The increasing prevalence of multimorbidity and the co-occurrence of multiple chronic diseases presents a measurable challenge to public health, impacting healthcare strategies and planning. This study aimed to explore disease patterns and temporal clustering using data from South Korea's National Health Insurance Service, spanning 2002-2019. The dataset included approximately 1 million individuals, focusing on those with at least two chronic diseases while excluding individuals who died within five years of follow-up. We analyzed 126 non-communicable diseases, considering only those with a prevalence above 1%, and applied a wash-out period to determine incidence. Exploratory factor analysis (EFA) and non-negative matrix factorization (NMF) were used to identify disease clustering over time. Participants were divided into four groups: men and women in their 50 s and 60 s. EFA identified five patterns in men in their 50 s and seven in their 60 s, while four patterns emerged in women in their 50 s and five in their 60 s. NMF identified 10 clusters for men in their 50 s, 15 in their 60 s, and 16 clusters for women in both age groups. Our study confirms established comorbidity patterns and reveals previously unrecognized clusters, providing data-driven insights into multimorbidity mechanisms and supporting evidence-based healthcare strategies.

Several liver diseases have been associated with the Tudor staphylococcal nuclease (Tudor-SN) protein. Our previous results demonstrated that, in comparison to wild-type (WT) mice, systemic overexpression of Tudor-SN in transgenic (Tg) mice (Tudor-SN-Tg) ameliorates obesity-induced insulin resistance and hepatic steatosis. In this study, we observed an inverse correlation in the expression levels of Tudor-SN and profibrogenic factors, such as alpha-smooth muscle actin (α-SMA) and collagen alpha-1(I) chain (COL1A1), in liver tissue samples between Tudor-SN-Tg and WT mice. The correlation was further validated in hepatic fibrotic tissues from patients with cirrhosis and fibrosis. Utilizing a carbon tetrachloride (CCl4)-induced hepatic fibrosis model, we observed that Tudor-SN attenuated hepatic fibrosis in mice. Tudor-SN was abundantly expressed in hepatic stellate cells (HSCs). In the Tudor-SN-Tg group, primary HSCs showed stellate-like morphology as well as reduced in vitro proliferation and chemotactic ability compared to the WT group. Pseudotime series analysis of HSCs further showed the role of Tudor-SN during the dynamic evolution of HSC activation. Reduced Tudor-SN expression facilitated the in vitro activation of LX-2 cells. Furthermore, primary HSC cells from WT and Tudor-SN knockout (KO) mice were isolated for RNA-sequencing analysis. The findings suggested that Tudor-SN may regulate the activation of primary HSCs by influencing lipid metabolism, translation initiation, immune response, and the extracellular matrix. In summary, we identified Tudor-SN as a newly identified regulator involved in the transition of quiescent HSCs to activated states, shedding light on the antifibrotic impact of Tudor-SN expression in the development of hepatic fibrosis.

Chronic hepatitis B and cirrhosis pose significant global health threats. Few studies have explored the disease burden and mortality trend of cirrhosis caused by hepatitis B virus infection among adolescents and young adults (AYAs, aged 15-39 years). This study aimed to assess the disease burden and trends.

Publicly available data were obtained from the 2021 GBD database. The rates of incidence, mortality, and disability-adjusted life years were calculated at the global, regional, and national levels. Temporal trends were assessed using joinpoint regression analysis, while the Bayesian age-period-cohort model was used to predict future trends.

From 1990 to 2021, the global incidence rate of hepatitis B-related cirrhosis decreased from 111.33 (95% uncertainty interval: 89.18 to 134.98) to 67.75 (54.06 to 82.71) per 100,000 with an average annual percentage change of -1.58 (95% confidence interval: -1.66 to -1.51, p < 0.001). However, between 1990 and 2021, the incidence numbers in the 30-34 and 35-39 age groups increased by 23.75 and 21.24%, respectively. The number of deaths in low and low-middle Socio-demographic Index (SDI) areas increased by 79.51 and 20.62%, respectively. Moreover, it is predicted that the numbers of incidences and deaths will continue to rise in areas with low SDI. At the regional level, Central Sub-Saharan Africa had the highest incidence and mortality rates. In 2021, Somalia and the Democratic Republic of Congo had the highest incidence rates, whereas Kiribati and Cambodia had the highest mortality rates.

The overall burden of hepatitis B-related cirrhosis among AYAs has decreased over the past three decades. Nevertheless, there was a slight increase in the incidence number among individuals aged 30-39 years. The substantial burden and predicted rise in the numbers of incidences and deaths in low SDI areas underscore the need for sustained and targeted public health interventions.

Hepatocellular carcinoma (HCC) is a global health problem with increasing morbidity and mortality, and exploring the diagnosis and treatment of HCC at the gene level has become a research hotspot in recent years. As the rate-limiting enzyme of carnosine hydrolysis, CNDP1 participates in the progress of many diseases, but its function in HCC has not been fully elucidated.

This study firstly screened differentially expressed genes from the biochip related to HCC by bioinformatic analysis, and CNDP1 was finally selected for in-depth study. Then the bioinformatics analysis results were validated by detecting the expression of CNDP1 in human HCC samples and hepatoma cell lines. Furthermore, the effect of CNDP1 on the malignant behavior of hepatoma cell lines were assessed using MTT colorimetric assay, EdU staining assay, colony formation, wound-healing assay and transwell, and the molecular mechanism was also preliminarily explored.

This study found that CNDP1 expression was decreased significantly in human HCC tissues and cell lines, and its overexpression could significantly suppress cell proliferation, migration and invasion of hepatoma cell lines. Mechanistically the GeneMANIA database predicted that CNDP1 could interact with various proteins involved in regulating PI3K-AKT-mTOR signaling pathway. Furthermore, this study showed that CNDP1 overexpression could effectively inhibit the activation of PI3KAKT- mTOR signaling pathways, more significantly, inhibition of PI3K-AKT-mTOR signaling pathway could disrupt the anti-cancer effect of CNDP1 on HCC.

This study confirm that CNDP1 expression is decreased significantly in HCC, and has potential anti-cancer activity, this discovery provides a cytological basis for further understanding the biological function of CNDP1 and diagnosis and gene therapy of HCC in the future.

