Risk factors for early death due to recurrence after liver resection for hepatocellular carcinoma: results of a multicenter study

A non-invasive nomogram for the prediction of poor prognosis of hepatocellular carcinoma based on the novel marker Interleukin-41

Death and tumor recurrence are both important adverse prognostic factors for hepatocellular carcinoma(HCC) patients. This article aims to discuss the risk factors for recurrence and death in patients with HCC after R0 resection, and to establish a nomogram model for predicting the recurrence and death of HCC patients.A total of 224 HCC patients after R0 resection were enrolled and divided into a training cohort (n = 149) and a validation cohort (n = 75) The risk factors for recurrence and death were determined based on cox regression analysis. A nomogram containing independent risk predictors was established and validated.The recurrence rate of 224 cases of HCC after R0 resection was 43.30%. The high expression of interleukin-41(IL41) (HR = 2.446, P = 0.000), intratumoral artery (HR = 1.862, P = 0.005), and MVI1 subgroup of microvascular invasion(MVI) grade (HR = 1.541, P = 0.031) are independent risk factors associated with recurrence after resection of HCC. The mortality rate was 15.63%. The high expression of IL-41 (HR = 4.679, P = 0.000), tumor size ≥ 5 cm (HR = 3.745, P = 0.001), and Aspartate transaminase(AST) concentration 45-90u/L (HR = 2.837, P = 0.015) are independent risk factors associated with mortality. Interleukin-41(IL-41), microvascular invasion(MVI), and intratumoral artery are independent risk factors for recurrence after resection of hepatocellular carcinoma. IL-41, tumor size, and Aspartate transaminase(AST) are independent risk factors for death after resection of hepatocellular carcinoma. We developed and validated two multivariate nomograms, and conducted validation. The nomogram models have achieved ideal results in predicting the recurrence and death of HCC patients.

Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT

Aim

To develop a habitat imaging method for preoperative prediction of early postoperative recurrence of hepatocellular carcinoma.

Methods

A retrospective cohort study was conducted to collect data on 344 patients who underwent liver resection for HCC. The internal subregion of the tumor was objectively delineated and the clinical features were also analyzed to construct clinical models. Radiomics feature extraction was performed on tumor subregions of arterial and portal venous phase images. Machine learning classification models were constructed as a fusion model combining the three different models, and the models were assessed.

Results

A comprehensive retrospective analysis was conducted on a cohort of 344 patients who underwent hepatic cancer resection at one of the two centers. it was found that the combined SVM model yielded superior results after comparing various metrics, such as the AUC, accuracy, sensitivity, specificity, and DCA.

Conclusions

Habitat analysis of sequential CT images can delineate distinct subregions within a tumor, offering valuable insights for early prediction of postoperative HCC recurrence.

Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

BACKGROUND

Hepatocellular carcinoma (HCC) recurrence is highly correlated with increased mortality. Microvascular invasion (MVI) is indicative of aggressive tumor biology in HCC.

AIM

To construct an artificial neural network (ANN) capable of accurately predicting MVI presence in HCC using magnetic resonance imaging.

METHODS

This study included 255 patients with HCC with tumors < 3 cm. Radiologists annotated the tumors on the T1-weighted plain MR images. Subsequently, a three-layer ANN was constructed using image features as inputs to predict MVI status in patients with HCC. Postoperative pathological examination is considered the gold standard for determining MVI. Receiver operating characteristic analysis was used to evaluate the effectiveness of the algorithm.

RESULTS

Using the bagging strategy to vote for 50 classifier classification results, a prediction model yielded an area under the curve (AUC) of 0.79. Moreover, correlation analysis revealed that alpha-fetoprotein values and tumor volume were not significantly correlated with the occurrence of MVI, whereas tumor sphericity was significantly correlated with MVI (P < 0.01).

CONCLUSION

Analysis of variable correlations regarding MVI in tumors with diameters < 3 cm should prioritize tumor sphericity. The ANN model demonstrated strong predictive MVI for patients with HCC (AUC = 0.79).

Sarcopenia as a prognostic factor in patients with hepatocellular carcinoma treated with transcatheter arterial chemoembolization plus sorafenib

INTRODUCTION

Loss of skeletal muscle volume is an important aspect of sarcopenia in hepatocellular carcinoma (HCC) patients treated by surgical resection, transcatheter arterial chemoembolization (TACE), or sorafenib.

PURPOSE

This study determined the influence of sarcopenia and other laboratory results on survival in patients with HCC treated with TACE plus sorafenib.

METHODS

The patients were divided into two groups based on the presence of sarcopenia. The skeletal muscle index was calculated by normalizing the cross-sectional muscle area at the L3 level on an abdominal computed tomography scan before embolization according to the patient's height. The clinical characteristics of the two groups were then compared. The progression-free survival (PFS) and overall survival (OS) rates after treatment were determined.

RESULTS

Sarcopenia was present in 75 of the 102 (74%) patients with HCC included in this study. The albumin, prealbumin, and cholinesterase levels were lower in those with sarcopenia. The OS (P = 0.001) and PFS (P = 0.008) were significantly prolonged in the nonsarcopenia group compared to the sarcopenia group. Sarcopenia, ECOG (≥2), and prealbumin (<180 mg/L) were significantly associated with PFS. Sarcopenia, ECOG (≥2), Child-Pugh B, BCLC stage C, prealbumin (<180 mg/L), and cholinesterase (<5,320 U/L) were significantly associated with OS. The prognostic factors for OS included sarcopenia, ECOG (≥2), and cholinesterase (<5,320 U/L), whereas only ECOG (≥2) was identified as a prognostic factor for PFS.

CONCLUSION

Sarcopenia may be an indicator of poor clinical outcome in patients with HCC receiving TACE plus sorafenib.

Hepatic Arterial Infusion Chemotherapy vs Transcatheter Arterial Chemoembolization as Adjuvant Therapy Following Surgery for MVI-Positive Hepatocellular Carcinoma: A Multicenter Propensity Score Matching Analysis

Background

Microvascular invasion (MVI) is a significant pathological feature in hepatocellular carcinoma (HCC), adjuvant hepatic arterial infusion chemotherapy (a-HAIC) and adjuvant transcatheter arterial chemoembolization (a-TACE), are commonly used for HCC patients with MVI. This study aims to evaluate the efficacies of two adjuvant therapies after surgical treatment for HCC, compare them, and identify the significant factors.

Methods

Clinical data from two randomized controlled trials involving HCC patients with MVI after surgical treatment were retrospectively reviewed. Propensity score matching (PSM) analysis was performed to balance baseline differences between patients who received a-HAIC or a-TACE, and control groups who underwent hepatectomy alone. Disease-free survival (DFS) and overall survival (OS) rates were compared.

