Validation of a new prognostic staging system for hepatocellular carcinoma: the JIS score compared with the CLIP score

Single-molecule sequencing of the whole HCV genome revealed envelope deletions in decompensated cirrhosis associated with NS2 and NS5A mutations

BACKGROUND

Defective hepatitis C virus (HCV) genomes with deletion of the envelope region have been occasionally reported by short-read sequencing analyses. However, the clinical and virological details of such deletion HCV have not been fully elucidated.

METHODS

We developed a highly accurate single-molecule sequencing system for full-length HCV genes by combining the third-generation nanopore sequencing with rolling circle amplification (RCA) and investigated the characteristics of deletion HCV through the analysis of 21 patients chronically infected with genotype-1b HCV.

RESULT

In 5 of the 21 patients, a defective HCV genome with approximately 2000 bp deletion from the E1 to NS2 region was detected, with the read frequencies of 34-77%, suggesting the trans-complementation of the co-infecting complete HCV. Deletion HCV was found exclusively in decompensated cirrhosis (5/12 patients), and no deletion HCV was observed in nine compensated patients. Comparing the amino acid substitutions between the deletion and complete HCV (DAS, deletion-associated substitutions), the deletion HCV showed higher amino acid mutations in the ISDR (interferon sensitivity-determining region) in NS5A, and also in the TMS (transmembrane segment) 3 to H (helix) 2 region of NS2.

CONCLUSIONS

Defective HCV genome with deletion of envelope genes is associated with decompensated cirrhosis. The deletion HCV seems susceptible to innate immunity, such as endogenous interferon with NS5A mutations, escaping from acquired immunity with deletion of envelope proteins with potential modulation of replication capabilities with NS2 mutations. The relationship between these mutations and liver damage caused by HCV deletion is worth investigating.

Outcomes after laparoscopic or open liver resection for nonalcoholic fatty liver disease-associated hepatocellular carcinoma: a propensity score-matching study

BACKGROUND

Laparoscopic liver resection (LLR) is rapidly gaining popularity; however, its efficacy for nonalcoholic fatty liver disease (NAFLD)-associated hepatocellular carcinoma (HCC) (NAFLD-HCC) has been not evaluated. The purpose of this study was to compare short- and long-term outcomes between LLR and open liver resection (OLR) among patients with NAFLD-HCC.

METHODS

We used a single-institution database to analyze data for patients who underwent LLR or OLR for NAFLD-HCC from January 2007 to December 2022. We performed propensity score-matching analyses to compare overall postoperative complications, major morbidities, duration of surgery, blood loss, transfusion, length of stay, recurrence, and survival between the two groups.

RESULTS

Among 210 eligible patients, 46 pairs were created by propensity score matching. Complication rates were 28% for OLR and 11% for LLR (p = 0.036). There were no significant differences in major morbidities (15% vs. 8.7%, p = 0.522) or duration of surgery (199 min vs. 189 min, p = 0.785). LLR was associated with a lower incidence of blood transfusion (22% vs. 4.4%, p = 0.013), less blood loss (415 vs. 54 mL, p < 0.001), and shorter postoperative hospital stay (9 vs. 6 days, p < 0.001). Differences in recurrence-free survival and overall survival between the two groups were not statistically significant (p = 0.222 and 0.301, respectively).

CONCLUSIONS

LLR was superior to OLR for NAFLD-HCC in terms of overall postoperative complications, blood loss, blood transfusion, and postoperative length of stay. Moreover, recurrence-free survival and overall survival were comparable between LLR and OLR. Although there is a need for careful LLR candidate selection according to tumor size and location, LLR can be regarded as a preferred treatment for NAFLD-HCC over OLR.

Novel predictive nomograms based on aspartate aminotransferase‑to‑platelet ratio index for hepatocellular carcinoma with post‑operative adjuvant transarterial chemoembolization

The clinical significance of systemic inflammation assessed with laboratory analysis of blood samples has been validated in a variety of cancers. The present study was conducted to investigate prognostic significance of preoperative aspartate aminotransferase-to-platelet ratio index (APRI) for the outcome of hepatocellular carcinoma (HCC) patients receiving post-operative adjuvant transarterial chemoembolization (PATACE). A total of 201 patients who underwent PATACE were retrospectively analyzed. A nomogram for HCC was developed using predictors based on multivariate Cox models, and bootstrapping was performed for validation. According to the ROC curve, which was used to divide patients into two cohorts: High APRI group (APRI>1.02) and Low APRI group (APRI≤1.02). In subgroup survival analysis, patients with a relatively low APRI had significantly longer disease-free survival (DFS) and overall survival (OS) than patients with a relatively high APRI, regardless of Barcelona Clinic Liver Cancer (BCLC) stages (BCLC 0/A or BCLC B/C, both P<0.05); while in China liver cancer staging I/II and TNM I/II stage patients, relatively low APRI was associated with improved DFS and OS (both P<0.05). Multivariate Cox models demonstrated that APRI and BCLC stages were independent prognostic factors of DFS and OS (both P<0.05). Nomograms for DFS and OS were constructed, respectively. Calibration curve analysis showed that the standard curve fitted well with the predicted curve. Time-receiver operating characteristic curve analysis revealed that the nomogram had high efficiency. Decision curve analysis demonstrated the high clinical value of the nomogram. APRI is an independent prognostic factor of DFS and OS in HCC patients receiving PATACE, and the combination of APRI with the HCC staging system can refine risk stratification to provide a more accurate prognostic assessment for the outcome of patients receiving PATACE.

Short- and long-term outcomes of laparoscopic liver resection for non-alcoholic fatty liver disease-associated hepatocellular carcinoma: a retrospective cohort study

BACKGROUND

We compared the recurrence-free survival (RFS), overall survival (OS), and safety of laparoscopic liver resection (LLR) between non-alcoholic fatty liver disease (NAFLD) and non-NAFLD hepatocellular carcinoma (HCC) patients.

METHODS

Patients with HCC (n = 349) were divided into four groups based on the HCC etiology (NAFLD [n = 71], hepatitis B [n = 27], hepatitis C [n = 187], alcohol/autoimmune hepatitis [AIH] [n = 64]). RFS and OS were assessed by multivariate analysis after adjustment for clinicopathological variables. A subgroup analysis was performed based on the presence (n = 248) or absence (n = 101) of cirrhosis.

RESULTS

Compared with the NAFLD group, the hazard ratios (95% confidence intervals) for RFS in the hepatitis B, hepatitis C, and alcohol/AIH groups were 0.49 (0.22-1.09), 0.90 (0.54-1.48), and 1.08 (0.60-1.94), respectively. For OS, the values were 0.28 (0.09-0.84), 0.52 (0.28-0.95), and 0.59 (0.27-1.30), respectively. With cirrhosis, NAFLD was associated with worse OS than hepatitis C (P = 0.010). Without cirrhosis, NAFLD had significantly more complications (P = 0.034), but comparable survival than others.

DISCUSSION

Patients with NAFLD-HCC have some disadvantages after LLR. In patients with cirrhosis, LLR is safe, but survival is poor. In patients without cirrhosis, the complication risk is high.

Attempt to Establish Prognostic Predictive System for Hepatocellular Carcinoma Using Artificial Intelligence for Assistance with Selection of Treatment Modality

Introduction

Because of recent developments in treatments for hepatocellular carcinoma (HCC), methods for determining suitable therapy for initial or recurrent HCC have become important. This study used artificial intelligence (AI) findings to establish a system for predicting prognosis of HCC patients at time of reoccurrence based on clinical data as a reference for selection of treatment modalities.

Methods

As a training cohort, 5,701 observations obtained at the initial and each subsequent treatment for recurrence from 1,985 HCC patients at a single center from 2000 to 2021 were used. The validation cohort included 5,692 observations from patients at multiple centers obtained at the time of the initial treatment. An AI calculating system (PRAID) was constructed based on 25 clinical factors noted at each treatment from the training cohort, and then predictive prognostic values for 1- and 3-year survival in both cohorts were evaluated.

Results

After exclusion of patients lacking clinical data regarding albumin-bilirubin (ALBI) grade or tumor-node-metastasis stage of the Liver Cancer Study Group of Japan, 6th edition (TNM-LCSGJ 6th), ALBI-TNM-LCSGJ 6th (ALBI-T) and modified ALBI-T scores confirmed that prognosis for patients in both cohorts was similar. The area under the curve for prediction of both 1- and 3-year survival in the validation cohort was 0.841 (sensitivity 0.933 [95% CI: 0.925-0.940], specificity 0.517 [95% CI: 0.484-0.549]) and 0.796 (sensitivity 0.806 [95% CI: 0.790-0.821], specificity 0.646 [95% CI: 0.624-0.668]), respectively.

Conclusion

The present PRAID system might provide useful prognostic information related to short and medium survival for decision-making regarding the best therapeutic modality for both initial and recurrent HCC cases.

Report of the 23rd nationwide follow-up survey of primary liver cancer in Japan (2014-2015)

For the 23rd Nationwide Follow-up Survey of Primary Liver Cancer in Japan, data from 20 889 newly registered patients and 42 274 previously registered follow-up patients were compiled from 516 institutions over a 2-year period from January 1, 2014 to December 31, 2015. Basic statistics compiled for patients newly registered in the 23rd survey were cause of death, past medical history, clinical diagnosis, imaging diagnosis, treatment-related factors, pathological diagnosis, recurrence status, and autopsy findings. Compared with the previous 22nd survey, the population of patients with hepatocellular carcinoma (HCC) was older at the time of clinical diagnosis, had more female patients, had more patients with non-B non-C HCC, had smaller tumor diameter, and was more frequently treated with hepatectomy. Cumulative survival rates were calculated for HCC, intrahepatic cholangiocarcinoma, and combined hepatocellular cholangiocarcinoma (combined HCC and intrahepatic cholangiocarcinoma) by treatment type and background characteristics for patients newly registered between 2004 and 2015 whose final outcome was survival or death. The median overall survival and cumulative survival rates for HCC were calculated by dividing patients by combinations of background factors (number of tumors, tumor diameter, Child-Pugh grade, or albumin-bilirubin grade) and by treatment type (hepatectomy, radiofrequency ablation therapy, transcatheter arterial chemoembolization, hepatic arterial infusion chemotherapy, and systemic therapy). The same values were also calculated according to registration date by dividing patients newly registered between 1978 and 2015 into five time period groups. The data obtained from this nationwide follow-up survey are expected to contribute to advancing clinical research and treatment of primary liver cancer in the world.

