Predictors of five-year survival among patients with hepatocellular carcinoma in the United States: an analysis of SEER-Medicare

Real-World Effectiveness of All-Oral Direct-Acting Antivirals in Patients With Hepatitis C Virus-Related HCC

The association between direct-acting antiviral (DAA) treatment and hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) is currently unclear. Hence, we aim to assess the association between DAA treatment and mortality rate among Medicare beneficiaries with HCV-related HCC. This retrospective cohort study screened 19,813 adults in 2013-2019 Surveillance, Epidemiology, and End Results data linked with Medicare data. Patients with HCV-related HCC initiating DAA therapy after their first HCC diagnosis were compared with patients with HCV-related HCC who received no HCV treatment. After inverse probability treatment weighting, multivariable Cox proportional hazards models compared mortality rates between the groups. Subgroup and sensitivity analyses were based on HCC stage (early vs. advanced), type of HCC treatment (curative, palliative, none), and DAA treatment duration. In total 3,777 patients with HCV-related HCC were identified (mean age: 68.2 years, 75.2% male, 61.8% White), of whom 19% initiated DAA therapy. Crude incidence mortality rates were 17.9 and 90.7 deaths per 100 person-years in the DAA and HCV-untreated groups, respectively. Cox regression models indicated that DAA therapy was associated with decreased risk of all-cause mortality (adjusted hazard ratio, 0.33; 95% CI 0.31-0.36). Median survival time was 45.7 (95% CI 40.9-57.9) months in the DAA group and 7.7 (95% CI 7.3-8.2) months in the HCV-untreated group (P < 0.001). All subgroup and sensitivity analyses were consistent with the main analyses. DAA therapy was associated with survival benefits for patients with HCV-related HCC regardless of the stage or type of HCC treatment and should not be withheld from this population of Medicare beneficiaries.

Development and validation of a dynamic prognostic nomogram for conditional survival in hepatocellular carcinoma: an analysis from the Korea Liver Cancer Registry

Compared to overall survival, conditional survival is a more relevant measure of prognosis in surviving patients over time. This study developed and validated a nomogram-based dynamic prognostic model to predict the conditional survival estimates of patients with hepatocellular carcinoma (HCC) through an analysis of a nationwide cancer registry. This retrospective cohort study included 2492 patients with HCC registered in the Korea Liver Cancer Registry. Patients underwent hepatic resection (HR) from 2008 to 2017, were followed up until December 2019, and were divided into development and validation cohorts. Univariate and multivariate Cox regression analyses were conducted to determine the risk factors for conditional survival of patients who underwent HR. The patients were scored based on the Cox regression coefficients; the nomogram was predicted by calculating the survival probability with Cox model. Our dynamic prognostic model nomogram for predicting conditional overall survival demonstrated Harrell's C-index of 0.622 and 0.674 in the development and validation sets; for conditional disease-specific survival, it was 0.623 and 0.686 in the development and validation sets. The prediction power of the model is applicable in clinical practice. Factors incorporated in our nomogram included age, albumin, the ADV score, lymph node metastasis, and T stage in American Joint Commission on Cancer staging system. We developed and validated a nomogram to predict conditional survival estimates for overall survival and disease-specific survival. The proposed nomogram incorporating the ADV score presents a more accurate and useful prognostic prediction for patients with HCC who received HR.

Cost-effectiveness of an outreach program for HCC screening in patients with cirrhosis: a microsimulation modeling study

Background

Patients with cirrhosis are at high risk for hepatocellular carcinoma (HCC), but few undergo guideline-recommended semi-annual screening. Randomized clinical trials (RCTs) demonstrate that mailed outreach can increase screening versus visit-based screening. We estimated the costs and cost-effectiveness of an outreach strategy versus usual care.

Methods

We built a 10-year Markov chain Monte Carlo microsimulation model to conduct a cost-effectiveness analysis comparing a mailed outreach program versus usual care for HCC screening in a cohort of 10,000 patients with cirrhosis. Model inputs were based on literature review (2005-current), and costs were based on inflation-adjusted estimates from Surveillance, Epidemiology, and End Results (SEER)-Medicare claims data. We conducted one-way sensitivity analyses for HCC incidence, outreach costs, efficacy of the outreach strategy to increase screening, and efficacy of curative (versus palliative) HCC treatments.

Findings

Mailed outreach was estimated to cost $32.45 per patient in the first year and $21.90 per patient in subsequent years. The outreach program increased the number of HCC patients detected at an early stage by 48.4% and increased quality-adjusted life years (QALYs) by 300. Cost savings from these increases offset the costs of mailed outreach. Mailed outreach remained cost-effective across a wide range of HCC incidence rates, outreach costs, efficacy of the outreach strategy to increase screening, and the efficacy of curative HCC treatments. Annual out-of-pocket patient costs in the outreach arm were low at $13 per year.

Interpretation

Mailed outreach to encourage HCC screening in patients with cirrhosis dominates usual care and should be considered for implementation in routine practice.

Funding

National Cancer Institute and Cancer Prevention Research Institute of Texas.

Multidepth quantitative analysis of liver cell viscoelastic properties: Fusion of nanoindentation and finite element modeling techniques

Liver cells are the basic functional unit of the liver. However, repeated or sustained injury leads to structural disorders of liver lobules, proliferation of fibrous tissue and changes in structure, thus increasing scar tissue. Cellular fibrosis affects tissue stiffness, shear force, and other cellular mechanical forces. Mechanical force characteristics can serve as important indicators of cell damage and cirrhosis. Atomic force microscopy (AFM) has been widely used to study cell surface mechanics. However, characterization of the deep mechanical properties inside liver cells remains an underdeveloped field. In this work, cell nanoindentation was combined with finite element analysis to simulate and analyze the mechanical responses of liver cells at different depths in vitro and their internal responses and stress diffusion distributions after being subjected to normal stress. The sensitivities of the visco-hyperelastic parameters of the finite element model to the effects of the peak force and equilibrium force were compared. The force curves of alcohol-damaged liver cells at different depths were measured and compared with those of undamaged liver cells. The inverse analysis method was used to simulate the finite element model in vitro. Changes in the parameters of the cell model after injury were explored and analyzed, and their potential for characterizing hepatocellular injury and related treatments was evaluated. RESEARCH HIGHLIGHTS: This study aims to establish an in vitro hyperelastic model of liver cells and analyze the mechanical changes of cells in vitro. An analysis method combining finite element analysis model and nanoindentation was used to obtain the key parameters of the model. The multi-depth mechanical differences and internal structural changes of injured liver cells were analyzed.

Cost-Effectiveness of a Biomarker-Based Screening Strategy for Hepatocellular Carcinoma in Patients with Cirrhosis

Introduction

Given suboptimal performance of ultrasound-based surveillance for early hepatocellular carcinoma (HCC) detection in patients with cirrhosis, there is interest in alternative surveillance strategies, including blood-based biomarkers. We aimed to evaluate the cost-effectiveness of biomarker-based surveillance in patients with cirrhosis.