Results

In total of 549 patients were collected from two randomized controlled trials. Using the PSM and Kaplan-Meier method, the median DFS of the a-HAIC, a-TACE, and control groups was 63.2, 21.7, and 11.2 months (P<0.05). The a-HAIC group show significantly better 1-, 3-, and 5-year OS rates compared to the a-TACE and control groups (96.3%, 80.0%, 72.8% vs 84.4%, 57.0%, 29.8% vs 84.5%, 62.8%, 53.4%, P<0.05). But the OS rates of a-TACE and control groups showed no significant difference (P=0.279). Multivariate analysis identified a-HAIC (HR=0.449, P=0.000) and a-TACE (HR=0.633, P=0.007) as independent protective factors. For OS, a-HAIC (HR=0.388, P=0.003) was identified as an independent protective factor, too.

Conclusion

Compared to a-TACE and the control group, a-HAIC demonstrated greater benefits in preventing tumor recurrence and improving survival in HCC patients with MVI.

Establishment and Validation of the LI-RADS Morphologic Type II Hepatocellular Carcinoma Early Recurrence Risk Scoring System

BACKGROUND

Tumor morphology links to early recurrence of hepatocellular carcinoma. Controversy exists regarding the recurrence risk of Liver Imaging Reporting and Data System morphologic Type II hepatocellular carcinoma. This study aims to explore risk factors for early recurrence of Type II hepatocellular carcinoma.

METHODS

Retrospective analysis of hepatocellular carcinoma patients who underwent curative resection and preoperative contrast-enhanced MRI from June 2016 to June 2020. Our patients formed the development set, and hepatocellular carcinoma patients from the TCIA database served as validation. Univariable and multivariable Cox regression identified independent risk factors for early recurrence. A risk scoring system was established for risk stratification, and an early recurrence prediction model was developed and validated.

RESULTS

95 Type II hepatocellular carcinoma patients were in the development set, and 29 cases were in the validation set. Early recurrence rates were 33.7% and 37.9%, respectively. Multivariate analysis revealed age, histological grade, AFP, and intratumoral hemorrhage as independent risk factors for early recurrence. The model's diagnostic performance for early recurrence was AUC = 0.817 in the development set. A scoring system classified patients into low-risk (scores ≤ 3) and high-risk (scores > 3) groups. The high-risk group had significantly lower recurrence-free survival (40.0% vs 73.2%, P = 0.001), consistent with the validation set (25.0% vs 73.3%, P = 0.028).

CONCLUSIONS

The risk scoring system demonstrated excellent discrimination and predictive ability, aiding clinicians in assessing early recurrence risk and identifying high-risk individuals effectively.

Frizzled-3 suppression overcomes multidrug chemoresistance by Wnt/β-catenin signaling pathway inhibition in hepatocellular carcinoma cells

Multidrug resistance (MDR) is a major obstacle to the efficacy of hepatocellular carcinoma (HCC) chemotherapy. Previous studies have identified that low FZD3 predicted decreased survival after intraperitoneal versus intravenous-only chemotherapy in ovarian cancer. This study aimed to identify a potential target in HCC chemotherapy. The FZD3 expression variant in HCC cell lines was detected by RT-qPCR and western blotting. The FZD3 expression in the early recurrent HCC group (RE group) and the non-early recurrent HCC group (non-RE group) was measured by RT-qPCR. Then, the 50% inhibitory concentrations (IC50) in HCC cell lines were studied by MTT assay. TOP/FOP FLASH luciferase assay was performed to measure TCF-binding activities. We found that FZD3 was upregulated in three HCC cell lines, and the FZD3 expression was significantly higher in the RE group than in the non-RE group (P = 0.0344). A positive correlation between FZD3 and MDR1 was observed in HCC tissues (R2 = 0.6368, P = 0.0001). Then, we found that FZD3 knockdown significantly altered Huh-7 cell chemotherapeutic sensitivity to cisplatin [50.43 µM in the FZD3 siRNA (siFZD3) group vs 98.59 µM in the siRNA negative control (siNC) group; P = 0.007] or doxorubicin (7.43 µM in the siFZD3 group vs 14.93 µM in the siNC group; P = 0.017). TOP/FOP FLASH luciferase assay showed FZD3 could inhibit Wnt/β-catenin signaling in HCC cells. Moreover, FZD3 expression knockdown in SNU-449 and Huh-7 cells markedly reduced β-catenin and phosho-β-catenin (S37) protein expression, and Cyclin D1, c-myc and MDR1 were significantly decreased. This is the first study to describe the significantly increased FZD3 expression in patients with early recurrent HCC. FZD3 knockdown led to increased sensitivity to chemotherapy by Wnt/β-catenin signaling inhibition in HCC cell lines. Our study suggests FZD3 as a potential target for reversing chemoresistance in HCC.

Preoperative Predictors of Early Recurrence After Liver Resection for Multifocal Hepatocellular Carcinoma

BACKGROUND

Liver transplantation remains the optimal treatment for multifocal hepatocellular carcinoma (HCC). However, due to resource constrains, other therapeutic modalities such as liver resection (LR), are frequently utilized. LR, however, has to be balanced against potential morbidity and mortality along with the risks of early recurrence leading to futile surgery. In this study, we evaluated preoperative factors, including inflammatory indices, in predicting early (< 1 year) recurrence in patients who underwent LR for multifocal HCC.

METHODS

This was a post hoc analysis of 250 consecutive patients with multifocal HCC who underwent LR.

RESULTS

After exclusion of 10 patients with 30-day/in-hospital mortality, 240 were included of which 134 (55.8%) developed early recurrence. Hepatitis B/C aetiology, 3/ > more hepatic nodules and elevated alpha-fetoprotein (AFP) ≥ 200 ng/ml were significant independent preoperative predictors of early recurrence. The early recurrence rate was 72.1% when 2 out of 3 significant predictive factors were present. The conglomerate of all 3 factors predicted early recurrence of 100% with a statistically significant association between number of predictive factors and early recurrence (p < 0.001).

CONCLUSION

Better patient selection via the use of preoperative predictive factors of early recurrence such as hepatitis B/C aetiology, ≥ 3 nodules and elevated AFP ≥ 200 ng/ml may assist in identifying patients in whom LR is deemed futile and improve resource allocation.

Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma

Objectives

The study developed and validated a radiomics nomogram based on a combination of computed tomography (CT) radiomics signature and clinical factors and explored the ability of radiomics for individualized prediction of Ki-67 expression in hepatocellular carcinoma (HCC).

Methods

First-order, second-order, and high-order radiomics features were extracted from preoperative enhanced CT images of 172 HCC patients, and the radiomics features with predictive value for high Ki-67 expression were extracted to construct the radiomic signature prediction model. Based on the training group, the radiomics nomogram was constructed based on a combination of radiomic signature and clinical factors that showed an independent association with Ki-67 expression. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to verify the performance of the nomogram.

Results

Sixteen higher-order radiomic features that were associated with Ki-67 expression were used to construct the radiomics signature (AUC: training group, 0.854; validation group, 0.744). In multivariate logistic regression, alfa-fetoprotein (AFP) and Edmondson grades were identified as independent predictors of Ki-67 expression. Thus, the radiomics signature was combined with AFP and Edmondson grades to construct the radiomics nomogram (AUC: training group, 0.884; validation group, 0.819). The calibration curve and DCA showed good clinical application of the nomogram.