TAC score better predicts survival than the BCLC following resection of hepatocellular carcinoma

BACKGROUND

Heterogeneity in hepatocellular carcinoma (HCC) still exists within the Barcelona clinic liver cancer (BCLC) subcategories. We developed a simple model to better discriminate and predict prognosis following resection.

METHODS

Patients who underwent curative-intent resection for HCC were identified from a multi-institutional database. Predictive factors of survival were identified to develop TAC (tumor burden score [TBS], alpha-fetoprotein [AFP], Child-Pugh CP]) score.

RESULTS

Among 1435 patients, median TBS was 5.1 (interquartile range [IQR]: 3.2-8.1), median AFP was 18.3 ng/ml (IQR 4.0-362.5), and 1391 (96.9%) patients were classified as CP-A. Factors associated with overall survival (OS) included TBS (low: referent; medium: HR 2.26, 95% CI: 1.73-2.96; high: HR = 3.35, 95% CI: 2.22-5.07), AFP (<400 ng/ml: referent; >400 ng/ml: HR = 1.56, 95% CI: 1.27-1.92), and CP (A: referent; B: HR = 1.81, 95% CI: 1.12-2.92) (all p < 0.05). A simplified risk score demonstrated superior concordance index, Akaike information criteria, homogeneity, and area under the curve versus BCLC (0.620 vs. 0.541; 5484.655 vs. 5536.454; 60.099 vs. 16.194; 0.62 vs. 0.55, respectively), and further stratified patients within BCLC groups relative to OS (BCLC 0, very low: 86.8%, low: 47.8%) (BCLC A, very low: 79.7%, low: 68.1%, medium: 52.5%, high: 35.6%) (BCLC B, low: 59.8%, medium: 43.7%, high: N/A).

CONCLUSION

TAC is a simple, holistic score that consistently outperformed BCLC relative to discrimination power and prognostication following resection of HCC.

A K-nearest Neighbor Model to Predict Early Recurrence of Hepatocellular Carcinoma After Resection

BACKGROUND AND AIMS

Patients with hepatocellular carcinoma (HCC) surgically resected are at risk of recurrence; however, the risk factors of recurrence remain poorly understood. This study intended to establish a novel machine learning model based on clinical data for predicting early recurrence of HCC after resection.

METHODS

A total of 220 HCC patients who underwent resection were enrolled. Classification machine learning models were developed to predict HCC recurrence. The standard deviation, recall, and precision of the model were used to assess the model's accuracy and identify efficiency of the model.

RESULTS

Recurrent HCC developed in 89 (40.45%) patients at a median time of 14 months from primary resection. In principal component analysis, tumor size, tumor grade differentiation, portal vein tumor thrombus, alpha-fetoprotein, protein induced by vitamin K absence or antagonist-II (PIVKA-II), aspartate aminotransferase, platelet count, white blood cell count, and HBsAg were positive prognostic factors of HCC recurrence and were included in the preoperative model. After comparing different machine learning methods, including logistic regression, decision tree, naïve Bayes, deep neural networks, and k-nearest neighbor (K-NN), we choose the K-NN model as the optimal prediction model. The accuracy, recall, precision of the K-NN model were 70.6%, 51.9%, 70.1%, respectively. The standard deviation was 0.020.

CONCLUSIONS

The K-NN classification algorithm model performed better than the other classification models. Estimation of the recurrence rate of early HCC can help to allocate treatment, eventually achieving safe oncological outcomes.

Establishment of Nomogram Model for Minimally Invasive Treatment of Small Hepatocellular Carcinoma Based on CD8+T Cell Counts

Purpose

Minimally invasive treatment of small hepatocellular carcinoma (HCC) is the main way of treatment, which can cause the change of HCC immune microenvironment. T lymphocytes are an important part of the immune microenvironment and may be powerful predictors of prognosis. The purpose of this study was to explore the effect of T lymphocytes on the prognosis of HCC and establish a prognostic model.

Patients and Methods

We conducted a retrospective study of 300 patients with small HCC and developed a clinical prediction model. The selection of modeling variables was performed by combining backward stepwise Cox regression using Akaike’s Information Criteria (AIC) and the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Establish a dynamic nomogram model to predict 1-, 2-, and 3-year overall survival (OS). Receiver operating characteristic curve (ROC curve) was used to verify the model discriminative ability, calibration curve was used to examine the model calibration ability, and decision curve analysis (DCA) was used to evaluate the clinical value.

Results

The nomogram to predict the OS of small HCC includes the following four variables: aspartate aminotransferase (AST), alpha fetoprotein (AFP), C-reactive protein (CRP) and CD8⁺T cell counts, represented liver function index, tumor-related index, Inflammatory index and immune-related index, respectively. The area under the receiver operating characteristic curves (AUC) of predicting 1-, 2-, and 3-year overall survival were 0.846, 0.824 and 0.812, and the model was excellent in discrimination, calibration and clinical applicability.

Conclusion

Our study provides a nomogram based on CD8⁺T cell counts that can help predict the prognosis of small HCC after minimally invasive treatment, which suggests that T lymphocytes can be used as a prognostic factor for HCC. Larger trials are needed to verify our results.

Immune-Related Biomarkers Improve Performance of Risk Prediction Models for Survival in Patients With Hepatocellular Carcinoma

Object

The prediction of hepatocellular carcinoma (HCC) prognosis faced great challenge due to tumor heterogeneity. The purpose of this study was to explore the correlation between the immune infiltrate and prognosis. Moreover, we aimed to establish a risk prediction model for survival in HCC patients based on clinicopathological and immune indicators.

Methods

In this study, 316 patients with HCC who underwent radical resection in West China Hospital from 2009 to 2014 were included. Clinicopathological data and pathological specimens were collected. H&amp;E staining and immunohistochemical staining were performed on the pathological tissue sections. The evaluation of tumor-infiltrating lymphocyte (TIL) density was based on H&amp;E slices, and the assessment of the expressions of CD8, CD68, Lymphocyte activation gene-3 (LAG-3), T cell immunoglobulin domain and mucin domain-3 (TIM-3), Programmed Cell Death Protein 1 (PD-1), Programmed Cell Death Ligand 1 (PD-L1), OX40, CD66b, and Tryptase. was performed on the immunohistochemical slices. A risk prediction model for survival in HCC patients was established by integrating immune-related biomarkers and clinicopathological indicators.

Results

The Barcelona Clinic Liver Cancer (BCLC) stage; the microvascular invasion status; the density of TILs; the expressing levels of CD66b, OX40, and PD-L1 in the immune cell; CD68; and CD8 were the predictors of patients’ overall survival (OS). The BCLC stage; the density of TILs; and the expressions of OX40, CD68, and CD8 were associated with disease-free survival (DFS). The expressions of CD66b, CD68, OX40, and CD8 had a cumulative effect on prognosis. The area under the curve of the prediction model for OS based on clinicopathological features was improved from 0.62 to 0.74 by adding to CD8, OX40, CD68, CD66b, and TILs, whereas it was improved from 0.59 to 0.73 for the DFS prediction model.

Conclusion

Our results, if confirmed, indicated that immune-related biomarkers should be taken into account or stratified in survival analysis for HCC.

Report of the 22nd nationwide follow-up Survey of Primary Liver Cancer in Japan (2012-2013)

In the 22nd Nationwide Follow-up Survey of Primary Liver Cancer in Japan, data from 21 155 newly registered patients and 43 041 previously registered follow-up patients were compiled from 538 institutions over a 2-year period from January 1, 2012 to December 31, 2013. Basic statistics compiled for patients newly registered in the 22nd survey were cause of death, past medical history, clinical diagnosis, imaging diagnosis, treatment-related factors, pathologic diagnosis, recurrence status and autopsy findings. Compared with the previous 21st survey, the population of patients with hepatocellular carcinoma (HCC) was older at the time of clinical diagnosis, had more female patients, more patients with non-B non-C HCC, smaller tumor diameter and was more frequently treated with hepatectomy. Cumulative survival rates were calculated for HCC, intrahepatic cholangiocarcinoma, and combined hepatocellular cholangiocarcinoma (combined HCC and intrahepatic cholangiocarcinoma) by treatment type and background characteristics for patients newly registered between 2002 and 2013 whose final outcome was survival or death. Median overall survival and cumulative survival rates for HCC were calculated by dividing patients by combinations of background factors (number of tumors, tumor diameter or Child-Pugh grade) and by treatment type (hepatectomy, radiofrequency ablation therapy, transcatheter arterial chemoembolization, hepatic arterial infusion chemotherapy and systemic therapy). The same values were also calculated according to registration date by dividing patients newly registered between 1978 and 2013 into five time period groups. The data obtained from this nationwide follow-up survey are expected to contribute to advancing clinical research and treatment of primary liver cancer worldwide.

A Model Based on Artificial Intelligence Algorithm for Monitoring Recurrence of HCC after Hepatectomy

BACKGROUND

There is no satisfactory indicator for monitoring recurrence after resection of hepatocellular carcinoma (HCC). This retrospective study aimed to design and validate an HCC monitor recurrence (HMR) model for patients without metastasis after hepatectomy.

METHODS

A training cohort was recruited from 1179 patients with HCC without metastasis after hepatectomy between February 2012 and December 2015. An HMR model was developed using an AdaBoost classifier algorithm. The factors included patient age, TNM staging, tumor size, and pre/postoperative dynamic variations of alpha-fetoprotein (AFP). The diagnostic efficacy of the model was evaluated based on the area under the receiver operating characteristic curves (AUCs). The model was validated using a cohort of 695 patients.