Methods

We constructed a decision-analytic model to compare ultrasound/alpha-fetoprotein (AFP) and biomarker-based surveillance strategies in 1,000,000 simulated patients with compensated cirrhosis. Model inputs for adherence, benefits, and harms of each strategy were based on literature review, and costs were derived from the Medicare fee schedule. Primary outcomes were quality-adjusted life-years (QALY) and incremental cost-effectiveness ratio (ICER) of the surveillance strategies, with cost-effectiveness assessed at a threshold of USD 150,000 per QALY. We performed sensitivity analyses for HCC incidence, test performance characteristics, surveillance adherence, and biomarker costs.

Results

In the base case, both ultrasound/AFP and biomarker-based surveillance were cost-effective versus no surveillance, with ICERs of USD 105,620, and USD 101,295, per QALY, respectively. Biomarker-based surveillance was also cost-effective versus ultrasound/AFP, with an ICER of USD 14,800 per QALY. Biomarker sensitivity exceeding 80%, cost below USD 210, or adherence exceeding 58% were necessary for biomarker-based screening to be cost-effective versus ultrasound/AFP. In two-way sensitivity analyses, biomarker costs were directly related with test sensitivity and adherence, whereas sensitivity and adherence were inversely related. In a probabilistic sensitivity analysis, biomarker-based screening was the most cost-effective strategy in most (65%) simulations.

Conclusion

Biomarker-based screening appears cost-effective for HCC screening, but results are sensitive to test sensitivity, adherence, and costs.

Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model

BACKGROUND

In recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelationships between factors, and the predictive accuracy is lower. This study aimed to construct Bayesian network models using the tree augmented naïve algorithm in comparison with the Cox proportional hazards model.

METHODS

A Bayesian network model and a Cox proportional hazards model were constructed to analyze the prognostic factors of endometrial cancer. In total, 618 original cases obtained from the Surveillance, Epidemiology, and End Results database were used to construct the Bayesian network model, which was compared with the traditional Cox proportional hazards model by analyzing prognostic factors. External validation was performed using a dataset from The First Affiliated Hospital of Shandong First Medical University.

RESULTS

The predictive accuracy, area under the receiver operating characteristic curve, and concordance index for the Bayesian network model were 74.68%, 0.787, and 0.72, respectively, compared to 68.83%, 0.723, and 0.71, respectively, for the Cox proportional hazards model. Tumor size was the most important factor for predicting survival, followed by lymph node metastasis, distant metastasis, chemotherapy, lymph node resection, tumor stage, depth of invasion, tumor grade, histological type, age, primary tumor site, radiotherapy and surgical sequence, and radiotherapy.

CONCLUSION

The findings indicate that the Bayesian network model is preferable to the Cox proportional hazards model for predicting survival in patients with endometrial cancer.

CircROBO1 knockdown improves the radiosensitivity of hepatocellular carcinoma by regulating RAD21

INTRODUCTION AND OBJECTIVES

Radioresistance is a common problem in the treatment of many cancers, including hepatocellular carcinoma (HCC). Previous studies have shown that circROBO1 is highly expressed in HCC tissues and acts as a cancer promoter to accelerate the malignant progression of HCC. However, the role and mechanism of circROBO1 in HCC radioresistance remain unclear.

MATERIALS AND METHODS

CircROBO1, microRNA (miR)-136-5p and RAD21 expression levels were analyzed by quantitative real-time PCR. Cell function and radioresistance were evaluated by colony formation assay, cell counting kit 8 assay, EdU assay and flow cytometry. Protein expression was determined using western blot analysis. RNA interaction was analyzed by dual-luciferase reporter assay and RNA pull-down assay. In vivo experiments were performed by constructing mice xenograft models.

RESULTS

CircROBO1 was highly expressed in HCC, and its knockdown inhibited HCC cell proliferation and promoted apoptosis to enhance cell radiosensitivity. On the mechanism, circROBO1 could serve as miR-136-5p sponge to positively regulate RAD21. MiR-136-5p inhibitor or RAD21 overexpression reversed the regulation of circROBO1 knockdown on the radiosensitivity of HCC cells. Also, circROBO1 interference improved the radiosensitivity of HCC tumors in vivo.

CONCLUSIONS

CircROBO1 might be a promising target for treating HCC radioresistance.

The Neoangiogenic Transcriptomic Signature Impacts Hepatocellular Carcinoma Prognosis and Can Be Triggered by Transarterial Chemoembolization Treatment

Background/Objectives: We evaluated the relationship between the neoangiogenic transcriptomic signature (nTS) and clinical symptoms, treatment outcomes, and survival in hepatocellular carcinoma (HCC) patients. Methods: This study prospectively followed 328 patients in the derivation and 256 in the validation cohort (with a median follow-up of 31 and 22 months, respectively). The nTS was associated with disease presentation, treatments administered, and overall survival rates. Additionally, this study investigated how multiple treatments influenced changes in nTS status and alterations in microRNA expression. Results: The nTS was identified in 27.4% of patients, linked to aggressive features like multifocality and elevated alpha-fetoprotein (AFP), a pattern consistent with that of the validation cohort. Most patients in both cohorts received treatment for HCC. nTS+ patients had limited access to, and benefited less from, liver transplantation or radiofrequency ablation (RFA) compared to nTS- patients. By the end, 78.9% had died, with nTS- patients showing better median survival and response to treatments than their nTS+ counterparts, who had lower survival across all treatment types. Among those who received transarterial chemoembolization (TACE), 31.2% (21/80 patients after the initial treatment and another four following a second TACE) transitioned from an nTS- to an nTS+ status. This shift was associated with lower survival and alterations in microRNA expressions related to oncogenic pathways. Conclusions: The nTS markedly influences treatment eligibility and survival in patients with HCC. Notably, the nTS can develop after repeated TACE procedures, significantly impacting patient survival and altering oncogenic microRNA expression patterns. These findings highlight the critical role of the nTS in guiding treatment decisions and prognostication in HCC management.

Survival Outcomes Among Patients With Hepatocellular Carcinoma in a Large Integrated US Health System

Importance

Hepatocellular carcinoma (HCC) is the leading oncologic cause of death among patients with cirrhosis, but large studies examining mortality trends are lacking.

Objective

To evaluate survival among patients with HCC in one of the largest integrated health care systems in the US.

Design, Setting, and Participants

This retrospective cohort study included 3441 adult patients who received a diagnosis of HCC between January 1, 2006, and December 31, 2019, with end of follow-up on December 31, 2020. The study period was further categorized as era 1, defined as 2006 to 2012, and era 2, defined as 2013 to 2019. Statistical analysis was conducted from January 2021 to June 2024.

Exposures

Patient demographic characteristics and disease factors.

Main Outcomes and Measures

All-cause and HCC-specific mortality were used as primary end points, and survival probabilities were estimated using the Kaplan-Meier method. Cox proportional hazards regression analyses were adjusted for age at diagnosis, sex, race and ethnicity, cause of disease, Barcelona Clinic Liver Cancer (BCLC) stage, alpha-fetoprotein level, and treatment type.