Conclusion

The radiomics nomogram developed in this study based on the high-order features of CT images can accurately predict high Ki-67 expression and provide individualized guidance for the treatment and clinical monitoring of HCC patients.

CT-Based Radiomics Nomogram Improves Risk Stratification and Prediction of Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

Objectives

To develop and validate an intuitive computed tomography (CT)-based radiomics nomogram for the prediction and risk stratification of early recurrence (ER) in hepatocellular carcinoma (HCC) patients after partial hepatectomy.

Methods

A total of 132 HCC patients treated with partial hepatectomy were retrospectively enrolled and assigned to training and test sets. Least absolute shrinkage and selection operator and gradient boosting decision tree were used to extract quantitative radiomics features from preoperative contrast-enhanced CT images of the HCC patients. The radiomics features with predictive value for ER were used, either alone or in combination with other predictive features, to construct predictive models. The best performing model was then selected to develop an intuitive, simple-to-use nomogram, and its performance in the prediction and risk stratification of ER was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA).

Results

The radiomics model based on the radiomics score (Rad-score) achieved AUCs of 0.870 and 0.890 in the training and test sets, respectively. Among the six predictive models, the combined model based on the Rad-score, Edmondson grade, and tumor size had the highest AUCs of 0.907 in the training set and 0.948 in the test set and was used to develop an intuitive nomogram. Notably, the calibration curve and DCA for the nomogram showed good calibration and clinical application. Moreover, the risk of ER was significantly different between the high- and low-risk groups stratified by the nomogram (p <0.001).

Conclusions

The CT-based radiomics nomogram developed in this study exhibits outstanding performance for ER prediction and risk stratification. As such, this intuitive nomogram holds promise as a more effective and user-friendly tool in predicting ER for HCC patients after partial hepatectomy.

A Multimodality-Contribution-Aware TripNet for Histologic Grading of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a type of primary liver malignant tumor with a high recurrence rate and poor prognosis even undergoing resection or transplantation. Accurate discrimination of the histologic grades of HCC plays a critical role in the management and therapy of HCC patients. In this paper, we discuss a deep learning-based diagnostic model for HCC histologic grading with multimodal Magnetic Resonance Imaging (MRI) images to overcome the problem of limited well-annotated data and extract the discriminated fusion feature referring to the clinical diagnosis experience of radiologists. Accordingly, we propose a novel Multimodality-Contribution-Aware TripNet (MCAT) based on the metric learning and the attention-aware weighted multimodal fusion. The novelty of the method lies in the multimodality small-shot learning architecture designation and the multimodality adaptive weighted computing scheme. The comprehensive experiments are done on the clinic dataset with the well-annotation of lesion location by the professional radiologist. The experimental results show that our proposed MCAT is not only able to achieve acceptable quantitative measuring of HCC histologic grading based on the MRI sequences with small cases but also outperforms previous models in HCC histologic grading, reaching an accuracy of 84 percent, a sensitivity of 87 percent and precision of 89 percent.

A Novel Predictive Scoring System for 90-Day Mortality among Patients with Hepatocellular Cell Carcinoma Receiving Major Hepatectomy

Simple Summary

Hepatocellular carcinoma (HCC) is a major malignancy correlated with many cancer-related deaths. Surgical intervention provides superior long-term survival; however, perioperative mortality is a major concern for clinicians while making treatment decisions, especially for major hepatectomy. Scoring systems for predicting 90-day mortality in patients with HCC undergoing major hepatectomy are not available. By using the stepwise selection of the multivariate Cox proportional hazards model, we divided the patients with HCC receiving major hepatectomy into four risk groups. The Chang Gung-PohAi predictive scoring system showed significant differences in the 90-day mortality rate among the four risk groups (very low risk: 2.42%, low risk: 4.09%, intermittent risk: 17.1%, and high risk 43.6%). The Chang Gung-PohAi predictive scoring system is a promising tool for predicting 90-day perioperative mortality in patients with HCC undergoing major hepatectomy.

Abstract

Purpose: Hepatocellular carcinoma (HCC) is a major malignancy and the common cause of cancer-related deaths. Surgical intervention provides superior long-term survival outcomes; however, perioperative mortality is a major concern for clinicians while making treatment decisions, especially for major hepatectomy. Scoring systems for predicting 90-day mortality in patients with HCC undergoing major hepatectomy are not available. Methods: This study used the Taiwan Cancer Registry Database that is linked to the National Health Insurance Research Database to analyze data of 60,250 patients with HCC who underwent major hepatectomy and determine risk factors to establish a novel predictive scoring system. By using the stepwise selection of the multivariate Cox proportional hazards model, we divided the patients with HCC undergoing major hepatectomy into four risk groups. Results: The Chang Gung-PohAi predictive scoring system exhibited significant differences in the 90-day mortality rate among the four risk groups (very low risk: 2.42%, low risk: 4.09%, intermittent risk: 17.1%, and high risk: 43.6%). Conclusion: The Chang Gung-PohAi predictive scoring system is a promising tool for predicting 90-day perioperative mortality in patients with HCC undergoing major hepatectomy.

Predicting morbidity in liver resection surgery: external validation of the revised frailty index and development of a novel predictive model

BACKGROUND

Perioperative complications of liver resection surgery are common but individual patient-level prediction is difficult. Most risk models are unvalidated and may not be clinically useful. We aimed to validate a risk prediction model for complications of liver resection, the Revised Frailty Index (rFI), at a high volume centre. We also aimed to derive a predictive model for complications in our cohort.

METHODS

Records were reviewed for 300 patients undergoing liver resection. The rFI's discrimination of 90-day major complications was assessed by receiver operating curve analysis. Logistic regression analysis was then used to fit rFI covariates to our dataset. A further analysis produced a model with optimal discrimination of 90-day major complications.

RESULTS

The rFI was a poor discriminator of 90-day major complications (AUROC 0.562) among patients at our centre. The rFI optimised fit model demonstrated improved discrimination of 90-day major complications (AUROC 0.685). We developed a novel model with improved fit and similar discrimination (AUROC 0.710).

CONCLUSION

We were unable to validate the rFI as a predictor of complications. We developed a novel model with discrimination at least equal to other published risk models. However, there is an unmet need for well-validated, clinically useful risk tools in this area.

Preoperative prediction of pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRI

PURPOSE

To evaluate the value of gadobenate dimeglumine-enhanced MRI in predicting the pathologic grade of hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

Patients with pathologically proven HCC who underwent preoperative gadobenate dimeglumine-enhanced dynamic MRI were included. Two radiologists blinded to pathology results evaluated images in consensus. Lesions were evaluated quantitatively in terms of ratio of enhancement (RE), and qualitatively based on image features related to tumor aggressiveness. Logistic regression and ROC analyses were used to determine the value of these parameters to predict pathologic grade.

