Hepatocellular Carcinoma Mortality Research Articles

Diagnostic and prognostic performances of GALAD score in staging and 1-year mortality of hepatocellular carcinoma: A prospective study

BACKGROUND The GALAD score has improved early hepatocellular carcinoma (HCC) detection rate. The role of the GALAD score in staging and predicting tumor characteristics or clinical outcome of HCC remains of particular interest. AIM To determine the diagnostic/prognostic performances of the GALAD score at various phases of initial diagnosis, tumor features, and 1-year mortality of HCC and compare the performance of the GALAD score with those of other serum biomarkers. METHODS This prospective, diagnostic/prognostic study was conducted among patients with newly diagnosed HCC at the liver center of Vajira Hospital. Eligible patients had HCC staging allocation using the Barcelona Clinic Liver Cancer (BCLC) categorization. Demographics, HCC etiology, and HCC features were recorded. Biomarkers and the GALAD score were obtained at baseline. The performance of the GALAD score and biomarkers were prospectively assessed. RESULTS Exactly 115 individuals were diagnosed with HCC. The GALAD score increased with disease severity. Between BCLC-0/A and BCLC-B/C/D, the GALAD score predicted HCC staging with an area under the curve (AUC) of 0.868 (95%CI: 0.80–0.93). For identifying the curative HCC, the AUC of GALAD score was significantly higher than that of Alpha-fetoprotein (AFP) (0.753) and Lens culinaris agglutinin-reactive fraction of AFP-L3 (0.706), and as good as that of Protein induced by vitamin K absence-II (PIVKA-II) (0.897). For detecting aggressive features, the GALAD score gave an AUC of 0.839 (95%CI: 0.75–0.92) and significantly outperformed compared to that of AFP (0.761) and AFP-L3 (0.697), with a trend of superiority to that of PIVKA-II (0.772). The performance to predict 1-year mortality of GALAD score (AUC: 0.711, 95%CI: 0.60–0.82) was better than that of AFP (0.541) and as good as that of PIVKA-II (0.736). The optimal cutoff value of GALAD score was ≥ 6.83, with a specificity of 72.63% for exhibiting substantial reduction in the 1-year mortality. CONCLUSION The GALAD model can diagnose HCC at the curative stage, including the characteristic of advanced disease, more than that by AFP and AFP-L3, but not PIVKA-II. The GALAD score can be used to predict the 1-year mortality of HCC.

The comprehensive roles of lncRNA FAM99A/FAM99B in hepatocellular carcinoma: Expressions, regulatory mechanisms and functional pathway analysis

AimsThe incidence and mortality of liver hepatocellular carcinoma (LIHC) were increasing year by year. The aim of this study was to investigate the comprehensive roles of lncRNA FAM99A and FAM99B in LIHC. Main methodsAccording to the data of TCGA and GTEx, the expression levels of FAM99A and FAM99B in LIHC were evaluated, and the overall survival (OS), disease-free survival (DFS), immune cell infiltration and tumor stage were analyzed. The subcellular localization of FAM99A and FAM99B in various cancer cell lines was predicted by lncATLAS database. In addition, we also used ENCORI, KEGG, LinkedOmics, Metascape and other databases. It was verified by in vivo and in vitro experiments. Key findingsCompared with adjacent normal tissues, FAM99A and FAM99B were down-regulated in LIHC tissues, and significantly correlated with immune cell infiltration. With the progression of tumor stage and grade, the expression of FAM99A and FAM99B showed a decreasing trend, and the prognosis of patients were also poor. In addition, the biological functions, signaling pathways and protein interactions of FAM99A and FAM99B in LIHC were enriched to study the potential molecular mechanisms. The overlapping RNA binding proteins (RBP) of FAM99A and FAM99B mainly included CSTF2T, BCCIP, RBFOX2 and SF3B4. Finally, experiments showed that overexpression of FAM99A attenuated the proliferation, invasion, colony formation and tumor growth of LIHC cells. SignificanceTaken together, the above studies demonstrated that FAM99A and FAM99B had an inhibitory effect on the progression of LIHC, which might be promising diagnostic biomarkers and therapeutic targets for LIHC patients.