RESULTS

In preoperative patients with positive or negative AFP, the AUC of the validation cohort in the HMR model was .8877, which indicated better diagnostic efficacy than that of serum AFP (AUC, .7348). The HMR model predicted recurrence earlier than computed tomography/magnetic resonance imaging did by 191.58 ± 165 days. In addition, the HMR model can predict the prognosis of patients with HCC after resection.

CONCLUSIONS

The HMR model established in this study is more accurate than serum AFP for monitoring recurrence after hepatectomy for HCC and can be used for real-time monitoring of the postoperative status in patients with HCC without metastasis.

A new staging system for hepatocellular carcinoma associated with portal vein tumor thrombus

BACKGROUND

A new staging system for patients with hepatocellular carcinoma (HCC) associated with portal vein tumor thrombus (PVTT) was developed by incorporating the good points of the BCLC classification of HCC, and by improving on the currently existing classifications of HCC associated with PVTT.

METHODS

Univariate and multivariate analysis with Wald χ² test were used to determinate the clinical prognostic factors for overall survival (OS) in patients with HCC and PVTT in the training cohort. Then the conditional inference trees analysis was applied to establish a new staging system.

RESULTS

A training cohort of 2,179 patients from the Eastern Hepatobiliary Surgery Hospital and a validation cohort of 1,550 patients from four major liver centers in China were enrolled into establishing and validating a new staging system. The system was established by incorporating liver function, general health status, tumor resectability, extrahepatic metastasis and extent of PVTT. This staging system had a good discriminatory ability to separate patients into different stages and substages. The median OS for the two cohorts were 57.1 (37.2-76.9), 12.1 (11.0-13.2), 5.7 (5.1-6.2), 4.0 (3.3-4.6) and 2.5 (1.7-3.3) months for the stages 0 to IV, respectively (P<0.001) in the training cohort. The corresponding figures for the validation cohort were 6.4 (4.9-7.9), 2.8 (1.3-4.4), 10.8 (9.3-12.4), and 1.5 (1.3-1.7) months for the stages II to IV, respectively (P<0.001). The mean survival for stage 0 to 1 were 37.6 (35.9-39.2) and 30.4 (27.4-33.4), respectively (P<0.001).

CONCLUSIONS

A new staging system was established which provided a good discriminatory ability to separate patients into different stages and substages after treatment. It can be used to supplement the other HCC staging systems.

Simple Scoring System for Predicting TACE Unsuitable among Intermediate-Stage Hepatocellular Carcinoma Patients in the Multiple Systemic Treatment Era

BACKGROUND/AIM

With the development of systemic treatment methods for unresectable hepatocellular carcinoma (uHCC), the concept of unsuitable for transcatheter arterial chemoembolization (TACE) has become important. This study aimed to establish a simple predictive scoring system for determining TACE unsuitable status.

MATERIALS/METHODS

From 1998 to 2015, 196 patients with intermediate-stage uHCC with Child-Pugh A (score 5:6 = 108:88) and given TACE as the initial treatment were enrolled. At the baseline, tumor burden (Milan criteria-out, up-to-7 in/out, and up-to-11 in/out: 0-2 points) and modified albumin-bilirubin grade 1/2a or 2b (0-1 point) were added to determine the score for TACE unsuitable (CITRUS-MICAN score; low <2 and high ≥2). In addition, a previously reported tumor marker (TM) score, in which alpha-fetoprotein (AFP) was ≥100 ng/mL, fucosylated AFP ≥10%, and des-gamma-carboxy prothrombin ≥100 mAU/mL (each 1 point) (total 0, 1, or ≥2 points), was used for additionally evaluating tumor malignancy potential. Prognosis was retrospectively evaluated based on those scores.

RESULTS

Median survival time (MST) was better for low compared to high CITRUS-MICAN score (42.0 vs. 26.4 months) (p = 0.002). A 2-step evaluation using the combination of CITRUS-MICAN and TM scores showed an MST of 43.2 months for low CITRUS-MICAN/TM score 0/1 (rank-A) and 39.6 months for low CITRUS-MICAN/TM score ≥2 (rank-B2), while it was 46.8 months for high CITRUS-MICAN/TM score 0 (rank-B1), 28.8 months for high CITRUS-MICAN/TM score 1 (rank-B2), and 22.8 months for high CITRUS-MICAN/TM score ≥2 (rank-C). For rank-A cases (n = 51), MST was 43.2 months, while it was 46.8 months for rank-B1 (n = 12), 31.2 months for rank-B2 (n = 82), and 22.8 months for rank-C (n = 51) (p = 0.001).

CONCLUSION

The results showed that rank-C indicates absolute TACE unsuitable status. For rank-A patients, good prognosis with TACE can be expected, while TACE refractoriness status during the clinical course should be carefully evaluated so as to anticipate the appropriate timing for switching to systemic treatment in rank-B1 and -B2 patients.

Prognostic Value of International Normalized Ratio-to-Albumin Ratio and Ferritin Level in Chronic Liver Patients with Hepatocellular Carcinoma

OBJECTIVE

Hepatocellular carcinoma (HCC) is the sixth among the most common cancers and the fourth among cancer-related causes of death in the world. In the evaluation of liver function in HCC patients, parameters such as albumin-bilirubin, prothrombin time-international normalized ratio (PT-INR) to albumin ratio (PTAR) are used among new methods other than Child-Pugh and MELD scores. Biomarkers are widely used in clinical practice in cases such as diagnosing various diseases, evaluating treatment response and predicting prognosis. We aimed to evaluate the prognostic role of serum ferritin and INR/albumin ratio in patients with chronic liver disease who develop HCC.

METHODS

This retrospective study included 534 patients who were followed up with the diagnosis of HCC between 2009 and 2020. The patients with HCC etiology were evaluated in 3 groups (chronic hepatitis B group, chronic hepatitis C group, and other group). When comparing serum ferritin level and prothromin time-international normalized ratio to albumin ratio with Child Pugh score (CTP) in chronic liver patients with HCC, liver functional reserve and its role in predicting prognosis were investigated.

RESULTS

The serum ferritin level was 226 ± 334 in the CTP A group, 239 ± 302 in the CTP B group, and 678 ± 966 in the CTP C group, and the p value was 0.001. The PTAR CTP group was 0.35 ± 0.10, the CTP B group was 0.50 ± 0.26, the CTP C group was 1.18 ± 6.01, and the p value was 0.001. Multivariant analysis results showed that ferritin hazard ratio is 1.00, 95% CI 0.99-1.00, and p value was 0.09, and PTAR hazard ratio is 1.38, 95% CI 2.37-8.00, and p value was 0.49. The etiological distribution of HCC was determined as HBV (61.6%), HCV (19.9%), and other etiologies (18.5%). Significant values were determined for age, gender, glucose, GGT, T. cholesterol, and tumor diameter parameters according to etiological distribution.

CONCLUSIONS

Serum ferritin level and PTAR score increased in proportion to the severity of liver disease and were associated with poor prognosis. We think that high serum ferritin and PTAR score is a prognostic biomarker in predicting the synthesis function of the liver and mortality in critically ill patients with cirrhosis.

Easy albumin-bilirubin score as a new prognostic predictor in hepatocellular carcinoma

BACKGROUND

Liver functional reserve is a major prognostic determinant in patients with hepatocellular carcinoma (HCC). The albumin-bilirubin (ALBI) score is an objective method to assess the severity of cirrhosis in this setting. However, calculation of the ALBI score is complex and difficult to access in clinical practice. Recently, the EZ (easy)-ALBI score was proposed as an alternative biomarker of liver injury. We aimed to evaluate the prognostic role of the EZ-ALBI score in HCC from early to advanced stages.

METHODS

A total of 3794 newly diagnosed HCC patients were prospectively enrolled and retrospectively analyzed. Independent prognostic predictors were determined by using the multivariate Cox proportional hazards model.

RESULTS

The EZ-ALBI score showed good correlation with the ALBI score (correlation coefficient, 0.965; p < 0.001). The correlation of the EZ-ALBI score was highly preserved in different Child-Turcotte-Pugh (CTP) classifications, treatment methods, and Barcelona Clinic Liver Cancer (BCLC) stages (correlation coefficients, 0.90-0.97). In the Cox multivariate analysis, age >65 years, male sex, serum α-fetoprotein >20 ng/ml, large or multiple tumors, total tumor volume >100 cm³ , vascular invasion or distant metastasis, ascites, poor performance status, EZ-ALBI grade 2 and 3, and noncurative treatments were independently associated with increased mortality (all p < 0.05). Moreover, EZ-ALBI grade can stratify long-term survival in patients with different CTP class, treatment strategy, and BCLC stage.

CONCLUSIONS

The EZ-ALBI score is an easy and feasible method to evaluate liver functional reserve. As a new prognostic biomarker in HCC, the predictive power of the EZ-ALBI grade is independent across different cancer stages and treatments.

Development and validation of prognostic nomograms for single large and huge hepatocellular carcinoma after curative resection

AIM

The prediction model of postoperative survival for single large and huge hepatocellular carcinoma (SLH-HCC, diameter > 5.0 cm) without portal vein tumour thrombus has not been well established. This study aimed to develop novel nomograms to predict postoperative recurrence and survival of these patients.

METHODS

Data from 2469 patients with SLH-HCC who underwent curative resection from January 2005 to December 2015 in China were retrospectively collected. Specifically, nomograms of recurrence-free survival (RFS) and overall survival (OS) using data from a training cohort were developed with the Cox regression model (n = 1012). The modes were verified in an internal validation cohort (n = 338) and an external cohort comprising four tertiary institutions (n = 1119).

