A multimodal atlas of hepatocellular carcinoma reveals convergent evolutionary paths and 'bad apple' effect on clinical trajectory.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) is a highly fatal cancer characterized by high intra-tumor heterogeneity (ITH). A panoramic understanding of its tumor evolution, in relation to its clinical trajectory, may provide novel prognostic and treatment strategies. METHODS: Through the Asia-Pacific Hepatocellular Carcinoma trials group (NCT03267641), we recruited one of the largest prospective cohorts of patients with HCC, with over 600 whole genome and transcriptome samples from 123 treatment-naïve patients. RESULTS: Using a multi-region sampling approach, we revealed seven convergent genetic evolutionary paths governed by the early driver mutations, late copy number variations and viral integrations, which stratify patient clinical trajectories after surgical resection. Furthermore, such evolutionary paths shaped the molecular profiles, leading to distinct transcriptomic subtypes. Most significantly, although we found the coexistence of multiple transcriptomic subtypes within certain tumors, patient prognosis was best predicted by the most aggressive cell fraction of the tumor, rather than by overall degree of transcriptomic ITH level - a phenomenon we termed the 'bad apple' effect. Finally, we found that characteristics throughout early and late tumor evolution provide significant and complementary prognostic power in predicting patient survival. CONCLUSIONS: Taken together, our study generated a comprehensive landscape of evolutionary history for HCC and provides a rich multi-omics resource for understanding tumor heterogeneity and clinical trajectories. IMPACT AND IMPLICATIONS: This prospective study, utilizing comprehensive multi-sector, multi-omics sequencing and clinical data from surgically resected hepatocellular carcinoma (HCC), reveals critical insights into the role of tumor evolution and intra-tumor heterogeneity (ITH) in determining the prognosis of HCC. These findings are invaluable for oncology researchers and clinicians, as they underscore the influence of distinct evolutionary paths and the 'bad apple' effect, where the most aggressive tumor fraction dictates disease progression. These insights not only enhance prognostic accuracy post-surgical resection but also pave the way for personalized treatment strategies tailored to specific tumor evolutionary and transcriptomic profiles. The coexistence of multiple subtypes within the same tumor prompts a re-appraisal of the utilities of depending on single samples to represent the entire tumor and suggests the need for clinical molecular imaging. This research thus marks a significant step forward in the clinical understanding and management of HCC, underscoring the importance of integrating tumor evolutionary dynamics and multi-omics biomarkers into therapeutic decision-making. CLINICAL TRIAL NUMBER: NCT03267641 (Observational cohort).

Global Prevalence, Clinical Characteristics, Surveillance, Treatment Allocation, and Outcomes of Alcohol-Associated Hepatocellular Carcinoma.

BACKGROUND: Although the burden of alcohol-associated hepatocellular carcinoma (HCC) is increasing with rising alcohol consumption, clinical presentation and outcomes of alcohol-associated HCC have not been systematically assessed. We aimed to determine the prevalence, clinical characteristics, surveillance rates, treatment allocation, and outcomes of alcohol-associated HCC. METHODS: Medline and Embase were searched from inception to January 2023. Proportional data were analyzed using a generalized linear mixed model. The odds ratio (OR) or mean difference comparing alcohol-associated HCC and other causes was obtained with pairwise meta-analysis. Survival outcomes were evaluated using a pooled analysis of hazard ratios. RESULTS: Of 4824 records identified, 55 articles (86,345 patients) were included. Overall, 30.4% (95% confidence interval [CI], 24.0%-37.7%) of HCC was alcohol associated, with the highest proportion in Europe and the lowest in the Americas. People with alcohol-associated HCC were more likely male but were similar in age and comorbidities compared with other causes. A total of 20.8% (95% CI, 11.4%-34.9%) of people with alcohol-associated HCC underwent surveillance compared with 35.0%, 31.6%, and 21.4% in hepatitis B virus, hepatitis C virus, and metabolic dysfunction-associated HCC, respectively (all P < .05). Alcohol-associated HCC had a lower likelihood of Barcelona Clínic Liver Cancer C stage (0/A) (OR, 0.7; 95% CI, 0.6-0.9; P = .018) and curative therapy (24.5% vs 33.9%; OR, 0.7; 95% CI, 0.5-0.9; P = .003), and higher mortality (HR, 1.3; 95% CI, 1.1-1.5; P = .012) when compared with other causes. CONCLUSIONS: Alcohol-associated HCC is associated with lower surveillance rates, more advanced BCLC stage, lower likelihood of receiving curative therapy, and poorer survival. These data call for measures to reduce heavy alcohol consumption and improve strategies for effective HCC surveillance in high-risk individuals.

Clinical Service Incorporating Mobile Technology on Weight Loss in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Translation From Research Trial.