Serum Total Superoxide Dismutase Activity as a Predictive Factor in Patients with Hepatocellular Carcinoma

Objectives: This study aimed to determine the cutoff value for diagnosis and predict mortality in hepatocellular carcinoma (HCC) based on serum total superoxide dismutase (SOD) activity. Methods: A retrospective case-control study of the SOD Model was conducted using data from a single-center dataset at Shandong Provincial Hospital Affiliated with Shandong First Medical University, China. Serum total SOD activity was analyzed in HCC patients (n = 124) and control subjects (n = 117). Receiver operating characteristic (ROC) curves were used to determine cutoff values of serum total SOD activity for HCC diagnosis. Overall survival (OS) was assessed using the Kaplan-Meier method. Results: In the model groups, the cutoff level of total SOD activity for HCC was 169.2 U/mL (sensitivity: 87.23%, specificity: 91.95%), while for HCC [alpha fetoprotein (AFP) < 20 ng/mL], it was 173.4 U/mL (sensitivity: 86.79%, specificity: 88.51%). Additionally, in the validation groups, the true positive rate, true negative rate, and accuracy rate were all above 90%. Based on the cutoff value of SOD, HCC patients were assigned to an H-SOD and L-SOD group depending on their serum total SOD activity at admission before operation. The 5-year OS rate of the H-SOD group was 75.00%, and that of the L-SOD group was 36.59% in HCC patients (P = 0.0245). With a decrease in SOD activity, serum levels of Zn (t = 3.890, P = 0.0003) and Se (t = 7.694, P < 0.0001) were also significantly decreased and positively correlated with SOD activity (both P < 0.05) in HCC patients. Conclusions: Low serum total SOD activity may also be a risk factor for HCC. The decrease of SOD activity in HCC patients was partly related to a lack of Zn and Se.

A Longitudinal Analysis of Mortality Related to Chronic Viral Hepatitis and Hepatocellular Carcinoma in the United States

(1) Background: Hepatocellular carcinoma (HCC) contributes to the significant burden of cancer mortality in the United States (US). Despite highly efficacious antivirals, chronic viral hepatitis (CVH) remains an important cause of HCC. With advancements in therapeutic modalities, along with the aging of the population, we aimed to assess the contribution of CVH in HCC-related mortality in the US between 1999–2020. (2) Methods: We queried all deaths related to CVH and HCC in the multiple-causes-of-death files from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) database between 1999–2020. Using the direct method of standardization, we adjusted all mortality information for age and compared the age-adjusted mortality rates (AAMRs) across demographic populations and by percentile rankings of social vulnerability. Temporal shifts in mortality were quantified using log-linear regression models. (3) Results: A total of 35,030 deaths were identified between 1999–2020. The overall crude mortality increased from 0.27 in 1999 to 8.32 in 2016, followed by a slight reduction to 7.04 in 2020. The cumulative AAMR during the study period was 4.43 (95% CI, 4.39–4.48). Males (AAMR 7.70) had higher mortality rates compared to females (AAMR 1.44). Mortality was higher among Hispanic populations (AAMR 6.72) compared to non-Hispanic populations (AAMR 4.18). Higher mortality was observed in US counties categorized as the most socially vulnerable (AAMR 5.20) compared to counties that are the least socially vulnerable (AAMR 2.53), with social vulnerability accounting for 2.67 excess deaths per 1,000,000 person-years. (4) Conclusions: Our epidemiological analysis revealed an overall increase in CVH-related HCC mortality between 1999–2008, followed by a stagnation period until 2020. CVH-related HCC mortality disproportionately affected males, Hispanic populations, and Black/African American populations, Western US regions, and socially vulnerable counties. These insights can help aid in the development of strategies to target vulnerable patients, focus on preventive efforts, and allocate resources to decrease HCC-related mortality.

Hepatocellular Carcinoma: Current Drug Therapeutic Status, Advances and Challenges.