RESULTS

The nomograms of RFS and OS based on tumour clinicopathologic features (diameter, differentiation, microvascular invasion, α-fetoprotein), operative factors (preoperative transcatheter arterial chemoembolisation therapy, scope of liver resection and intraoperative blood transfusion), underlying liver function (albumin-bilirubin grade) and systemic inflammatory or immune status (neutrophil-to-lymphocyte ratio) achieved high C-indexes of 0.85 (95% confidence interval [CI], 0.79-0.91) and 0.86 (95% CI, 0.79-0.93) in the training cohort, respectively, which were significantly higher than those of the five conventional HCC staging systems (0.62-0.73 for RFS, 0.63-0.75 for OS). The nomograms were validated in the internal cohort (0.83 for RFS, 0.84 for OS) and external cohort (0.87 for RFS, 0.88 for OS) and had well-fitted calibration curves. Our nomograms accurately stratified patients with SLH-HCC into low-, intermediate- and high-risk groups of postsurgical recurrence and mortality.

CONCLUSIONS

The two nomograms achieved optimal prediction for postsurgical recurrence and OS for patients with SLH-HCC after curative resection.

Radiomics-based model using gadoxetic acid disodium-enhanced MR images: associations with recurrence-free survival of patients with hepatocellular carcinoma treated by surgical resection

PURPOSE

To develop a prediction model that combined magnetic resonance images (MRI)-based radiomics features with clinical factors to predict recurrence-free survival (RFS) of hepatocellular carcinoma (HCC) patients treated with surgical resection.

METHODS

HCC patients treated with surgical resection (n = 153) were randomly divided into training (n = 107) and validation (n = 46) datasets. The volumes of interest were manually outlined around the lesion and additional 2 mm and 5 mm peritumoral areas were created with automated dilatation in MRI to extract tumoral (T) and peritumoral (PT) radiomics features. The radiomics models were constructed using least absolute shrinkage and selection operator Cox regression. The combined model incorporated clinical factors and radiomics features using multivariable Cox regression based on the Akaike information criterion principle. Predictive performance of different models were evaluated by receiver operating characteristic (ROC) curves, decision curves, and calibration curves.

RESULTS

Among the radiomics models, similar performance was observed in the 2 mm and 5 mm PT models (C-index both 0.657), which were better than the T model or T + PT model (C-index 0.607 and 0.641, respectively) in the validation dataset, whereas the model combined with the three identified clinical risk factors showed the best performance (C-index 0.725). Results of the ROC curves, decision curves, and the calibration curves indicated that the combined model and the derived nomogram had better prediction performance, greater clinical benefits, and fair calibration efficiency.

CONCLUSION

The prediction model that combined MRI radiomics signatures with clinical factors can effectively predict the prognosis of patients with HCC treated with surgical resection.

Comparison of prognostic models in advanced hepatocellular carcinoma patients undergoing Sorafenib: A multicenter study

BACKGROUND

Sorafenib is the gold standard therapy for the advanced hepatocellular carcinoma (HCC). No scoring/staging is universally accepted to predict the survival of these patients.

AIMS

To evaluate the accuracy of the available prognostic models for HCC to predict the survival of advanced HCC patients treated with Sorafenib included in the Italian Liver Cancer (ITA.LI.CA.) multicenter cohort.

METHODS

The performance of several prognostic scores was assessed through a Cox regression-model evaluating the C-index and the Akaike Information Criterion (AIC).

RESULTS

Data of 1129 patients were analyzed. The mean age of patients was 61.6 years, and 80.8% were male. During a median follow-up period of 13 months, 789 patients died. The median period of Sorafenib administration was 4 months. All the prognostic scores were able to predict the overall survival (p<0.001) at univariate analysis, except the Albumin-Bilirubin score. The Italian Liver Cancer score (CLIP) yielded the highest accuracy (C-index 0.604, AIC 9898), followed by the ITA.LI.CA. prognostic score (C-index 0.599, AIC 9915).

CONCLUSIONS

The CLIP score had the highest accuracy in predicting the overall survival of HCC patients treated with Sorafenib, although its performance remained poor. Further studies are needed to refine the current ability to predict the outcome of HCC patients undergoing Sorafenib.

Identification of prognostic long non-coding RNA signature with potential drugs in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the primary malignancy in the liver with high rate of death and recurrence. Novel prognostic model would be crucial for early diagnosis and improved clinical decision. The study aims to provide an effective lncRNA-based signature to predict survival time and tumor recurrence for HCC. Based on public database, lncRNA-based classifiers for overall survival and tumor recurrence were built with regression analysis and cross validation strategy. According to the risk-score of the classifiers, the whole cohorts were divided into groups with high and low risk. Afterwards, the efficiency of the lncRNA-based classifiers was evaluated and compared with other clinical factors. Finally, candidate small molecules for high risk groups were further screened using drug response databases to explore potential drugs for HCC treatment.

Identifying Patients Who May Benefit from Liver Resection Compared to Living Donor Liver Transplantation for Hepatocellular Carcinoma Using 18F-FDG PET

BACKGROUND

This study aimed to assess an oncologic setting where patients with hepatocellular carcinoma (HCC) could benefit from liver resection (LR) compared to living donor liver transplantation (LDLT) using ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography.

METHODS

The consecutive data of patients with HCC who underwent ¹⁸F-FDG PET before LR (LR group, n = 314) and LDLT (LDLT group, n = 65) between 2003 and 2015 were retrospectively analyzed. Tumor ¹⁸F-FDG avidity was quantified as the tumor to liver standardized uptake value ratio (TLR, cut-off value was defined at 2). Multivariate analysis was performed to assess significant preoperative tumor factors in the LR group. Survival outcomes between the two groups were stratified by these factors.

RESULTS

The 5-year overall survival (OS: 56.9% vs. 73.8%, LR vs. LDLT, p < 0.001) and recurrence-free survival rate (RFS: 27.4% vs. 70.7%, p < 0.001) were significantly better in the LDLT group compared to the LR group. In the LR study, multivariate analysis identified TLR and tumor multiplicity as significant preoperative tumor factors for OS. In patients with solitary and TLR < 2 HCC, the 5-year OS rate was not significantly different between the LR and LDLT groups (70.3% vs. 71.8%, p = 0.352); meanwhile, RFS rate was better in the LDLT group (34.3% vs. 71.8%, p = 0.001).

CONCLUSIONS

LDLT is associated with better long-term outcomes than LR in patients with HCC; however, selected patients with solitary and TLR < 2 HCC may benefit from LR.

Comparison of Modified Child-pugh (MCP), Albumin-bilirubin (ALBI), and Child-pugh (CP) score for predicting of survival in Hepatocellular Carcinoma Patients Treated with Transcatheter Arterial Chemoembolization

BACKGROUND

Both modified Child-Pugh (MCP) and Albumin-bilirubin (ALBI) grade were reported that simpler, more objective and evidence-based alternative to the Child-Pugh (CP) class for assessing liver function.

AIMS

To investigate whether the MCP and ALBI grade could better evaluate the liver reserve of Hepatocellular Carcinoma (HCC) patients treated with TACE (transcatheter arterial chemoembolization) than CP grade.

METHODS

Three hundred seventy-six consecutive HCC patients treated with TACE between December 2007 and October 2011 were enrolled. The baseline characteristics and clinical information were collected. Homogeneity and discriminatory ability were compared between the MCP grade and ALBI class or CP grade.

RESULTS

Compared with the CP and ALBI, the MCP grade had a higher predictive accuracy for overall survival (OS) in terms of homogeneity and discriminatory ability. Most of the HCC patients had CP class A disease (84.0%) at presentation, and within this CP class, although the ALBI grade revealed two clear and nonoverlapping groups, the MCP grade revealed three clearly different prognostic groups. Both in the ALBI grade 1 or ALBI grade 2 group, the MCP grade still showed a significant progressive decrease in OS from the smallest to the largest grades, but the CP class was unsatisfactory in stratifying these patients.

CONCLUSIONS

The stratification ability and prognostic predictive power of the MCP grade for HCC patients treated with TACE may be better than that of the ALBI grade or CP class.

Significance of liver resection for intermediate stage hepatocellular carcinoma according to subclassification

Background

Patients diagnosed with Barcelona Clinic Liver Cancer (BCLC) intermediate stage hepatocellular carcinoma (HCC) encompass a broad clinical population. Kinki criteria subclassifications have been proposed to better predict prognoses and determine appropriate treatment strategies for these patients. This study validated the prognostic significance within the Kinki criteria substages and analyzed the role of liver resection in patients with intermediate stage HCC.

Methods

Patients with intermediate stage HCC (n = 378) were retrospectively subclassified according to the Kinki criteria (B1, n = 123; B2, n = 225; and B3, n = 30). We analyzed the overall survival (OS) and treatment methods.

Results

The OS was significantly different between adjacent substages. Patients in substage B1 who underwent liver resection had a significantly better prognosis than those who did not, even after propensity score matching (PSM). Patients in substage B2 who underwent liver resection had a significantly better prognosis than those who did not; however, there was no difference after PSM. There was no difference in prognosis based on treatments among patients in substage B3.

Conclusions

The Kinki criteria clearly stratify patients with intermediate stage HCC by prognosis. For substage B1 HCC patients, liver resection provides a better prognosis than other treatment modalities. In patients with substage B2 and B3, an alternative approach is required.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08421-3.