RESULTS

In total, 221 patients (194 males, 27 females, aged 52.9 ± 11.7 years) with 49 poorly differentiated HCCs and 172 well/moderately differentiated HCCs were evaluated. Features significantly related to poorer pathologic grade at univariate analysis included lower RE in the early arterial phase (EAP) (p = 0.001), nonsmooth margins (p = 0.001), absence of capsule (p < 0.001), arterial peritumoral hyperenhancement (p < 0.001), higher AFP (p = 0.004), multiple tumors (p = 0.026), and larger tumor size (p = 0.028). At multivariate analysis, lower RE (EAP) (OR = 0.144, p = 0.002), absence of capsule (OR = 0.281, p = 0.004), and arterial peritumoral hyperenhancement (OR = 4.117, p < 0.001) were independent predictive factors for poorer pathologic grade. ROC analysis showed lower RE (EAP) was predictive of poorer pathologic grade (AUC = 0.667). AUC increased to 0.797 when combined with absence of capsule and presence of peritumoral hyperenhancement.

CONCLUSIONS

Lower RE (EAP), absence of capsule, and arterial peritumoral hyperenhancement were predictive biomarkers for poorer pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRI.

KEY POINTS

• Gadobenate dimeglumine-enhanced dynamic MRI was a useful quantitative biomarker for preoperative prediction of pathologic grade in patients with HCC. • Lower RE in the early arterial phase, absence of capsule, and arterial peritumoral hyperenhancement were potential imaging indicators for preoperative prediction of poorer pathologic grade of HCC on gadobenate dimeglumine-enhanced MRI. • A lower RE in the early arterial phase was effective at predicting poorer pathologic grade of HCCs but prediction is improved when combined with absence of capsule and presence of peritumoral hyperenhancement.

Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

BACKGROUND

Preoperative prediction of early recurrence (ER) of hepatocellular carcinoma (HCC) plays a critical role in individualized risk stratification and further treatment guidance.

PURPOSE

To investigate the role of radiomics analysis based on multiparametric MRI (mpMRI) for predicting ER in HCC after partial hepatectomy.

STUDY TYPE

Retrospective.

POPULATION

In all, 113 HCC patients (ER, n = 58 vs. non-ER, n = 55), divided into training (n = 78) and validation (n = 35) cohorts.

FIELD STRENGTH/SEQUENCE

1.5T or 3.0T, gradient-recalled-echo in-phase T₁ -weighted imaging (I-T₁ WI) and opposed-phase T₁ WI (O-T₁ WI), fast spin-echo T₂ -weighted imaging (T₂ WI), spin-echo planar diffusion-weighted imaging (DWI), and gradient-recalled-echo contrast-enhanced MRI (CE-MRI).

ASSESSMENT

In all, 1146 radiomics features were extracted from each image sequence, and radiomics models based on each sequence and their combination were established via multivariate logistic regression analysis. The clinicopathologic-radiologic (CPR) model and the combined model integrating the radiomics score with the CPR risk factors were constructed. A nomogram based on the combined model was established.

STATISTICAL TESTS

Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of each model. The potential clinical usefulness was evaluated by decision curve analysis (DCA).

RESULTS

The radiomics model based on I-T₁ WI, O-T₁ WI, T₂ WI, and CE-MRI sequences presented the best performance among all radiomics models with an area under the ROC curve (AUC) of 0.771 (95% confidence interval (CI): 0.598-0.894) in the validation cohort. The combined nomogram (AUC: 0.873; 95% CI: 0.756-0.989) outperformed the radiomics model and the CPR model (AUC: 0.742; 95% CI: 0.577-0.907). DCA demonstrated that the combined nomogram was clinically useful.

DATA CONCLUSION

The mpMRI-based radiomics analysis has potential to predict ER of HCC patients after hepatectomy, which could enhance risk stratification and provide support for individualized treatment planning.

EVIDENCE LEVEL

4.

TECHNICAL EFFICACY

Stage 4.

Comparative Study of Amide Proton Transfer Imaging and Intravoxel Incoherent Motion Imaging for Predicting Histologic Grade of Hepatocellular Carcinoma

Background: Preoperative grading of hepatocellular carcinoma (HCC) is an important factor associated with prognosis after liver resection. The promising prediction of the differentiation of HCC remains a challenge. The purpose of our study was to investigate the value of amide proton transfer (APT) imaging in predicting the histological grade of HCC, compared with the intravoxel incoherent motion (IVIM) imaging.

Methods: From September 2018 to February 2020, 88 patients with HCC were enrolled and divided into four groups (G1, G2, G3, and G4) based on the histologic grades. Preoperative APT signal intensity (SI), apparent diffusion coefficient (ADC), true molecular diffusion coefficient (D), pseudo-diffusion coefficient (D^*), and perfusion fraction (f ) of HCC were independently measured by two radiologists. The averaged values of those parameters were compared using an analysis of variance. The Spearman rank analysis was used to compare the correlation between those imaging parameters and the histological grades. Receiver operating characteristic (ROC) curve analysis was used to explore the predictive performance.

Results: There were significant differences in APT SI, ADC, D, and f among the four grades of HCC (all P < 0.001). A moderate to good relationship was found between APT SI and the histologic grade of HCC (r = 0.679, P < 0.001). APT SI had an area under the ROC curve (AUC) of 0.890 (95% CI: 0.805–0.947) for differentiating low- from high-grade HCC, and the corresponding sensitivity and specificity were 85.71% and 82.05%, respectively. Comparison of ROC curves demonstrated that the AUC of APT SI was significantly higher than those of IVIM-derived parameter (Z = 2.603, P = 0.0092; Z = 2.099, P = 0.0358; Z = 4.023, P = 0.0001; Z = 2.435, P = 0.0149, compared with ADC, D, D^*, and f , respectively). Moreover, the combination of both techniques further improved the diagnostic performance, with an AUC of 0.929 (95% CI: 0.854–0.973).

Conclusion: APT imaging may be a potential noninvasive biomarker for the prediction of histologic grading of HCC and complements IVIM imaging for the more accurate and comprehensive characterization of HCC.

Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma

PURPOSE

To appraise the ability of the computed tomography (CT) radiomics signature for prediction of early recurrence (ER) in patients with hepatocellular carcinoma (HCC).

METHODS

A set of 325 HCC patients were enrolled in this retrospective study and the whole dataset was divided into 2 cohorts, including "training set" (225 patients) and "test set" (100 patients). All patients who underwent partial hepatectomy were followed up at least within 1 year. 656 Radiomics features were extracted from arterial-phase and portal venous-phase CT images. Lasso regression model was used for data dimension reduction, feature selection, and radiomics signature building. Univariate analysis was used to identify clinical and radiomics significant features. Models (radiomics signature, clinical model, and combined model) were evaluated by area under the curve (AUC) of receiver operating characteristic curve. The models' performances for prediction of ER were assessed.