Hepatocellular carcinoma (HCC) is the most common form of liver cancer, accounting for ~90% of liver neoplasms. It is the second leading cause of cancer-related deaths and the seventh most common cancer worldwide. Although there have been rapid developments in the treatment of HCC over the past decade, the incidence and mortality rates of HCC remain a challenge. With the widespread use of the hepatitis B vaccine and antiviral therapy, the etiology of HCC is shifting more toward metabolic-associated steatohepatitis (MASH). Early-stage HCC can be treated with potentially curative strategies such as surgical resection, liver transplantation, and radiofrequency ablation, improving long-term survival. However, most HCC patients, when diagnosed, are already in the intermediate or advanced stages. Molecular targeted therapy, followed by immune checkpoint inhibitor immunotherapy, has been a revolution in HCC systemic treatment. Systemic treatment of HCC especially for patients with compromised liver function is still a challenge due to a significant resistance to immune checkpoint blockade, tumor heterogeneity, lack of oncogenic addiction, and lack of effective predictive and therapeutic biomarkers.

Appraisal of a newly developed ALBI-sarcopenia score as a prognostic marker in patients with hepatocellular carcinoma

Objective This study aimed to evaluate the impact of the combined Albumin–bilirubin (ALBI)/sarcopenia score as a newly developed prognostic model for hepatocellular carcinoma (HCC), with a focus on its utility in predicting mortality. Methods This prospective study was conducted on HCC patients who were followed for 1 year or until death. Sarcopenia was assessed radiologically by computed tomography at the level of L3. The study consisted of two sets: a development set in which the new ALBI-sarcopenia score was created, comprising 262 HCC patients, followed by an internal validation set with 100 patients. Results The development cohort primarily included males (69.5%), aged 59.6 ± 8.09 years. In patients with sarcopenia, the ALBI score was −2.03 ± 0.42 (P < 0.006), the model for end-stage liver disease (MELD) score was 11.29 ± 2.43 (P < 0.001*), and the MELD-sarcopenia score was 21.29 ± 2.43 (P < 0.001*). The distribution of barcelona clinic liver cancer (BCLC) staging was as follows: BCLC A 18 (15.9%), BCLC B 63 (55.8%) and BCLC C 32 (28.3%) (P < 0.001*), with a notable association with higher mortality (P < 0.001). Multivariate analysis identified sarcopenia and ALBI scores as independent predictors of mortality in HCC (P < 0.001*). In the development set, the ALBI-sarcopenia score successfully predicted mortality at a cutoff >−11 with an area under a curve of 0.837 (95% CI, 0.784–0.889), while in the validation set, it predicted mortality at a cutoff >−11.55 with an area under a curve of 0.842 (95% CI, 0.753–0.930). Conclusion The newly introduced ALBI-sarcopenia score has demonstrated superior effectiveness in comparison to MELD-sarcopenia score, overcoming the shortcomings associated MELD score in forecasting outcomes for patients with HCC.

Alcohol-associated liver cancer.

Heavy alcohol intake induces a wide spectrum of liver diseases ranging from steatosis, steatohepatitis, cirrhosis, and hepatocellular carcinoma (HCC). Although alcohol consumption is a well-known risk factor for the development, morbidity, and mortality of HCC globally, alcohol-associated HCC (A-HCC) is poorly characterized compared to viral hepatitis-associated HCC. Most A-HCCs develop post alcohol-associated cirrhosis, but the direct carcinogenesis from ethanol and its metabolites to A-HCC remains obscure. The differences between A-HCC and HCCs caused by other etiologies have not been well investigated in terms of clinical prognosis, genetic or epigenetic landscape, molecular mechanisms, and heterogeneity. Moreover, there is a huge gap between basic research and clinical practice due to the lack of pre-clinical models of A-HCC. In the current review, we discuss the pathogenesis, heterogeneity, preclinical approaches, epigenetic and genetic profiles of A-HCC, and discuss the current insights into and the prospects for future research on A-HCC. The potential effect of alcohol on cholangiocarcinoma and liver metastasis are also discussed.