Ferroptosis is a novel form of programmed cell death characterized by iron accumulation, lipid peroxidation, and a decline in antioxidant capacity, all of which are regulated by gene expression. The onset of numerous diseases is closely associated with ferroptosis. Common diseases affect a large population, reduce the quality of life, and impose an increased burden on the healthcare system. The role of ferroptosis in common diseases, its therapeutic potential, and even its translation into clinical drug treatments are currently significant research topics worldwide. This study preliminarily explores the theoretical basis of ferroptosis, its mechanism and treatment prospect in common diseases including ischaemia-reperfusion injury, inflammatory bowel diseases, liver fibrosis, acute kidney injury, diabetic kidney disease, stroke, Alzheimer's disease, cardiovascular disease, immune and cancer. This review provides a theoretical foundation for the further study and development of ferroptosis, as well as for the prevention and treatment of common diseases.

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.

Hepatitis C virus (HCV) eradication with sofosbuvir/velpatasvir (SOF/VEL) represents a significant advancement, offering hope for eliminating the virus in diverse patient populations. But real-world data on its effectiveness and safety remains scarce for patients with chronic hepatitis C (CHC) in China, especially those with HCV GT3b, cirrhosis, hepato-cellular carcinoma (HCC), or HCV/hepatitis B (HBV), HCV/HIV, or HCV/HBV/HIV coinfection.

In this real-world prospective observational study, we recruited patients from the West China Hospital and Public Health Clinical Center of Chengdu in China. Patients included adults with with CHC and any genotype (GT), with or without cirrhosis, hepatocellular carcinoma (HCC), HCV/HBV, HCV/HIV, or HCV/HBV/HIV coinfection. Patients were administered SOF/VEL (400/100 mg) ± ribavirin (RBV) once daily for 12 weeks. The primary efficacy endpoint was sustained virological response at post-treatment week 12 (SVR12). Adverse events (AEs) were evaluated during treatment.

The study included 483 patients with HCV genotypes 1, 2, 3, 6 and uncertain ones. Among them, 35.4 % (171/483, ITT) and 36.7 % (166/452, mITT) received SOF/VEL + RBV. At the end of treatment , 99.2 % (ITT, 479/483) and 99.1 % (mITT, 448/452) of patients had undetectable HCV RNA. SVR12 rates were 92.8 % [intention to treat (ITT), 448/483] and 99.1 % [modified ITT (mITT), 448/452]. In the mITT analysis, SVR12 for patients with HCV GT3b, those with cirrhosis or HCC, and those coinfected with HBV/HIV was 99.2 % (130/131), 99.4 % (168/169), and 97.6 % (40/41), respectively. The albumin-bilirubin (ALBI) (-3.01 vs. -3.18 P < 0.001), Fibrosis-4 (FIB4) Index (2.53 vs. 1.88, P = 0.004) and AST to Platelet Ratio Index (APRI) (0.99 vs. 0.44, P < 0.001) scores showed a significant decrease from baseline to SVR12. No patients experienced grade 3-5 AEs.

Although a high proportion of patients included in this study had HCV GT3b, cirrhosis, HCC, or HCV/HBV, HCV/HIV, or HCV/HBV/HIV coinfection, SOF/VEL ± RBV was highly effective and well tolerated in Chinese patients with CHC.

Liver cancer represents a multifactorial, multistage, and intricately progressive malignancy. Over the past decade, artesunate (ART), initially renowned for its anti-malarial efficacy, has been the focus of over 3000 studies uncovering its diverse pharmacological actions, including anti-inflammatory, immunoregulatory, metabolic regulatory, anti-fibrotic, and anti-cancer properties. This review highlights ART's role in the multistep progression from hepatitis to cancer and its underlying regulatory mechanisms, revealing signal transducer and activator of transcription 3 (STAT3) and ferroptosis (a novel form of programmed cell death) as promising therapeutic targets. ART demonstrates efficacy in inhibiting hepatitis virus infections, modulating inflammation, and facilitating recovery from inflammatory processes. During stages of hepatic fibrosis or cirrhosis, ART reverses fibrotic and cirrhotic changes by suppressing hepatic stellate cell activity, regulating inflammatory pathways, inhibiting hematopoietic stem cell proliferation, and inducing ferroptosis. Additionally, ART hinders hepatocellular carcinoma (HCC) cell proliferation, invasion, and metastasis, induces apoptosis and autophagy, combats drug resistance, and enhances chemosensitivity. Collectively, ART exhibits multi-step actions across multiple targets and signaling pathways, highlighting its potential as a clinical candidate for the prevention and treatment of liver cancer, from hepatitis and hepatic fibrosis to advanced HCC.

Risk factors that influence the outcome of patients with chronic hepatitis C (CHC) are not fully understood. The systemic immune-inflammatory index (SII) is an independent prognostic factor for multiple diseases. However, the impact of the SII on the outcome of liver fibrosis is unclear.

This prospective real-world study enrolled patients with CHC treated with sofosbuvir/velpatasvir. Logistic regression models were used to investigate the relationship between the SII and the outcome of liver fibrosis in treatment-naive patients. Liver fibrosis was assessed using aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4).

Of the 288 participants, the SII was 238.2 (153.0-358.2). The non-improved outcomes of liver fibrosis assessed with APRI (non-improved APRI) and FIB-4 (non-improved FIB-4) were 83.0 and 87.5%, respectively. Adjusted models showed that the SII was positively associated with non-improved APRI (adjusted OR (95% CI): 1.013 (1.009-1.017), p < 0.001) and FIB-4 (adjusted OR (95% CI): 1.004 (1.001-1.007), p = 0.012). Similarly, a higher SII was associated with a higher risk of non-improved APRI (adjusted OR (95% CI): 13.53 (5.60-32.68), p < 0.001) and FIB-4 (adjusted OR (95% CI): 5.69 (2.17-14.90), p < 0.001). The association with non-improved APRI was much more remarkable in patients with alanine aminotransferase <2 ULN, and the association with non-improved FIB-4 was remarkable in patients aged <50 years. Multiple imputation analyses confirmed the robustness of these results.

Our findings suggested that the SII was positively associated with non-improved outcomes of liver fibrosis in patients with CHC. These results need to be validated in large-scale prospective cohorts.