RESULTS

The radiomics signature was built by 14 selected radiomics features and was significantly associated with ER (P < 0.001); the AUCs of the "train set" and the "test set" were 0.818 (95% CI 0.760-0.865) and 0.719 (95% CI 0.621-0.805), respectively. The tumor size, tumor capsule, and γ-glutamyl transferase (GGT) were significantly associated with ER in the clinical model (P < 0.05). The combined model showed incremental prognostic value, with the AUCs of "training dataset" and "test dataset" were 0.846 (95% CI 0.792-0.890) and 0.737 (95% CI 0.640-0.820), respectively. The radiomics signature, tumor size, and the level of GGT were independent predictors of ER (P < 0.05).

CONCLUSIONS

The CT radiomics signature can be conveniently used to predict the ER in patient with HCC. The combined model performed better for prediction of ER than radiomics signature or clinical model.

Diffusion-weighted imaging for identifying patients at high risk of tumor recurrence following liver transplantation

Background

Tumor recurrence is the major risk factor affecting post-transplant survival. In this retrospective study, we evaluate the prognostic values of magnetic resonance (MR) diffusion-weighted imaging (DWI) in liver transplantation for hepatocellular carcinoma (HCC).

Methods

From April 2014 to September 2016, 106 HCC patients receiving living donor liver transplantation (LDLT) were enrolled. Nine patients were excluded due to postoperative death within 3 months and incomplete imaging data. The association between tumor recurrence, explant pathologic findings, and DWI parameters was analyzed (tumor-to-liver diffusion weighted imaging ratio, DWI_T/L; apparent diffusion coefficients, ADC). The survival probability was calculated using the Kaplan–Meier method.

Results

Sixteen of 97 patients (16%) developed tumor recurrence during the follow-up period (median of 40.9 months; range 5.2–56.5). In those with no viable tumor (n = 65) on pretransplant imaging, recurrence occurred only in 5 (7.6%) patients. Low minimum ADC values (p = 0.001), unfavorable tumor histopathology (p <  0.001) and the presence of microvascular invasion (p <  0.001) were risk factors for tumor recurrence, while ADC_mean (p = 0.111) and DWI_T/L (p = 0.093) showed no significant difference between the groups. An ADC_min ≤ 0.88 × 10^− 3 mm²/s was an independent factor associated with worse three-year recurrence-free survival (94.4% vs. 23.8%) and overall survival rates (100% vs. 38.6%).

Conclusions

Quantitative measurement of ADC_min is a promising prognostic indicator for predicting tumor recurrence after liver transplantation.

Analysis of competing endogenous RNA network identifies a poorly differentiated cancer-specific RNA signature for hepatocellular carcinoma

Plenty of evidence has suggested that long noncoding RNAs (lncRNAs) play a vital role in competing endogenous RNA (ceRNA) networks. Poorly differentiated hepatocellular carcinoma (PDHCC) is a malignant phenotype. This paper aimed to explore the effect and the underlying regulatory mechanism of lncRNAs on PDHCC as a kind of ceRNA. Additionally, prognosis prediction was assessed. A total of 943 messenger RNAs (mRNAs), 86 miRNAs, and 468 lncRNAs that were differentially expressed between 137 PDHCCs and 235 well-differentiated HCCs were identified. Thereafter, a ceRNA network related to the dysregulated lncRNAs was established according to bioinformatic analysis and included 29 lncRNAs, 9 miRNAs, and 96 mRNAs. RNA-related overall survival (OS) curves were determined using the Kaplan-Meier method. The lncRNA ARHGEF7-AS2 was markedly correlated with OS in HCC (P = .041). Moreover, Cox regression analysis revealed that patients with low ARHGEF7-AS2 expression were associated with notably shorter survival time (P = .038). In addition, the area under the curve values of the lncRNA signature for 1-, 3-, and 5-year survival were 0.806, 0.741, and 0.701, respectively. Furthermore, a lncRNA nomogram was established, and the C-index of the internal validation was 0.717. In vitro experiments were performed to demonstrate that silencing ARHGEF7-AS2 expression significantly promoted HCC cell proliferation and migration. Taken together, our findings shed more light on the ceRNA network related to lncRNAs in PDHCC, and ARHGEF7-AS2 may be used as an independent biomarker to predict the prognosis of HCC.

Platelet-to-Lymphocyte Ratio and Large Tumor Size Predict Microvascular Invasion after Resection for Hepatocellular Carcinoma

Background:

Recurrence after curative resection of hepatocellular carcinoma (HCC) is associated with early death and poor prognosis. Microvascular invasion (mVI) is strongly associated with disease recurrence. Although many studies have examined the relationship between various serum inflammatory indices and post-treatment prognosis, little is known about preoperative predictors of microvascular invasion in HCC.

Methods:

Patients who underwent curative hepatic resection for HCC at our institute from January 2006 to December 2016 were retrospectively reviewed. The associations between mVI and various potential risk factors, including tumor size, hepatitis B and C virus infection, Child–Pugh scores, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio, were analyzed. Optimal cut-off values were determined using receiver operating characteristic curves.

Results:

A total of 330 HCC patients were enrolled in this study, of whom 74 (22.4%) had tumors with mVI. After univariate analysis, two parameters were significantly associated with mVI after hepatic resection: platelet-to-lymphocyte ratio ≥102 (odds ratio [OR] 2.385, p = 0.001) and tumor size ≥5 cm (OR 4.29, p < 0.001). Both variables remained significant risk factors for mVI after multivariate analysis: platelet-to-lymphocyte ratio ≥102 (OR 1.831, p = 0.034) and tumor size ≥5 cm (OR 3.791, p < 0.001).

Conclusions:

Large tumor size (≥5 cm) and high platelet-to-lymphocyte ratio (≥102) are independent predictive factors for mVI in HCC.

Hepatocellular Carcinoma: Retrospective Evaluation of the Correlation Between Gadobenate Dimeglumine-Enhanced Magnetic Resonance Imaging and Pathologic Grade

OBJECTIVE

The aim of this study was to evaluate the usefulness of gadobenate dimeglumine-enhanced magnetic resonance imaging in characterizing the grade of hepatocellular carcinoma (HCC) using the signal intensity (SI) of the erector spinae as internal reference.

MATERIALS AND METHODS

Clinical data of 40 patients (a total of 44 lesions) confirmed by pathology for HCC were retrospectively reviewed. Gadobenate dimeglumine-enhanced magnetic resonance imaging was performed in all patients, and SI of lesions (SIles), liver parenchyma around the lesions (SIhep), erector spinae (SImus) and standard deviation of SI of the surrounding noise (SDnoi) on nonenhanced T2WI, nonenhanced T1WI, and contrast-enhanced T1WI (in both arterial and hepatobiliary phase [AP and HBP]) were measured, respectively. Contrast-to-noise ratio (CNR) were separately defined as CNR1 ([SIles - SIhep]/SDnoi) and CNR2 ([SIles - SImus]/SDnoi). Statistical analyses were performed using one-way analysis of variance, least significant difference test, logistic regression analysis, Spearman rank correlation, and receiver operating characteristic curves analysis.