Epidemiology of NAFLD – Focus on diabetes

There is increasing appreciation of the complex interaction between nonalcoholic fatty liver disease (NAFLD) with type 2 diabetes (T2D) and insulin resistance. Not only is the prevalence of NAFLD disease high among patients with T2D, the liver disease is also more progressive. Currently, the global prevalence of NAFLD in the general population (2016–2019) is 38 %. The prevalence of T2D among those with NAFLD is approximately 23 % while the prevalence of NAFLD among those with T2D can be as high as 70 %. The prevalence of nonalcoholic steatohepatitis (NASH) is approximately 7 % in the general population and 37 % among patients with T2D. Globally, the MENA and Latin America regions of the world appear to have the highest burden of both NAFLD and T2D. Compared to those with NAFLD but without T2D, those with NAFLD and T2D are at a much higher risk for disease progression to cirrhosis and for decompensated cirrhosis, hepatocellular carcinoma, and all-cause mortality. Given that highly effective new treatments are available for T2D, high risk NAFLD with T2D should be considered for these regimens. This requires implementation of risk stratification algorithms in the primary care and endocrinology practices to identify those patients at highest risk for adverse outcomes.

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

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

Waitlist Outcomes for Exception and Non-exception Liver Transplant Candidates in the United States Following Implementation of the Median MELD at Transplant (MMaT)/250-mile Policy.

Since February 2020, exception points have been allocated equivalent to the median model for end-stage liver disease at transplant within 250 nautical miles of the transplant center (MMaT/250). We compared transplant rate and waitlist mortality for hepatocellular carcinoma (HCC) exception, non-HCC exception, and non-exception candidates to determine whether MMaT/250 advantages (or disadvantages) exception candidates. Using Scientific Registry of Transplant Recipients data, we identified 23 686 adult, first-time, active, deceased donor liver transplant (DDLT) candidates between February 4, 2020, and February 3, 2022. We compared DDLT rates using Cox regression, and waitlist mortality/dropout using competing risks regression in non-exception versus HCC versus non-HCC candidates. Within 24 mo of study entry, 58.4% of non-exception candidates received DDLT, compared with 57.8% for HCC candidates and 70.5% for non-HCC candidates. After adjustment, HCC candidates had 27% lower DDLT rate (adjusted hazard ratio = 0.680.730.77) compared with non-exception candidates. However, waitlist mortality for HCC was comparable to non-exception candidates (adjusted subhazard ratio [asHR] = 0.931.031.15). Non-HCC candidates with pulmonary complications of cirrhosis or cholangiocarcinoma had substantially higher risk of waitlist mortality compared with non-exception candidates (asHR = 1.271.702.29 for pulmonary complications of cirrhosis, 1.352.043.07 for cholangiocarcinoma). The same was not true of non-HCC candidates with exceptions for other reasons (asHR = 0.540.881.44). Under MMaT/250, HCC, and non-exception candidates have comparable risks of dying before receiving liver transplant, despite lower transplant rates for HCC. However, non-HCC candidates with pulmonary complications of cirrhosis or cholangiocarcinoma have substantially higher risk of dying before receiving liver transplant; these candidates may merit increased allocation priority.

Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning.

Accurate mortality risk quantification is crucial for the management of hepatocellular carcinoma (HCC); however, most scoring systems are subjective. To develop and independently validate a machine learning mortality risk quantification method for HCC patients using standard-of-care clinical data and liver radiomics on baseline magnetic resonance imaging (MRI). This retrospective study included all patients with multiphasic contrast-enhanced MRI at the time of diagnosis treated at our institution. Patients were censored at their last date of follow-up, end-of-observation, or liver transplantation date. The data were randomly sampled into independent cohorts, with 85% for development and 15% for independent validation. An automated liver segmentation framework was adopted for radiomic feature extraction. A random survival forest combined clinical and radiomic variables to predict overall survival (OS), and performance was evaluated using Harrell's C-index. A total of 555 treatment-naïve HCC patients (mean age, 63.8 years ± 8.9 [standard deviation]; 118 females) with MRI at the time of diagnosis were included, of which 287 (51.7%) died after a median time of 14.40 (interquartile range, 22.23) months, and had median followed up of 32.47 (interquartile range, 61.5) months. The developed risk prediction framework required 1.11 min on average and yielded C-indices of 0.8503 and 0.8234 in the development and independent validation cohorts, respectively, outperforming conventional clinical staging systems. Predicted risk scores were significantly associated with OS (p < .00001 in both cohorts). Machine learning reliably, rapidly, and reproducibly predicts mortality risk in patients with hepatocellular carcinoma from data routinely acquired in clinical practice. Precision mortality risk prediction using routinely available standard-of-care clinical data and automated MRI radiomic features could enable personalized follow-up strategies, guide management decisions, and improve clinical workflow efficiency in tumor boards. • Machine learning enables hepatocellular carcinoma mortality risk prediction using standard-of-care clinical data and automated radiomic features from multiphasic contrast-enhanced MRI. • Automated mortality risk prediction achieved state-of-the-art performances for mortality risk quantification and outperformed conventional clinical staging systems. • Patients were stratified into low, intermediate, and high-risk groups with significantly different survival times, generalizable to an independent evaluation cohort.