Management of Hepatocellular Carcinoma in Japan: JSH Consensus Statements and Recommendations 2021 Update

The Clinical Practice Manual for Hepatocellular Carcinoma was published based on evidence confirmed by the Evidence-based Clinical Practice Guidelines for Hepatocellular Carcinoma along with consensus opinion among a Japan Society of Hepatology (JSH) expert panel on hepatocellular carcinoma (HCC). Since the JSH Clinical Practice Guidelines are based on original articles with extremely high levels of evidence, expert opinions on HCC management in clinical practice or consensus on newly developed treatments are not included. However, the practice manual incorporates the literature based on clinical data, expert opinion, and real-world clinical practice currently conducted in Japan to facilitate its use by clinicians. Alongside each revision of the JSH Guidelines, we issued an update to the manual, with the first edition of the manual published in 2007, the second edition in 2010, the third edition in 2015, and the fourth edition in 2020, which includes the 2017 edition of the JSH Guideline. This article is an excerpt from the fourth edition of the HCC Clinical Practice Manual focusing on pathology, diagnosis, and treatment of HCC. It is designed as a practical manual different from the latest version of the JSH Clinical Practice Guidelines. This practice manual was written by an expert panel from the JSH, with emphasis on the consensus statements and recommendations for the management of HCC proposed by the JSH expert panel. In this article, we included newly developed clinical practices that are relatively common among Japanese experts in this field, although all of their statements are not associated with a high level of evidence, but these practices are likely to be incorporated into guidelines in the future. To write this article, coauthors from different institutions drafted the content and then critically reviewed each other's work. The revised content was then critically reviewed by the Board of Directors and the Planning and Public Relations Committee of JSH before publication to confirm the consensus statements and recommendations. The consensus statements and recommendations presented in this report represent measures actually being conducted at the highest-level HCC treatment centers in Japan. We hope this article provides insight into the actual situation of HCC practice in Japan, thereby affecting the global practice pattern in the management of HCC.

The Clinical Value of Postoperative Transarterial Chemoembolization for Resectable Patients with Intermediate Hepatocellular Carcinoma After Radical Hepatectomy: a Propensity Score-Matching Study

BACKGROUND AND AIMS

Surgical resection for patients with intermediate hepatocellular carcinoma (HCC) is preferred in China, but the prognosis remains far from satisfactory. Postoperative transarterial chemoembolization (p-TACE) has been conducted prevalently to prevent recurrence, but its efficacy remains controversial. Hence, we collected the data from primary liver cancer big data (PLCBD) to investigate the clinical value of p-TACE for patients with intermediate HCC and identify the potential beneficiaries.

METHODS

Patients who were diagnosed with intermediate HCC between December 2012 and December 2015 were identified through the PLCBD. Disease-free survival (DFS) of patients who received p-TACE or not following radical resection was evaluated using Kaplan-Meier survival curves before and after 1:1 propensity scoring match (PSM). Subgroup analysis was conducted stratified by risk factors associated with recurrence.

RESULTS

A total of 325 intermediate HCC patients receiving radical resection were eligible in this study, including 123 patients in the p-TACE group and 202 in the non-TACE group. Median DFS in the p-TACE group was significantly longer than in the non-TACE group (23.3 months vs. 18.0 months, P = 0.016) in the whole cohort with no severe complicates, which was confirmed in a well-matched cohort (17.4 months vs. 23.3 months, P = 0.012). In addition, p-TACE was identified as an independent risk factors of DFS by multivariate Cox regression analysis before and after PSM (both P < 0.05). After adjusting for other prognostic variables, patients were found to significantly benefit from p-TACE in DFS if they were male, or had hepatitis, diabetes, cirrhosis, AFP ≤ 400 ng/ml, anatomic hepatectomy, no severe surgical complication, no intraoperative transfusion, tumor number = 2, differentiation grading III, capsule, or had no transfusion (all P < 0.05).

CONCLUSION

With the current data, we concluded that p-TACE was safe and efficient for the patients with intermediate HCC following radical resection, and male patients with hepatitis, diabetes, cirrhosis, AFP ≤ 400 ng/ml, anatomic hepatectomy, no severe surgical complication, no intraoperative transfusion, tumor number = 2, differentiation grading III, and capsule would benefit more from p-TACE.

Overview of Prognostic Systems for Hepatocellular Carcinoma and ITA.LI.CA External Validation of MESH and CNLC Classifications

Prognostic assessment in patients with HCC remains an extremely difficult clinical task due to the complexity of this cancer where tumour characteristics interact with degree of liver dysfunction, patient general health status, and a large span of available treatment options. Several prognostic systems have been proposed in the last three decades, both from the Asian and European/North American countries. Prognostic scores, such as the CLIP score and the recent MESH score, have been generated on a solid statistical basis from real life population data, while staging systems, such as the BCLC scheme and the recent CNLC classification, have been created by experts according to recent HCC prognostic evidences from the literature. A third category includes combined prognostic systems that can be used both as prognostic scores and staging systems. A recent example is the ITA.LI.CA prognostic system including either a prognostic score and a simplified staging system. This review focuses first on an overview of the main prognostic systems for HCC classified according to the above three categories, and, second, on a comprehensive description of the methodology required for a correct comparison between different systems in terms of prognostic performance. In this second section the main studies in the literature comparing different prognostic systems are described in detail. Lastly, a formal comparison between the last prognostic systems proposed for each of the above three categories is performed using a large Italian database including 6882 HCC patients in order to concretely apply the comparison rules previously described.

Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

BACKGROUND

The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural network (ANN) model to predict PHER in HCC patients without macroscopic vascular invasion.

METHODS

Nine hundred and three patients who underwent curative liver resection for HCC participated in this study. They were randomly divided into derivation (n = 679) and validation (n = 224) cohorts. The ANN model was developed in the derivation cohort and subsequently verified in the validation cohort.

RESULTS

PHER morbidity in the derivation and validation cohorts was 34.8 and 39.2%, respectively. A multivariable analysis revealed that hepatitis B virus deoxyribonucleic acid load, γ-glutamyl transpeptidase level, α-fetoprotein level, tumor size, tumor differentiation, microvascular invasion, satellite nodules, and blood loss were significantly associated with PHER. These factors were incorporated into an ANN model, which displayed greater discriminatory abilities than a Cox's proportional hazards model, preexisting recurrence models, and commonly used staging systems for predicting PHER. The recurrence-free survival curves were significantly different between patients that had been stratified into two risk groups.

CONCLUSION

When compared to other models and staging systems, the ANN model has a significant advantage in predicting PHER for HCC patients without macroscopic vascular invasion.

The Angiotensin II Receptor Blocker Losartan Sensitizes Human Liver Cancer Cells to Lenvatinib-Mediated Cytostatic and Angiostatic Effects

Molecular targeted therapy with lenvatinib is commonly offered to advanced hepatocellular carcinoma (HCC) patients, although it is often interrupted by adverse effects which require a reduction in the initial dose. Thus, an alternative lenvatinib-based therapy to compensate for dose reduction is anticipated. This study aimed to assess the effect of combination of low-dose of lenvatinib and the angiotensin-II (AT-II) receptor blocker losartan on human HCC cell growth. In vitro studies found that losartan suppressed the proliferation by inducing G1 arrest and caused apoptosis as indicated by the cleavage of caspase-3 in AT-II-stimulated HCC cell lines (Huh-7, HLE, and JHH-6). Losartan attenuated the AT-II-stimulated production of vascular endothelial growth factor-A (VEGF-A) and interleukin-8 and suppressed lenvatinib-mediated autocrine VEGF-A production in HCC cells. Moreover, it directly inhibited VEGF-mediated endothelial cell growth. Notably, the combination of lenvatinib and losartan augmented the cytostatic and angiostatic effects of the former at a low-dose, reaching those achieved with a conventional dose. Correspondingly, a HCC tumor xenograft assay showed that the oral administration of losartan combined with lenvatinib reduced the subcutaneous tumor burden and intratumor vascularization in BALB/c nude mice. These findings support that this regimen could be a viable option for patients intolerant to standard lenvatinib dosage.

Multi-institutional validation of novel models for predicting the prognosis of patients with huge hepatocellular carcinoma

The population of patients with huge hepatocellular carcinoma (H-HCC diameter > 10.0 cm) is an odd group that is not well adjudicated in the current staging systems, whose prognosis after curative resection varies. We aimed to develop novel models to predict the long-term outcomes of patients with H-HCC without portal vein tumor thrombus after hepatectomy. There were 1076 H-HCC patients enrolled who underwent curative liver resection in five institutions in China. In total, 670 patients were recruited from our center and randomly divided into the training cohort (n = 502) and internal validation (n = 168) cohorts. Additionally, 406 patients selected from other four centers as the external validation cohort. Novel models were constructed based on independent preoperative and postoperative predictors of postsurgical recurrence (PSR) and postsurgical mortality (PSM) determined in multivariable cox regression analysis. The predictive accuracy and discriminative ability of the model were measured using Harrell's concordance index (C index) and calibration curve and compared with five conventional HCC staging systems. PSR model and PSM model were constructed based on tumor number, microscopic vascular invasion, tumor differentiation, preoperative alpha-fetoprotein level, albumin-bilirubin grade, liver segment invasion, neutrophil-to-lymphocyte ratio or platelet-to-neutrophil ratio, and surgical margin or intraoperative blood transfusion. The C-indexes were 0.84 (95% CI, 0.78-0.90) and 0.85 (95% CI, 0.78-0.91) for the PSR and PSM models, respectively, which were substantially higher than those of the five conventional HCC staging systems (0.63-0.75 for PSR; 0.66-0.77 for PSM). The two novel models achieved more accurate prognostic predictions of PSR and PSM for H-HCC patients after curative liver resection.

Efficacy and Safety of Lenvatinib Therapy for Unresectable Hepatocellular Carcinoma in a Real-World Practice in Korea

BACKGROUND

Lenvatinib has been recently approved as a first-line treatment option for patients with unresectable hepatocellular carcinoma (HCC) in Korea. We aimed to study the efficacy and safety of lenvatinib therapy in a real-world practice and to find prognostic factors related to survival and disease progression.

METHODS

A hospital-based retrospective study was conducted on 111 consecutive patients who had unresectable HCC and were treated with lenvatinib at Samsung Medical Center from October 2018 to March 2020. Efficacy was determined using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria in 111 patients who completed 1st tumor assessment. Safety was evaluated in 116 HCC patients including 5 patients who discontinued lenvatinib due to adverse events (AEs) before 1st tumor assessment using Common Terminology Criteria for AEs version 5.0.