RIG-I-like receptors (RLRs)-mitochondrial antiviral signaling protein (MAVS) are crucial for type I interferon (IFN) signaling pathway and innate immune responses triggered by RNA viruses. However, the regulatory molecular mechanisms underlying RNA virus-activated type I IFN signaling pathway remain incompletely understood. Here, we found that protein arginine methyltransferase 7 (PRMT7) serves as a negative regulator of the type I IFN signaling pathway by interacting with MAVS and catalyzing monomethylation of arginine 232 (R232me1) in MAVS. RNA virus infection leads to the downregulation and dissociation of PRMT7 from MAVS as well as the decrease of R232me1 methylation, enhancing MAVS/RIG-I interaction, MAVS aggregation, type I IFN signaling activation, and antiviral immune responses. Knock-in mice with MAVS R232 substituted with lysine (MavsR232K-KI) are more resistant to Vesicular Stomatitis Virus infection due to enhanced antiviral immune responses. PiPRMT7-MAVS, a short peptide inhibitor designed to interrupt the interaction between PRMT7 and MAVS, inhibits R232me1 methylation, thereby enhancing MAVS/RIG-I interaction, promoting MAVS aggregation, activating type I IFN signaling, and bolstering antiviral immune responses to suppress RNA virus replication. Moreover, the clinical relevance of PRMT7 is highlighted that it is significantly downregulated in RNA virus-infected clinical samples, such as blood samples from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Ebola virus, as well as H1N1-infected bronchial epithelial cells. Our findings uncovered that PRMT7-mediated arginine methylation plays critical roles in regulating MAVS-mediated antiviral innate immune responses, and targeting arginine methylation might represent a therapeutic avenue for treating RNA viral infection.

In the era of precision medicine with increasing amounts of sequenced cancer and non-cancer genomes of different ancestries, we here enumerate the resulting polygenic disease entities. Based on the cell number status, we first identified six fundamental types of polygenic illnesses, five of which are non-cancerous. Like complex, non-tumor disorders, neoplasms normally carry alterations in multiple genes, including in 'Drivers' and 'Passengers'. However, tumors also lack certain genetic alterations/epigenetic changes, recently named 'Goners', which are toxic for the neoplasm and potentially constitute therapeutic targets. Drivers are considered essential for malignant transformation, whereas environmental influences vary considerably among both types of polygenic diseases. For each form, hyper-rare disorders, defined as affecting <1/108 individuals, likely represent the largest number of disease entities. Loss of redundant tumor-suppressor genes exemplifies such a profoundly rare mutational event. For non-tumor, polygenic diseases, pathway-centered taxonomies seem preferable. This classification is not readily feasible in cancer, but the inclusion of Drivers and possibly also of epigenetic changes to the existing nomenclature might serve as initial steps in this direction. Based on the detailed genetic alterations, the number of polygenic diseases is essentially countless, but different forms of nosologies may be used to restrict the number.

Aim: This study uses blood routine, coagulation and biochemical indicators to explore the relationship between the hematological parameters of patients with various types of liver diseases.Methods: The Kruskal-Wallis, Chi-squared and Fisher exact tests were used to compare the hematological parameters and clinical characteristics of three groups of patients with different degrees of liver disease. Spearman correlation analysis is used to analyze the correlation between two continuous variables. The logistic regression model evaluated the odds ratio between variables and disease changes. Receiver operating characteristic curve analysis was used to understand the predictive value of each index in relation to the progress of liver disease.Results: There are differences in inflammation and coagulation profiles among different types of liver diseases and there is a correlation between them. In addition to the traditional marker α-fetoprotein, the inflammatory marker c-reactive protein and the coagulation marker D-dimer also have good diagnostic value for liver injury.Conclusion: The coagulation and inflammation systems interact, are connected and play essential roles in the liver.

Liver injury, a major global health issue, stems from various causes such as alcohol consumption, nonalcoholic steatohepatitis, obesity, diabetes, metabolic syndrome, hepatitis, and certain medications. The liver's unique susceptibility to ischemia and hypoxia, coupled with the critical role of the gut-liver axis in inflammation, underscores the need for effective therapeutic interventions. The study highlights E2's interaction with estrogen receptors (ERs) and its modulation of the Toll-like receptor 4 (TLR4) signaling pathway as key mechanisms in mitigating liver injury. Activation of TLR4 leads to the release of pro-inflammatory cytokines and chemokines, exacerbating liver inflammation and injury. E2 down-regulates TLR4 expression, reduces oxidative stress, and inhibits pro-inflammatory cytokines, thereby protecting the liver. Both classic (ERα and ERβ) and non-classic [G protein-coupled estrogen receptor (GPER)] receptors are influenced by E2. ERα is particularly crucial for liver regeneration, preventing liver failure by promoting hepatocyte proliferation. Furthermore, E2 exerts anti-inflammatory, antioxidant, and anti-apoptotic effects by inhibiting cytokines such as IL-6, IL-1β, TNF-α, and IL-17, and by reducing lipid peroxidation and free radical damage. The article calls for further clinical research to validate these findings and to develop estrogen-based treatments for liver injuries. Overall, the research emphasizes the significant potential of E2 as a therapeutic agent for liver injuries. It advocates for extensive clinical studies to validate E2 hepatoprotective properties and develop effective estrogen-based treatments.

One of the prominent causes of chronic liver disease worldwide is the hepatitis C virus (HCV). HCV believed that innate immunity contributes to a sustained virological response (SVR) to the treatment of Sofosbuvir (SOF) (+) Daclatasvir (DCV) (+) Ribavirin (RBV). This study aimed to evaluate the impact of SOF (+) DCV (+) RBV therapy and persistent HCV infection on the subset of natural killer cells (NK) in HCV genotype four patients from Egypt.

One hundred and ten patients with persistent HCV infections requiring SOF (+) DCV (+) RBV therapy were grouped, and a flow cytometry (FCM) study of the NK cell subset in peripheral blood was performed. The assessment was performed before and after three and/or six months of the cessation of viral suppression therapy when a patient had a long-term viral response (SVR). One hundred and ten volunteers from the National Liver Institute's (NLI) blood bank were selected as controls.

Patients with chronic HCV infection before therapy had considerably lower CD16+ and CD3- CD56+ cells than controls. Their levels increase during SOF (+) DCV (+) RBV therapy. In patients with SVR during treatment, CD16+ and CD3- CD56+ cells increased significantly compared to those who did not get SVR. Furthermore, CD56+ cells were significantly higher in patients with persistent infection before treatment than controls but diminished with the response to treatment.

NK cell activation following SOF (+) DCV (+) RBV therapy and polarization to cytotoxicity occurred early in HCV antiviral therapy and was elevated in the respondents. Our data illustrated that establishing an inhibitory cytotoxic NK profile is related to therapeutic outcomes.

