The ALBI grade provides objective hepatic reserve estimation across each BCLC stage of hepatocellular carcinoma

A CECT-Based Radiomics Nomogram Predicts the Overall Survival of Patients with Hepatocellular Carcinoma After Surgical Resection

Objective: The primary objective of this study was to develop and validate a predictive nomogram that integrates radiomic features derived from contrast-enhanced computed tomography (CECT) images with clinical variables to predict overall survival (OS) in patients with hepatocellular carcinoma (HCC) after surgical resection. Methods: This retrospective study analyzed the preoperative enhanced CT images and clinical data of 202 patients with HCC who underwent surgical resection at the Affiliated Hospital of North Sichuan Medical College (Institution 1) from June 2017 to June 2021 and at Nanchong Central Hospital (Institution 2) from June 2020 to June 2022. Among these patients, 162 patients from Institution 1 were randomly divided into a training cohort (112 patients) and an internal validation cohort (50 patients) at a 7:3 ratio, whereas 40 patients from Institution 2 were assigned as an independent external validation cohort. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify clinical risk factors associated with OS after HCC resection. Using 3D-Slicer software, tumor lesions were manually delineated slice by slice on preoperative non-contrast-enhanced (NCE) CT, arterial phase (AP), and portal venous phase (PVP) images to generate volumetric regions of interest (VOIs). Radiomic features were subsequently extracted from these VOIs. LASSO Cox regression analysis was employed for dimensionality reduction and feature selection, culminating in the construction of a radiomic signature (Radscore). Cox proportional hazards regression models, including a clinical model, a radiomic model, and a radiomic-clinical model, were subsequently developed for OS prediction. The predictive performance of these models was assessed via the concordance index (C-index) and time-ROC curves. The optimal performance model was further visualized as a nomogram, and its predictive accuracy was evaluated via calibration curves and decision curve analysis (DCA). Finally, the risk factors in the optimal performance model were interpreted via Shapley additive explanations (SHAP). Results: Univariate and multivariate Cox regression analyses revealed that BCLC stage, the albumin-bilirubin index (ALBI), and the NLR-PLR score were independent predictors of OS after HCC resection. Among these three models, the radiomic-clinical model exhibited the highest predictive performance, with C-indices of 0.789, 0.726, and 0.764 in the training, internal and external validation cohorts, respectively. Furthermore, the time-ROC curves for the radiomic-clinical model showed 1-year and 3-year AUCs of 0.837 and 0.845 in the training cohort, 0.801 and 0.880 in the internal validation cohort, and 0.773 and 0.840 in the external validation cohort. Calibration curves and DCA demonstrated the model's excellent calibration and clinical applicability. Conclusions: The nomogram combining CECT radiomic features and clinical variables provides an accurate prediction of OS after HCC resection. This model is beneficial for clinicians in developing individualized treatment strategies for patients with HCC.

Up-front resection for hepatocellular carcinoma: Assessing futility in the preoperative setting

OBJECTIVE

We sought to develop a predictive model to preoperatively identify patients with hepatocellular carcinoma (HCC) at risk of undergoing futile upfront liver resection (LR).

METHODS

Patients undergoing curative-intent LR for HCC were identified from a large multi-institutional database. Futile LR was defined by death or disease recurrence within six months postoperatively. Backward logistic regression was performed to identify factors associated with futility. Additionally, binary criteria were established for surgical candidacy, aiming to keep the likelihood of futility below 20 %.

RESULTS

Among 1633 patients with HCC, 264 (16.2 %) underwent futile upfront LR. Tumor burden score (TBS) (coefficient: 0.083, 95%CI: 0.067-0.099), alpha-fetoprotein (AFP) (coefficient: 0.254, 95%CI: 0.195-0.310), and albumin-bilirubin (ALBI) grade 2/3 (coefficient: 0.566, 95%CI: 0.420-0.718) were independently associated with an increased risk of futile LR. The model demonstrated strong discrimination and calibration in both derivation and validation cohorts. Low, intermediate, and high-risk groups were determined based on the risk model, each with an escalating likelihood of futility, worse histological features, and worse survival outcomes. Six distinct conditions based on AFP-adjusted-to-TBS criteria were established, all with a futility likelihood of less than 20 %. Patients fulfilling these criteria had significantly better long-term recurrence-free and overall survival. The futility risk model was made available online for wide clinical applicability: (https://altaf-pawlik-hcc-futilityofsurgery-calculator.streamlit.app/).

CONCLUSION

A preoperative risk model and AFP-adjusted-to-TBS criteria were developed and validated to predict the likelihood of futile LR among patients with HCC. This pragmatic clinical tool may assist clinicians in preoperative decision-making, helping them avoid futile surgery unlikely to offer long-term benefits.

Systemic treatment in patients with hepatocellular carcinoma and advanced liver dysfunction

Systemic therapy represents the standard of care treatment for patients with advanced hepatocellular carcinoma (HCC). Given the increased risk of death from cirrhosis-related complications in patients with advanced liver dysfunction, pivotal phase III trials traditionally limited inclusion to patients with Child-Pugh class A, where death is more likely to be attributed to HCC progression. Therefore, Western guidelines recommend the use of systemic therapies primarily in patients with preserved liver function. However, patients with HCC and Child-Pugh class B are commonly encountered in clinical practice, but due to limited prospective evidence, there is no clear guidance on their optimal management.In this recent advances article, we discuss how the clinical course of cirrhosis can affect eligibility to treatment in the modern era of systemic therapy for HCC, elaborate on strategies to improve liver function in HCC patients by targeting cirrhosis-related and tumour-related factors and summarise the current literature on systemic therapy in HCC patients with Child-Pugh class B. Based on this information, we finally propose a clinical algorithm on how to systematically approach patients with HCC and advanced liver dysfunction in clinical practice.

Predictive factors and prognostic models for Hepatic arterial infusion chemotherapy in Hepatocellular carcinoma: a comprehensive review

Hepatocellular carcinoma (HCC) is a prevalent and lethal cancer, often diagnosed at advanced stages where traditional treatments such as surgical resection, liver transplantation, and locoregional therapies provide limited benefits. Hepatic arterial infusion chemotherapy (HAIC) has emerged as a promising treatment modality for advanced HCC, enhancing anti-tumor efficacy through targeted drug delivery while minimizing systemic side effects. However, the heterogeneous nature of HCC leads to variable responses to HAIC, highlighting the necessity for reliable predictive indicators to tailor personalized treatment strategies. This review explores the factors influencing HAIC success, including patient demographics, tumor characteristics, biomarkers, genomic profiles, and advanced imaging techniques such as radiomics and deep learning models. Additionally, the synergistic potential of HAIC combined with immunotherapy and molecular targeted therapies is examined, demonstrating improved survival outcomes. Prognostic scoring systems and nomograms that integrate clinical, molecular, and imaging data are discussed as superior tools for individualized prognostication compared to traditional staging systems. Understanding these predictors is essential for optimizing HAIC efficacy and enhancing survival and quality of life for patients with advanced HCC. Future research directions include large-scale prospective studies, integration of multi-omics data, and advancements in artificial intelligence to refine predictive models and further personalize treatment approaches.

Incorporating ALBI Grade with Geriatric Nutritional Risk Index Enhances Hepatocellular Carcinoma Risk Stratification

Introduction

Despite its prognostic impact, nutritional status has not yet been integrated into the assessment of hepatocellular carcinoma (HCC). This study investigated the association between geriatric nutritional risk index (GNRI) and overall survival (OS) in patients with HCC using a nationwide registry.

Methods

Data from the Korea Central Cancer Registry between 2008 and 2019 were analyzed. We explored the integration of the GNRI with the albumin-bilirubin (ALBI) grade for prognostic stratification. Restricted cubic spline regression was used to assess the association between GNRI and survival, stratified by ALBI grade.

Results

Among the 16,416 treatment-naïve HCC patients, the ALBI grades were distributed as follows: grade 1, 7,409; grade 2, 7,445; and grade 3, 1,562. Patients were categorized according to Barcelona Clinic Liver Cancer (BCLC) stages: 5,132 stage 0/A, 2,608 stage B, 5,289 stage C, and 968 stage D. The median OS for all patients was 3.1 years (95% CI: 3.0-3.2) and significantly differed with the inclusion of ALBI grade and GNRI (p < 0.001). The effect of combining ALBI grade and GNRI was further evaluated for each BCLC stage. This risk stratification showed a significant correlation with OS for each BCLC stage (all p < 0.001), except for stage D (p = 0.082). Multivariate analysis revealed that a combination of favorable ALBI grade and high GNRI score was independently associated with decreased mortality risk.