Global trends in hepatitis C-related hepatocellular carcinoma mortality: A public database analysis (1999-2019).

Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma (HCC). However, there are marked variations in the incidence and mortality rates of HCC across different geographical regions. With the advent of new widely available treatment modalities, such as direct-acting antivirals, it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis C. Furthermore, gender disparities in HCC mortality related to Hepatitis C are a crucial, yet underexplored aspect that adds to the disease's global impact. While some studies shed light on gender-specific trends, there is a lack of comprehensive data on global and regional mortality rates, particularly those highlighting gender disparities. This gap in knowledge hinders the development of targeted interventions and resource allocation strategies. To understand the global and regional trends in Hepatitis C-related HCC mortality rates from 1990 to 2019, along with gender disparities. We utilized the Global Burden of Disease database, a comprehensive repository for global health metrics to age-standardized mortality rates due to Hepatitis C-related HCC from 1999 to 2019. Rates were evaluated per 100000 population and assessed by World Bank-defined regions. Temporal trends were determined using Joinpoint software and the Average Annual Percent Change (AAPC) method, and results were reported with 95% confidence intervals (CI). From 1990 to 2019, overall, there was a significant decline in HCC-related mortality rates with an AAPC of -0.80% (95%CI: -0.83 to -0.77). Females demonstrated a marked decrease in mortality with an AAPC of -1.06% (95%CI: -1.09 to -1.03), whereas the male cohort had a lower AAPC of -0.52% (95%CI: -0.55 to -0.48). Regionally, East Asia and the Pacific demonstrated a significant decline with an AAPC of -2.05% (95%CI: -2.10 to -2.00), whereas Europe and Central Asia observed an uptrend with an AAPC of 0.72% (95%CI: 0.69 to 0.74). Latin America and the Caribbean also showed an uptrend with an AAPC of 0.06% (95%CI: 0.02 to 0.11). In the Middle East and North Africa, the AAPC was non-significant at 0.02% (95%CI: -0.09 to 0.12). North America, in contrast, displayed a significant upward trend with an AAPC of 2.63% (95%CI: 2.57 to 2.67). South Asia (AAPC -0.22%, 95%CI: -0.26 to -0.16) and Sub-Saharan Africa (AAPC -0.14%, 95%CI: -0.15 to -0.12) trends significantly declined over the study period. Our study reports disparities in Hepatitis C-related HCC mortality between 1999 to 2019, both regionally and between genders. While East Asia and the Pacific regions showed a promising decline in mortality, North America has experienced a concerning rise in mortality. These regional variations highlight the need for healthcare policymakers and practitioners to tailor public health strategies and interventions. The data serves as a call to action, particularly for regions where mortality rates are not improving, emphasizing the necessity for a nuanced, region-specific approach to combat the global challenge of HCC secondary to Hepatitis C.

Abstract 2637: Super-enhancer-related m6A modification promotes immune escape in hepatocellular carcinoma associated with metabolic dysfunction-associated fatty liver disease via CCL4 signaling pathway inhibition