Clustered regularly interspaced short palindromic repeats (CRISPR)-Cas system possess a broad range of applications for genetic modification, diagnosis and treatment of infectious as well as non-infectious disease. The CRISPR-Cas system is found in bacteria and archaea that possess the Cas protein and guide RNA (gRNA). Cas9 and gRNA forms a complex to target and cleave the desired gene, providing defense against viral infections. Human immunodeficiency virus (HIV), hepatitis B virus (HBV), herpesviruses, human papillomavirus (HPV), and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) cause major life threatening diseases which cannot cure completely by drugs. This chapter describes the present strategy of CRISPR-Cas systems for altering the genomes of viruses, mostly human ones, in order to control infections.

Epigallocatechin gallate (EGCG) is a prominent catechin found in green tea polyphenols and has shown promising anti-tumor properties. However, the exact regulatory mechanism of EGCG on liver cancer is not fully revealed. In this study, we conducted integrative analyses using the SwissTargetPrediction and GeneCards repositories, which identified 98 targets. These targets were used to construct a protein-protein interaction network using STRING and visualised with Cytoscape. Central to this network are hub proteins, notably TNF and PIK3CA, suggesting pivotal roles in the therapeutic landscape. Gene Ontology (GO) enrichment analysis unveiled 1,570 biological terms with a notable preponderance within oxidative stress response processes. Complementary pathway enrichment via the Kyoto Encyclopaedia of Genes and Genomes (KEGG) highlighted 134 pathways, with the PI3K-Akt pathway emerging as prominent. In silico molecular docking supported these findings, revealing binding energies of EGCG-target complexes below -7.0 kcal/mol, indicative of robust interactions. Moreover, cellular assays including CCK-8, wound-healing, and Transwell modalities, established EGCG's inhibitory concentration-dependent effects on HepG2 cell proliferation, migration, and invasion. Apoptotic assays affirmed by FACS, evidenced enhanced apoptosis with escalating EGCG concentrations, underpinned by modulations in caspase activity and apoptotic protein levels. Notably, Western blot analysis demonstrated the attenuation of the PI3K/AKT signalling cascade by EGCG, paralleling the inhibitory profile of LY294002. These multifaceted inhibitory effects underscore EGCG's potential as an anti-tumor agent, deploying a strategic blockade of oncogenic pathways and augmenting apoptotic mechanisms, which provide a strong rationale for its application in liver cancer therapeutics.

Scientists study the molecular activities of the hepatitis B virus (HBV). However, in vivo experiments are scarce. Some microRNAs are HBV-related, but their exact mechanisms are unknown. Our study provides an up-to-date view of the associations between microRNAs and HBV-DNA levels in chronically infected individuals. We conducted this large-scale research on five databases according to PRISMA guidance. Joanna Briggs Institute tools and Newcastle Ottawa Quality Assessment scores helped with quality evaluations. R 4.2.2 performed statistical computations for the meta-analysis. DIANA-microT 2023 and g:Profiler enriched the predictions of liver genes associated with miR-122 and miR-192-5p. From the 1313 records, we eliminated those irrelevant to our theme, non-article methodologies, non-English entries, and duplicates. We assessed associations between microRNAs and HBV-DNA levels. Overall, the pooled correlations favoured the general idea of the connection between non-coding molecules and viremia levels. MiR-122 and miR-192-5p were the most researched microRNAs, significantly associated with HBV-DNA levels. The connections between miR-122, miR-192-5p, let-7, miR-215, miR-320, and viral loads need further in vivo assessment. To conclude, this study evaluates systematically, for the first time, the correlations between non-coding molecules and viremia levels in patients. Our meta-analysis emphasizes potentially important pathways toward new inhibitors of the viral replication cycle.

Hepatocellular carcinoma (HCC) presents a significant global health challenge, particularly among individuals with liver cirrhosis, with hepatitis C (HCV) a major cause. In people with HCV-related cirrhosis, an increased risk of HCC remains after cure. HCC surveillance with six monthly ultrasounds has been shown to improve survival. However, adherence to biannual screening is currently suboptimal. This study aimed to evaluate the effect of increased HCC surveillance uptake and improved ultrasound sensitivity on mortality among people with HCV-related cirrhosis post HCV cure.

This study utilized mathematical modelling to assess HCC progression, surveillance, diagnosis, and treatment among individuals with cirrhosis who had successfully been treated for HCV. The deterministic compartmental model incorporated Barcelona Clinic Liver Cancer (BCLC) stages to simulate disease progression and diagnosis probabilities in 100 people with cirrhosis who had successfully been treated for hepatitis C over 10 years. Four interventions were modelled to assess their potential for improving life expectancy: realistic improvements to surveillance adherence, optimistic improvements to surveillance adherence, diagnosis sensitivity enhancements, and improved treatment efficacy Results: Realistic adherence improvements resulted in 9.8 (95% CI 7.9, 11.6) life years gained per cohort of 100 over a 10-year intervention period; 17.2 (13.9, 20.3) life years were achieved in optimistic adherence improvements. Diagnosis sensitivity improvements led to a 7.0 (3.6, 13.8) year gain in life years, and treatment improvements improved life years by 9.0 (7.5, 10.3) years.

Regular HCC ultrasound surveillance remains crucial to reduce mortality among people with cured hepatitis C and cirrhosis. Our study highlights that even minor enhancements to adherence to ultrasound surveillance can significantly boost life expectancy across populations more effectively than strategies that increase surveillance sensitivity or treatment efficacy.

The damage in the liver and hepatocytes is where the primary liver cancer begins, and this is referred to as Hepatocellular Carcinoma (HCC). One of the best methods for detecting changes in gene expression of hepatocellular carcinoma is through bioinformatics approaches.

This study aimed to identify potential drug target(s) hubs mediating HCC progression using computational approaches through gene expression and protein-protein interaction datasets.

Four datasets related to HCC were acquired from the GEO database, and Differentially Expressed Genes (DEGs) were identified. Using Evenn, the common genes were chosen. Using the Fun Rich tool, functional associations among the genes were identified. Further, protein-protein interaction networks were predicted using STRING, and hub genes were identified using Cytoscape. The selected hub genes were subjected to GEPIA and Shiny GO analysis for survival analysis and functional enrichment studies for the identified hub genes. The up-regulating genes were further studied for immunohistopathological studies using HPA to identify gene/protein expression in normal vs HCC conditions. Drug Bank and Drug Gene Interaction Database were employed to find the reported drug status and targets. Finally, STITCH was performed to identify the functional association between the drugs and the identified hub genes.