Conclusion

The GNRI was significantly correlated with OS across ALBI grades and BCLC stages. Integrating the GNRI into the ALBI grade may enhance risk stratification for patients with HCC.

Dexamethasone improves clinical and biological tolerance of transcatheter arterial chemoembolization for hepatocellular carcinoma

BACKGROUND

Transarterial chemoembolization (TACE) is widely used for hepatocellular carcinoma treatment but side effects hamper tolerance. Dexamethasone reduces TACE side effects in patients with viral hepatitis, but data regarding alcohol and metabolic liver diseases are lacking. We aimed to evaluate the efficacy of dexamethasone in preventing TACE-associated adverse events in European populations with predominantly alcoholic and metabolic cirrhosis.

METHODS

All cirrhotic patients undergoing TACE in our center between 2017 and 2021 were included. Dexamethasone was added to our protocol from 2019. Using a quasi-experimental study design, patients before and after introduction of dexamethasone in our procedure were compared. Factors associated with TACE adverse events were assessed by univariate and multivariate analysis. A sensitivity analysis was performed using propensity scores for covariate adjustment.

RESULTS

234 patients undergoing 398 TACE procedure were included. Cirrhosis was predominantly of alcohol or metabolic etiology (86.7 %). Dexamethasone was administered in 99 procedures (24.9 %). Incidence of fever and encephalopathy at day 2 after TACE was lower in the Dexamethasone group (p < 0.001; p = 0.02 respectively). In multivariate analysis, dexamethasone was associated with lower occurrence of fever (OR=0.03; p < 0.001), lower analgesics use (OR=0.11; p = 0.002), milder liver and kidney function impairment (OR=0.98; p = 0.001 and OR=0.94; p < 0.001 for bilirubin and creatinine variation respectively). Propensity score-adjusted analyses yielded similar results.

CONCLUSION

Dexamethasone improves TACE tolerance in a population of predominantly metabolic and alcohol cirrhosis.

Hepatic decompensation is the major driver of mortality in patients with HCC treated with atezolizumab plus bevacizumab: The impact of successful antiviral treatment

BACKGROUND AND AIMS

Unlike other malignancies, hepatic functional reserve competes with tumor progression in determining the risk of mortality from hepatocellular carcinoma (HCC). However, the relative contribution of hepatic decompensation over tumor progression in influencing overall survival (OS) has not been assessed in combination immunotherapy recipients.

APPROACH AND RESULTS

From the AB-real observational study (n = 898), we accrued 571 patients with advanced/unresectable hepatocellular carcinoma, Child-Pugh A class treated with frontline atezolizumab + bevacizumab (AB). Hepatic decompensation and tumor progression during follow-up were studied in relationship to patients' OS using a time-dependent Cox model. Baseline characteristics were evaluated as predictors of decompensation in competing risks analysis. During a median follow-up of 11.0 months (95% CI: 5.1-19.7), 293 patients (51.3%) developed tumor progression without decompensation, and 94 (16.5%) developed decompensation. In multivariable time-dependent analysis, decompensation (HR: 19.04, 95% CI: 9.75-37.19), hepatocellular carcinoma progression (HR: 9.91, 95% CI: 5.85-16.78), albumin-bilirubin (ALBI) grade 2/3 (HR: 2.16, 95% CI: 1.69-2.77), and number of nodules >3(HR: 1.63, 95% CI: 1.28-2.08) were independently associated with OS. Pretreatment ALBI grade 2/3 (subdistribution hazard ratio [sHR]: 3.35, 95% CI: 1.98-5.67) was independently associated with decompensation, whereas viral etiology was protective (sHR: 0.55, 95% CI: 0.34-0.87). Among patients with viral etiology, effective antiviral treatment was significantly associated with a lower risk of decompensation (sHR: 0.48, 95% CI: 0.25-0.93).

CONCLUSIONS

Hepatic decompensation identifies patients with the worst prognosis following AB and is more common in patients with baseline ALBI >1 and nonviral etiology. Effective antiviral treatment may protect from decompensation, highlighting the prognostic disadvantage of patients with nonviral etiologies and the importance of multidisciplinary management to maximize OS.

Surgical treatment for hepatocellular carcinoma in era of multidisciplinary strategies

Hepatocellular carcinoma (HCC) remains a significant global health challenge, with over 800,000 new cases diagnosed annually. This comprehensive review examines current surgical approaches and emerging multidisciplinary strategies in HCC treatment. While traditional surgical criteria, such as the Barcelona Clinic Liver Cancer (BCLC) staging system, have been relatively conservative, recent evidence from high-volume Asian centers supports more aggressive surgical approaches in carefully selected patients. The review discusses the evolution of selection criteria, including the new "Borderline Resectable HCC" classification system, which provides more explicit guidance for surgical decision-making. Technical innovations have significantly enhanced surgical precision, including three-dimensional simulation, intraoperative navigation systems, and the advancement of minimally invasive approaches. The review evaluates the ongoing debate between anatomical versus non-anatomical resection and examines the emerging role of robotic surgery. In liver transplantation, expanded criteria beyond the Milan criteria show promising outcomes, while the integration of novel biomarkers and imaging techniques improves patient selection. The role of preoperative and adjuvant therapies is increasingly important, with recent trials demonstrating the potential of immune checkpoint inhibitors combined with anti-VEGF agents in both settings. Despite these advances, postoperative recurrence remains a significant challenge. The review concludes that successful HCC treatment requires a personalized approach, integrating surgical expertise with emerging technologies and systemic therapies while considering individual patient factors and regional variations in practice patterns.

Albi score predicts overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with selective internal radiation therapy (SIRT)

PURPOSE

We aimed to evaluate the prognostic impact of baseline clinical features and treatment procedure, including liver function measured with albumin-bilirubin (ALBI) formula and dosing methods in HCC patients treated with SIRT.

MATERIAL AND METHODS

The study includes 82 consecutive patients with liver-dominant HCC treated with SIRT (90Y glass microspheres, TheraSphereTM) between October 2014 and September 2023. Twenty-five patients were treated with standard dosimetry, while for remaining patients, multi-compartment dosimetry was performed using Simplicit90YTM software. Impact of baseline patient's characteristics including presence of portal vein thrombosis (PVT), Child-Pugh score (CP), ALBI score, bilirubin levels, tumor size and prior locoregional liver-directed or systemic treatments was assessed through multivariable Cox proportional hazard model.

RESULTS

Median follow-up after treatment was 40.0 months (15.2-67.9). At univariable analysis, ALBI score and bilirubin levels were found to be independent prognostic factors for survival after SIRT (p = 0.001, respectively); furthermore, at Cox proportional hazards analysis, HR for death of ALBI 2 versus ALBI 1 was 10.54 (95% CI, 1.42-78.19, p = 0.021), while despite not significant, HR in patients with bilirubin levels over 1.1 mg/dl was 2.67 (0.75-9.44, p = 0.118). Conversely, no significant association was found between OS and cirrhosis, tumor size and PVT.

CONCLUSION

ALBI score demonstrated to impact OS in HCC patients treated with SIRT thus going beyond a simple prediction of treatment-related toxicity. The present results are relevant for the selection of HCC patients for SIRT in a real-world clinical setting.

Preoperative serum total bilirubin-albumin ratio as a prognostic indicator in patients with hepatitis-related cirrhosis after splenectomy

BACKGROUND

Splenectomy is an effective yet invasive intervention for alleviating portal pressure in patients with hepatitis cirrhosis. However, the current prognostic indicators for predicting long-term overall survival of these patients have several limitations.

AIM

To assess the potential of preoperative total bilirubin-albumin (B/A) ratio as a prognostic indicator for patients with hepatitis cirrhosis undergoing splenectomy.

METHODS

A total of 257 patients diagnosed with hepatitis cirrhosis were retrospectively enrolled in the study. Normality test, t-test, Wilcoxon test, χ 2 test, or Fisher's exact test was employed to analyze the intraoperative and postoperative conditions of the patients. Receiver operating characteristic (ROC) curve analysis was utilized to depict the 10-year overall survival rate.