RESULTS

Forty-four HCCs, including 3 well-differentiated HCCs, 26 moderately differentiated HCCs, and 15 poorly differentiated (PD) HCCs, were confirmed. On logistic regression analysis, only CNR2 in the HBP was predictor of PD HCCs (P = 0.015, odds ratio = 1.040). The size of lesions, CNR1 in the AP, CNR2 in the AP, and CNR2 in the HBP, showed significant correlations with the degree of differentiation (correlation coefficients = -0.371, 0.435, 0.503, and 0.512, respectively; P = 0.013, 0.003, 0.001, and 0.000, respectively). Contrast-to-noise ratio 2 in the HBP with the cutoff of less than 4.56 could distinguish moderately differentiated HCCs from PD HCC with the sensitivity and specificity of 84.6% and 60.0%, respectively.

CONCLUSIONS

Relatively low arterial enhancement and low CNR2 value in the HBP are predictive for poor histological grade of HCCs.

Survival comparison of hepatocellular carcinoma patients treated with radioembolization versus nonoperative/interventional treatment

AIM

To compare the overall survival (OS) and liver cancer-specific survival of advanced-stage hepatocellular carcinoma (HCC) patients who received transarterial radioembolization (TARE) with those who received nonoperative/interventional treatment (NOT).

MATERIALS & METHODS

A total of 12,520 HCC patients from the Surveillance, Epidemiology and End Results database were categorized by treatment with either radioembolization or NOT. Kaplan-Meier and multivariate Cox regression were conducted.

RESULTS

The TARE group had both a significantly longer median overall survival than the NOT group (TARE = 9 months; NOT = 2 months; p < 0.0001) and a significantly higher probability of liver cancer-specific survival (hazard ratio = 0.474).

CONCLUSION

TARE appears to provide a significant survival advantage over the NOT population in advanced HCC patients.

Outcomes of Salvage Liver Transplantation and Re-resection/Radiofrequency Ablation for Intrahepatic Recurrent Hepatocellular Carcinoma: A New Surgical Strategy Based on Recurrence Pattern

BACKGROUND

The treatment of intrahepatic recurrent hepatocellular carcinoma (HCC) has been poorly investigated, and the optimal treatment strategy remains unclear.

AIMS

The aim of this study was to compare outcomes between salvage liver transplantation (SLT) and re-resection (RR)/radiofrequency ablation (RFA) for intrahepatic recurrent HCC according to recurrence pattern.

METHODS

Based on postoperative histopathological examination, 122 patients with intrahepatic recurrent HCC were divided into an intrahepatic metastasis (IM, n = 75) group and a multicentric occurrence (MO, n = 47) group. The demographic, clinical, and primary and recurrent tumor characteristics of the IM group and the MO group were collected and compared. Overall survival (OS) and disease-free survival (DFS) were analyzed, and subgroup analysis according to retreatment type (SLT vs. RR/RFA) was conducted. Twenty-nine clinicopathological variables potentially related to prognostic factors affecting survival were analyzed using a Cox proportional hazard model.

RESULTS

The patients that received SLT treatment exhibited favorable DFS compared to patients that received RR/RFA (P = 0.002). OS (P < 0.001) and DFS (P = 0.008) rates were significantly increased in the MO group compared with in the IM group. Subgroup analysis revealed that DFS was significantly improved for patients in the MO group treated with SLT compared to patients treated with RR/RFA (P = 0.017). Recurrence pattern was an independent prognostic factor for both OS [hazard ratio (HR) = 0.093, 95% confidence interval (CI): 0.026-0.337, P < 0.001] and DFS (HR = 0.318, 95% CI: 0.125-0.810, P = 0.016; HR = 3.334, 95% CI: 1.546-7.18, P = 0.002).

CONCLUSIONS

For patients with intrahepatic recurrent HCC, an MO recurrence pattern is associated with better long-term outcomes than the IM pattern. SLT is the preferred option for intrahepatic recurrent HCC, especially for MO cases.

Liver Resection for Hepatocellular Carcinoma: a Multivariate Analysis of Factors Associated with Improved Prognosis. the Role of Clinical, Pathological and Surgical Related Factors

Aims and background

Hepatocellular carcinoma (Hcc) is the third most common cause of cancer death. The aim of this study is to examine the factors associated with improved prognosis in Hcc after liver resection.

Patients and methods

From September 1989 to March 2005, 134 consecutive patients had liver resection for Hcc on cirrhosis at our department. We performed 54 major liver resections and 80 limited resections. All patients enrolled in the study were followed-up three times during the first year after resection and twice the next years.

Results

In-hospital mortality rate was 7.4%, about 50% of these cases were Child-Pugh B patients. Morbidity rate was 47.7%, caused by the rising of ascites, temporary liver impairment function, biliary fistula, hepatic abscess, hemoperitoneum and pleural effusion. Overall survival resulted to be influenced by etiology (P = 0.03), underlying liver disease, in particular Child A vs BC (P = 0.04), Endmondson-Steiner grading (P = 0.01), the absence of a capsule (P = 0.004), the presence of more than one lesion (P = 0.02), lesion's size over 5 cm (P = 0.04), Pringle maneuver length over than 20 minutes (P = 0.03), an amount of resected liver volume lesser than 50% of total liver volume (P = 0. 03), and the relapse of Hcc (P = 0.01).

Conclusions

The treatment of hepatocellular carcinoma should be both the most radical to obtain the best outcome and to reduce the recurrence's rate, and the most suitable according to the patient's condition, lesion's characteristics and underlying liver disease: because of the large number of factors affecting the outcome of Hcc, unfortunately, we are still far from an agreement upon a group of criteria useful to select the best candidates for liver resection.

The effect of antiviral therapy on patients with hepatitis B virus-related hepatocellular carcinoma after curative resection: a systematic review and meta-analysis

BACKGROUND AND AIM

Studies suggest that antiviral therapy performed after curative resection improves the postoperative prognosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), but the evidence has been contradictory. The aim of this meta-analysis was to assess the effect of antiviral therapy with nucleoside analogs (NAs) after curative resection on the long-term postoperative survival of patients with HBV-related HCC.

MATERIALS AND METHODS

MEDLINE, PubMed, Embase, and Cochrane Library were systematically searched up to August 2017 with no limits. Outcome measures were the primary parameter of overall survival (OS) after radical resection of HBV-related HCC and the secondary parameter of postoperative recurrence-free survival (RFS).

RESULTS

A total of 9,009 patients (2,546 of whom received antiviral therapy and 6,463 received no treatment) were included. The pooled analysis revealed that antiviral therapy was associated with significantly improved OS (hazard ratio [HR]: 0.58; 95% confidence interval [CI]: 0.51-0.67; P<0.00001) and RFS (HR: 0.68; 95% CI: 0.63-0.74; P<0.00001). Moderate heterogeneity among studies for both OS and RFS was observed, which disappeared or decreased after pooling studies using one type of NA as antiviral drug. In the subgroup analysis, anti-viral therapy significantly prolonged both OS (HR: 0.69; 95% CI: 0.52-0.92; P=0.01) and RFS (HR: 0.58; 95% CI: 0.49-0.70; P<0.00001) in patients with high baseline HBV DNA level (≥20,000 IU/mL) with no heterogeneity, but not in patients with low baseline HBV DNA level (<20,000 IU/mL).