Results

Of 3441 patients with HCC, 2581 (75.0%) were men, and the median age was 65 years (IQR, 58-73 years). A total of 1195 patients (34.7%) received curative treatment, 1374 (39.9%) received noncurative treatment, and 872 (25.3%) received no treatment. During the study period, 2500 patients (72.7%) experienced all-cause mortality, and 1809 (52.6%) had HCC-specific mortality. In multivariable analysis, being 70 years of age or older (adjusted hazard ratio [AHR], 1.39; 95% CI, 1.22-1.59), male sex (AHR, 1.20; 95% CI, 1.07-1.35), BCLC stage C or D (AHR, 2.40; 95% CI, 2.15-2.67), increasing alpha-fetoprotein level (vs <20 ng/mL; 20-99 ng/mL: AHR, 1.20; 95% CI, 1.04-1.38; ≥1000 ng/mL: AHR, 2.84; 95% CI, 2.45-3.25), noncurative treatment (AHR, 2.51; 95% CI, 2.16-2.90), and no treatment (AHR, 3.15; 95% CI, 2.64-3.76) were associated with higher all-cause mortality, while Asian or Other Pacific Islander race and ethnicity (vs non-Hispanic White; AHR, 0.76; 95% CI, 0.65-0.88) was associated with lower all-cause mortality. Survival improved in diagnosis era 2 (2013-2019; n = 2007) compared with diagnosis era 1 (2006-2012; n = 1434).

Conclusions and Relevance

This large, racially and ethnically diverse cohort study of patients with HCC found improving survival over time, especially among individuals with early-stage HCC receiving potentially curative treatments. This study highlights the importance of surveillance for detection of HCC at early stages, particularly among groups at risk for poorer outcomes.

PNPLA3, Obesity, and Heavy Alcohol Use in Cirrhosis Patients May Exert a Synergistic Increase Hepatocellular Carcinoma Risk

BACKGROUND & AIMS

In patients with cirrhosis, continued heavy alcohol consumption and obesity may increase risk of hepatocellular carcinoma (HCC). We examined whether germline susceptibility to hepatic steatosis not only independently predisposes to HCC but may also act synergistically with other risk factors.

METHODS

We analyzed data from 1911 patients in 2 multicenter prospective cohort studies in the United States. We classified patients according to alcohol consumption (current heavy vs not current heavy), obesity (body mass index ≥30 vs <30 kg/m2), and PNPLA3 I148M variant status (carrier of at least one G risk allele vs noncarrier). We examined the independent and joint effects of these risk factors on risk of developing HCC using Cox regression with competing risks.

RESULTS

Mean age was 59.6 years, 64.3% were male, 28.7% were Hispanic, 18.3% were non-Hispanic Black, 50.9% were obese, 6.2% had current heavy alcohol consumption, and 58.4% harbored at least 1 PNPLA3 G-allele. One hundred sixteen patients developed HCC. Compared with PNPLA3 noncarriers without heavy alcohol consumption, HCC risk was 2.65-fold higher (hazard ratio [HR], 2.65; 95% confidence interval [CI], 1.20-5.86) for carriers who had current heavy alcohol consumption. Compared with noncarrier patients without obesity, HCC risk was higher (HR, 2.40; 95% CI, 1.33-4.31) for carrier patients who were obese. PNPLA3 and alcohol consumption effect was stronger among patients with viral etiology of cirrhosis (HR, 3.42; 95% CI, 1.31-8.90). PNPLA3 improved 1-year risk prediction for HCC when added to a clinical risk model.

CONCLUSIONS

The PNPLA3 variant may help refine risk stratification for HCC in patients with cirrhosis with heavy alcohol consumption or obesity who may need specific preventive measures.

Patient Experience of Hepatocellular Carcinoma and Their Treatment Goals: An International Qualitative Study and Patient Journey Map

INTRODUCTION

Understanding the patient journey of hepatocellular carcinoma (HCC) may inform future clinical decision-making and enhance the patient experience. The objectives of this study were to explore the patient experience of HCC in relation to treatment options, treatment decision-making and treatment goals throughout the disease journey. This study also aimed to determine the symptoms and impacts of HCC across early, intermediate and advanced HCC.

METHODS

Semi-structured 60-min interviews were conducted with n = 50 patients with HCC and n = 12 healthcare professionals (HCPs) with experience of treating patients with HCC. Interview data were analyzed using directed content analysis techniques with a hybrid inductive and deductive approach. An assessment of conceptual saturation was conducted for patients' symptom experience.

RESULTS

Patients described treatment decisions as mostly HCP-led. In this study, surgery/resection was the most frequently offered treatment option across the HCC journey, and most patients were satisfied with the treatment options presented to them. Overall, patients described extending their overall survival (OS) and preserving quality of life (QoL) as their most important treatment goals, with patients diagnosed with advanced/unresectable HCC prioritizing QoL. HCPs also prioritized OS and progression-free survival (PFS) though reported that QoL became more important as HCC progressed. Patients experienced various symptoms across the HCC journey including fatigue, nausea, appetite loss, diarrhea and pain.

CONCLUSION

Overall, HCPs and patients collaborate throughout the treatment journey regarding treatment decisions and shared treatment goals. OS is critically important to patients and HCPs, though treatment goals may change depending on various clinical factors.

Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images

Liver resection is one of the best treatments for small hepatocellular carcinoma (HCC), but post-resection recurrence is frequent. Biotherapies have emerged as an efficient adjuvant treatment, making the identification of patients at high risk of recurrence critical. Microvascular invasion (mVI), poor differentiation, pejorative macrotrabecular architectures, and vessels encapsulating tumor clusters architectures are the most accurate histologic predictors of recurrence, but their evaluation is time-consuming and imperfect. Herein, a supervised deep learning-based approach with ResNet34 on 680 whole slide images (WSIs) from 107 liver resection specimens was used to build an algorithm for the identification and quantification of these pejorative architectures. This model achieved an accuracy of 0.864 at patch level and 0.823 at WSI level. To assess its robustness, it was validated on an external cohort of 29 HCCs from another hospital, with an accuracy of 0.787 at WSI level, affirming its generalization capabilities. Moreover, the largest connected areas of the pejorative architectures extracted from the model were positively correlated to the presence of mVI and the number of tumor emboli. These results suggest that the identification of pejorative architectures could be an efficient surrogate of mVI and have a strong predictive value for the risk of recurrence. This study is the first step in the construction of a composite predictive algorithm for early post-resection recurrence of HCC, including artificial intelligence-based features.

Construction of a circadian rhythm-relevant gene signature for hepatocellular carcinoma prognosis, immunotherapy and chemosensitivity prediction

Aims

This study explored the molecular and biologic mechanisms underlying the association between circadian rhythm disorders (CRD) and increased risk for hepatocellular carcinoma (HCC).