Abstract The incidence and mortality rates of hepatocellular carcinoma caused by metabolic dysfunction-associated fatty liver disease (MAFLD) have been increasing in recent decades, emphasizing the urgent need for new therapeutic approaches. Emerging evidence suggests that approximately 80% of super-enhancer RNAs (seRNAs) undergo selective m6A modifications. seRNA and m6A modifications have been implicated in the progression of various cancers, making them potential targets for therapeutic intervention. Based on our previous research, we hypothesize that the lack of m6A modification on the super-enhancer of CCL4 may contribute to the reduced expression of the CCL4 gene in HCC.To validate our hypothesis, we employ nano-chromatin immunoprecipitation combined with high-throughput sequencing (nano-ChIP-seq), m6A-seq (m6A-seq), single-cell RNA sequencing (scRNA-seq) on multiple models including clinical samples, cell lines, and mouse models. Interestingly, we have made a significant discovery that overexpression of CCL4 in tumor cells enhances the infiltration of CD8+ T cells, which are crucial for anti-tumor immune responses. In contrast, normal tissue cells undergo m6A modification on the CCL4 seRNAs, while this modification is notably absent in cancerous tissue. Consequently, the reduced expression of CCL4 could impair the tumor-killing capabilities of CD8+ T cells and facilitate immune evasion by the tumor.Furthermore, our results shed light on the underlying molecular mechanisms involving super-enhancers and m6A modifications in the regulation of immune escape in MAFLD HCC. We identify the specific super-enhancer and downstream regulatory genes influenced by m6A modification in MAFLD-associated HCC, providing valuable insights and novel targets for the treatment of this condition. Citation Format: Liangliang Xu. Super-enhancer-related m6A modification promotes immune escape in hepatocellular carcinoma associated with metabolic dysfunction-associated fatty liver disease via CCL4 signaling pathway inhibition [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2637.

Abstract 2694: The role of innate lymphoid cells and innate like T cells in hepatocellular carcinoma

Abstract The major focus of cancer immunotherapy has been on conventional T cells due to their unique recognition of specific peptide antigens. Despite advances in the cancer immunotherapy field, including the use of atezolizumab and bevacizumab as first-line therapy for unresectable hepatocellular carcinoma (HCC), the overall mortality rate of HCC continues to rise. Innate lymphoid cells (ILC) and innate-like T cells (ILTC) are broadly categorized within the innate lymphoid population as playing an important role in inflammation, tissue repair and immune tolerance. Their ability to react rapidly to stimulants in their local tissue environment as well as to recruit and activate a variety of other immune cells makes these cells attractive targets for anti-tumor therapy. However, previous studies looking at ILCs and ILTCs in cancer have revealed both pro- and anti-tumor functions. Furthermore, the complex interplay between these cell populations in the tumor microenvironment is not well understood, particularly over the natural course of tumor development. In this study, we aim to better elucidate the role of ILC and ILTC populations in HCC progression in terms of both their kinetics and role as potential therapeutic targets. We performed hydrodynamic tail vein injections in mice with two different plasmid combinations to alter expression of commonly mutated oncogenes and tumor suppressors in human HCC (MYC;TP53 and MYC;CTNNB1). Histologic analysis of the livers was performed to determine appropriate time points to assess ILC and ILTC populations. We then designed a comprehensive 29-plex spectral flow panel to assess broad kinetic changes in the frequency of ILC, ILTC, and conventional T cell populations. We show that in early time points (4-7 days post-injection) when neoplastic transformation of hepatocytes has already occurred, mucosal-associated invariant T (MAIT) cells, group 1 ILCs, ILC2s, and ILC3s expand in frequency for both tumor models. Cytokine analysis shows a generalized decreased trend across timepoints in effector cytokine production in MAITs and group 1 ILCs, suggesting gradual dysfunction over time. Taken together, these preliminary findings show that ILC and ILTC populations expand early during tumor progression but gradually decrease in functionality with tumor progression. Citation Format: Patrick Huang, Benjamin Ruf, Rajiv Trehan, Dana Soika, Chi Ma, Tim F. Greten, Firouzeh Korangy. The role of innate lymphoid cells and innate like T cells in hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2694.

Advances in the Pathogenesis of Metabolic Liver Disease-Related Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the sixth most common cancer globally and the primary cause of death in cancer cases, with significant public health concern worldwide. Despite the overall decline in the incidence and mortality rates of HCC in recent years in recent years, the emergence of metabolic liver disease-related HCC is causing heightened concern, especially in countries like the United States, the United Kingdom, and P.R. China. The escalation of metabolic liver disease-related HCC is attributed to a combination of factors, including genetic predisposition, lifestyle choices, and changes in the living environment. However, the pathogenesis of metabolic liver disease-associated HCC remains imperfect. In this review, we encapsulate the latest advances and essential aspects of the pathogenesis of metabolic liver disease-associated HCC, including alcoholic liver disease (ALD), metabolic dysfunction-associated steatotic liver disease (MASLD), and inherited metabolic liver diseases.