RESULTS

During the follow-up period, 85.99% of the patients survived, with a median survival time of 64.6 months. Multivariate analysis revealed that total serum B/A ratio was an independent risk factor for overall survival (P = 0.037). ROC curve analysis demonstrated that a B/A ratio of 0.87 was the optimal cut-off value. Consequently, the patients were categorized into two groups: High B/A group (n = 64) and low B/A group (n = 193). The median follow-up time for the high B/A group and low B/A group was 56.8 months and 67.2 months, respectively (P = 0.045). Notably, the high B/A group exhibited a significantly lower 10-year overall survival compared to the low B/A group (P < 0.001). Patients with hepatocellular carcinoma (HCC) had lower overall survival rates. Patients with a high B/A ratio exhibited a lower overall survival than those with a low B/A rate in the overall cohort and the subgroups of patients with HCC or not, early Child-Pugh grade, low albumin-bilirubin grade, and model for end-stage liver disease score ≥ 10 (log-rank test, P < 0.001 for all).

CONCLUSION

The B/A ratio can serve as an effective prognostic indicator for overall survival in patients with hepatitis B virus-related cirrhosis following splenectomy, and a higher B/A ratio may suggest a poorer prognosis.

The relationship between echocardiographic parameters and albumin bilirubin score in patients with acute pulmonary thromboembolism

PURPOSE

The Albumin-Bilirubin (ALBI) score is useful and easy-to-use for objectively assessing liver function. We investigated whether the ALBI score, a parameter indicating liver stiffness, congestion and fibrosis, has any relationship with echocardiographic parameters in patients with acute pulmonary thromboembolism (PTE).

MATERIAL AND METHODS

A total of 140 patients diagnosed with acute PTE were retrospectively analyzed. These patients were divided into three groups according to the hemodynamic severity of acute PTE: Group I [Low risk]; Group II [Submassive or intermediate-risk]; and Group III [Massive or high-risk]. Biochemical data obtained from venous blood samples taken at admission were analyzed. In addition, data were also analyzed from transthoracic echocardiography and pulmonary computed tomographic angiography performed at admission. ALBI, Bova, and PESI scores were calculated.

RESULTS

ALBI scores (-3.32 ± 0.21 vs -2.86 ± 0.15 vs -2.46 ± 0.2, p < .001) were statistically significantly higher in Group III than Groups I and II. There was a significant difference between the three groups in terms of echocardiographic parameters, and LVEF and TAPSE values tended to decrease from group I to group III. In multivariate linear regression analysis, sPAP, RV/RA diameter, and NT-pro-BNP were found to be significantly associated with the ALBI score. An ALBI score higher than -2.87 was associated with Bova stage II-III in patients with Group I and Group II PTE, with a sensitivity of 87% and a specificity of 62% (AUC = 0.804; 95% CI 0.713-0.895; p < .001).

CONCLUSION

The ALBI score, which is a common, easy-to-use, and inexpensive method, may be beneficial to select intermediate and high-risk patients in patients with acute PTE. Additionally, it may have prognostic value in distinguishing low and intermediate-risk acute PTE patients.

Tumor burden with AFP improves survival prediction for TACE-treated patients with HCC: An international observational study☆

BACKGROUND & AIMS

Current prognostic models for patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) are not extensively validated and widely accepted. We aimed to develop and validate a continuous model incorporating tumor burden and biology for individual survival prediction and risk stratification.

METHODS

Overall, 4,377 treatment-naive candidates for whom TACE was recommended, from 39 centers in five countries, were enrolled and divided into training, internal validation, and two external validation datasets. The novel model was developed using a Cox multivariable regression analysis and compared with our original 6-and-12 model (the largest tumor size [ts, centimetres] + tumor number [tn]) and other available models in terms of predictive accuracy.

RESULTS

The proposed model, named the '6-and-12 model 2.0', was generated as 'ts + tn + 1.5×log10 alpha-fetoprotein (AFP)', showed good discrimination (C-index 0.674) and calibration (Hosmer-Lemeshow test p = 0.147), and outperformed current existing models. An easy-to-use stratification was proposed according to the different AFP levels (≤100, 100-400, 400-2,000, 2,000-10,000, 10,000-40,000, and >40,000 ng/ml) along with the corresponding tumor burden cutoffs (8/14, 7/13, 6/12, 5/11, 4/10, and any tumor burden); that is, if the AFP level was 400-2,000 ng/ml, the stratification should be low-(≤6)/intermediate-(6-12)/high-risk (>12) strata. Hence, it could divide the patients into three distinct risk categories with a median overall survival of 45.0 (95% CI, 40.1-49.9), 30.0 (95% CI, 26.1-33.9), and 15.4 (95% CI, 13.4-17.4) months (p <0.001) from low-risk to high-risk strata, respectively. These findings were confirmed in validation and subgroup analyses.

CONCLUSIONS

The 6-and-12 model 2.0 significantly improved individual outcome predictions and better stratified the candidates recommended for TACE; thus, this model could be used in both clinical practice and trial design.

IMPACT AND IMPLICATIONS

In this international multicentre study, we developed and internally and externally validated a novel outcome prediction model for candidates with HCC who would be ideal for TACE. The model, called the 6-and-12 model 2.0, was based on 4,377 patients from 39 centers in five countries. The model offers individualized outcome prediction, outperforming the original 6-and-12 model score and other existing metrics across all datasets and subsets. Based on different levels of alpha-fetoprotein (AFP) and corresponding cut-offs of tumor burden, patients could be stratified into three risk strata with significantly different survival prognoses, which could provide a referential framework to control study heterogeneity and define the target population in future trial designs.

Total bile acid as a preoperative risk factor for post-hepatectomy liver failure in patients with hepatocellular carcinoma and normal bilirubin

BACKGROUND AND AIMS

Total bile acid (TBA) is associated with portal hypertension, a risk factor for post-hepatectomy liver failure (PHLF). We conducted this study to clarify whether TBA is also associated with PHLF in patients with hepatocellular carcinoma (HCC).

METHODS

We recruited patients with HCC and Child-Pugh class A, who underwent liver resection, and applied multivariate analyses to identify risk factors for PHLF.

RESULTS

We analyzed data from 154 patients. The prevalence of PHLF was 14.3%. The median maximum tumor diameter was 5.1 cm (2.9-6.9 cm). The proportions of patients with elevated TBA levels (P = 0.001), severe albumin-bilirubin (AIBL) grades (P = 0.033), and low platelet counts (P = 0.031) were significantly higher within the subgroup of patients with PHLF than in the subgroup without PHLF. The multivariate analysis results suggest that TBA level (OR, 1.08; 951.03-1.14; P = 0.003) and MRI tumor diameter (OR, 1.17; 95% CI, 1.01-1.35; P = 0.038) are independent preoperative risk factors for PHLF. The TBA levels correlated with the indocyanine green retention rate at 15 minutes (P = 0.001) and the effective hepatic blood flow (P < 0.001), two markers of portal hypertension. However, TBA levels did not correlate with tumor diameter (P = 0.536).

CONCLUSIONS

Compared to ICG R15 and AIBL score, preoperative TBA was risk factor for PHLF in Chinese patients with HCC, and it may impact PHLF through its potential role as a marker of portal hypertension.

Prognostic utility of the modified albumin-bilirubin score among patients undergoing curative-intent surgery for gallbladder cancer

BACKGROUND

Gallbladder cancer (GBC) has been associated with high rates of recurrence and dismal prognosis even after curative-intent resection. The prognostic utility of the modified albumin-bilirubin (mALBI) score among individuals undergoing curative-intent resection for GBC has not been determined.

METHODS

Patients who underwent radical resection for GBC between 2000 and 2022 were identified from an international, multi-institutional database. Preoperative albumin and bilirubin levels were used to calculate the mALBI score. The relationship among mALBI score, overall survival (OS), and recurrence-free survival (RFS) was examined.