Background

CRD are linked to increased risk for HCC, but the molecular and biologic mechanisms underlying this association are limited.ObjectiveThe study constructed and validated a CRD related gene model as an independent prognostic factor for HCC, providing insight into the molecular mechanisms linking CRD to increased HCC risk and identifying potential indicators for the efficacy of immunotherapy and anticancer drugs. This helps provide important clues for personalized treatment strategies for HCC patients.

Methods

Gene sets correlated with circadian rhythm were obtained from the Molecular Signatures Database (MSigDB) to intersect with differentially expressed genes (DEGs) between tumor samples and control samples in The Cancer Genome Atlas (TCGA) and HCCDB18 from Hepatocellular Carcinoma Cell DataBase (HCCDB). The CRD related gene model was developed by univariate Cox and stepwise multivariate analysis. Immune checkpoint blockade (ICB) therapy and anticancer drugs were analyzed using the tumor immune dysfunction and exclusion (TIDE) and pRRophetic, respectively. Seurat determined the cell type of HCC by analyzing single-cell data, and malignant cells were identified using Copykat. To detect the mRNA levels of genes in the CRD related gene model, quantitative real-time polymerase chain reaction (qRT-PCR) was carried out.

Results

The activity of circadian rhythm in HCC tissue was significantly lower than that in control tissue. Subsequently, EZH2, IMPDH2, TYMS and SERPINE1 were selected to construct the CRD related gene model, which was an independent factor for HCC prognosis. Notably, low-risk patients had lower levels of immune cell infiltration and lower TIDE scores compared to high-risk patients with HCC, indicating that patients with a low risk may derive more benefit from immunotherapy. IMPDH2, TYMS and SERPINE1 expressed significantly higher in malignant cells than in benign epithelial cells.

Conclusions

This study presents a CRD related gene model to reveal the molecular perspective of the dependent mechanism of the association between CRD and cancer, which provides a potential indicator for understanding the preclinical efficacy of ICB and anticancer drugs.

Classification of Long Non-Coding RNAs s Between Early and Late Stage of Liver Cancers From Non-coding RNA Profiles Using Machine-Learning Approach

Long non-coding RNAs (lncRNAs), which are RNA sequences greater than 200 nucleotides in length, play a crucial role in regulating gene expression and biological processes associated with cancer development and progression. Liver cancer is a major cause of cancer-related mortality worldwide, notably in Thailand. Although machine learning has been extensively used in analyzing RNA-sequencing data for advanced knowledge, the identification of potential lncRNA biomarkers for cancer, particularly focusing on lncRNAs as molecular biomarkers in liver cancer, remains comparatively limited. In this study, our objective was to identify candidate lncRNAs in liver cancer. We employed an expression data set of lncRNAs from patients with liver cancer, which comprised 40 699 lncRNAs sourced from The CancerLivER database. Various feature selection methods and machine-learning approaches were used to identify these candidate lncRNAs. The results showed that the random forest algorithm could predict lncRNAs using features extracted from the database, which achieved an area under the curve (AUC) of 0.840 for classifying lncRNAs between early (stage 1) and late stages (stages 2, 3, and 4) of liver cancer. Five of 23 significant lncRNAs (WAC-AS1, MAPKAPK5-AS1, ARRDC1-AS1, AC133528.2, and RP11-1094M14.11) were differentially expressed between early and late stage of liver cancer. Based on the Gene Expression Profiling Interactive Analysis (GEPIA) database, higher expression of WAC-AS1, MAPKAPK5-AS1, and ARRDC1-AS1 was associated with shorter overall survival. In conclusion, the classification model could predict the early and late stages of liver cancer using the signature expression of lncRNA genes. The identified lncRNAs might be used as early diagnostic and prognostic biomarkers for patients with liver cancer.

Exploiting the immune system in hepatic tumor targeting: Unleashing the potential of drugs, natural products, and nanoparticles

Hepatic tumors present a formidable challenge in cancer therapeutics, necessitating the exploration of novel treatment strategies. In recent years, targeting the immune system has attracted interest to augment existing therapeutic efficacy. The immune system in hepatic tumors includes numerous cells with diverse actions. CD8+ T lymphocytes, T helper 1 (Th1) CD4+ T lymphocytes, alternative M1 macrophages, and natural killer (NK) cells provide the antitumor immunity. However, Foxp3+ regulatory CD4+ T cells (Tregs), M2-like tumor-associated macrophages (TAMs), and myeloid-derived suppressor cells (MDSCs) are the key immune inhibitor cells. Tumor stroma can also affect these interactions. Targeting these cells and their secreted molecules is intriguing for eliminating malignant cells. The current review provides a synopsis of the immune system components involved in hepatic tumor expansion and highlights the molecular and cellular pathways that can be targeted for therapeutic intervention. It also overviews the diverse range of drugs, natural products, immunotherapy drugs, and nanoparticles that have been investigated to manipulate immune responses and bolster antitumor immunity. The review also addresses the potential advantages and challenges associated with these approaches.

Ultrasound Evaluation of Sarcopenia in Patients with Hepatocellular Carcinoma: A Faster and Easier Way to Detect Patients at Risk

The condition of sarcopenia, defined as a progressive loss of musculoskeletal mass and muscular strength, is very common in patients with hepatocellular carcinoma (HCC) and presents a remarkable association with its prognosis. Thus, the early identification of sarcopenic patients represents one of the potential new approaches in the global assessment of HCC, and there is increasing interest regarding the potential therapeutic implications of this condition. The gold standard for the quantification of muscle mass is magnetic resonance imaging (MRI) or computed tomography (CT), but these techniques are not always feasible because of the high-cost equipment needed. A new possibility in sarcopenia identification could be muscle ultrasound examination. The measurement of specific parameters such as the muscle thickness, muscular fascicles length or pennation angle has shown a good correlation with CT or MRI values and a good diagnostic accuracy in the detection of sarcopenia. Recently, these results were also confirmed specifically in patients with chronic liver disease. This review summarizes the role of imaging for the diagnosis of sarcopenia in patients with HCC, focusing on the advantages and disadvantages of the diagnostic techniques currently validated for this aim and the future perspectives for the identification of this condition.

Stereotactic Body Radiation Therapy (SBRT) for Hepatocellular Carcinoma (HCC) With Single Photon Emission Computed Tomography (SPECT) Functional Treatment Planning in Patients With Advanced Hepatic Cirrhosis

Purpose

We report on the feasibility and outcomes of liver stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma (HCC) with single-photon emission computed tomography (SPECT) functional treatment planning in patients with Child-Pugh (CP) B/C cirrhosis.

Methods and Materials

Liver SPECT with 99mTc-sulfur colloid was coregistered to treatment planning computed tomography (CT) for the guided avoidance of functional hepatic parenchyma during SBRT. Functional liver volumes (FLVs) obtained from SPECT were compared with anatomic liver volumes defined on the planning CT. Radiation dose constraints were adapted exclusively to FLV. Local control, toxicity, and survival were reported with at least 6 months of radiographic follow-up. Pre- and posttransplant outcomes were analyzed in a subset of patients who completed SBRT as a bridge to liver transplant. Model of End-Stage Liver Disease was used to score hepatic function before and after SBRT completion.