Exploring the role of adipokines in exercise-induced inhibition of tumor growth

The integration of exercise prescriptions into cancer adjuvant therapy presents challenges stemming from the ambiguity surrounding the precise mechanism through which exercise intervention mitigates the risk of hepatocellular carcinoma (HCC) mortality and recurrence. Elucidation of this specific mechanism has substantial social and clinical implications. In this study, tumor-bearing mice engaged in voluntary wheel running exhibited a notable decrease in tumor growth, exceeding 30%. Microarray analysis revealed an upregulation of cytokine-related pathways as a potential explanation for this effect. The inclusion of granulocyte-macrophage colony-stimulating factor (GM-CSF) was found to enhance tumor cell proliferation, while the absence of GM-CSF resulted in a marked inhibition of tumor cell growth. The findings suggest that exercise-induced serum from mice can impede the proliferation of mouse tumor cells, with the adipokine chemerin inhibiting the growth factor GM-CSF. Additionally, exercise was found to stimulate chemerin secretion by brown adipose tissue. Chemerin suppression led to a reduction in the inhibition of tumor cell proliferation. The results of this study suggest that exercise may stimulate the release of adipokines from brown adipose tissue, transport them through the blood to the distant tumor microenvironment, and downregulate GM-CSF expression, alleviating tumor immunosuppression in the tumor microenvironment, thereby inhibiting at HCC progression. These findings provide a theoretical basis for incorporating exercise prescription into cancer treatment.

Liver resection in selective hepatocellular carcinoma with Vp3 or Vp4 portal vein tumor thrombosis improves prognosis.

Hepatocellular carcinoma (HCC) tumor thrombi located in the first branch of the portal vein (Vp3) or in the main portal trunk (Vp4) are associated with poor prognosis. This study aimed to investigate the clinicopathological characteristics and risk factors for HCC recurrence and mortality following liver resection (LR) in patients with Vp3 or Vp4 HCC. The study included 64 patients who underwent LR for HCC with Vp3 or Vp4 portal vein tumor thrombosis (PVTT). Fifty-eight patients (90.6%) had Vp3 PVTT, whereas the remaining six patients exhibited Vp4 PVTT. The median tumor size measured 8 cm, with approximately 36% of patients presented with multiple tumors. Fifty-four patients (84.4%) underwent open LR, whereas 10 patients underwent laparoscopic LR. In the Vp4 cases, combined LR and tumor thrombectomy were performed. The 3-year cumulative disease-free survival rate was 42.8% for the Vp3 group and 22.2% for the Vp4 group. The overall survival (OS) rate at 3 years was 47.9% for the Vp3 group and 60.0% for the Vp4 group. Intrahepatic metastasis has been identified as an important contributor to HCC recurrence. High hemoglobin levels are associated with high mortality. LR is a safe and effective treatment modality for selected patients with Vp3 or Vp4 HCC PVTT. This suggests that LR is a viable option for these patients, with favorable outcomes in terms of OS.

Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence.

Hepatocellular carcinoma (HCC) accounts for 75% of primary liver tumors. Controlling risk factors associated with its development and implementing screenings in risk populations does not seem sufficient to improve the prognosis of these patients at diagnosis. The development of a predictive prognostic model for mortality at the diagnosis of HCC is proposed. In this retrospective multicenter study, the analysis of data from 191 HCC patients was conducted using machine learning (ML) techniques to analyze the prognostic factors of mortality that are significant at the time of diagnosis. Clinical and analytical data of interest in patients with HCC were gathered. Meeting Milan criteria, Barcelona Clinic Liver Cancer (BCLC) classification and albumin levels were the variables with the greatest impact on the prognosis of HCC patients. The ML algorithm that achieved the best results was random forest (RF). The development of a predictive prognostic model at the diagnosis is a valuable tool for patients with HCC and for application in clinical practice. RF is useful and reliable in the analysis of prognostic factors in the diagnosis of HCC. The search for new prognostic factors is still necessary in patients with HCC.

Single-Cell RNA Sequencing Revealed That the Enrichment of TPI1+ Malignant Hepatocytes Was Linked to HCC Metastasis and Immunosuppressive Microenvironment.