RESULTS

Among 269 patients who underwent radical resection for GBC, 161 (59.9%) had mALBI grade 1, 48 (17.8%) had grade 2a, 47 (17.5%) had grade 2b, and 13 (4.8%) had mALBI grade 3. After surgery, compared with patients with a low mALBI grade (grade 1/2a), individuals with a high mALBI grade (grade 2b/3) had worse 5-year OS (54.4% vs 19.2%, respectively; P < .001) and RFS (42.0% vs 17.8%, respectively; P < .001). On multivariable analysis, after controlling for relevant clinicopathologic variables, individuals with a high mALBI score remained independently associated with higher risks of death and recurrence (OS: hazard ratio [HR], 2.38 [95% CI, 1.50-3.79]; RFS: HR, 2.12 [95% CI 1.41-3.20]) versus patients with a low mALBI score after curative-intent resection for GBC. Of note, mALBI score was associated with incrementally worse survival within T2, T3, and N+ categories, whereas classic American Joint Committee on Cancer subclassifications failed to distinguish patients with long-term survival.

CONCLUSION

The mALBI score presents a simple, objective measure of hepatic functional reserve and may be a useful prognostic tool for patients undergoing curative-intent resection for GBC.

First-Line Camrelizumab Plus Rivoceranib in Advanced Hepatocellular Carcinoma: A China-Based Cost-Effectiveness Analysis

Background

Hepatocellular carcinoma poses a significant public health burden in China, necessitating the economic evaluation of new therapeutic strategies for policy-makers and clinicians. The international, randomized phase 3 trial CARES-310 revealed that camrelizumab plus rivoceranib provided a substantial clinical benefit in patients with advanced hepatocellular carcinoma, but the economic outcome remains unclear. This study aimed to evaluate the cost-effectiveness of camrelizumab plus rivoceranib versus sorafenib as first-line treatment for unresectable hepatocellular carcinoma (CARES-310) from the perspective of the Chinese health care system.

Methods

A partitioned survival model was developed to estimate the lifetime cost and clinical outcomes of camrelizumab plus rivoceranib versus sorafenib in first-line treatment of advanced hepatocellular carcinoma. Survival data from the CARES-310 trial were used to create a hypothetical cohort of 543 patients with advanced hepatocellular carcinoma for modeling disease progression. The life-year, quality-adjusted life-year (QALY), incremental cost-effectiveness ratio (ICER) was used to measure the model's outcome, with the willingness-to-pay threshold set at 3 times China's gross domestic product (GDP) per capita (US$36 780). Univariate, multivariable probabilistic sensitivity analyses, and subgroup analysis were performed to assess parameter uncertainty, complemented by a scenario analysis using health utilities reported in literature.

Results

The camrelizumab group yielded an additional 0.239 QALYs at an added cost of US$8340 compared with sorafenib, resulting in an ICER of US$34 897/QALY. Univariate sensitivity analysis indicated that the model results were most sensitive to the utility of progression-free survival in the camrelizumab group, sorafenib cost, and camrelizumab cost. Probabilistic sensitivity analysis revealed a 56% probability of cost-effectiveness of camrelizumab plus rivoceranib among all patients. The results of the subgroup analysis demonstrated camrelizumab plus rivoceranib was the most cost-effective in the subgroup with albumin-bilirubin grade 2.

Conclusions

At a willingness-to-pay threshold of US$36 780/QALY, camrelizumab plus rivoceranib is likely to be a cost-effective option compared with sorafenib as first-line treatment for advanced hepatocellular carcinoma in China.

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

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

Prognostic Evaluation for Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Patients Treated with Transarterial Chemoembolization Plus Molecular Targeted Therapies-Development and Validation of the ABPS Score

RATIONALE AND OBJECTIVES

Transarterial chemoembolization (TACE) plus molecular targeted therapies has emerged as the main approach for treating hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT). A robust model for outcome prediction and risk stratification of recommended TACE plus molecular targeted therapies candidates is lacking. We aimed to develop an easy-to-use tool specifically for these patients.

METHODS

A retrospective analysis was conducted on 384 patients with HCC and PVTT who underwent TACE plus molecular targeted therapies at 16 different institutions. We developed and validated a new prognostic score which called ABPS score. Additionally, an external validation was performed on data from 200 patients enrolled in a prospective cohort study.

RESULTS

The ABPS score (ranging from 0 to 3 scores), which involves only Albumin-bilirubin (ALBI, grade 1: 0 score; grade 2: 1 score), PVTT(I-II type: 0 score; III-IV type: 1 score), and systemic-immune inflammation index (SII,<550 × 1012: 0 score; ≥550 × 1012: 1 score). Patients were categorized into three risk groups based on their ABPS score: ABPS-A, B, and C (scored 0, 1-2, and 3, respectively). The concordance index (C-index) of the ABPS scoring system was calculated to be 0.802, significantly outperforming the HAP score (0.758), 6-12 (0.712), Up to 7 (0.683), and ALBI (0.595) scoring systems (all P < 0.05). These research findings were further validated in the external validation cohorts.

CONCLUSION

The ABPS score demonstrated a strong association with survival outcomes and radiological response in patients undergoing TACE plus molecular targeted therapy for HCC with PVTT. The ABPS scoring system could serve as a valuable tool to guide treatment selection for these patients.

Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma

Liver cancer is a global health challenge, causing a significant social-economic burden. Hepatocellular carcinoma (HCC) is the predominant type of primary liver cancer, which is highly heterogeneous in terms of molecular and cellular signatures. Early-stage or small tumors are typically treated with surgery or ablation. Currently, chemotherapies and immunotherapies are the best treatments for unresectable tumors or advanced HCC. However, drug response and acquired resistance are not predictable with the existing systematic guidelines regarding mutation patterns and molecular biomarkers, resulting in sub-optimal treatment outcomes for many patients with atypical molecular profiles. With advanced technological platforms, valuable information such as tumor genetic alterations, epigenetic data, and tumor microenvironments can be obtained from liquid biopsy. The inter- and intra-tumoral heterogeneity of HCC are illustrated, and these collective data provide solid evidence in the decision-making process of treatment regimens. This article reviews the current understanding of HCC detection methods and aims to update the development of HCC surveillance using liquid biopsy. Recent critical findings on the molecular basis, epigenetic profiles, circulating tumor cells, circulating DNAs, and omics studies are elaborated for HCC diagnosis. Besides, biomarkers related to the choice of therapeutic options are discussed. Some notable recent clinical trials working on targeted therapies are also highlighted. Insights are provided to translate the knowledge into potential biomarkers for detection and diagnosis, prognosis, treatment response, and drug resistance indicators in clinical practice.

TACE plus lenvatinib and tislelizumab for intermediate-stage hepatocellular carcinoma beyond up-to-11 criteria: a multicenter cohort study

Background

Intermediate-stage (BCLC-B) hepatocellular carcinoma (HCC) beyond the up-to-11 criteria represent a significant therapeutic challenge due to high and heterogeneous tumor burden. This study evaluated the effectiveness and safety of transarterial chemoembolization (TACE) in combination with lenvatinib and tislelizumab for these patients.

Methods

In this retrospective cohort study, patients with unresectable intermediate-stage HCC beyond the up-to-11 criteria were enrolled and divided into TACE monotherapy (T), TACE combined with lenvatinib (TL), or TACE plus lenvatinib and tislelizumab (TLT) group based on the first-line treatment, respectively. The primary endpoint was overall survival (OS). The secondary outcomes included progression-free survival (PFS), tumor response according to RESIST1.1 and modified RECIST, and adverse events (AEs).

Results

There were 38, 45, and 66 patients in the T, TL, and TLT groups, respectively. The TLT group exhibited significantly higher ORR and DCR than the other two groups, as assessed by either mRECIST or RECIST 1.1 (all P<0.05). Median PFS and OS were significantly longer in the TLT group compared with the T group (PFS: 8.5 vs. 4.4 months; OS: 31.5 vs. 18.5 months; all P<0.001) and TL group (PFS: 8.5 vs. 5.5 months; OS: 31.5 vs. 20.5 months; all P<0.05). The incidence of TRAEs was slightly higher in the TLT and TL groups than in the T group, while all the toxicities were tolerable. No treatment-related death occurred in all groups.

Conclusions

TACE combined with lenvatinib and tislelizumab significantly improved the survival benefit compared with TACE monotherapy and TACE plus lenvatinib in patients with intermediate-stage HCC beyond the up-to-11 criteria, with an acceptable safety profile.