BACKGROUND: The prevalence and healthcare cost of metabolic dysfunction-associated steatotic liver disease (MASLD) has increased alongside the epidemic surge in obesity and Type 2 diabetes. Weight loss through lifestyle modification remains the primary effective therapy for MASLD. Incorporation of mobile technology in lifestyle interventions has been previously found to be efficacious and cost-effective in facilitating weight loss. However, there is a paucity of studies that have successfully translated lifestyle research into clinical service for weight loss to alleviate disease burden. Our study aimed to describe the process of translating a mobile technology-enabled trial into a tertiary hospital outpatient dietetics service for patients with MASLD. METHODS: The Iowa Model of Evidence-Based Practice to Improve Quality Care was used as a framework for this paper to guide implementation at the organizational level. RESULTS: Regular engagement of key operational staff and the hospital management team facilitated open discussions of the challenges faced and enabled rapid implementation of strategies that contributed to the smooth piloting of the service. A service adoption rate of 81% was achieved. Preliminary outcome evaluation found that the percentage of patients achieving ≥ 5% weight loss from baseline at 6 months was comparable at 54% and 52% for the service and trial groups, respectively. CONCLUSIONS: Evaluation of the implementation process found that a hybrid model of care (in-person consultation supplemented with app coaching) preserved interpersonal connections while maximizing the convenience and scalability of mobile app-enabled service. Although high digital acceptance and adoption rates propelled by COVID-19-supported telehealth, it is prudent to assess patient's access to technology and digital literacy and offer resources to help them benefit from telehealth services.

Quantitative HBeAg is a strong predictor of HBeAg loss among patients receiving pegylated interferon.

BACKGROUND: HBeAg loss is an important endpoint for antiviral therapy in chronic hepatitis B (CHB), however there are no reliable biomarkers to identify patients who will respond to the addition of pegylated interferon to nucleos(t)ide analogue (NA) therapy. AIM: To evaluate the use of serum biomarkers to predict HBeAg loss. METHODS: HBeAg positive CHB participants on NAs who switched-to or added-on 48 weeks pegylated interferon alpha2b (clinicaltrial.gov NCT01928511) were evaluated at week 72 for HBeAg loss. The predictive ability of qHBeAg, qHBsAg, HBV RNA and clinical variables for HBeAg loss were investigated. RESULTS: HBeAg loss occurred in 15/55 (27.3%) participants who completed 48 weeks of pegylated interferon. There was a lower baseline qHBeAg (1.18 IU/mL [2.27] versus 10.04 IU/mL [24.87], P = 0.007) among participants who lost HBeAg. Baseline qHBeAg (OR = 0.15, 95% CI 0.03-0.66, P = 0.01) and detectable HBV DNA at baseline (OR = 25.00, 95% CI 1.67-374.70, P = 0.02) were independent predictors of HBeAg loss. In addition, on-treatment qHBeAg was also a strong predictor of HBeAg loss (OR = 0.39, 95% CI 0.18-0.81, P = 0.012). The models combining detectable baseline HBV DNA with baseline (C-statistic 0.82) and on-treatment (C-statistic 0.83) had good accuracy for predicting HBeAg loss. A rise in qHBeAg ≥ 10 IU/ml was a predictor of flare (ALT ≥ 120 U/ml) on univariable analysis but not after adjustment for treatment arm. CONCLUSIONS: Baseline and on-treatment qHBeAg is a useful biomarker that can identify participants on NA therapy who may benefit from adding or switching to pegylated interferon.

Antiviral Therapy Utilization and 10-Year Outcomes in Resected Hepatitis B Virus- and Hepatitis C Virus-Related Hepatocellular Carcinoma.

PURPOSE: There are limited data on antiviral treatment utilization and its impact on long-term outcomes of hepatitis B virus (HBV)- and hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) after hepatic resection. We aimed to determine the utilization and impact of antivirals in HBV- and HCV-related HCC. METHODS: This cohort study included 1,906 participants (1,054 HBV-related HCC and 852 HCV-related HCC) from 12 international sites. All participants had HBV- or HCV-related HCC and underwent curative surgical resection. The primary outcome was the utilization of antiviral therapy, and the secondary outcome was long-term overall survival (OS). RESULTS: The mean (±standard deviation [SD]) age was 62.1 (±11.3) years, 74% were male, and 84% were Asian. A total of 47% of the total cohort received antiviral therapy during a mean (±SD) follow-up of 5.0 (±4.3) years. The overall antiviral utilization for participants with HBV-related HCC was 57% and declined over time, from 65% before 2010, to 60% from 2010 to 2015, to 47% beyond 2015, P < .0001. The overall utilization of antivirals for HCV-related HCC was 35% and increased over time, from 24% before 2015 to 74% from 2015 and beyond, P < .0001. The 10-year OS was lower in untreated participants for both HBV (58% v 61%) and HCV participants (38% v 82%; both P < .0001). On multivariable Cox regression analysis adjusted for relevant confounders, antiviral therapy initiated before or within 6 months of HCC diagnosis was independently associated with lower mortality in both HBV- (adjusted hazard ratio [aHR], 0.60 [95% CI, 0.43 to 0.83]; P = .002) and HCV-related HCC (aHR, 0.18 [95% CI, 0.11 to 0.31]; P < .0001). CONCLUSION: Antiviral therapy is associated with long-term survival in people with HBV- or HCV-related HCC who undergo curative resection but is severely underutilized.