The GEO2R analysis for the considered datasets identified 735 upregulating and 284 downregulating DEGs. Functional gene associations were identified through the Fun Rich tool. Further, PPIN network analysis was performed using STRING. A comparative study was carried out between the experimental evidence and the other seven data evidence in STRING, revealing that most proteins in the network were involved in protein-protein interactions. Further, through Cytoscape plugins, the ranking of the genes was analyzed, and densely connected regions were identified, resulting in the selection of the top 20 hub genes involved in HCC pathogenesis. The identified hub genes were: KIF2C, CDK1, TPX2, CEP55, MELK, TTK, BUB1, NCAPG, ASPM, KIF11, CCNA2, HMMR, BUB1B, TOP2A, CENPF, KIF20A, NUSAP1, DLGAP5, PBK, and CCNB2. Further, GEPIA and Shiny GO analyses provided insights into survival ratios and functional enrichment studied for the hub genes. The HPA database studies further found that upregulating genes were involved in changes in protein expression in Normal vs HCC tissues. These findings indicated that hub genes were certainly involved in the progression of HCC. STITCH database studies uncovered that existing drug molecules, including sorafenib, regorafenib, cabozantinib, and lenvatinib, could be used as leads to identify novel drugs, and identified hub genes could also be considered as potential and promising drug targets as they are involved in the gene-chemical interaction networks.

The present study involved various integrated bioinformatics approaches, analyzing gene expression and protein-protein interaction datasets, resulting in the identification of 20 top-ranked hubs involved in the progression of HCC. They are KIF2C, CDK1, TPX2, CEP55, MELK, TTK, BUB1, NCAPG, ASPM, KIF11, CCNA2, HMMR, BUB1B, TOP2A, CENPF, KIF20A, NUSAP1, DLGAP5, PBK, and CCNB2. Gene-chemical interaction network studies uncovered that existing drug molecules, including sorafenib, regorafenib, cabozantinib, and lenvatinib, can be used as leads to identify novel drugs, and the identified hub genes can be promising drug targets. The current study underscores the significance of targeting these hub genes and utilizing existing molecules to generate new molecules to combat liver cancer effectively and can be further explored in terms of drug discovery research to develop treatments for HCC.

Background and aim: Patients with chronic hepatitis B patients (CHB) with low-level viremia (LLV) are not necessarily at low risk of developing hepatocellular carcinoma (HCC). The question of whether CHB patients with LLV require immediate antiviral agent (AVT) or long-term AVT remains controversial. The study aims to investigate the risk of HCC development and the risk factors in CHB patients with LLV and construct a nomogram model predicting the risk of HCC. Methods: We conducted a retrospective cohort study that enrolled 16,895 CHB patients from January 2008 to December 2020. The patients were divided into three groups for comparison: the LLV group, maintained virological response (MVR) group and HBV-DNA>2000 group. The cumulative incidence of progression to HCC was assessed. Cox regression analysis was performed to determine the final risk factors, and a nomogram model was constructed. The 10-fold Cross-Validation method was utilized for internal validation. Results: A total of 408 new cases of HCC occurred during the average follow-up period of 5.78 years. The 3, 5, and 10-year cumulative HCC risks in the LLV group were 3.56%, 4.96%, and 9.51%, respectively. There was a significant difference in the cumulative risk of HCC between the HBV-DNA level > 2000 IU/mL and LLV groups (p = 0.049). Independent risk factors for HCC development in LLV group included male gender, age, presence of cirrhosis, and platelets count. The Area Under the Curve (AUC) values for the 3-year and 5-year prediction from our HCC risk prediction model were 0.75 and 0.76, respectively. Conclusion: Patients with LLV and MVR are still at risk for developing HCC. The nomogram established for CHB patient with LLV, incorporating identified significant risk factors, serves as an effective tool for predicting HCC-free outcomes. This nomogram model provides valuable information for determining appropriate surveillance strategies and prescribing AVT.

The Hepatitis C virus (HCV) infection is strongly associated with cardiovascular disease risk factors, but the relationship with blood pressure (BP) remains unclear.

To assess the association between HCV infection status and BP in US adults.

Data for the study were obtained from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2012. The association of HCV infection status (including HCV infection, current HCV infection, and past HCV infection) with hypertension, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were explored using logistic or linear regression analyses respectively.

A total of 25,850 participants (age≥18 years) were enrolled in the current study, including 14,162 participants with hypertension. After adjusting for all covariates, HCV infection/current HCV infection was not associated with hypertension and SBP compared to participants with non-HCV infection (OR: 1.34,95% CI 0.96-1.87/1.31 95% CI 0.91,1.91, β: -0.92, 95% CI -2.7-0.86/-0.35 95% CI -2.51,1.81, respectively). HCV infection/current HCV infection was only associated with elevated DBP (β: 4.1,95% CI 2.57-5.63/4.24,95% CI 2.27-6.21). However, there was no correlation with past HCV infection in participants with hypertension, SBP, and DBP compared to those with non-HCV infection (OR: 1.23,95% CI 0.59-2.54; β: -3.79, 95% CI -7.67-0.08 and 2.28 95% CI -0.36-4.92, respectively).

In a representative sample of US adults, it was found that both HCV infection and current HCV infection were independently linked to higher DBP. However, there was no association between past HCV infection and DBP.