Evaluation and Management of Unresectable Hepatocellular Carcinoma: Multidisciplinary Indian Consensus Statements from a Delphi Panel

Background India, like many parts of Asia, likely faces a high burden of hepatocellular carcinoma (HCC), though large-scale data on etiology, presentation, and outcomes are lacking. There appears to be a predominance of unresectable, advanced-stage HCC at presentation in India with variable level of expertise in India to manage these scenarios. This publication summarizes the latest evidence with cognizance of the unique challenges faced in India by treating clinicians.

Methods A multidisciplinary panel of medical oncologists, gastroenterologists, hepatologists, interventional radiologists, and hepatobiliary surgical oncologists held a meeting in June 2022 and reviewed the evidence available for management of HCC. The meeting concentrated on the recognition and management of HCC not amenable to surgical approaches in the Indian context. A literature review of these aspects of management was conducted and consensus statements with level of evidence and grades of recommendation were prepared by individual specialists in each field. Statements were evaluated by the modified Delphi method.

Key Content and Findings The panel comprising 22 experts formulated 40 consensus statements with regard to defining unresectable HCC, optimization of underlying conditions prior to management, rationale use of various liver-directed therapies (LDTs) in unresectable HCC, and systemic therapeutic options in this group of patients.

Conclusion Our consensus statements offer practical, yet evidence-based management guidelines for treating unresectable HCC in the Indian context. There is an emphasis on the crucial need for combining available approaches for LDT, even if less well studied though possibly effective, with standard systemic therapy.

The conditional recurrence-free survival after R0 hepatectomy for locally advanced intrahepatic cholangiocarcinoma: A competing risk analysis based on inflammation-nutritional status

Background

Conditional survival analysis can serve as a dynamic prognostic metric, which helps to estimate the real-time survival probability over time. The present study conducted a conditional recurrence-free survival (CRFS) analysis for locally advanced intrahepatic cholangiocarcinoma (ICC) after R0 hepatectomy from an inflammatory-nutritional perspective using the competing risk method.

Methods

We extracted the medical data of 164 locally advanced ICC patients after R0 resection from Sun Yat-sen University Cancer Center. The calculation formula of the CRFS rate is CRFS(y/x) = RFS(y + x)/RFS(x). Univariable and multivariable COX regression analysis and competing risk analysis were conducted to identify RFS indicators.

Results

Considering death before recurrence as a competing risk factor, the conditional RFS rates every 6 months gradually increased over time. The 24-month RFS rate increased from 29.2 % to 49.9 %, 68.5 %, and 85.1 % given 6, 12, and 18-month already recurrence-free survival, respectively. Both in multivariate COX regression analysis and competing risk analysis, tumor diameter and number, lymph node metastasis, aggregate systemic inflammation index score (AISI), and albumin-bilirubin score (ALBI) all remained significant. For both AISI and ALBI variables, the CRFS rates in the low-value set were higher than those of the high-value set.

Conclusions

Conditional RFS rates of locally advanced ICC after R0 hepatectomy dynamically increased over time, which contributed to reducing survivors' psychological distress and facilitating personalized follow-up schedules. In addition, a person's inflammatory and nutritional status significantly impact the recurrence risk. Oncologists should consider the role of inflammation-nutritional status when making decisions for patients with locally advanced ICC.

Prognostic performance of MRI LI-RADS version 2018 features and clinical-pathological factors in alpha-fetoprotein-negative hepatocellular carcinoma

PURPOSE

To evaluate the role of the magnetic resonance imaging (MRI) Liver Imaging Reporting and Data System (LI-RADS) version 2018 features and clinical-pathological factors for predicting the prognosis of alpha-fetoprotein (AFP)-negative (≤ 20 ng/ml) hepatocellular carcinoma (HCC) patients, and to compare with other traditional staging systems.

METHODS

We retrospectively enrolled 169 patients with AFP-negative HCC who received preoperative MRI and hepatectomy between January 2015 and August 2020 (derivation dataset:validation dataset = 118:51). A prognostic model was constructed using the risk factors identified via Cox regression analysis. Predictive performance and discrimination capability were evaluated and compared with those of two traditional staging systems.

RESULTS

Six risk factors, namely the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade, were associated with recurrence-free survival. The prognostic model constructed using these factors achieved C-index of 0.705 and 0.674 in the derivation and validation datasets, respectively. Furthermore, the model performed better in predicting patient prognosis than traditional staging systems. The model effectively stratified patients with AFP-negative HCC into high- and low-risk groups with significantly different outcomes (p < 0.05).

CONCLUSION

A prognostic model integrating the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade may serve as a valuable tool for refining risk stratification in patients with AFP-negative HCC.

Navigating the landscape of liver cancer management: Study designs in clinical trials and clinical practice

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer death worldwide and its prognosis is highly heterogeneous, being related not only to tumour burden but also to the severity of underlying chronic liver disease. Moreover, advances in systemic therapies for HCC have increased the complexity of patient management. Randomised-controlled trials represent the gold standard for evidence generation across all areas of medicine and especially in the oncology field, as they allow for unbiased estimates of treatment effect without confounders. Observational studies have many problems that could reduce their internal and external validity. However, large prospective (well-conducted) observational real-world studies can detect rare adverse events or monitor the occurrence of long-term adverse events. How best to harness real world data, which refers to data generated from the routine care of patients, and real-world 'evidence', which is the evidence generated from real-world data, represents an open challenge. In this review article, we aim to provide an overview of the benefits and limitations of different study designs, particularly focusing on randomised-controlled trials and observational studies, to address important and not fully resolved questions in HCC research.

Insights in Molecular Therapies for Hepatocellular Carcinoma

We conducted a comprehensive review of the current literature of published data and clinical trials (MEDLINE), as well as published congress contributions and active recruiting clinical trials on targeted therapies in hepatocellular carcinoma. Combinations of different agents and medical therapy along with radiological interventions were analyzed for the setting of advanced HCC. Those settings were also analyzed in combination with adjuvant situations after resection or radiological treatments. We summarized the current knowledge for each therapeutic setting and combination that currently is or has been under clinical evaluation. We further discuss the results in the background of current treatment guidelines. In addition, we review the pathophysiological mechanisms and pathways for each of these investigated targets and drugs to further elucidate the molecular background and underlying mechanisms of action. Established and recommended targeted treatment options that already exist for patients are considered for systemic treatment: atezolizumab/bevacizumab, durvalumab/tremelimumab, sorafenib, lenvatinib, cabozantinib, regorafenib, and ramucirumab. Combination treatment for systemic treatment and local ablative treatment or transarterial chemoembolization and adjuvant and neoadjuvant treatment strategies are under clinical investigation.

Association of easy albumin-bilirubin score with increased mortality in adult trauma patients

INTRODUCTION

The easy albumin-bilirubin (EZ-ALBI) score is calculated using the equation: total bilirubin (mg/dl) - 9 × albumin (g/dl), and is used to evaluate liver functional reserve. This study was designed to investigate whether the EZ-ALBI score serves as an independent risk factor for mortality and is useful for stratifying the mortality risk in adult trauma patients.

METHODS

We retrospectively reviewed data from the registered trauma database of the hospital and included 3,637 adult trauma patients (1,241 deaths and 2,396 survivors) due to all trauma caused between January 1, 2009, and December 31, 2021. The patients were allocated to the two study groups based on the best EZ-ALBI cutoff point (EZ-ALBI = -28.5), which was determined based on the area under the receiver operating characteristic curve.

RESULTS

Results revealed that the non-survivors had a significantly higher EZ-ALBI score than the survivors (-26.4 ± 6.5 vs. -31.5 ± 6.2, p < 0.001). Multivariate logistic regression analysis revealed that EZ-ALBI ≥ -28.5was an independent risk factor for mortality (odds ratio, 2.31; 95% confidence interval, 1.63-3.28; p < 0.001). Patients with an EZ-ALBI score ≥ -28.5 presented with 2.47-fold higher adjusted mortality rates than patients with an EZ-ALBI score < -28.5. A propensity score-matched pair cohort of 1,236 patients was developed to reduce baseline disparities in trauma mechanisms. The analysis showed that patients with an EZ-ALBI score ≥ -28.5 had a 4.12 times higher mortality rate compared to patients with an EZ-ALBI score < -28.5.

CONCLUSION

The EZ-ALBI score was a significant independent risk factor for mortality and can serve as a valuable tool for stratifying mortality risk in adult trauma patients by all trauma causes.