Results

With a median follow-up of 32 months, 45 patients (58 lesions) with HCC and CP-B/C cirrhosis received SBRT to a median dose of 45 Gy (3-5 fractions). FLV loss (34%, P < .001) was observed in all patients, and the functional and anatomic liver volumes matched well in a control group of noncirrhotic/non-HCC patients. Despite marked functional parenchyma retraction, the amount of FLV on SPECT exposed to the threshold irradiation was significantly less than the CT liver volumes (P < .001) because of the optimized beam placement during dosimetry planning. Twenty-three patients (51%) successfully completed orthotopic liver transplant, with a median time to transplant of 9.2 months. With 91% in-field local control, the overall 2-year survival was 65% (90% after the orthotopic liver transplant), with no incidence of radiation-induced liver disease observed within 3 to 4 months or accelerated CP class migration from B to C within the first 6 months post-SBRT. Mean Model of End-Stage Liver Disease-Na score was not significantly elevated at 3-month intervals after SBRT completion.

Conclusions

Functional treatment planning with 99mTc sulfur colloid SPECT/CT allows identification and avoidance of functional hepatic parenchyma in patients with CP-B/C cirrhosis, leading to low toxicity and satisfactory transplant outcomes.

Disparities in treatment and survival in early-stage hepatocellular carcinoma in California

BACKGROUND AND OBJECTIVES

Curative intent therapy is the standard of care for early-stage hepatocellular carcinoma (HCC). However, these therapies are under-utilized, with several treatment and survival disparities. We sought to demonstrate whether the type of facility and distance from treatment center (with transplant capabilities) contributed to disparities in curative-intent treatment and survival for early-stage HCC in California.

METHODS

We performed a retrospective analysis of the California Cancer Registry for patients diagnosed with stage I or II primary HCC between 2005 and 2017. Primary and secondary outcomes were receipt of treatment and overall survival, respectively. Multivariable logistic regression and Multivariable Cox proportional hazards regression were used to evaluate associations.

RESULTS

Of 19 059 patients with early-stage HCC, only 36% (6778) received curative-intent treatment. Compared to Non-Hispanic White patients, Hispanic patients were less likely, and Asian/Pacific Islander patients were more likely to receive curative-intent treatment. Our results showed that rural residence, public insurance, lower neighborhood SES, and care at non-National Cancer Institute-designated cancer center were associated with not receiving treatment and decreased survival.

CONCLUSIONS

Although multiple factors influence receipt of treatment for early-HCC, our findings suggest that early intervention programs should target travel barriers and access to specialist care to help improve oncologic outcomes.

Identification of topoisomerase 2A as a novel bone metastasis-related gene in liver hepatocellular carcinoma

BACKGROUND

Bone is the second most frequent site of metastasis for Liver hepatocellular carcinoma (LIHC), which leads to an extremely poor prognosis. Identifying novel biomarkers and therapeutic targets for LIHC patients with bone metastasis is urgently needed.

METHODS

In this study, we used multiple databases for comprehensive bioinformatics analysis, including TCGA, GEO, ICGC, GTEx, TISIDB, and TIMER, to identify key genes related to bone metastasis of LIHC. Clinical tissues and tissue microarray were adopted to assess the expression of TOP2A through qRT-PCR and immunohistochemistry analyses in LIHC. Gene enrichment analysis, DNA methylation, gene mutation, prognosis, and tumor immunity associated with TOP2A in LIHC were investigated. In vitro and in vivo experiments were performed to explore the functional role of TOP2A in LIHC bone metastasis.

RESULTS

We identified that TOP2A was involved in LIHC bone metastasis. Clinically, TOP2A was highly expressed in LIHC tumoral specimens, with the highest level in the bone metastasis lesions. TOP2A was an independent prognostic factor that higher expression of TOP2A was markedly associated with poorer prognosis in LIHC. Moreover, the abnormal expression of TOP2A might be related to DNA hypomethylation, often accompanied by TP53 mutation, immune escape and immunotherapy failure. Enrichment analysis and validation experiments unveiled that TOP2A stimulated the Hippo-YAP signaling pathway in LIHC. Functional assays confirmed that TOP2A could promote bone-specific metastatic potential and tumor-induced osteolysis in LIHC.

CONCLUSIONS

These findings unveil that TOP2A might be a novel prognostic biomarker and therapeutic target for LIHC bone metastasis.

Intramolecular fluorescence resonance energy transfer strategy for accurate detection of AFP-L3% and improved diagnosis of hepatocellular carcinoma

Early and accurate diagnosis of hepatocellular carcinoma (HCC) is of significant importance for improving the survival rate and quality of life for HCC patients. The combined detection of alpha-fetoprotein (AFP) and alpha-fetoprotein-L3 (AFP-L3), namely AFP-L3%, can greatly improve the accuracy of HCC diagnosis compared with AFP detection. Herein, we developed a novel intramolecular fluorescence resonance energy transfer (FRET) strategy for sequential detection of AFP and AFP-specific core fucose to improve the diagnosis accuracy of HCC. Firstly, fluorescence-labeled AFP aptamer (AFP Apt-FAM) was used to specifically recognize all AFP isoforms, and total AFP was quantitatively determined using fluorescence intensity of FAM. Then, 4-((4-(dimethylamino)phenyl)azo)benzoic acid (Dabcyl) labeled lectins (PhoSL-Dabcyl) were used to specifically recognize the core fucose expressed on AFP-L3 that does not bind to other AFP isoforms. The combination of FAM and Dabcyl on the same AFP molecule could generate FRET effect, thereby quenching the fluorescence signal of FAM and quantitatively determining AFP-L3. After that, AFP-L3% was calculated according to the ratio of AFP-L3 to AFP. With this strategy, the concentration of total AFP, AFP-L3 isoform as well as the AFP-L3% were sensitively detected. Detection limits of 0.66 and 0.186 ng/mL were obtained for AFP and AFP-L3 in human serum, respectively. Clinical human serum test results showed that AFP- L3 % test was more accurate than AFP assay to distinguish healthy people, HCC patients and benign liver disease patients. Therefore, the proposed strategy is simple, sensitive and selective, which can improve the accuracy of early diagnosis of HCC, and has good clinical application potential.

The rs72613567:TA polymorphism in HSD17B13 is associated with survival benefit after development of hepatocellular carcinoma

BACKGROUND

The influence of genetic factors on survival following a diagnosis of hepatocellular carcinoma (HCC) remains unclear.

AIM

To assess whether genetic polymorphisms influencing the susceptibility to develop HCC are also associated with HCC prognosis.