The tissue-specific characteristics have encouraged researchers to identify organ-specific lncRNAs as disease biomarkers. This study aimed to identify the clinical and functional roles of long non-coding RNA HLA-F antisense RNA 1 (HLA-F-AS1) in hepatitis B virus (HBV)-hepatocellular carcinoma (HCC). A total of 121 HBV-HCC, 81 chronic hepatitis B (CHB), and 85 normal liver tissues were evaluated in this study. Real-time quantitative PCR assay was used to evaluate the RNA expression levels. Performance in diagnosis was compared between alpha fetoprotein (AFP) and HLA-F-AS1 using Receiver Operating Characteristic (ROC) curves. Performance in post-hepatectomy prognosis with high or low HLA-F-AS1 was compared using Kaplan-Meier curves. Multi-variable analysis was used to determine the informative predictors. Downstream miRNAs for HLA-F-AS1 were predicted and miR-128-3p was confirmed by luciferase reporter assay and RNA pull-down assay. In vitro functional analysis was performed by MTS reagent for cell proliferation and transwell assay for cell migration. HLA-F-AS1 levels were significantly increased in the HBV-HCC compared to normal healthy tissue and CHB tissues. HLA-F-AS1 exhibited a well potential in making a distinction between HBV-HCC and health, as well as HBV-HCC and CHB. The survival analysis revealed that patients with high levels of HLA-F-AS1 tend to shorter overall survival times. The best prognostic performance was achieved by HLA-F-AS1 after multi-variable analysis (HR 2.290, 95% CI 1.191-4.403, p = 0.013). Functional analysis showed that HLA-F-AS1 promoted cell proliferation and migration via miR-128-3p. Up-regulation of HLA-F-AS1 could serve as a promising diagnostic and prognostic marker for HBV-HCC after surgery, maybe useful in the management of HBV-HCC patients. HLA-F-AS1 can promote the progression of HBV-HCC, may be useful in the targeting treatment of HBV-HCC patients.

Using photodynamic therapy (PDT) to treat deep-seated cancers is limited due to inefficient delivery of photosensitizers and low tissue penetration of light. Polymeric nanocarriers are widely used for photosensitizer delivery, while the self-quenching of the encapsulated photosensitizers would impair the PDT efficacy. Furthermore, the generated short-lived reactive oxygen spieces (ROS) can hardly diffuse out of nanocarriers, resulting in low PDT efficacy. Therefore, a smart nanocarrier system which can be degraded by light, followed by photosensitizer activation can potentially overcome these limitations and enhance the PDT efficacy. A light-sensitive polymer nanocarrier encapsulating photosensitizer (RB-M) was synthesized. An implantable wireless dual wavelength microLED device which delivers the two light wavelengths sequentially was developed to programmatically control the release and activation of the loaded photosensitizer. Two transmitter coils with matching resonant frequencies allow activation of the connected LEDs to emit different wavelengths independently. Optimal irradiation time, dose, and RB-M concentration were determined using an agent-based digital simulation method. In vitro and in vivo validation experiments in an orthotopic rat liver hepatocellular carcinoma disease model confirmed that the nanocarrier rupture and sequential low dose light irradiation strategy resulted in successful PDT at reduced photosensitizer and irradiation dose, which is a clinically significant event that enhances treatment safety.

In this research, a bio-inspired heuristic computing approach has been developed to solve the nonlinear behavior of the human liver, which is categorized into the liver and blood. The solutions of the human liver model are presented by using the stochastic computation procedure based on the artificial neural network (ANN) along with the optimization of genetic algorithm (GA) and interior-point (IP). A fitness function is designed through the differential form of the nonlinear human liver model and then optimized by using the hybrid competency of GAIP scheme. The correctness and exactness of the proposed approach are observed through the overlapping of the obtained (GAIP) and reference (Adams scheme) solutions, while the calculated absolute error values in good order enhance the worth of the proposed solver. The log-sigmoid transfer function together with ten numbers of neurons is executed to perform the solutions of the human liver nonlinear model. Furthermore, the statistical approaches have been applied in order to observe the reliability of the designed approach for solving the nonlinear human liver model.

Hepatocellular carcinoma (HCC) ranks as the third most common cause of cancer related death globally, representing a substantial challenge to global healthcare systems. In China, the primary risk factor for HCC is the hepatitis B virus (HBV). Aberrant serum glycoconjugate levels have long been linked to the progression of HBV-associated HCC (HBV-HCC). Nevertheless, few study systematically explored the dysregulation of glycoconjugates in the progression of HBV-associated HCC and their potency as the diagnostic and prognostic biomarker.

An integrated strategy that combined transcriptomics, glycomics, and glycoproteomics was employed to comprehensively investigate the dynamic alterations in glyco-genes, N-glycans, and glycoproteins in the progression of HBV- HCC.

Bioinformatic analysis of Gene Expression Omnibus (GEO) datasets uncovered dysregulation of fucosyltransferases (FUTs) in liver tissues from HCC patients compared to adjacent tissues. Glycomic analysis indicated an elevated level of fucosylated N-glycans, especially a progressive increase in fucosylation levels on IgA1 and IgG2 determined by glycoproteomic analysis.

The findings indicate that the abnormal fucosylation plays a pivotal role in the progression of HBV-HCC. Systematic and integrative multi-omic analysis is anticipated to facilitate the discovery of aberrant glycoconjugates in tumor progression.

We investigated the prognostic role of the gut microbiome and clinical factors in chronic liver disease (hepatitis, cirrhosis, and hepatocellular carcinoma [HCC]). Utilizing data from 227 patients whose stool samples were collected over the prior 3 years and a Cox proportional hazards model, we integrated clinical attributes and microbiome composition based on 16S ribosomal RNA sequencing. HCC was the primary cause of mortality, with the Barcelona Clinic Liver Cancer staging system-derived B/C significantly increasing the mortality risk (hazard ratio [HR] = 8.060; 95% confidence interval [CI]: 3.6509-17.793; p < 0.001). Cholesterol levels < 140 mg/dL were associated with higher mortality rates (HR = 4.411; 95% CI: 2.0151-9.6555; p < 0.001). Incertae sedis from Ruminococcaceae showed a protective effect, reducing mortality risk (HR = 0.289; 95% CI: 0.1282 to 0.6538; p = 0.002), whereas increased Veillonella presence was associated with a higher risk (HR = 2.733; 95% CI: 1.1922-6.2664; p = 0.017). The potential of specific bacterial taxa as independent prognostic factors suggests that integrating microbiome data could improve the prognosis and treatment of chronic liver disease. These microbiome-derived markers have prognostic significance independently and in conjunction with clinical factors, suggesting their utility in improving a patient's prognosis.

The changes in risk scores of inflammatory markers among patients diagnosed with hepatocellular carcinoma (HCC) remain unknown.

To investigate the relationship between the inflammation risk score and other contributing factors and the prognostic outcomes in patients with moderate and advanced hepatitis B virus (HBV)-related HCC.

A retrospective cohort study.

A total of 174 patients with moderate and advanced HBV related HCC were recruited to investigate the impact of stratified inflammatory risk scores and other associated risk factors on disease prognosis. Based on the optimal cut-off values calculated by the Youden index, the patients were divided into high-risk and low-risk groups based on their inflammation risk scores.