Development of novel prognostic models based on dynamic changes in risk factors for hepatitis B associated acute-on-chronic liver failure:a 10-year retrospective study

Background/Aims

Acute-on-chronic liver failure (ACLF) is associated with high short-term mortality, and early prediction is critical to reduce the deaths of ACLF patients. To date, however, the prognostic accuracy of current models for ACLF is unsatisfactory, particularly, in patients with hepatitis B virus (HBV) infection. This study aims to develop novel prognostic models based on the dynamic changes in variables to predict the short-term mortality of HBV-associated ACLF (HBV-ACLF).

Methods

A retrospective cohort study was conducted, with the population comprised in whom ACLF was confirmed.319 patients were enrolled and their clinical data were collected on Days 1 and 7 following hospital admission. Univariate and multivariate analyses were performed to identify risk factors for 28 and 90-day mortality. The dynamic alterations in the risk factors were further analyzed, and Days 1 and 7 prognostic models were constructed. Receiver operating characteristic (ROC) analysis were used to identify and compared the predictors of prognosis among our model.

Results

Univariate and multivariate analyses revealed significant risk factors at Days 1 and 7, which when combined with the clinically important parameters, were used to establish the Days 1 and 7 prognostic models. For 28-day mortality, the predictive accuracy of the Day 1 prognostic model was significantly higher than that of the albumin-bilirubin (ALBI) model. For 90-day mortality, the predictive accuracy of the Days 1 and 7 prognostic models was significantly higher than that of the Model of End-Stage Liver Disease (MELD), MELD-sodium (MELD-Na), and ALBI prognostic models.

Conclusions

The prognostic models established in this study were superior to the existing prognostic scoring systems to accurately predict short-term mortality, and therefore, could be potential novel prognostic tools for HBV-ACLF.

The Performance of a Survival Nomogram and Albumin-Bilirubin Grade as Prognostic Tools in Advanced Hepatocellular Carcinoma Treated with FOLFOX4

BACKGROUND

The ability of the survival nomogram developed in the EACH study and albumin-bilirubin (ALBI) grade to predict the survival of advanced hepatocellular carcinoma (HCC) patients receiving oxaliplatin plus 5-fluorouracil/leucovorin (FOLFOX4) remains unvalidated. Here, we comprehensively evaluated these prognostic tools.

METHODS

The survival nomogram and ALBI grade of each patient were assessed, and the area under the receiver operating curve (AUROC) and Harrell's C-index for the risk classification model were calculated.

RESULTS

Overall, 76 HCC patients who received FOLFOX4 between August 2017 and June 2023 were included. The survival nomogram classified patients into low-, intermediate-, and high-risk groups, with a median overall survival (OS) of 9.82, 10.64, and 3.70 months, respectively (p = 0.23). The AUROC was 0.621 and Harrell's C-index was 0.589. However, the ALBI grade categorized all patients into grade 1, 2, and 3, with a median OS of 9.82, 6.83, and 1.58 months, respectively (p = 0.00024). The AUROC was 0.663 and Harrell's C-index was 0.663.

CONCLUSION

The ALBI grade can be a potential prognostic tool. However, the survival nomogram does not provide clear discrimination. Therefore, FOLFOX4 should be an option for patients with ALBI grade 1 who cannot receive immunotherapy or targeted therapy. Additional prospective studies with a larger cohort are warranted to validate the survival nomogram and ALBI grade as prognostic tools.

Evaluation of models to predict prognosis in patients with advanced hepatocellular carcinoma treated with TACE combined with apatinib

BACKGROUND

The HAP, Six-and-Twelve, Up to Seven, and ALBI scores have been substantiated as reliable prognostic markers in patients presenting with intermediate and advanced hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) treatment. Given this premise, our research aims to assess the predictive efficacy of these models in patients with intermediate and advanced HCC receiving a combination of TACE and Apatinib. Additionally, we have conducted a meticulous comparative analysis of these four scoring systems to discern their respective predictive capacities and efficacies in combined therapy.

METHODS

Performing a retrospective analysis on the clinical data from 200 patients with intermediate and advanced HCC, we studied those who received TACE combined with Apatinib at the First Affiliated Hospital of the University of Science and Technology of China between June 2018 and December 2022. To identify the factors affecting survival, the study performed univariate and multivariate Cox regression analyses, with calculations of four different scores: HAP, Six-and-Twelve, Up to Seven, and ALBI. Lastly, Harrell's C-index was employed to compare the prognostic abilities of these scores.

RESULTS

Cox proportional hazards model results revealed that the ALBI score, presence of portal vein tumor thrombus (PVTT, )and tumor size are independent determinants of prognostic survival. The Kaplan-Meier analyses showed significant differences in survival rates among patients classified by the HAP, Six-and-Twelve, Up to Seven, and ALBI scoring methods. Of the evaluated systems, the HAP scoring demonstrated greater prognostic precision, with a Harrell's C-index of 0.742, surpassing the alternative models (P < 0.05). In addition, an analysis of the area under the AU-ROC curve confirms the remarkable superiority of the HAP score in predicting short-term survival outcomes.

CONCLUSION

Our study confirms the predictive value of HAP, Six-and-Twelve, Up to Seven, and ALBI scores in intermediate to advanced Hepatocellular Carcinoma (HCC) patients receiving combined Transarterial Chemoembolization (TACE) and Apatinib therapy. Notably, the HAP model excels in predicting outcomes for this specific HCC subgroup.

Treating liver cancer through arginine depletion

Liver cancer, the sixth most common cancer globally and the second-leading cause of cancer-related deaths, presents a critical public health threat. Diagnosis often occurs in advanced stages of the disease, aligning incidence with fatality rates. Given that established treatments, such as stereotactic body radiation therapy and transarterial radioembolization, face accessibility and affordability challenges, the emerging focus on cancer cell metabolism, particularly arginine (Arg) depletion, offers a promising research avenue. Arg-depleting enzymes show efficacy against Arg-auxotrophic cancers, including hepatocellular carcinoma (HCC). Thus, in this review, we explore the limitations of current therapies and highlight the potential of Arg depletion, emphasizing various Arg-hydrolyzing enzymes in clinical development.

The aMAP score predicts long-term outcomes after resection of hepatocellular carcinoma: a multi-institutional analysis

BACKGROUND

The aMAP score is a proposed model to predict the development of hepatocellular carcinoma (HCC) among high-risk patients with chronic hepatitis. The role of the aMAP score to predict long-term survival among patients following resection of HCC has not been determined.

METHODS

Patients undergoing resection for HCC between 2000 and 2020 were identified using a multi-institutional database. The impact of the aMAP score on long-term outcomes following HCC resection was assessed.

RESULTS

Among 1377 patients undergoing resection for HCC, a total of 972 (70.6 %) patients had a low aMAP score (≤63), whereas 405 (29.4 %) individuals had a high aMAP score (≥64). aMAP score was associated with 5-year OS in the entire cohort (low vs high aMAP score:66.5 % vs. 54.3 %, p < 0.001). aMAP score predicted 5-year OS following resection among patients with HBV-HCC (low vs. high aMAP:68.8 % vs. 55.6 %, p = 0.01) and NASH/other-HCC (64.7 % vs. 53.7, p = 0.04). aMAP score could sub-stratify 5-year OS among patients undergoing HCC resection within (low vs. high aMAP:81.5 % vs. 67.4 %, p < 0.001) and beyond (55.9 % vs. 38.8 %, p < 0.001) Milan criteria.

DISCUSSION

The aMAP score predicted postoperative outcomes following resection of HCC within and beyond Milan criteria. Apart from a surveillance tool, the aMAP score can also be used as a prognostic tool among patients undergoing resection of HCC.

A refined prediction model for survival in hepatocellular carcinoma patients treated with transarterial chemoembolization

Background/Aims

Transarterial chemoembolization (TACE) is widely performed as a major treatment for hepatocellular carcinoma (HCC) patients, and there is a need to stratify patients for whom the most benefit from the treatment. This study aimed to develop a refined prediction model for overall survival (OS) in patients undergoing TACE as a first-line treatment in a large cohort and validate its performance.