Tumor metastasis is the leading cause of high mortality in hepatocellular carcinoma (HCC). The metastasis-related HCC microenvironment is characterized by high heterogeneity. Single-cell RNA sequencing (scRNA-seq) may aid in determining specific cell clusters involved in regulating the immune microenvironment of HCC. The scRNA-seq data of 10 HCC samples were collected from the Gene Expression Omnibus (GEO) database GSE124395. Correlations between key gene expression and clinicopathological data were determined using public databases. HCC tissues and matched tumor-adjacent and normal tissue samples were obtained by surgical resection at Sichuan Cancer Hospital. Immune cell infiltration analysis was performed and verified by immunohistochemistry and immunofluorescent staining. Nine malignant hepatocyte clusters with different marker genes and biological functions were identified. C3_Hepatocyte-SERF2 and C6_Hepatocyte-IL13RA2 were mainly involved in the regulation of the immune microenvironment, which was also a significant pathway in regulating HCC metastasis. Key genes in malignant hepatocyte clusters that associated with HCC metastasis were further screened by LASSO regression analysis. TPI1, a key gene in C6_Hepatocyte-IL13RA2 and HCC metastasis, could participate in regulating the HCC immune microenvironment in The Cancer Genome Atlas (TCGA) and Tumor Immune Estimation Resource (TIMER) databases. Moreover, immunohistochemistry analysis demonstrated that TPI1 expression was positively correlated with HCC metastasis and poor prognosis, while negatively correlated with CD8+ T cell infiltration. The negative correlation between TPI1 expression and CD8+ T cell infiltration was further confirmed by immunofluorescence staining. In summary, a cluster of TPI1+ malignant hepatocytes was associated with the suppression of CD8+ T cell infiltration and HCC metastasis, providing novel insights into potential biomarkers for immunotherapy in HCC.

Hepatocellular Carcinoma Incidence and Mortality in the USA by Sex, Age, and Race: A Nationwide Analysis of Two Decades.

While the incidence rates of hepatocellular carcinoma (HCC) are increasing, there are limited comprehensive data on demographic-specific incidence and mortality trends in the USA. We aimed to evaluate recent trends in HCC incidence and mortality among different demographic groups in the USA. Age-adjusted HCC incidence rates were calculated from the Centers for Disease Control's United States Cancer Statistics database, which combines incidence data on newly diagnosed cancer cases and covers approximately 98% of the population in the USA. Additionally, age-adjusted HCC mortality rates were obtained from the Centers for Disease Control's National Center for Health Statistics database, which offers comprehensive coverage spanning nearly 100% of deaths attributed to HCC in the USA. Rates were stratified by sex, age (older [≥55 years] and younger [<55 years] adults), race and ethnicity (Non-Hispanic White, Non-Hispanic Black, Hispanic, Non-Hispanic Asian/Pacific Islander, and Non-Hispanic American Indian/Alaska Native), and tumor stage at diagnosis (early and late). Annual and average annual percentage change (AAPC) were calculated using joinpoint regression. A sex-specific pairwise comparison was conducted. Between 2001 and 2020, there were 467,346 patients diagnosed with HCC (26.0% women), with increasing incidence in both sexes without significant difference (p=0.65). In younger adults (78,169 patients), the incidence decreased in men but not in women (AAPC difference=-2.39, p=0.002). This was seen in various racial and ethnic groups, mostly driven by early-stage tumors (AAPC difference=-2.65, p=0.02). There were 329,973 deaths attributed to HCC between 2000 and 2020 (28.4% women). In younger adults (43,093 deaths), mortality decreased in men at a greater rate than in women (AAPC difference=1.61, p=0.007). This was seen in various racial and ethnic groups, most notably in non-Hispanic American Indian/Alaska Natives (AAPC difference=-4.51, p=0.01). Nationwide USA data, covering nearly all HCC cases, show an increasing incidence and mortality over the last two decades. In younger adults, there was a decreasing incidence in men but not in women, due to early-stage tumors. Mortality improved in younger men at a greater rate than in women, especially in Non-Hispanic American Indian/Alaska Natives. Future studies are warranted to identify the risk factors associated with the occurrence and outcomes of HCC in demographic-specific populations, especially younger women.