The study found a significant difference in median survival time between the low-risk and high-risk groups based on the inflammation risk score. Furthermore, the inflammation risk score, alpha-fetoprotein levels, transarterial chemoembolization treatment, and Barcelona Clinic Liver Cancer stage were identified as independent prognostic factors. The four variables were used to construct a prognostic nomogram for HCC. Subsequent evaluations using time-dependent receiver operating characteristic analysis and calibration curve tests revealed the nomogram's commendable discriminatory ability. As a result, the nomogram proved to be an effective tool for predicting survival at 2- to 4-years.

The inflammation risk score has been identified as a significant prognostic factor for HBV-related HCC. The development of nomogram models has provided a practical and effective tool for determining the prognosis of patients affected by HBV-related HCC.

A growing number of clinical examples suggest that coronavirus disease 2019 (COVID-19) appears to have an impact on the treatment of patients with liver cancer compared to the normal population, and the prevalence of COVID-19 is significantly higher in patients with liver cancer. However, this mechanism of action has not been clarified.

To investigate the disease relevance of COVID-19 in liver cancer.

Gene sets for COVID-19 (GSE180226) and liver cancer (GSE87630) were obtained from the Gene Expression Omnibus database. After identifying the common differentially expressed genes (DEGs) of COVID-19 and liver cancer, functional enrichment analysis, protein-protein interaction network construction and screening and analysis of hub genes were performed. Subsequently, the validation of the differential expression of hub genes in the disease was performed and the regulatory network of transcription factors and hub genes was constructed.

Of 518 common DEGs were obtained by screening for functional analysis. Fifteen hub genes including aurora kinase B, cyclin B2, cell division cycle 20, cell division cycle associated 8, nucleolar and spindle associated protein 1, etc., were further identified from DEGs using the "cytoHubba" plugin. Functional enrichment analysis of hub genes showed that these hub genes are associated with P53 signalling pathway regulation, cell cycle and other functions, and they may serve as potential molecular markers for COVID-19 and liver cancer. Finally, we selected 10 of the hub genes for in vitro expression validation in liver cancer cells.

Our study reveals a common pathogenesis of liver cancer and COVID-19. These common pathways and key genes may provide new ideas for further mechanistic studies.

This review discusses recent experimental and clinical findings related to ferroptosis, with a focus on the role of MSCs. Therapeutic efficacy and current applications of MSC-based ferroptosis therapies are also discussed.

Ferroptosis is a type of programmed cell death that differs from apoptosis, necrosis, and autophagy; it involves iron metabolism and is related to the pathogenesis of many diseases, such as Parkinson's disease, cancers, and liver diseases. In recent years, the use of mesenchymal stem cells (MSCs) and MSC-derived exosomes has become a trend in cell-free therapies. MSCs are a heterogeneous cell population isolated from a diverse range of human tissues that exhibit immunomodulatory functions, regulate cell growth, and repair damaged tissues. In addition, accumulating evidence indicates that MSC-derived exosomes play an important role, mainly by carrying a variety of bioactive substances that affect recipient cells. The potential mechanism by which MSC-derived exosomes mediate the effects of MSCs on ferroptosis has been previously demonstrated. This review provides the first overview of the current knowledge on ferroptosis, MSCs, and MSC-derived exosomes and highlights the potential application of MSCs exosomes in the treatment of ferroptotic conditions. It summarizes their mechanisms of action and techniques for enhancing MSC functionality. Results obtained from a large number of experimental studies revealed that both local and systemic administration of MSCs effectively suppressed ferroptosis in injured hepatocytes, neurons, cardiomyocytes, and nucleus pulposus cells and promoted the survival and regeneration of injured organs.

We reviewed the role of ferroptosis in related tissues and organs, focusing on its characteristics in different diseases. Additionally, the effects of MSCs and MSC-derived exosomes on ferroptosis-related pathways in various organs were reviewed, and the mechanism of action was elucidated. MSCs were shown to improve the disease course by regulating ferroptosis.

Collision tumors consisting of hepatocellular carcinoma (HCC) and cavernous hemangioma (CH) are rare and the clinicopathological characteristics or cause of the tumors remain unclear. The present study reports the case of a 71-year-old male patient who was admitted to Sunshine Union Hospital (Weifang, China) due to a liver mass found during a routine physical examination. computed tomography scans showed a main lesion of ~4.0×4.2×3.5 cm in segment IV of the patient's liver and a nodule of ~2.4×2.2×1.3 cm in the lower-left part of the lesion, which was clearly demarcated from the main lesion. The capsule of the lesion was found to be intact during the operation performed to remove the tumor. The final patient diagnosis was of a HCC-CH collision tumor based on pathology. The patient underwent follow-up for 6 months after surgery and no recurrence was observed.

suppression of methylation inhibitors (epigenetic genes) in hepatocarcinogenesis induced by diethylnitrosamine using glycyrrhetinic acid.

In the current work, we investigated the effect of sole GA combined with different agents such as doxorubicin (DOX) or probiotic bacteria (Lactobacillus rhamanosus) against hepatocarcinogenesis induced by diethylnitrosamine to improve efficiency. The genomic DNA was isolated from rats' liver tissues to evaluate either methylation-sensitive or methylation-dependent resection enzymes. The methylation activity of the targeting genes DLC-1, TET-1, NF-kB, and STAT-3 was examined using specific primers and cleaved DNA products. Furthermore, flow cytometry was used to determine the protein expression profiles of DLC-1 and TET-1 in treated rats' liver tissue.

Our results demonstrated the activity of GA to reduce the methylation activity in TET-1 and DLC-1 by 33.6% and 78%, respectively. As compared with the positive control. Furthermore, the association of GA with DOX avoided the methylation activity by 88% and 91% for TET-1 and DLC-1, respectively, as compared with the positive control. Similarly, the combined use of GA with probiotics suppressed the methylation activity in the TET-1 and DLC-1 genes by 75% and 81% for TET-1 and DLC-1, respectively. Also, GA and its combination with bacteria attenuated the adverse effect in hepatocarcinogenesis rats by altering potential methylomic genes such as NF-kb and STAT3 genes by 76% and 83%, respectively.

GA has an ameliorative effect against methylation inhibitors in hepatocellular carcinoma (HCC) by decreasing the methylation activity genes.