METHODS

We included United Kingdom Biobank (UKB) participants diagnosed with HCC after study enrolment. The primary outcome was all-cause mortality. Patients were followed from the date of HCC diagnosis to death or the registry completion date. Five HCC susceptibility loci were investigated: rs738409 (PNPLA3), rs58542926 (TM6SF2); rs72613567 (HSD17B13); rs2242652 (TERT) and rs708113 (WNT3A). The associations between these genetic variants and HCC mortality risk were assessed using Cox regression, adjusted for age, sex, ethnicity, aetiology, severity of the underlying liver disease and receipt of curative HCC treatment.

RESULTS

The final sample included 439 patients; 74% had either non-alcoholic fatty liver disease or alcohol-related liver disease. There were 321 deaths during a mean follow-up of 1.9 years per participant. Kaplan-Meier survival estimates at 1, 3 and 5 years were 53.2%, 31.2% and 22.6% respectively. In multivariate analysis, rs72613567:TA (HSD17B13) was the only genetic susceptibility variant significantly associated with all-cause mortality risk (aHR: 0.74; 95% CI: 0.61-0.90; p = 0.003). Other associated factors were Baveno stage 3-4 (aHR: 1.65; 95% CI: 1.05-2.59; p = 0.03) and HCC treatment with curative intent (aHR: 0.25; 95% CI: 0.17-0.37; p < 0.001).

CONCLUSIONS

The rs72613567:TA polymorphism in HSD17B13 is not only associated with a reduction in the risk of developing HCC but with a survival benefit in HCC once established. Therapeutic inhibition of HSD17B13 may augment survival in individuals with HCC.

Associations of Race and Ethnicity with Hepatocellular Carcinoma, Decompensation, and Mortality in US Veterans with Cirrhosis

BACKGROUND

Among patients with cirrhosis, it remains unclear whether there are racial/ethnic differences in cirrhosis complications and mortality. We examined the associations between race/ethnicity and risk for hepatocellular carcinoma (HCC), cirrhosis decompensation, and all-cause mortality overall and by cirrhosis etiology.

METHODS

US Veterans diagnosed with cirrhosis from 2001 to 2014 (n = 120,992), due to hepatitis C virus (HCV; n = 55,814), alcohol-associated liver disease (ALD; n = 36,323), hepatitis B virus (HBV; n = 1,972), nonalcoholic fatty liver disease (NAFLD; n = 17,789), or other (n = 9,094), were followed through 2020 for incident HCC (n = 10,242), cirrhosis decompensation (n = 27,887), and mortality (n = 81,441). Multivariable Cox proportional hazards regression was used to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI).

RESULTS

Compared with non-Hispanic White patients, Hispanic patients had higher risk for HCC overall (aHR, 1.32; 95% CI, 1.24-1.41) and by cirrhosis etiology, particularly for ALD- (aHR, 1.63; 95% CI, 1.42-1.87) and NAFLD-cirrhosis (aHR, 1.76; 95% CI, 1.41-2.20), whereas non-Hispanic Black patients had lower HCC risk in ALD- (aHR, 0.79; 95% CI, 0.63-0.98) and NAFLD-cirrhosis (aHR, 0.54; 95% CI, 0.33-0.89). Asian patients had higher HCC risk (aHR, 1.70; 95% CI, 1.29-2.23), driven by HCV- and HBV-cirrhosis. Non-Hispanic Black patients had lower risk for cirrhosis decompensation overall (aHR, 0.71; 95% CI, 0.68-0.74) and by cirrhosis etiology. There was lower risk for mortality among all other racial/ethnic groups compared with non-Hispanic White patients.

CONCLUSIONS

Race/ethnicity is an important predictor for risk of developing HCC, decompensation, and mortality.

IMPACT

Future research should examine factors underlying these racial/ethnic differences to inform prevention, screening, and treatment for patients with cirrhosis.

Treatment patterns, risk factors and outcomes for patients with newly diagnosed hepatocellular carcinoma in France: a retrospective database analysis

BACKGROUND & AIMS

The aim of this analysis was to describe the nationwide distribution of patients with newly diagnosed Hepatocellular carcinoma (HCC) according to treatment pattern, aetiologies, and outcomes in France.

METHOD

A retrospective cohort of patients with newly diagnosed HCC was selected over the period 2015-2017 in a French claims database covering 99% of the population. Treatment pattern was described using an algorithm based on a ranking of curative and palliative HCC treatments identified. Survival was analyzed using Kaplan-Meier curves according to major treatments and aetiologies.

RESULTS

A total of 20,083 incident patients were identified with a mean age of 69.2 years (SD: 11.0) and 82.4% of men. The mean duration of follow-up was 10.0 months (SD: 9.7). At least one HCC risk factor could be identified in 87.0% of patients. The most frequent aetiologies were alcohol-related liver disease present in 50.8% of patients, a metabolic disease (NAFLD, NASH or diabetes) without alcohol or viral hepatitis (44.5%) and viral hepatitis (20.0%). Only 32.7% of patients received a curative therapy, with a 1-year survival of 89.5%, while 38.0% of patients received only best supportive care, with a 1-year survival of 12.9%. The highest rates of curative treatments were found in patients with viral hepatitis, associated or not with another risk factor.

CONCLUSION

Hepatocellular carcinoma was still most often diagnosed at an advanced disease stage as shown by the low rate of curative treatment observed and the very poor prognosis. Viral hepatic aetiology was associated with the best survival.

Causes of Death among Patients with Hepatocellular Carcinoma According to Chronic Liver Disease Etiology

This study was conducted to determine whether the causes of death among patients with hepatocellular carcinoma (HCC) differ according to chronic liver disease (CLD) etiology. Between 2011 and 2020, 3977 patients who were newly diagnosed with HCC at our institution were enrolled in this study. We determined whether the cause of death was HCC-related and non-HCC-related. For patients with multiple CLD etiologies, etiology was classified using the following hierarchy: hepatitis C virus (HCV) > hepatitis B virus (HBV) > alcohol-related causes > all negative. All negative was defined as negative for HCV, HBV, and alcohol-related causes. Among 3977 patients, 1415 patients were classified as HCV-related, 1691 patients were HBV-related, 145 patients were alcohol-related, and 725 patients were all negative. HCC-related mortality was the leading cause of death, irrespective of etiology. Among patients who underwent curative treatment, HCC-related mortality was the leading cause of death for patients in the HCV, HBV, and all-negative groups, but not for patients in the alcohol-related group. Among patients 75 years and older who underwent curative treatment, HCC-related mortality was the leading cause of death in the HCV but not HBV or all-negative groups. In conclusion, although most patients with HCC die due to HCC-related causes, non-HCC-related mortality represents a competing event in certain patient subgroups. The current study results underscore the importance of assessing and managing underlying comorbidities, particularly among patients with HCC at risk of non-HCC-related mortality.

Risk stratification for hepatocellular cancer among patients with cirrhosis using a hepatic fat polygenic risk score

BACKGROUND

Polygenic risk scores (PRS) hold the promise to refine prognostication in hepatocellular cancer (HCC). The few available HCC PRS include germline risk variants identified among individuals of mostly European ancestry, but data are lacking on the transportability of these PRS in multiethnic U.S patients with cirrhosis from multiple etiologies.