Methods

A total of 2,632 patients with HCC of Barcelona Clinic Liver Cancer stage A or B who underwent TACE between 2008 and 2017 were enrolled. The patients were randomly assigned to a training cohort (n = 1,304) or a validation cohort (n = 1,328). Independent predictors of OS were used to develop a prediction model.

Results

The median age of patients in the entire cohort was 63 years, with the majority having hepatitis B virus (56.6%) and being classified as Child-Pugh class A (82.4%). We developed a new prognostic model, called the TACE-prognostic (TP) score, based on tumor burden (sum of the largest tumor diameter and tumor number), alpha-fetoprotein, and Albumin-Bilirubin grade. Patients were classified into five risk groups according to TP scores, with median survival significantly differentiated in both training and validation cohorts (P < 0.001). The new model consistently outperformed other currently available models in both the training and validation cohorts.

Conclusion

This newly developed TP scoring system has the potential to be a useful tool in identifying ideal candidates of TACE and predicting OS with favorable performance and discrimination. However, further external validation is needed to confirm its effectiveness.

The Association Between Modified Albumin-Bilirubin (mALBI) and Survival in Advanced Non-small Cell Lung Cancer Patients Treated With Immunotherapy

OBJECTIVE

This study aimed to assess the clinical value of the modified albumin-bilirubin (mALBI) grade in predicting the survival of patients with advanced non-small cell lung cancer (NSCLC) treated with immunotherapy.

METHODS

We conducted a retrospective cohort study of patients with advanced NSCLC who received immune checkpoint inhibitors (ICIs) from January 2020 to May 2022. The primary endpoints were overall survival (OS), treatment response, and the association between different mALBI grades and survival.

RESULTS

In these 67 patients, 85.1% (57/67) were male, and the median age was 63 years. The patients with mALBI grades 1 and 2a at baseline had a median OS of 12.83 months (95% CI: 9.4 to 16.27 months), whereas it was 3.2 months (95% CI: NA to 11.59 months) for patients with mALBI grades 2b and 3. The OS for patients with dynamic mALBI grades 1 and 2a was 13.27 months (95% CI: 8.72 to 17.81 months), significantly longer than five months (95% CI: 2.47 to 7.53 months) for dynamic mALBI grades 2b and 3 patients (p<0.01).  Conclusion: In conclusion, mALBI grade may be a potential dynamic biomarker for predicting the prognosis in advanced NSCLC patients treated with immunotherapy.

Machine Learning Radiomics Liver Function Model for Prognostic Prediction After Radical Resection of Advanced Gastric Cancer: A Retrospective Study

PURPOSE

We aimed to establish a machine learning radiomics liver function model to explore how liver function affects the prognosis of patients with gastric cancer (GC).

METHODS

Patients with advanced GC were retrospectively enrolled in this study. Eight machine learning radiomic models were constructed by extracting radiomic features from portal-vein-phase contrast-enhanced computed tomography (CE-CT) images. Clinicopathological features were determined using univariate and multifactorial Cox regression analyses. These features were used to construct a GC survival nomogram.

RESULTS

A total of 510 patients with GC were split into training and test cohorts in an 8:2 ratio. Kaplan-Meier analysis showed that patients with type I liver function had a better prognosis. Fifteen significant features were retained to establish the machine learning model. LightBGM showed the best predictive performance in the training (area under the receiver operating characteristic curve [AUC] 0.978) and test cohorts (AUC 0.714). Multivariate analysis revealed that gender, age, liver function, Nutritional Risk Screening 2002 (NRS-2002) score, tumor-lymph node-metastasis stage, tumor size, and tumor differentiation were independent risk factors for GC prognosis. The survival nomogram based on machine learning radiomics, instead of liver biochemical indicators, still had high accuracy (C-index of 0.771 vs. 0.773).

CONCLUSION

The machine learning radiomics liver function model has high diagnostic value in predicting the influence of liver function on prognosis in patients with GC.

Relationship between echocardiographic parameters and ALBI score in patients with rheumatic mitral stenosis

An increase in the volume and pressure of the heart chambers has been shown to increase liver stiffness. The Albumin-Bilirubin (ALBI) score is useful and easy-to-use for objectively assessing liver function. There is no information in the literature regarding changes in ALBI scores in patients with rheumatic mitral stenosis (MS). The aim of our study was to investigate changes in ALBI score and its clinical impact in patients with MS. Of the 247 patients analyzed, 54 were excluded from the study. The remaining 193 patients with MS were divided into two groups: Group I (64 patients with mitral valve area > 1.5 cm2 and mean transmitral gradient < 10 mmHg) and Group II (129 patients with mitral valve area ≤ 1.5 cm2 and mean transmitral gradient ≥ 10 mmHg). The ALBI score was calculated based on serum albumin and total bilirubin levels using the following formula: ALBI= (log10 bilirubin [µmol/L] × 0.66) + (albumin [g/L] × - 0.085). A significant correlation was found between the ALBI score and mitral valve area in patients with MS (r = - 0.479, p < 0.001*) (Table 4; Fig. 3A). An ALBI score greater than - 2.61 was associated with severe MS (mitral valve area < 1.5 cm2), with a sensitivity of 72% and a specificity of 69% (Area under the ROC curve = 0.726; p < 0.001; 95% CI 0.650-0.802) (Fig. 4A). A significant correlation was found between the ALBI score and mean transmitral gradient in patients with MS (r = 0.476; p < 0.001*) (Table 4; Fig. 3B). An ALBI score greater than - 2.57 was associated with severe MS (mean transmitral gradient < 10 mmHg), with a sensitivity of 65% and a specificity of 67% (Area under the ROC curve = 0.684; p < 0.001; 95% CI 0.608-0.759) (Fig. 4B). In multivariate linear regression analysis, mitral valve area and mean transmitral gradient were significantly associated with increased ALBI scores (p < 0.05). Mitral valve area, mean transmitral gradient, and NT-proBNP levels were significantly associated with the ALBI score. The ALBI score could provide an information about the severity of MS. The ALBI score is a simple, evidence-based, objective, and discriminatory method for assessing liver function in patients with MS.Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.Authors and their respective affiliations are correctly identified.

An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma

OBJECTIVE

To explore the potential of pre-therapy computed tomography (CT) parameters in predicting the treatment response to initial conventional TACE (cTACE) in intermediate-stage hepatocellular carcinoma (HCC) and develop an interpretable machine learning model.

METHODS

This retrospective study included 367 patients with intermediate-stage HCC who received cTACE as first-line therapy from three centers. We measured the mean attenuation values of target lesions on multi-phase contrast-enhanced CT and further calculated three CT parameters, including arterial (AER), portal venous (PER), and arterial portal venous (APR) enhancement ratios. We used logistic regression analysis to select discriminative features and trained three machine learning models via 5-fold cross-validation. The performance in predicting treatment response was evaluated in terms of discrimination, calibration, and clinical utility. Afterward, a Shapley additive explanation (SHAP) algorithm was leveraged to interpret the outputs of the best-performing model.

RESULTS

The mean diameter, ECOG performance status, and cirrhosis were the important clinical predictors of cTACE treatment response, by multiple logistic regression. Adding the CT parameters to clinical variables showed significant improvement in performance (net reclassification index, 0.318, P < 0.001). The Random Forest model (hereafter, RF-combined model) integrating CT parameters and clinical variables demonstrated the highest performance on external validation dataset (AUC of 0.800). The decision curve analysis illustrated the optimal clinical benefits of RF-combined model. This model could successfully stratify patients into responders and non-responders with distinct survival (P = 0.001).

CONCLUSION

The RF-combined model can serve as a robust and interpretable tool to identify the appropriate crowd for cTACE sessions, sparing patients from receiving ineffective and unnecessary treatments.

Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer

Albumin-bilirubin (ALBI) grade was first described in 2015 as an indicator of liver dysfunction in patients with hepatocellular carcinoma. ALBI grade has been reported to have prognostic value in several malignancies including non-small cell lung cancer (NSCLC). The present study aimed to explore the prognostic impact of ALBI grade in patients with small cell lung cancer (SCLC). It retrospectively analyzed 135 patients with SCLC treated at Hebei General Hospital between April 2015 and August 2021. Patients were divided into two groups according to the cutoff point of ALBI grade determined by the receiver operating characteristic (ROC) curve: Group 1 with pre-treatment ALBI grade ≤-2.55 for an improved hepatic reserve and group 2 with ALBI grade >-2.55. Kaplan-Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with progression free survival (PFS) and overall survival (OS). Propensity score matching (PSM) was applied to eliminate the influence of confounding factors. PFS and OS (P<0.001) were significantly improved in group 1 compared with in group 2. Multivariate analysis revealed that sex (P=0.024), surgery (P=0.050), lactate dehydrogenase (LDH; P=0.038), chemotherapy (P=0.038) and ALBI grade (P=0.028) are independent risk factors for PFS and that surgery (P=0.013), LDH (P=0.039), chemotherapy (P=0.009) and ALBI grade (P=0.013) are independent risk factors for OS. After PSM, ALBI grade is an independent prognostic factor of PFS (P=0.039) and OS (P=0.007). It was concluded that ALBI grade was an independent prognostic factor in SCLC.

Performance status as a prognostic surrogate in hepatocellular carcinoma: Role of albumin-bilirubin and easy-albumin-bilirubin grade

BACKGROUND

Performance status (PS) is associated with the severity of liver cirrhosis and is also an important survival determinant in hepatocellular carcinoma (HCC). Albumin-bilirubin (ALBI) grade and easy (EZ)-ALBI grade have been proposed to evaluate liver dysfunction in HCC, but their role in patients with different PS is unclear. We aimed to investigate the prognostic role of ALBI and EZ-ALBI grade in a large HCC cohort with variable PS.

METHODS

A total of 3355 newly diagnosed HCC patients between 2002 and 2018 were identified and retrospectively analyzed. Independent prognostic predictors associated with survival were investigated using the Cox proportional hazards model.

RESULTS

Patients with poor PS had decreased survival compared with those with good PS. In the Cox model, creatinine ≥1.2 mg/dL, α-fetoprotein (AFP) ≥20 ng/mL, vascular invasion, distant metastasis, total tumor volume >100 cm 3 , presence of ascites, ALBI grades 2 and 3, EZ-ALBI grade 2 and grade 3, PS 1-4, and noncurative treatment were independently associated with higher mortality in the entire cohort (all p < 0.001). ALBI grade and EZ-ALBI grade can well stratify overall survival in subgroup patients with PS 0, PS 1-2, and PS 3-4 (all p < 0.001).

CONCLUSION

Patients with good PS have better long-term survival compared with those with poor PS. ALBI and EZ-ALBI grade can discriminate long-term outcome in the entire cohort as well as in patients with different PS. ALBI and EZ-ALBI are objective and feasible prognostic models to evaluate liver dysfunction in HCC patients independent of PS.

Efficacy of transarterial radioembolization using Y-90 resin microspheres versus atezolizumab-bevacizumab in unresectable hepatocellular carcinoma: A matching-adjusted indirect comparison

INTRODUCTION

No head-to-head trials compared the efficacy of transarterial radioembolization (TARE, also known as selective internal radiation therapy) to combination immunotherapy in hepatocellular carcinoma (HCC). The analysis objective was to compare effectiveness outcomes of TARE using Y-90 resin microspheres and atezolizumab-bevacizumab (AB) in advanced unresectable HCC.

METHODS

Patient-level data from SARAH randomized controlled trial for TARE and aggregate real-world data from AB-real study were used in an unanchored matching-adjusted indirect comparison. The basecase analysis used per-protocol data from SARAH; intention-to-treat data were used in sensitivity analyses. The following prognostic variables and effect modifiers were identified from literature: cause of disease, macrovascular invasion, Eastern Cooperative Oncology Group Performance Status, alpha-fetoprotein level and albumin-bilirubin score. Weights were assigned to patients from SARAH to balance baseline characteristics across studies and reflect characteristics of AB-real patients. Overall survival (OS), progression-free survival (PFS) and response rates (overall response rates [ORR]) were calculated and compared.

RESULTS

The analysis of OS and PFS included 140 patients receiving TARE and 131 for the analysis of response rates, compared to 202 receiving AB. Median OS was 15.0 and 14.9 months for TARE and AB, respectively (HR=0.980; 95% confidence interval [CI]: 0.658-1.461; p-value=0.922). Median PFS was 4.4 and 6.8 months for TARE and AB, respectively (HR=0.745; 95%CI: 0.544-1.022; p-value=0.068). ORR were 19.8% and 25% with TARE and AB, respectively (OR for AB=1.386, 95%CI: 0.746-2.668; p-value=0.306). Sensitivity analyses generated similar results.

CONCLUSION

In HCC patients receiving treatment, TARE using Y-90 resin microspheres may achieve comparable effectiveness outcomes compared with AB.

Development and Validation of a Risk Prediction Algorithm for Evaluating the Efficacy of Postoperative Adjuvant TACE Therapy for Hepatocellular Carcinoma

BACKGROUND AND PURPOSE

There is a lack of a reliable outcome prediction model for patients evaluating the feasibility of postoperative adjuvant transarterial chemoembolization (PATACE) therapy. Our goal was to develop an easy-to-use tool specifically for these patients.

METHODS

From January 2013 to June 2017, patients with hepatocellular carcinoma from the Liver Center of the First Affiliated Hospital of Chongqing Medical University received postoperative adjuvant Transarterial chemoembolization (TACE) therapy after liver cancer resection. A Cox proportional hazards model was established for these patients, followed by internal validation (enhanced bootstrap resampling technique) to further evaluate the predictive performance and discriminanceevaluate the predictive performance and discriminance, and compare it with other predictive models. The prognostic factors considered included tumour number, maximum tumor diameter, Edmondson-Steiner (ES) grade, Microvascular invasion (MVI) grade, Ki67, age, sex, hepatitis B surface antigen, cirrhosis, Alpha-fetoprotein (AFP), Albumin-bilirubin (ALBI) grade, Childpugh grade, body mass index (BMI), Neutrophil-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR).

RESULTS

The endpoint of the study was overall survival. The median overall survival was 36 (95%CI: 34.0-38.0) months, with 1-year, 2-year and 3-year survival rates being 96.3%, 84.0% and 75.3%, respectively. Tumour number, MVI grade, and BMI was incorporated into the model, which had good differentiation and accuracy. Internal validation (enhanced bootstrap) suggested that Harrell's C statistic is 0.72. The model consistently outperforms other currently available models.

CONCLUSION

This model may be an easy-to-use tool for screening patients suitable for PA-TACE treatment and guiding the selection of clinical protocols. But further research and external validation are required.

Pretreatment Non-Invasive Biomarkers as Predictors to Estimate Portal Vein Tumor Thrombosis (PVTT) Risk and Long-Term Survival in HBV-Related Hepatocellular Carcinoma Patients Without PVTT

Background

PVTT is a hallmark of advanced hepatocellular carcinoma (HCC). We aim to explore the influence of non-invasive biomarkers on the occurrence of PVTT and develop and validate models for predicting prognosis in HBV-related HCC patients without PVTT.

Methods

A total of 1026 HBV-related HCC patients without PVTT were enrolled, with 515 in the training cohort, 216 in the internal validation cohort, and 295 in the external validation cohort. We conducted Cox regression analyses to discern the independent risk factors associated with PVTT events, PFS, and OS, then constructed and validated predictive models. The predictive and discriminatory capabilities of models were assessed using the calibration, time-dependent ROC, and DCA curves.

Results

In our study, 136 patients (13.3%) experienced PVTT events during the follow-up period. The Cox regression analysis unveiled that male gender, AAPR ≤0.49, APRI >0.48, extrahepatic metastasis, and multiple tumors were independent risk factors for PVTT. In the training cohort, non-invasive biomarkers (AAR and APRI), AFP, ascites, and tumor-related characteristics (extrahepatic metastasis, tumor diameter, tumor number, and PVTT event) were independent risk factors for both OS and PFS, whereas age and ALBI grade independently correlated with OS. The C-indexes of OS and PFS nomogram models were 0.795 and 0.733 in the training cohort, 0.765 and 0.716 in the internal validation cohort, and 0.780 and 0.722 in the external validation cohort, respectively. Our models demonstrated strong predictive and discriminative abilities in all cohorts and yielded a greater net benefit compared to three traditional staging systems.

Conclusion

Non-invasive biomarkers are expected to be reliable predictors for assessing PVTT risk and predicting prognosis among HBV-related HCC patients without PVTT.