CONCLUSION

Antiviral therapy with NAs confers significant survival benefits in patients with HBV-related HCC after curative resection, especially in patients with high baseline HBV DNA level (≥20,000 IU/mL).

Deep sequencing and comprehensive expression analysis identifies several molecules potentially related to human poorly differentiated hepatocellular carcinoma

Hepatocellular carcinoma (HCC) that is graded histologically as poorly differentiated has a high recurrence, metastasis and poor prognosis. We sought to determine the regulatory mechanisms of HCC tumorigenesis and to identify molecules closely related to poorly differentiated HCC. High‐throughput sequencing was used to construct microRNA (miRNA) and mRNA expression profiles for poorly differentiated HCC tissues and adjacent tissues. Network analysis was carried out to study miRNA–target interactions. Integrating the miRNA and mRNA data of HCC with four tumor grades from The Cancer Genome Atlas (TCGA) portal enabled the identification of potential closely related molecules for early diagnosis of poorly differentiated HCC. Electronic validation of RNA‐seq data and survival analysis was also performed. In total, 1051 differentially expressed genes and 165 differentially expressed miRNAs were identified between HCC tumor and paired non‐tumorous tissue. Based on 3718 miRNA–target interactions, we established an miRNA–target interaction network; the target genes were mainly involved in bile acid biosynthesis and bile secretion. Integrating expression data of HCC from TCGA indicated that two proteins, TM4SF1 and ANXA2, are convincing indicators for initial diagnosis of poorly differentiated HCC. According to the survival analysis, three proteins, ANXA2, C8orf33 and IGF2BP3, were identified as being associated with the survival time of HCC patients. Moreover, we suggest that hsa‐miR‐1180 may be an effective biomarker for poorly differentiated HCC. Three molecules, TM4SF1, ANXA2 and C8orf33, are potential biomarkers for distinguishing poorly differentiated from well‐differentiated HCC.

Differential significance of early surgical complications for acute and long-term recurrence-free survival following surgical resection of hepatocellular carcinoma: do comorbidities play a role?

BACKGROUND

Postoperative complications of Clavien-Dindo grade 3 or more are of prognostic significance in patients who undergo liver resection for hepatocellular carcinoma (HCC). However, perioperative mortality and patient comorbidities represent relevant factors that interfere with postoperative long-term survival. To clarify this, a retrospective single-center study was carried out.

PATIENTS AND METHODS

Patient data were prospectively collected in a continuously updated liver resection database. Overall, 184 consecutive patients who underwent liver resection for HCC with a curative intent between March 2003 and December 2013 were selected for the study. The patients were assigned to two groups according to the presence or absence of postoperative complications. Pre-existing comorbidities, perioperative mortality, surgical outcome, and long-term survival data were analyzed.

RESULTS

Postoperative complications requiring revision surgery were identified in 17.4% of the patients. The in-house mortality rate was 4.8%. Compared with patients without complications, patients with complications were older and had significantly more pre-existing comorbidities, more advanced tumors, more intrahepatic metastasis, longer operation times, greater blood loss, and more extensive resections. The overall 5-year survival rates were 40.1 and 52.5% in patients with or without postoperative complications, respectively. The corresponding 5-year recurrence-free survival rates were 46.3 and 46.7% (perioperative mortality excluded). Multivariate analysis showed that elevation of the Charlson Comorbidity Index was associated independently with decreased overall and recurrence-free survival.

CONCLUSION

In patients with HCC, posthepatectomy complications are confirmed to have predictive value. However, closer analysis and exclusion of perioperative mortality effects show an independent impact of pre-existing comorbidities on long-term overall und recurrence-free survival.

Patients with early recurrence of hepatocellular carcinoma have poor prognosis

BACKGROUND

Early recurrence (ER) after hepatic resection (HR) is a poor prognostic factor for patients with hepatocellular carcinoma (HCC). This study aimed to identify the clinicopathological features, outcomes, and risk factors for ER after HR for small HCC in order to clarify the reasons why ER is a worse recurrence pattern.

METHODS

We retrospectively examined 130 patients who underwent HR for small HCC (≤30 mm). Recurrence was classified into ER (<2 years) and late recurrence (LR) (≥2 years). The clinicopathological features, outcomes, and risk factors for ER were analyzed by multivariate analysis.

RESULTS

ER was observed in 39 patients (30.0%). The survival rate of the ER group was significantly lower than that of the LR group (P<0.005), and ER was an independent prognostic factor for poor survival (P=0.0001). The ER group had a significantly higher frequency (P=0.0039) and shorter interval (P=0.027) of development to carcinoma beyond the Milan criteria (DBMC) compared with the LR group, and ER was an independent risk factor for DBMC (P<0.0001). Multi-nodularity, non-simple nodular type, and microvascular invasion were independent predictors for ER (P=0.012, 0.010, and 0.019, respectively).

CONCLUSIONS

ER was a highly malignant recurrence pattern associated with DBMC and subsequent poor survival after HR for small HCC. Multi-nodularity, non-simple nodular type, and microvascular invasion predict ER, and taking these factors into consideration may be useful for the decision of the treatment strategy for small HCC after HR.

Diffusion-weighted imaging (DWI) of hepatocellular carcinomas: a retrospective analysis of the correlation between qualitative and quantitative DWI and tumour grade

AIM

To evaluate the application of qualitative and quantitative diffusion-weighted imaging (DWI) in predicting the histological grade of hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

Two hundred and fifty-four patients with pathologically confirmed HCC who underwent hepatic DWI on a 1.5-T platform (b = 0, 600 s/mm²) were evaluated retrospectively. HCCs were divided into well-, moderately, and poorly differentiated groups. The relationships between naked-eye signal intensity (SI), SI values, apparent diffusion coefficient (ADC) values on DWI, and the histopathological differentiation of HCC were analysed. Receiver operating characteristic (ROC) curves were drawn to determine the optimal operating points (OOPs) of the SI and ADC values to predict the tumour grade.

RESULTS

A weak negative correlation (r=-0.350, p<0.05) was obtained between naked-eye SI and histological grade. There was a significant difference in mean SI values between well- (68.32±31.71) and moderately (102.39±45.55)/poorly (114.55±32.15) differentiated HCC but not between moderately and poorly differentiated HCC. The OOP of the SI value by ROC curve analysis was 66.5 to predict well-differentiated HCC. The mean ADC values of well-, moderately, and poorly differentiated HCC were 1.67±0.13×10^-3, 1.31±0.16×10^-3, and 1.08±0.11×10^-3 mm²/s, respectively, with significant differences between any two combinations of groups. The OOPs of ADC to diagnose well- and poorly differentiated HCC were 1.5×10^-3 and 1.24×10^-3 mm²/s, respectively.