METHODS

We used data from 1644 patients with cirrhosis enrolled in two prospective cohort studies in the U.S. Patients were followed until HCC diagnosis, death, liver transplantation, or last study visit through June 30, 2021. The high-risk variants in PNPLA3-MBOAT7-TM6SF2-GCKR were combined in a PRS and we evaluated its association with HCC. Discriminatory accuracy was assessed using the C-statistic.

RESULTS

During 4,759 person-years of follow-up, 93 patients developed HCC. Mean age was 59.8 years, 68.6% were male, 27.2% Hispanic, 25.1% non-Hispanic Black, 25.7% had NAFLD, 42.1% had heavy alcohol use, and 19.5% had active HCV. HCC risk increased by 134% per unit increase in PRS (HR = 2.30; 95% CI, 1.35-3.92). Compared to cirrhosis patients in the lowest tertile of the PRS, those in the highest tertile had 2-fold higher risk of HCC (HR = 2.05; 95% CI, 1.22-3.44). The PRS alone had modest discriminatory ability (C-statistic = 0.58; 95% CI, 0.52-0.63); however, adding PRS to a predictive model with traditional HCC risk factors had a C-statistic of 0.70 (95% CI, 0.64-0.76), increasing from 0.68 without the PRS (p = 0.0012).

CONCLUSIONS

Our findings suggest that PRS may enhance risk prediction for HCC in contemporary U.S. cirrhosis patients.

Updating the Clinical Application of Blood Biomarkers and Their Algorithms in the Diagnosis and Surveillance of Hepatocellular Carcinoma: A Critical Review

The most common primary liver cancer is hepatocellular carcinoma (HCC), and its mortality rate is increasing globally. The overall 5-year survival of patients with liver cancer is currently 10-20%. Moreover, because early diagnosis can significantly improve prognosis, which is highly correlated with tumor stage, early detection of HCC is critical. International guidelines advise using α-FP biomarker with/without ultrasonography for HCC surveillance in patients with advanced liver disease. However, traditional biomarkers are sub-optimal for risk stratification of HCC development in high-risk populations, early diagnosis, prognostication, and treatment response prediction. Since about 20% of HCCs do not produce α-FP due to its biological diversity, combining α-FP with novel biomarkers can enhance HCC detection sensitivity. There is a chance to offer promising cancer management methods in high-risk populations by utilizing HCC screening strategies derived from new tumor biomarkers and prognostic scores created by combining biomarkers with distinct clinical parameters. Despite numerous efforts to identify molecules as potential biomarkers, there is no single ideal marker in HCC. When combined with other clinical parameters, the detection of some biomarkers has higher sensitivity and specificity in comparison with a single biomarker. Therefore, newer biomarkers and models, such as the Lens culinaris agglutinin-reactive fraction of Alpha-fetoprotein (α-FP), α-FP-L3, Des-γ-carboxy-prothrombin (DCP or PIVKA-II), and the GALAD score, are being used more frequently in the diagnosis and prognosis of HCC. Notably, the GALAD algorithm was effective in HCC prevention, particularly for cirrhotic patients, regardless of the cause of their liver disease. Although the role of these biomarkers in surveillance is still being researched, they may provide a more practical alternative to traditional imaging-based surveillance. Finally, looking for new diagnostic/surveillance tools may help improve patients' survival. This review discusses the current roles of the most used biomarkers and prognostic scores that may aid in the clinical management of HCC patients.

Blood-based biomarkers for hepatocellular carcinoma screening: Approaching the end of the ultrasound era?

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, in part because of inadequate early detection strategies. Current recommendations for screening consist of semi-annual abdominal ultrasound with or without serum alpha-fetoprotein in patients with cirrhosis and in demographic subgroups with chronic hepatitis B infection. However, this screening strategy has several deficiencies, including suboptimal early-stage sensitivity, false positives with subsequent harms, inter-operator variability in ultrasound performance, and poor adherence. A blood-based biomarker with sufficient performance characteristics for early-stage disease could overcome several of these barriers to improving early-stage detection. However, prior to use of a biomarker for screening in clinical practice, a multistep validation is required in order to understand test performance characteristics. These steps include case-control validation, followed by validation in prospective cohorts of at-risk patients. Until recently, we lacked adequate longitudinal validation cohorts for early HCC detection; however, several validation cohorts are maturing, including the Hepatocellular Carcinoma Early Detection Study and the Texas Hepatocellular Carcinoma Consortium, which will allow for rigorous validation of candidate biomarkers. While there are several promising biomarkers awaiting validation, in order to supplant abdominal ultrasound, a candidate biomarker must show adequate test performance and overcome practical hurdles to ensure adoption in clinical practice. The promise of blood-based biomarkers is significant, especially given the limitations of ultrasound-based screening; however, they require adequate validation and several logistical obstacles must be overcome prior to clinical implementation.

Disparities in hepatocellular carcinoma survival by Medicaid-status: A national population-based risk analysis

BACKGROUND

Previous studies have demonstrated disparities in survival surrounding hepatocellular carcinoma (HCC) across a variety of socio-demographic factors; however, the relationship between Medicaid-status and HCC survival is poorly understood.

METHODS

We constructed 5-year, disease-specific survival curves using the Kaplan-Meier method and performed an adjusted survival analysis using multivariate Cox-proportional hazard regression.

RESULTS

We analyzed 17,059 non-elderly patients (12,194 non-Medicaid, 4875 Medicaid) diagnosed between 2006 and 2013 and found that Medicaid status was not associated with higher risk of diseases-specific death compared to other insurance types (p = .232, aHR 1.02, 95% CI: 0.983-1.07) after for controlling for a variety of co-variates (ie. marital status, urbanicity, etc.). We found no difference in the risk of death between patients enrolled in Medicaid for more than three years versus those enrolled for less than three years. In all models, rurality and unmarried status were also associated with an increased risk of death (aHR 1.11, 95% CI: 1.03-1.18, p = .002 and aHR 1.18, 95% CI: 1.13-1.23, p < .001, respectively).

DISCUSSION

Those enrolled in Medicaid prior to HCC diagnosis may not be associated with a higher risk of disease-specific death compared to non-Medicaid enrolled patients.

Nationwide database analysis of insomnia, depression, and sleeping pill prescriptions in hepatocellular carcinoma patients

OBJECTIVE

To clarify the status of insomnia and depression and the prescription of sleeping pills in hepatocellular carcinoma (HCC) patients before and after HCC diagnosis and treatment.

METHODS

Patients' data from a Japanese health insurance claims database were analyzed retrospectively to determine the incidence of insomnia and depression and their association with sleeping pill prescriptions during the 6 months before and after HCC diagnosis and treatment.

