-129). The median overall survival (OS) was 12 months (IQR: 3-40). Patients with intrahepatic cholangiocarcinoma (ICC) had shorter OS than patients with hepatocellular carcinoma (HCC) (8 vs. 14 months; P < 0.001). A total of 87299 deaths were observed, among which 61477 (70.42 % of all deaths) were from PLC, and 12727 (14.58 % of all deaths) were from other cancers. Of all non-cancer deaths (9276, 10.63 %), 2860(30.86 %) were results of CVD. PLC patients had higher risks on CVD-related deaths, compared with general population (standard mortality ratio, SMR, 2.20; 95 % confidence interval, CI, 2.12-2.28). Typically, the highest SMRs appeared in the first year following cancer diagnosis. The multivariable analysis revealed the characteristics listed as followed to be independently risk factors of CVD: age, male (hazard ratio, HR: 1.248, 95%CI: 1.147-1.359), black race (HR: 1.334, 95%CI: 1.195-1.490), year 2016-2019 of diagnosis (HR 0.758, 95%CI: 0.671-0.856), ICC (HR: 1.202, 95%CI: 1.086-1.330), without surgery (HR: 2.479, 95%CI: 2.266-2.711) and without chemotherapy (HR: 2.211, 95%CI: 2.033-2.403).

Conclusion

It is essential to take cardiovascular health into consideration at the time of diagnosis for PLC patients as the risk of CVD mortality is significantly higher than that of general population.

Liver transplantation for hepatocellular carcinoma: a proposal for including preoperative serological indicators improves the Milan criteria expanded

Background

Liver transplantation (LT) is the most effective and radical treatment for hepatocellular carcinoma (HCC). Most LT criteria are based on the morphological characteristics of tumors, which are not enough to predict the risk of tumor recurrence. It is found that some serological biomarkers can predict tumor recurrence and may be a good indicator for selecting suitable HCC patients for LT. This article aims to evaluate the predictive effect of preoperative serological indicators on long-term overall survival (OS) and tumor recurrence-free survival (TFS) of patients with HCC after LT, and to explore its significance for expanding the Milan criteria.

Methods

Clinical data of 253 patients after LT in HCC were collected retrospectively. The receiver operating characteristic curve was used to calculate the best cut-off value. χ2 test was used to analyze the correlation between preoperative serological indicators and tumor pathological features. Univariate and multivariate analyses were used to analyze the risk factors affecting the OS and TFS rates and the predictive values of different LT criteria were compared. Nomogram model was used to predict the OS and TFS rates of patients exceeding Milan criteria.

Results

Independent risk factors for poor OS and TFS rates were alpha-fetoprotein (AFP) >200 ng/mL, gamma-glutamyl transpeptidase (GGT) >80 IU/L, total tumor diameter (TTD) >8 cm and microsatellite lesions. Nomogram model showed patients beyond Milan criteria had better survival when AFP ≤200 ng/mL and GGT ≤80 IU/L or AFP >200 ng/mL, GGT ≤80 IU/L and TTD ≤8 cm. According to Milan criteria, AFP, GGT and TTD, Milan-AFP-GGT-TTD (M-AGT) criteria was established. There was no significant difference in OS and TFS rates among patients in M-AGT, Milan, Hangzhou, Malaya and the University of California at San Francisco (UCSF) criteria.

Conclusions

Preoperative serological indicators AFP and GGT can effectively predict long-term OS and TFS in HCC patients after LT. Establishing M-AGT criteria based on serological indicators is helpful to supplement the Milan criteria.

Assessment of combined serum sST2 and AFP levels in the diagnosis of hepatocellular carcinoma

Background

Hepatocellular carcinoma (HCC) is a common malignant tumor with high morbidity and mortality. Alpha-fetoprotein (AFP) is the most widely used diagnostic serum biomarker, but it still has limited accuracy in detecting HCC, suggesting the necessity of seeking more ideal biomarkers with high sensitivity and specificity. Soluble growth stimulation gene 2 (sST2) form of growth stimulating expression gene 2 (ST2), is expressed in various organs and can bind competitively to interleukin 33 (IL-33). Whether sST2 can serve as a serum biomarker for HCC is largely unknown.

Objective

To investigate the value of sST2 as a serum diagnostic marker for HCC.

Methods

This study included 93 newly diagnosed HCC patients (HCC group), 90 chronic hepatitis B patients (CHB group), and 90 healthy individuals (HCs group). Spearman correlation analysis was used to explore the relationships between sST2 and the experimental indicators in HCC group. The receiver operating characteristic (ROC) curve evaluated the efficacy of sST2 alone or in combination with AFP in the diagnosis of HCC.

Result

The median level of sST2 was significantly higher in HCC group (24.00 [15.20-49.90] ng/mL) compared to CHB group (19.55 [15.23-24.95] ng/mL) and HCs group (7.65 [5.20-10.53] ng/mL). No significant correlations were found between sST2 and other clinical indicators in HCC group. The Area Under Curve (AUC) of ROC curve to distinguish HCC patients from healthy controls and CHB group was 0.861 (sensitivity 82.80%, specificity 72.10%) and 0.709 (sensitivity 80.60%, specificity 52.50%), respectively. When combined with AFP, the AUC increased to 0.963 (sensitivity 82.90%, specificity 94.20%), and 0.895 (sensitivity 72.0%, specificity 100%), respectively.

Conclusions

The serum level of sST2 increased in HCC and its diagnostic performance is comparable to that of AFP, supporting its potential as a promising biomarker for detection of HCC. The combined use of sST2 and AFP enhances diagnostic efficacy for HCC.