RESULTS

A total of 111 patients with a median age of 59 years were analyzed during a median follow-up duration of 6.2 (4.4-9.0) months. The Kaplan-Meier estimate of overall survival was 10.5 months, and the median progression-free survival was 6.2 months. Based on mRECIST criteria, the objective response rate was 18.9% and disease control rate was 75.7%. AEs developed in 86/116 (74.1%) patients, and grade ≥3 AEs developed in 16/116 (13.8%) patients. Diarrhea, hand-foot skin rash, abdominal pain, hypertension, and anorexia were identified as the AEs with the highest frequencies of any grade. REFLECT eligibility criteria including tumor extent ≥50% liver occupation or inadequate bone marrow function and occurrence of anorexia were prognostic factors for survival, and occurrence of diarrhea was a favorable factor for disease progression.

CONCLUSION

Lenvatinib therapy showed a favorable efficacy and safety in a real-world practice. The REFLECT eligibility criteria and specific AEs could be one of the prognostic markers.

A Machine Learning Approach Yields a Multiparameter Prognostic Marker in Liver Cancer

A number of staging systems have been developed to predict clinical outcomes in hepatocellular carcinoma (HCC). However, no general consensus has been reached regarding the optimal model. New approaches such as machine learning (ML) strategies are powerful tools for incorporating risk factors from multiple platforms. We retrospectively reviewed the baseline information, including clinicopathologic characteristics, laboratory parameters, and peripheral immune features reflecting T-cell function, from three HCC cohorts. A gradient-boosting survival (GBS) classifier was trained with prognosis-related variables in the training dataset and validated in two independent cohorts. We constructed a 20-feature GBS model classifier incorporating one clinical feature, 14 laboratory parameters, and five T-cell function parameters obtained from peripheral blood mononuclear cells. The GBS model-derived risk scores demonstrated high concordance indexes (C-indexes): 0.844, 0.827, and 0.806 in the training set and validation sets 1 and 2, respectively. The GBS classifier could separate patients into high-, medium- and low-risk subgroups with respect to death in all datasets (P < 0.05 for all comparisons). A higher risk score was positively correlated with a higher clinical stage and the presence of portal vein tumor thrombus (PVTT). Subgroup analyses with respect to Child-Pugh class, Barcelona Clinic Liver Cancer stage, and PVTT status supported the prognostic relevance of the GBS-derived risk algorithm independent of the conventional tumor staging system. In summary, a multiparameter ML algorithm incorporating clinical characteristics, laboratory parameters, and peripheral immune signatures offers a different approach to identify patients with the greatest risk of HCC-related death.

EZ-ALBI Score for Predicting Hepatocellular Carcinoma Prognosis

INTRODUCTION

The ALBI score is acknowledged as the gold standard for the assessment of liver function in patients with hepatocellular carcinoma (HCC). Unlike the Child-Pugh score, the ALBI score uses only objective parameters, albumin (Alb) and total bilirubin (T.Bil), enabling a better evaluation. However, the complex calculation of the ALBI score limits its applicability. Therefore, we developed a simplified ALBI score, based on data from a large-scale HCC database. We used the data of 5,249 naïve HCC cases registered in eight collaborating hospitals.

METHODS

We developed a new score, the EZ (Easy)-ALBI score, based on regression coefficients of Alb and T.Bil for survival risk in a multivariate Cox proportional hazard model. We also developed the EZ-ALBI grade and EZ-ALBI-T grade as alternative options for the ALBI grade and ALBI-T grade and evaluated their stratifying ability.

RESULTS

The equation used to calculate the EZ-ALBI score was simple {[T.Bil (mg/dL)] - [9 × Alb (g/dL)]}; this value highly correlated with the ALBI score (correlation coefficient, 0.981; p < 0.0001). The correlation was preserved across different Barcelona clinic liver cancer grade scores (regression coefficient, 0.93-0.98) and across different hospitals (regression coefficient, 0.98-0.99), indicating good generalizability. Although a good agreement was observed between ALBI and EZ-ALBI, discrepancies were observed in patients with poor liver function (T.Bil, ≥3 mg/dL; regression coefficient, 0.877). The stratifying ability of EZ-ALBI grade and EZ-ALBI-T grade were good and their Akaike's information criterion values (35,897 and 34,812, respectively) were comparable with those of ALBI grade and ALBI-T grade (35,914 and 34,816, respectively).

CONCLUSIONS

The EZ-ALBI score, EZ-ALBI grade, and EZ-ALBI-T grade are useful, simple scores, which might replace the conventional ALBI score in the future.

A new classification for hepatocellular carcinoma with hepatic vein tumor thrombus

Background

Hepatic vein tumor thrombus (HVTT) is a significant poor risk factor for survival outcomes in hepatocellular carcinoma (HCC) patients. Currently, the widely used international staging systems for HCC are not refined enough to evaluate prognosis for these patients. A new classification for macroscopic HVTT was established, aiming to better predict prognosis.

Methods

This study included 437 consecutive HCC patients with HVTT who underwent different treatments. Overall survival (OS) and time-dependent receiver operating characteristic (ROC) curve area analysis were used to determine the prognostic capacities of the new classification when compared with the different currently used staging systems.

Results

The new HVTT classification was defined as: type I, tumor thrombosis involving hepatic vein (HV), including microvascular invasion; type II, tumor thrombosis involving the retrohepatic segment of inferior vena cava; and type III, tumor thrombosis involving the supradiaphragmatic segment of inferior vena cava. The numbers (percentages) of patients with types I, II, and III HVTT in the new classification were 146 (33.4%), 143 (32.7%), and 148 (33.9%), respectively. The 1-, 2-, and 3-year OS rates for types I to III HVTT were 79.5%, 58.6%, and 29.1%; 54.8%, 23.3%, and 13.8%; and 24.0%, 10.0%, and 2.1%, respectively. The time-dependent-ROC curve area analysis demonstrated that the predicting capacity of the new HVTT classification was significantly better than any other staging systems.

Conclusions

A new HVTT classification was established to predict prognosis of HCC patients with HVTT who underwent different treatments. This classification was superior to, and it may serve as a supplement to, the commonly used staging systems.

Analysis of Post-Progression Survival in Patients with Unresectable Hepatocellular Carcinoma Treated with Lenvatinib

BACKGROUND

Although a strong antitumor effect of lenvatinib (LEN) has been noted for patients with unresectable hepatocellular carcinoma (HCC), there are still no reports on the prognosis for patients with disease progression after first-line LEN therapy.

METHODS

Patients (n = 141) with unresectable HCC, Child-Pugh class A liver function, and an Eastern Cooperative Oncology Group performance status (ECOG-PS) of 0 or 1 who were treated with LEN from March 2018 to December 2019 were enrolled.

RESULTS

One hundred and five patients were treated with LEN as first-line therapy, 53 of whom had progressive disease (PD) at the radiological evaluation. Among the 53 patients with PD, there were 27 candidates for second-line therapy, who had Child-Pugh class A liver function and an ECOG-PS of 0 or 1 at progression. After progression on first-line LEN, 28 patients were treated with a molecular targeted agent (MTA) as second-line therapy (sorafenib: n = 26; ramucirumab: n = 2). Multivariate analysis identified modified albumin-bilirubin grade 1 or 2a at LEN initiation (odds ratio 5.18, 95% confidence interval [CI] 1.465-18.31, p = 0.011) as a significant and independent factor for candidates. The median post-progression survival after PD on first-line LEN was 8.3 months. Cox hazard multivariate analysis showed that a low alpha-fetoprotein level (<400 ng/mL; hazard ratio [HR] 0.297, 95% CI 0.099-0.886, p = 0.003), a relative tumor volume <50% at the time of progression (HR 0.204, 95% CI 0.07-0.592, p = 0.03), and switching to MTAs as second-line treatment after LEN (HR 0.299, 95% CI 0.12-0.746, p = 0.01) were significant prognostic factors.

CONCLUSION

Among patients with PD on first-line LEN, good liver function at introduction of LEN was an important and favorable factor related to eligibility for second-line therapy. In addition, post-progression treatment with MTAs could improve the prognosis for patients who had been treated with first-line LEN.

Reclassification of tumor size for solitary HBV-related hepatocellular carcinoma by minimum p value method: a large retrospective study

Background and objectives

Tumor size is one of the most important issues for hepatocellular carcinoma (HCC) treatment and prognosis, but the classification of it is still controversial. The aim of this study was to screen appropriate cutoffs for size of solitary hepatitis B virus (HBV)-related HCC.

Methods

A cohort of 1760 patients with solitary HBV-related HCC undergoing curative liver resection was divided into 11 groups based on tumor size in 1-cm interval. The minimum p value method was used to screen the appropriate size cutoff according to overall survival (OS). If multiple cutoffs meet the above standard, a univariate analysis will be performed by using the Cox proportional hazards regression model, and hazard ratio (HR) will be considered as a criterion to assess the difference in survival.

Results

There are 8 dichotomy, 8 trichotomy, and no inquartation cutoffs that were screened when classifying tumor sizes in accordance with OS. The HR values of tumor size at these trichotomy cutoffs for OS were compared, and the highest HR value is 2.79 when size cutoff is 3/9 cm. Then, we reclassified patients into three new classifications: ≤ 3 cm (n = 422), > 3 and ≤ 9 cm (n = 1072), and > 9 cm (n = 266). The comparison of clinicopathologic characteristics among these three classifications showed that the increase of tumor size was associated with the increase of α-fetoprotein (AFP), microvascular invasion (MVI), tumor differentiation, and liver cirrhosis. And the comparison of the OS among three classifications showed statistical differences.

Conclusions

This study suggested that size criteria of 3 cm and 9 cm in solitary HBV-related HCC patients were appropriate based on biological characteristics and prognostic significance.