RESULTS

A total of 9,109 HCC patients (median age at diagnosis = 71.5 years, 68.1% male) were analyzed. The incidences of insomnia and depression increased significantly after HCC diagnosis. Insomnia was reported in 15.0% of patients before diagnosis, and it increased to 27.6% after diagnosis. Similarly, depression was reported in 6.3% and 11.3% before and after diagnosis, respectively. The incidences of insomnia and depression before diagnosis were higher in patients with concomitant liver diseases including hepatitis, cirrhosis, and hepatic encephalopathy. However, the rate of sleeping pill prescription was significantly lower in patients with concomitant liver diseases after diagnosis. The incidence of fracture was higher in insomnia or depression patients than others and in patients treated with sleeping pills than without before and after diagnosis.

CONCLUSIONS

HCC patients had increased risks of insomnia and depression after diagnosis. The high risk of fracture in HCC patients with insomnia and depression and treated with sleeping pills suggests that it is difficult to optimize the management of HCC patients, especially those with concomitant liver diseases.

Risk factors and predictive nomograms for early death of patients with advanced hepatocellular carcinoma: a large retrospective study based on the SEER database

BACKGROUND

Hepatocellular carcinoma (HCC) is a kind of tumor with high invasiveness, and patients with advanced HCC have a higher risk of early death. The aim of the present study was to identify the risk factors of early death in patients with advanced HCC and establish predictive nomograms.

METHODS

Death that occurred within 3 months of initial diagnosis is defined as early death. Patients diagnosed with stage IV HCC between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results database for model establishment and verification. Univariable and multivariable logistic regression analyses were used to identify the risk factors. Predictive nomograms were constructed and an internal validation was performed. Decision curve analysis (DCA) was used to verify the true clinical application value of the models.

RESULTS

Of 6603 patients (57% age > 60, 81% male, 70% white, 46% married), 21% and 79% had stage IVA and IVB, respectively. On the multivariable analyses, risk factors for early deaths in patients with stage IVA were age, tumor size, histological grade, alpha-fetoprotein (AFP), fibrosis score, tumor stage (T stage), surgery, radiotherapy, and chemotherapy, and that in stage IVB were age, histological grade, AFP, T stage, node stage (N stage), bone metastasis, lung metastasis, surgery, radiotherapy, and chemotherapy. The areas under the curves (AUCs) were 0.830 (95% CI 0.809-0.851) and 0.789 (95% CI 0.768-0.810) in stage IVA and IVB, respectively. Nomograms comprising risk factors with the concordance indexes (C-indexes) were 0.820 (95% CI 0.799-0.841) in stage IVA and 0.785 (95% CI 0.764-0.0.806) in stage IVB for internal validation (Bootstrapping, 1000re-samplings). The calibration plots of the nomograms show that the predicted early death was consistent with the actual value. The results of the DCA analysis show that the nomograms had a good clinical application.

CONCLUSION

The nomograms can be beneficial for clinicians in identifying the risk factors for early death of patients with advanced HCC and predicting the probability of early death, so as to allow for individualized treatment plans to be accurately selected.

Mediating Effects of Neighborhood-Level Socioeconomic Deprivation on the Association Between Race/Ethnicity and Advanced Hepatocellular Carcinoma

BACKGROUND

Racial/ethnic minorities are more likely than non-Hispanic whites (NHW) to be diagnosed with advanced stage hepatocellular carcinoma (HCC). We examined the role of neighborhood disadvantage as a mediator of the association between race/ethnicity and HCC stage at diagnosis.

METHODS

We used data from HCC cases diagnosed in Texas from 2007 to 2015. HCC cases were classified as local versus regional/advanced stage. A mediation model approach was used to estimate the average direct effect, average mediated (indirect) effect, total effect, and proportion mediated by the Area Deprivation Index (ADI), a composite measure of disadvantage.

RESULTS

7,622 had local while 6303 had regional/advanced HCC. 46.1% of cases were NHW, 15.0% non-Hispanic Black (NHB), and 38.9% Hispanic. NHBs were less likely than NHWs to be diagnosed with local stage HCC [total effect RR, 0.921; 95% confidence interval (95% CI), 0.898-0.947]; however, only 2.26% of this effect was mediated through ADI. Conversely, Hispanics were more likely than NHWs to be diagnosed with local stage HCC (total effect RR, 1.019; 95% CI, 1.001-1.037) and ADI mediated 12.56% of the effect of race/ethnicity on HCC stage. ADI was not associated with HCC stage and therefore was not a mediator of the association with HCC stage when we compared Hispanics with NHBs.

CONCLUSIONS

Neighborhood socioeconomic disadvantage may explain/mediate some of the association between race/ethnicity and HCC stage; however, the mediating effect was not uniform across populations.

IMPACT

For NHBs, other individual and neighborhood level factors, not reflected in the ADI, contribute to their lower likelihood of being diagnosed with local HCC. See related commentary by Lazo et al., p. 1254.

Current and Emerging Tools for Hepatocellular Carcinoma Surveillance

Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related mortality worldwide. Early detection of HCC enables patients to avail curative therapies that can improve patient survival. Current international guidelines advocate for the enrollment of patients at high risk for HCC, like those with cirrhosis, in surveillance programs that perform ultrasound every 6 months. In recent years, many studies have further characterized the utility of established screening strategies and have introduced new promising tools for HCC surveillance. In this review, we provide an overview of the most promising new imaging modalities and biomarkers for the detection of HCC. We discuss the role of imaging tools like ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) in the early detection of HCC, and describe recent innovations which can potentially enhance their applicability, including contrast enhanced ultrasound, low‐dose CT scans, and abbreviated MRI. Next, we outline the data supporting the use of three circulating biomarkers (i.e., alpha‐fetoprotein [AFP], AFP lens culinaris agglutinin‐reactive fraction, and des‐gamma‐carboxy prothrombin) in HCC surveillance, and expand on multiple emerging liquid biopsy biomarkers, including methylated cell‐free DNA (cfDNA), cfDNA mutations, extracellular vesicles, and circulating tumor cells. These promising new imaging modalities and biomarkers have the potential to improve early detection, and thus improve survival, in patients with HCC.

Immunmodulatory Treatment Strategies of Hepatocellular Carcinoma: From Checkpoint Inhibitors Now to an Integrated Approach in the Future

BACKGROUND

Hepatocellular carcinoma (HCC) still represents a human tumor entity with very limited therapeutic options, especially for advanced stages. Here, immune checkpoint modulating drugs alone or in combination with local ablative techniques could open a new and attractive therapeutic "door" to improve outcome and response rate for patients with HCC.

METHODS

Published data on HCC experimental to pre-(clinical) treatment strategies from standard of care to novel immunomodulatory concepts were summarized and discussed in detail.

RESULTS

Overall, our knowledge of the role of immune checkpoints in HCC is dramatically increased in the last years. Experimental and pre-clinical findings could be translated to phase 1 and 2 clinical trials and became standard of care. Local ablative techniques of HCC could improve the effectivity of immune checkpoint inhibitors in situ.

CONCLUSIONS

This review demonstrates the importance of immunomodulatory treatment strategies of HCC, whereby the "best treatment code" of immune checkpoint drugs, combination with ablative techniques and of timing must be evaluated in coming clinical trials.