GATA4 downregulation enhances CCL20-mediated immunosuppression in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a deadly cancer with a high global mortality rate, and the downregulation of GATA binding protein 4 (GATA4) has been implicated in HCC progression. In this study, we investigated the role of GATA4 in shaping the immune landscape of HCC. METHODS: HCC tumor samples were classified into "low" or "normal/high" based on GATA4 RNA expression relative to adjacent non-tumor liver tissues. The immune landscapes of GATA4-low and GATA4-normal/high tumors were analyzed using cytometry by time-of-flight, bulk/spatial transcriptomic analyses and validated by multiplex immunofluorescence. RESULTS: GATA4-low tumors displayed enrichment in exhausted programmed cell death protein 1+ T cells, immunosuppressive regulatory T cells, myeloid-derived suppressor cells, and macrophages, highlighting the impact of GATA4 downregulation on immunosuppression. Spatial and bulk transcriptomic analyses revealed a negative correlation between GATA4 and C-C Motif Chemokine Ligand 20 (CCL20) expression in HCC. Overexpressing GATA4 confirmed CCL20 as a downstream target, contributing to an immunosuppressive tumor microenvironment, as evidenced by increased regulatory T cells and myeloid-derived suppressor cells in CCL20-high tumors. Lastly, the reduced expression of GATA4 and higher expression of CCL20 were associated with poorer overall survival in patients with HCC, implicating their roles in tumor progression. CONCLUSIONS: Our study reveals that GATA4 downregulation contributes to an immunosuppressive microenvironment, driven by CCL20-mediated enrichment of regulatory T cells and myeloid-derived suppressor cells in HCC. These findings underscore the critical role of GATA4 reduction in promoting immunosuppression and HCC progression.

Singapore's experience in managing the COVID-19 pandemic: Key lessons from the ground.

Singapore managed the COVID-19 pandemic in the past three years and gleaned valuable lessons on patient management when the public healthcare system was inundated with COVID-19 patients. There were several initiatives, which included setting up of community treatment facilities to help hospitals manage in-patient loads that did not require acute monitoring, leveraging telemedicine, and developing heuristics to sort patients based on their clinical disposition to various care pathways and to effectively manage patients of different medical needs. These initiatives were implemented in the second year of the epidemic in 2021 and did not include the dormitory-based migrant workers and migrant workers in the construction, maritime and production sectors who were under the care of the Assurance, Care and Engagement Group (ACE) in the Ministry of Manpower that had its own set of treatment management measures. The different care pathways ensured that patients received appropriate levels of care and allowed healthcare facilities to focus on more acute cases. In 2022 alone, 23,159 patients were discharged from community treatment facilities against the background of 1.9 million COVID-19 patients. These initiatives would not be possible without the oversight of an advisory board comprising senior leadership from the healthcare clusters and the Ministry of Health to align clinical governance with medical policies, and prompt and immense support from medical specialist panels. The strong public-private partnership forged in the process was instrumental in the successful operation of community facilities and implementation of patient care protocols, coupled with harnessing information technology and leveraging on emerging data to refine care protocols.

Global Prevalence, Risk Factors, and Outcomes of Depression After Liver Transplant: A Systematic Review and Meta-analysis.

Background and aims: With existing literature focusing on general quality of life, the magnitude and impact of depression among recipients after liver transplantation (LT) is unclear. Hence, we aim to evaluate the prevalence, risk factors, and outcomes for recipient-related depression after LT. Methods: Medline and Embase were searched. Single-arm analysis was pooled using the generalized linear mixed model, and logistic regression was performed to analyze risk factors. Pairwise comparative meta-analysis in odds ratio was conducted for binary outcomes. Results: Of 1069 abstracts, 189 articles underwent full-text review before the inclusion of 48 articles. Pooled depression rate among 5170 recipients was 24.52% (confidence interval [CI]: 19.46%-30.41%). Depression was most prevalent in Asia compared with other geographical regions. Younger age at transplantation (P = .019) and university education (P = .051) were protective against depression. However, those transplanted for alcoholic liver disease (odds ratio: 1.14, CI: 1.10-1.18, P ≤ 0.001) were more likely to be depressed. Depression resulted in increased odds of mortality (odds ratio: 1.82, CI: 1.08-3.07, P = .04), graft loss (P = .03), and graft rejection (P = .01). Conclusion: Depression is highly prevalent after LT and may be associated with increased mortality and poorer graft outcomes. More emphasis is needed on the screening of depression among higher risk recipients.