Relationship between presarcopenia and event occurrence in patients with primary hepatocellular carcinoma

Presarcopenia is a prognostic factor in patients with hepatocellular carcinoma (HCC). The Japan integrated staging (JIS) score is a prognostic method that combines the Child–Turcotte–Pugh classification and the tumor-node-metastasis (TNM) staging for HCC. We investigated the relationship between presarcopenia, the JIS score, and prognosis in patients with primary HCC. This retrospective study included 153 patients with primary HCC who were hospitalized from October 2011 to March 2018 at Municipal Hospital of Kofu. The skeletal muscle mass was measured using simplified psoas muscle mass index (PMI) based on CT imaging, and PMI using the volume analyzer SYNAPSE VINCENT ver3.0. We diagnosed presarcopenia based on the cut off value according to the assessment criteria for sarcopenia in liver disease defined by the Japan Society of Hepatology. Forty-three patients (28%) were diagnosed with presarcopenia. The median event-free survival was significantly worse in patients with presarcopenia than those without presarcopenia (P = 0.016). In multivariate analysis, presence of presarcopenia, JIS score ≥3, alpha-fetoprotein ≥200 ng/ml, and prothrombin induced by vitamin K absence-II ≥ 200 mAU/ml were significant prognostic factors. Among the patients with JIS scores ≥3, there was no difference in the event occurrence rate with presence of presarcopenia (P = 0.96). Among the patients with JIS scores ≤2, the median event-free-survival was significantly shorter in those with presarcopenia than those without presarcopenia (P = 0.045). Presarcopenia was an independent prognostic factor in patients with primary HCC. In patients with JIS scores ≤2, the median event-free survival was significantly shorter in those with presarcopenia compared to those without presarcopenia. In the patients with JIS scores ≥3, there was no difference in the event occurrence rates in those with and without presarcopenia.

Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment

Hepatocellular carcinoma (HCC) is one of the main cancer-related causes of death worldwide. Thus, there is a constant search for improvement in screening, diagnosis, and treatment strategies to improve the prognosis of this malignancy. The identification of useful biomarkers for surveillance and early HCC diagnosis is still deficient, with available serum biomarkers showing low sensitivity and heterogeneous specificity despite different cut-off points, even when assessed longitudinally, or with a combination of serum biomarkers. In contrast, HCC biomarkers used for prognostic (when associated with clinical outcomes) or predictive purposes (when associated with treatment response) may have an increased clinical role in the near future. Furthermore, some serum biomarkers are already implicated as a treatment selection tool, whether to provide access to certain therapies or to assess clinical benefit after treatment. In the present review we will discuss the clinical utility and foreseen future of HCC biomarkers implicated in surveillance, diagnosis, prognosis, and post-treatment assessment.

Prognostic model for identifying candidates for hepatectomy among patients with hepatocellular carcinoma and hepatic vein invasion

BACKGROUND

Hepatic vein tumour thrombus (HVTT) is a major determinant of survival outcomes for patients with hepatocellular carcinoma (HCC). An Eastern Hepatobiliary Surgery Hospital (EHBH)-HVTT model was established to predict the prognosis of patients with HCC and HVTT after liver resection, in order to identify optimal candidates for liver resection.

METHODS

Patients with HCC and HVTT from 15 hospitals in China were included. The EHBH-HVTT model with contour plot was developed using a non-linear model in the training cohort, and subsequently validated in internal and external cohorts.

RESULTS

Of 850 patients who met the inclusion criteria, there were 292 patients who had liver resection and 198 who did not in the training cohort, and 124 and 236 in the internal and external validation cohorts respectively. Contour plots for the EHBH-HVTT model were established to predict overall survival (OS) rates of patients visually, based on tumour diameter, number of tumours and portal vein tumour thrombus. This differentiated patients into low- and high-risk groups with distinct long-term prognoses in the liver resection cohort (median OS 34·7 versus 12·0 months; P < 0·001), internal validation cohort (32·8 versus 10·4 months; P = 0·002) and external validation cohort (15·2 versus 6·5 months; P = 0·006). On subgroup analysis, the model showed the same efficacy in differentiating patients with HVTT in peripheral and major hepatic veins, the inferior vena cava, or in patients with coexisting portal vein tumour thrombus.

CONCLUSION

The EHBH-HVTT model was accurate in predicting prognosis in patients with HCC and HVTT after liver resection. It identified optimal candidates for liver resection among patients with HCC and HVTT, including tumour thrombus in the inferior vena cava, or coexisting portal vein tumour thrombus.

Comparison of FIB-4 Index and Child-Pugh Score in Predicting the Outcome of Hepatic Resection for Hepatocellular Carcinoma

BACKGROUND AND AIMS

The Child-Pugh (CP) score is a widely used method to assess liver function and predict postoperative outcomes in patients with hepatocellular carcinoma (HCC). Recently, the fibrosis index (FIB-4) has been demonstrated to be closely associated with liver fibrosis and cirrhosis. This study aimed to compare the capability of FIB-4 index with CP score in predicting the outcomes for HCC patients after hepatectomy.

METHODS

A total of 495 HCC patients who underwent hepatectomy were enrolled. The performance of the FIB-4 index in predicting postoperative liver failure (PHLF) and overall survival was compared with that of the CP score.

RESULTS

Of them, 9.3% (46/495) patients developed PHLF. The area under the receiver operating characteristic (ROC) curve of the FIB-4 index for predicting PHLF was greater than that of the CP score (0.744 versus 0.621; P = 0.044). The optimal cutoff value of the FIB-4 index for predicting PHLF was 4.16. Multivariable analyses revealed that the FIB-4 index was an independent predictor of PHLF regardless of the hepatectomy subgroups, but the CP grade was only a significant predictor of PHLF in the minor hepatectomy subgroup. The FIB-4 index (4.16) stratified patients into two distinct overall survival cohorts (P = 0.006). The FIB-4 index also classified patients with the Barcelona Clinical Liver Cancer (BCLC) stages 0 and A into two distinct overall survival cohorts (P = 0.001 and P = 0.034, respectively).

CONCLUSION

The FIB-4 index may be a better predictor of PHLF and overall survival in HCC patients with hepatectomy than CP score.

Analyses of objective response rate, progression-free survival, and adverse events in hepatocellular carcinoma patients treated with lenvatinib: A multicenter retrospective study

AIM

The aim of this study was to investigate the predictive factors of objective response rate (ORR) and progression-free survival (PFS), and the correlation of albumin-bilirubin (ALBI) grade with decreased appetite and fatigue in hepatocellular carcinoma patients treated with lenvatinib.

METHODS

From March 2018 to December 2018, a total of 94 patients was included in this retrospective multicenter study.

RESULTS

The median age of all patients was 73 years (interquartile range 66-79.3 years), and approximately 78% patients were men. The ALBI grade was 1, 2, and 3 in 27 (28.7%), 64 (68.1%), and three patients (3.2%), respectively. The Barcelona Clinic Liver Cancer stage was early, intermediate, and advanced in one (1.1%), 22 (23.4%), and 71 patients (75.5%), respectively. Best radiological response was determined to complete response, partial response, stable disease, and progressive disease in 0 (0.0%), 24 (30.4%), 38 (48.1%), and 17 patients (21.5%), respectively, giving the ORR of 30.4%. The 3-, 6-, and 12-month PFS was calculated to be 78.7% (95% CI 70.3-87.1%), 46.7% (95% CI 36.1-57.3%), and 17.4% (95% CI 6.6-28.2%). Multivariate analysis showed that the Barcelona Clinic Liver Cancer intermediate stage was shown to be the only significant factor affecting the ORR (odds ratio 3.78, 95% CI 1.14-12.5, P = 0.030) and PFS (hazard ratio 0.49, 95% CI 0.26-0.94, P = 0.030). The incidence of all grades of decreased appetite and fatigue was significantly less in patients with ALBI grade 1 compared with ALBI grade 2 + 3.

CONCLUSIONS

The Barcelona Clinic Liver Cancer intermediate stage was the predictive factor affecting the ORR and PFS, and ALBI grade was a good predictive factor affecting the incidence of fatigue and decreased appetite.

Nomograms to predict the long-time prognosis in patients with alpha-fetoprotein negative hepatocellular carcinoma following radical resection

Background

To develop and validate nomograms that can be used to predict outcomes in individuals suffering alpha‐fetoprotein (AFP) negative hepatocellular carcinoma (HCC) after radical resection.

Methods

A total of 509 AFP‐negative HCC patients who received hepatectomy between January 2009 and March 2013 in our center were randomized into training and validation cohorts. Nomograms for both overall and recurrence‐free survival (OS and RFS, respectively) were established based on the predictors in the training cohort. Nomograms performance and discriminative power were assessed with concordance index (C‐index) values and decision curve analyses (DCA). The results were validated in the validation cohort.

Results

Alkaline phosphatase, liver cirrhosis, tumor size, satellite lesions, microvascular invasion, and Edmondson‐Steiner grade were significantly linked to OS and RFS. Sex and tumor number were additional predictors for RFS. The OS nomogram had a C‐index value of 0.742, which was better than that for the AJCC eighth edition (0.632), BCLC system (0.553), and JIS score (0.557) (all P < .001). The RFS nomogram C‐index was 0.669, which was also superior to that of the AJCC eighth (0.608), BCLC stage (0.554), JIS score (0.551), and model of Gan et al (0.636) (P < .05 for all). Calibration curves indicated a good agreement between observed actual outcomes and predicted values. Kaplan‐Meier curves and DCA indicated that nomograms were powerful in discrimination and clinical usefulness. These results were supported by the validation cohort.

Conclusions

These nomograms presented more accurate prognostic prediction in patients with AFP‐negative HCC after hepatectomy.