UBE2S promotes glycolysis in hepatocellular carcinoma by enhancing E3 enzyme-independent polyubiquitination of VHL

BACKGROUND/AIMS

Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking.

METHODS

Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth.

RESULTS

Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy.

CONCLUSION

UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Biomarker discovery in hepatocellular carcinoma (HCC) for personalized treatment and enhanced prognosis

Hepatocellular carcinoma (HCC) is a leading contributor to cancer-related deaths worldwide and presents significant challenges in diagnosis and treatment due to its heterogeneous nature. The discovery of biomarkers has become crucial in addressing these challenges, promising early detection, precise diagnosis, and personalized treatment plans. Key biomarkers, such as alpha fetoprotein (AFP) glypican 3 (GPC3) and des gamma carboxy prothrombin (DCP) have shown potential in improving clinical results. Progress in proteomic technologies, including next-generation sequencing (NGS), mass spectrometry, and liquid biopsies detecting circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), has deepened our understanding of HCC's molecular landscape. Immunological markers, like PD-L1 expression and tumor-infiltrating lymphocytes (TILs), also play a crucial role in guiding immunotherapy decisions. Despite these advancements, challenges remain in biomarker validation, standardization, integration into clinical practice, and cost-related barriers. Emerging technologies like single-cell sequencing and machine learning offer promising avenues for further exploration. Continued investment in research and collaboration among researchers, healthcare providers, and policymakers is vital to harness the potential of biomarkers fully, ultimately revolutionizing HCC management and improving patient outcomes through personalized treatment approaches.

ReLink strategy in diagnosed-but-untreated hepatitis C-positive patients in Germany: report from a single center

OBJECTIVE

The ReLink project aims to reintegrate diagnosed-but-untreated hepatitis-C-positive patients into medical care and initiate a therapy.

MATERIAL/METHODS

A retrospective search within the practice management system of a single center in Germany identified among 1965 hepatitis-C-positive patients 100 untreated patients with available contact details and meeting all inclusion criteria. Patients were contacted by 2 contact rounds.

RESULTS

Out of 100 patients, 64% were male. Most patients (81%) were aged between 30 and 59 years. The patients belonged to high-risk groups for hepatitis C virus infections or had other comorbidities. The majority of patients injected drugs (21%) and/or were currently or had been on substitution therapy (44%); alcohol addiction was also frequent (21%). Out of 25 patients who agreed to an appointment, 10 patients (40%) started therapy and 5 additional patients (20%) agreed to therapy but were not yet able to start or had not yet made a decision. One‑third of patients who agreed to an appointment did not show up.

CONCLUSIONS

Diagnosed-but-untreated patients are an important subgroup of hepatitis-C-positive patients; their recall to the clinic for direct-acting antiviral therapy is possible. However, inaccurate contact information, unresponsiveness to outreach, and further reluctance to attend doctor appointments limited the overall impact of this program. Regular review of the patients' contact details may facilitate both follow-up and recall.

Real-world experience with direct-acting antiviral therapy in HCV-infected patients with cirrhosis and esophageal varices

BACKGROUND

Hepatitis C virus (HCV) infection affects 50 million people worldwide with around 242,000 deaths annually, mainly due to complications such as cirrhosis and hepatocellular carcinoma (HCC). Portal hypertension (PH) caused by cirrhosis leads to severe consequences, including esophageal varices (EV). This study aimed to evaluate the effectiveness and safety of direct-acting antiviral (DAA) treatment in patients with and without EV.

METHODS

This retrospective analysis involved consecutive HCV-infected adults undergoing DAA therapy at 22 Polish hepatology centers from July 1, 2015, to December 31, 2022. Patients with cirrhosis were categorized based on the presence of EV diagnosed by gastroscopy. Treatment effectiveness was measured by sustained virologic response (SVR), with safety outcomes monitored for 12 weeks post-treatment.

RESULTS

A population of 3393 HCV-infected patients with cirrhosis was divided into groups with (A, n = 976) and without (B, n = 2417) EV. Group A showed a significantly higher prevalence of comorbidities and concomitant medications. Genotype (GT)1b infections predominated in both groups, and GT3 infections were more common in the EV group. Group A exhibited more severe liver disease, and higher rates of decompensation, HCC, and HBV co-infection. SVR was significantly higher in group B (91.5% vs. 96.3%, p < 0.0001). Male gender, GT3, EV presence, and Child-Pugh grade B were identified as independent negative SVR predictors. Group A had a worse safety profile, with notably higher adverse event incidence and mortality.

CONCLUSIONS

DAA therapies are highly effective and well tolerated in patients with cirrhosis, but EV presence predicts poorer virologic responses.

Glypican-3 knockdown inhibits the cell growth, stemness, and glycolysis development of hepatocellular carcinoma cells under hypoxic microenvironment through lactylation

CONTEXT

Hepatocellular carcinoma (HCC) is a common malignant tumour in China. Glypican-3 (GPC3) is reported to be closely related to the occurrence and development of various tumours.

OBJECTIVE

This study aimed to explore the role of GPC3 in HCC.

MATERIALS AND METHODS

The cell behaviours were investigated using Cell Counting Kit-8 (CCK-8), Traswell, and sphere formation assays. The protein and mRNA expression levels were detected using western blot and Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) assays.

RESULTS

The results showed that GPC3 knockdown decreased the cell viability and stemness, glucose uptake, lactate production, and extracellular acidification rate (ECAR), while increased the oxygen consumption rate (OCR) in hypoxia-treated HCC cells. Additionally, GPC3 knockdown decreased the global lactylation and c-myc lactylation, which further decreased the protein stability and expressions of c-myc.

DISCUSSION AND CONCLUSION

GPC3-mediated lactylation modification may be a new direction in HCC treatment in the future.