Therapy for chronic hepatitis C virus infection with direct-acting antiviral agents (DAAs) has been highly successful in achieving sustained virological response (SVR) with associated improvements in liver dysfunction, liver-related mortality, and transplant-free survival. There is a high risk of hepatocellular carcinoma (HCC) with an annual incidence of 2% to 4% in patients with cirrhosis. Following DAAs treatment and achievement of SVR, the risk of incident and recurrent HCC drops significantly over time, with risk associated with demographic and liver disease-related factors. Several risk factors have been described including age, male, diabetes comorbidities, alcohol abuse, hepatitis B virus or human immunodeficiency virus-coinfection, and advanced liver disease or increased liver fibrosis. Recurrence risk after DAA therapy has been associated with baseline tumor burden, with increased risk with larger lesion(s), multifocal disease, elevated alpha-fetoprotein level, treatment type (curative vs palliative), and shorter interval between HCC complete response and DAA initiation. Overall, due to the heterogeneity among individual patient data and lack of adequately controlled data, there are no conclusive statements that can be drawn that DAAs exposure is directly associated with HCC occurrence or recurrence. However, the best available data suggest a decreased risk of incident HCC with DAA therapy and no increased risk of recurrence with DAAs after complete tumor response.

Hepatitis, a global public health concern, presents a significant burden on healthcare systems worldwide. Particularly, hepatitis B and C are viral infections that can lead to severe liver damage, cirrhosis, and even hepatocellular carcinoma (HCC). The urgency to combat these diseases has driven researchers to explore existing small-molecule drugs as potential therapeutics. This comprehensive review provides a systematic overview of synthetic routes to key antiviral agents used to manage hepatitis. Furthermore, it elucidates the mechanisms of action of these drugs, shedding light on their interference with viral replication and liver disease progression. The review also discusses the clinical applications of these drugs, including their use in combination therapies and various patient populations. By evaluating the synthetic pathways and clinical utility of these drugs, this review not only consolidates current knowledge but also highlights potential future directions for research and drug development in the fight against hepatitis, ultimately contributing to improved patient outcomes and reduced global disease burden.

Ferroptosis is a novelty form of regulated cell death, and it is mainly characterized by iron accumulation and lipid peroxidation in the cells. Its underlying mechanism is related to the amino acid, iron, and lipid metabolisms. During viral infection, pathogenic microorganisms have evolved to interfere with ferroptosis, and ferroptosis is often manipulated by viruses to regulate host cell servicing for viral reproduction. Therefore, this review provides a comprehensive overview of the mechanisms underlying ferroptosis, elucidates the intricate signaling pathways involved, and explores the pivotal role of ferroptosis in the pathogenesis of viral infections. By enhancing our understanding of ferroptosis, novel therapeutic strategies can be devised to effectively prevent and treat diseases associated with this process. Furthermore, unraveling the developmental mechanisms through which viral infections exploit ferroptosis will facilitate development of innovative antiviral agents.

Autophagy is a physiological process that is ubiquitous and essential to the disposal or recycling of damaged cellular organelles and misfolded proteins to maintain organ homeostasis and survival. Its importance in the regulation of liver function in normal and pathological conditions is increasingly recognized. This review summarizes how autophagy regulates epithelial cell- and non-epithelial cell-specific function in the liver and how it differentially participates in hepatic homeostasis, hepatic injury response to stress-induced liver damage such as cholestasis, sepsis, non-alcoholic and alcohol-associated liver disease, viral hepatitis, hepatic fibrosis, hepatocellular and cholangiocellular carcinoma, and aging. Autophagy-based interventional studies for liver diseases that are currently registered in clinicatrials.gov are summarized. Given the broad and multidirectional autophagy response in the liver, a more refined understanding of the liver cell-specific autophagy activities in a context-dependent manner is necessary.

Hepatocellular carcinoma (HCC), a considerable leading cause of cancer-related deaths worldwide, is the most common primary liver cancer with poor prognosis and outcome. Many advances in prevention, screening, and new technologies in diagnostics and therapy have been achieved, but its incidence and mortality remain increasing. Co-infection of another viral disease in HCC patients with pregnancy might exacerbate the condition and double the mortality rate. The aim of this case report was to describe the co-infection of coronavirus disease 2019 (COVID-19) in an HCC patient during pregnancy. A 26-year-old woman with 16-17 weeks of gestation was admitted to Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia with shortness of breath. The patient also reported that the abdomen expanded rapidly in the last three weeks, followed by severe pain and collateral vein appearance. Laboratory findings revealed anemia, leukocytosis, HBsAg reactive, hypoalbuminemia, hyperbilirubinemia, elevated liver enzymes, increased alpha-fetoprotein (AFP), and cancer antigen 125 (CA-125). Ultrasonography indicated gestation with a single fetus, an enlarged liver with a 9.9 × 9.4 cm nodule, and massive ascites. The patient was also RT-PCR-confirmed COVID-19. On day 8 of hospitalization, the patient suddenly reported severe abdominal pain. Ultrasonography revealed fetal distress immediately followed by fetal death. Adequate management of cancer pain, continuous evacuation of ascites, and other supportive care could not save the patient who died on the day 17 of hospitalization. In this case, we found no proof that the patient experienced cirrhosis prior to HCC. Pregnancy through hormonal alteration is thought to be the aggravating factor that accelerates the progression of pre-existing liver disease into carcinoma and infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worsened the outcome in this patient.

Hepatitis C virus (HCV) is a major cause of hepatocellular carcinoma (HCC) accounting for around one-third of all HCC cases. Prolonged inflammation in chronic hepatitis C (CHC), maintained through a variety of pro- and anti-inflammatory mediators, is one of the aspects of carcinogenesis, followed by mitochondrial dysfunction and oxidative stress. Immune response dysfunction including the innate and adaptive immunity also plays a role in the development, as well as in the recurrence of HCC after treatment. Some of the tumor suppressor genes inhibited by the HCV proteins are p53, p73, and retinoblastoma 1. Mutations in the telomerase reverse transcriptase promoter and the oncogene catenin beta 1 are two more important carcinogenic signaling pathways in HCC associated with HCV. Furthermore, in HCV-related HCC, numerous tumor suppressor and seven oncogenic genes are dysregulated by epigenetic changes. Epigenetic regulation of gene expression is considered as a lasting "epigenetic memory", suggesting that HCV-induced changes persist and are associated with liver carcinogenesis even after cure. Epigenetic changes and immune response dysfunction are recognized targets for potential therapy of HCC.