Prognostic Value of Albumin-to-Alkaline Phosphatase Ratio in Hepatocellular Carcinoma Patients Treated with Liver Transplantation

Background: The albumin-to-alkaline phosphatase ratio (AAPR) is a newly developed index which was used to predict prognosis of HCC patients. However, its prognostic role in HCC patients undergoing liver transplantation (LT) remains unclear. This study aimed to investigate the correlation between AAPR and prognosis of these patients. Methods: A total of 210 patients who underwent LT from January 2003 to January 2014 were retrospectively analyzed (149 for discovery and 61 for validation). Univariate and multivariate analyses were performed to determine the discriminative ability of the AAPR in predicting long-term survival. The area under the receiver operating characteristic (AUC) was calculated to compare the accuracy of different factors. Results: Patients with high AAPR level were associated with less ascites rate (30.6% versus 53.2%, P=0.033) as well as more frequencies of Child-Pugh class A (73.6% versus 35.1%, P=0.001). Univariate and multivariate analyses suggested the AAPR was independent prognostic factor in predicting overall survival (HR: 0.585, 95% CI: 0.363-0.941, P=0.027). Validation cohort confirmed prognostic value of AAPR. Subgroup analysis demonstrated that reduced AAPR level was associated with worse prognosis in HCC patients categorized in Child-Pugh class A (P=0.029). The AUCs of the AAPR were 0.710 and 0.744 in predicting 3-year and 5-year survival outcomes, respectively. Conclusions: The study showed in two independent cohorts of HCC patients treated by LT that elevated AAPR was associated with better OS. As a low-cost routine laboratory test, it should be considered as biomarker in the clinical management of HCC.

Biology and significance of alpha-fetoprotein in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related deaths globally due, in part, to the majority of patients being diagnosed with intermediate or advanced stage disease. Our increased understanding of the heterogeneous molecular pathogenesis of HCC has led to significant developments in novel targeted therapies. Despite these advances, there remains a high unmet need for new treatment options. HCC is a complex disease with multiple pathogenic mechanisms caused by a variety of risk factors, making it difficult to characterize with a single biomarker. In fact, numerous biomarkers have been studied in HCC, but alpha-fetoprotein (AFP) remains the most widely used and accepted serum marker since its discovery over 60 years ago. This review summarizes the most relevant studies associated with the regulation of AFP at the gene and protein levels; the pathophysiology of AFP as a pro-proliferative protein; and the correlation of AFP with molecular HCC subclasses, the vascular endothelial growth factor pathway and angiogenesis. Also described are the historical and current uses of AFP for screening and surveillance, diagnosis, its utility as a prognostic and predictive biomarker and its role as a tumour antigen in HCC. Taken together, these data demonstrate the relevance of AFP for patients with HCC and identify several remaining questions that will benefit from future research.

Endoscopic hepatic resection and endoscopic radiofrequency ablation as initial treatments for hepatocellular carcinoma within the Milan criteria

PURPOSES

The indication of endoscopic (laparoscopic and thoracoscopic) hepatic resection (HR) has been expanded in the past decade because of its low invasiveness. However, the indications of endoscopic HR and radiofrequency ablation (RFA) have not yet been determined.

METHODS

Among the 906 patients hospitalized for the initial treatment of hepatocellular carcinoma (HCC) between 2000 and 2017, 77 underwent endoscopic partial HR (E-pHR), and 94 underwent endoscopic RFA (E-RFA). We compared the short- and long-term outcomes between the E-pHR and E-RFA groups.

RESULTS

The patients in the E-RFA group were characterized primarily by an impaired liver function. Among the patients with liver damage B or C, the overall survival (OS) in the E-pHR group was significantly worse than in the E-RFA group (3-year OS: 36% vs. 82%, p = 0.003).

CONCLUSION

E-RFA may be recommended for the initial treatment of HCC in patients with a severely impaired liver function. However, E-pHR should be avoided as the initial treatment of HCC in such patients.

Hepatocellular carcinoma with non-B and non-C hepatitis origin: epidemiology in Japan and surgical outcome

During the last two decades, there has been a dramatic increase in so-called non-B non-C hepatocellular carcinoma (NBNC HCC) in Japan. Majority of NBNC HCC are considered as so-called metabolic HCC and some could be related to occult HBV infection. Although there have been some reports on histological features predominant in metabolic HCC, very few specific driver genes for NBNC HCC have been reported. Most of the NBNC HCC are found incidentally and are relatively large in size. Since liver function is generally normal or subnormal, such patients have a higher chance for undergoing curative surgery. Although there has been slightly conflicting long-term outcomes reported for NBNC HCC, slightly better outcomes may be expected compared to other etiologies after curative surgery. However, risk of recurrence depends on the background liver. NBNC HCC in cirrhotic patients have a persistently higher risk of tumor recurrence requiring a long-term postoperative surveillance. It would be safe to conclude at this moment that NBNC HCCs should be treated using the same surgical strategy as HCCs with viral origin, same operative indications and same follow-up protocol.

Hepatocellular carcinoma with non-B and non-C hepatitis origin: epidemiology in Japan and surgical outcome

During the last two decades, there has been a dramatic increase in so-called non-B non-C hepatocellular carcinoma (NBNC HCC) in Japan. Majority of NBNC HCC are considered as so-called metabolic HCC and some could be related to occult HBV infection. Although there have been some reports on histological features predominant in metabolic HCC, very few specific driver genes for NBNC HCC have been reported. Most of the NBNC HCC are found incidentally and are relatively large in size. Since liver function is generally normal or subnormal, such patients have a higher chance for undergoing curative surgery. Although there has been slightly conflicting long-term outcomes reported for NBNC HCC, slightly better outcomes may be expected compared to other etiologies after curative surgery. However, risk of recurrence depends on the background liver. NBNC HCC in cirrhotic patients have a persistently higher risk of tumor recurrence requiring a long-term postoperative surveillance. It would be safe to conclude at this moment that NBNC HCCs should be treated using the same surgical strategy as HCCs with viral origin, same operative indications and same follow-up protocol.

Newly Proposed ALBI Grade and ALBI-T Score as Tools for Assessment of Hepatic Function and Prognosis in Hepatocellular Carcinoma Patients

BACKGROUND

Because of the rapid progression of antiviral treatment options and the increasing frequency of nonviral-related hepatocellular carcinoma (HCC) due to the aging of society, the number of HCC patients with good hepatic function has been increasing and a more detailed method of assessment of hepatic function is needed. The Child-Pugh classification (CP) is used worldwide as an assessment tool for hepatic reserve function, even though it has some weaknesses. Recently, the albumin-bilirubin (ALBI) grade, calculated based on only albumin and total bilirubin, was proposed, and recent investigations have suggested that ALBI grade instead of CP can be used as an assessment tool for hepatic function as part of therapeutic strategies such as Barcelona Clinic Liver Cancer staging and a practical guideline presented by the Japan Society of Hepatology as well for total staging scoring systems. There has been an increasing number of reports showing that it has better capability than CP for HCC patients who undergo not only curative but also palliative treatments. Transcatheter arterial chemoembolization (TACE) is a major palliative treatment used for unresectable HCC, and the idea of TACE-refractory status has been proposed to indicate the possibility of switching to a tyrosine kinase inhibitor (TKI). However, TKI administration requires a maintained hepatic reserve function, thus the importance of assessment of hepatic function in patients undergoing TACE treatments has increased. We consider that ALBI grade might also play a significant role as part of a detailed assessment of relative changes in hepatic function during treatment. In this review, we evaluate the practical usefulness of ALBI grade for assessing hepatic function and HCC prognosis.

KEY MESSAGE

A detailed assessment of hepatic function is required for recent HCC therapeutic strategies. ALBI grade may be a powerful tool to improve treatment options for affected patients.

A global view of hepatocellular carcinoma: trends, risk, prevention and management

Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related death worldwide. Risk factors for HCC include chronic hepatitis B and hepatitis C, alcohol addiction, metabolic liver disease (particularly nonalcoholic fatty liver disease) and exposure to dietary toxins such as aflatoxins and aristolochic acid. All these risk factors are potentially preventable, highlighting the considerable potential of risk prevention for decreasing the global burden of HCC. HCC surveillance and early detection increase the chance of potentially curative treatment; however, HCC surveillance is substantially underutilized, even in countries with sufficient medical resources. Early-stage HCC can be treated curatively by local ablation, surgical resection or liver transplantation. Treatment selection depends on tumour characteristics, the severity of underlying liver dysfunction, age, other medical comorbidities, and available medical resources and local expertise. Catheter-based locoregional treatment is used in patients with intermediate-stage cancer. Kinase and immune checkpoint inhibitors have been shown to be effective treatment options in patients with advanced-stage HCC. Together, rational deployment of prevention, attainment of global goals for viral hepatitis eradication, and improvements in HCC surveillance and therapy hold promise for achieving a substantial reduction in the worldwide HCC burden within the next few decades.

Clinical and morpho-molecular classifiers for prediction of hepatocellular carcinoma prognosis and recurrence after surgical resection

BACKGROUND

Approximately 50% hepatocellular carcinoma (HCC) patients die within 5 year after surgical resection. The present staging systems do not fully allow to accurately predict the HCC prognosis and recurrence. This study aimed to identify clinicopathological characteristics and molecular markers to establish classifiers to predict the 5-year overall survival (OS) and the 3-year recurrence in HCC patients post-operatively.

METHODS

We enrolled 647 HCC patients from two institutions, underwent surgical resection and divided the patients into one training and two validation cohorts. Clinicopathologic characteristics and tumor protein expression of 29 biomarkers by immunohistochemical (IHC) analysis were used to develop and validate a prognostic and a recurrent classifier, using the maximum relevance minimum redundancy algorithm jointly with the multivariable regression method.

RESULTS

The prognostic classifier distinguished HCC patients into high- and low-probability survival groups with significant differences in 5-year OS rate in all three cohorts (training cohort: 57.36% vs. 22.97%; p < 0.0001; internal validation cohort: 61.90% vs. 28.85%; p < 0.0001; independent validation cohort: 64.28% vs. 22.45%; p < 0.0001). The recurrent classifier also demonstrated good discrimination in all three cohorts.

CONCLUSION

This study presented a prognostic classifier and a recurrent classifier using clinicopathologic and IHC characteristics. The developed classifiers stratified HCC patients into high- and low-probability survival or recurrent groups, which can help clinicians judge whether adjuvant therapy is beneficial post-operatively.