CONCLUSION

Qualitative and quantitative SI and ADC values at DWI may be useful to estimate the histological grade of HCC preoperatively and non-invasively.

Adverse impact of intermittent portal clamping on long-term postoperative outcomes in hepatocellular carcinoma

Introduction To evaluate the impact of intermittent portal clamping (IPC) on long-term postoperative outcomes in patients with hepatocellular carcinoma (HCC). Methods Clinical records of 355 patients underwent curative liver resection for HCC in January 2007 to December 2010 were retrospectively reviewed. According to how portal clamping was performed, patients were grouped as: IPC, n=113; other portal clamping (OPC), n=190; and no portal clamping (NPC), n=52. Results Median recurrence-free survival (RFS) was statistically significantly shorter in the IPC (39.4 months) than OPC (47.3 months, p=0.010) and NPC groups (51.4 months, p=0.008). Median overall survival (OS) was also significantly shorter with IPC (46.3 months), versus 52.9 months with OPC (p=0.022) and 56.2 months with NPC (p=0.015). Kaplan-Meier survival analysis revealed that 5-year cumulative RFS was much lower in the IPC (42.5%) than OPC (50.9%, p=0.014) and NPC groups (49.6%, p=0.013). Five-year cumulative OS was also much lower in the IPC (44.9%) than OPC (58.0%, p=0.020) and NPC groups (57.7%, p=0.025). On univariate analysis, tumour grade, size and number, TNM stage, blood transfusion, vascular invasion and IPC were significantly inversely correlated with RFS and OS. On multivariate analysis, tumour size and number, blood transfusion, vascular invasion and IPC remained significant. Conclusions Our study suggests that IPC is an independent risk factor for poor long-term postoperative outcomes in patients with HCC.

When to consider liver transplantation in hepatocellular carcinoma patients?

Orthotopic liver transplantation (LT) has been regarded as the best cure among the three curative treatment modalities. However, when to consider LT in hepatocellular carcinoma (HCC) patients remains a complicated clinical question. In this article, we will look into the recent updates in the context of LT for HCC, including the timing of orthotopic LT (primary or salvage LT), patient selection criteria, newer prognostic markers and scoring systems, down-staging and bridging therapy, salvage LT and treatment option of post-LT HCC recurrence. Evolution of immunosuppressive therapy and future development of the LT for HCC will also be discussed.

Role of Diffusion Weighted Imaging (DWI) for Hepatocellular Carcinoma (HCC) Detection and its Grading on 3T MRI: A Prospective Study

BACKGROUND

Limited studies have evaluated the role of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) for histologically grading the hepatocellular carcinoma (HCC).

OBJECTIVE

To compare the efficacy of DWI with dynamic contrast enhanced magnetic resonance (DCEMR) in detection of HCC in cirrhosis, and to evaluate whether DWI can be used instead of DCEMR.

METHODS

20 patients of either sex with cirrhosis and suspected of having HCC on screening USG were included in this prospective study approved by the Institutional Ethics Committee. All patients underwent DCEMR of the abdomen on 3T scanner and fine needle aspiration of the lesions. MR protocol included T1WI, T2WI, DWI, and dynamic CEMR. The results of diffusion weighted imaging were compared with DCEMR to find the efficacy of DWI vis-à-vis CEMR.

RESULTS

DWI had a sensitivity and specificity of 100%, for diagnosis of lesions in cases having single lesion on CEMR, and sensitivity of 75% and specificity of 100% for diagnosis of lesions in cases having multiple lesions. There was a decreasing trend of ADC values with increasing grade of the tumor; however, the decreasing trend was not statistically significant. A cut-off ADC value of 0.8705 resulted in a sensitivity of 75% and specificity of 50% for differentiating between well-differentiated and other grades of HCC.

CONCLUSION

DWI can be used as an alternative for the detection and characterization of HCC, especially in patients with impaired renal function or contrast allergies precluding the use of contrast. In addition, DWI with ADC measurement may be helpful for non-invasive and preoperative prediction of the degree of differentiation of HCC.

Effect of saracatinib on pulmonary metastases from hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Src is involved in multiple processes of cancer metastasis; however, its significance in HCC is not well defined. In the present study, overexpression of Src phosphorylation (Y416) was observed in the highly metastatic MHCC97H cell line; additionally, through inhibition of Src kinase activation, HCC cell proliferation, migration, invasion and colony formation were significantly reduced in vitro. Tumour growth was not affected in the orthotopic xenograft HCC model, but the metastasic potential was inhibited as revealed by reduced lung metastasic foci after administration of saracatinib. Phosphorylation level of Src pathway signalling molecules, such as Src, FAK and Stat3, were also reduced in vitro and in vivo, as a result of the anti-metastasic effects caused by saracatinib treatment. In conclusion, we demonstrated the pro-metastasic role of Src in HCC, and further experiments suggest the use of the Src inhibitor in combination with cytotoxic agents and other anticancer treatments to improve HCC prognosis.

Liver-infiltrating CD8(+) lymphocytes as prognostic factor for tumour recurrence in hepatitis C virus-related hepatocellular carcinoma

BACKGROUND

Chronic liver inflammation and immune/inflammatory response promote hepatocellular carcinoma. The aim of this study was to characterize the immune status of HCV-related cirrhosis in patients with hepatocellular carcinoma (HCV-HCC) as compared to HCV patients without hepatocellular carcinoma.

METHOD

Immune markers (CD3, CD4, CD8, CD20, CD56, TCRγδ, FoxP3) and gene expression profiles (CD8α, CD8β, FoxP3, IL-6, IFN-γ, perforin, RANTES) were analysed in a test cohort by immunohistochemistry and quantitative RT-PCR analysis on serial non-tumorous and tumorous tissues.

RESULTS

Immune micro-environment was more inflammatory in HCV-HCC than HCV cirrhotic livers. The number of CD3(+) , CD4(+) , CD8(+) and CD20(+) liver-infiltrating lymphocytes was significantly higher, whereas the number of CD56(+) cells was significantly lower in HCV-HCC compared to HCV cirrhotic parenchyma. These differences were restricted to fibrous septa for CD4(+) and CD20(+) cells and to nodular parenchyma for CD8(+) cells. Gene expressions of CD8α, FoxP3 and RANTES were also significantly higher in HCV-HCC than in HCV cirrhosis. Interestingly, in a large cohort of 63 HCV-HCC patients. The number of CD8(+) cells ≥100/field was associated with significant higher tumour recurrence (P = 0.003) and lower overall survival (P = 0.05) at 5 years.

CONCLUSION

High densities of liver-infiltrating lymphocytes in HCV-HCC cirrhotic parenchyma prevail inflammatory conditions and could contribute to tumorigenesis and tumour recurrence. These results could contribute towards better clinical evaluation of patients susceptible for HCC recurrence after curative surgery.

A prognosis model for patients with hepatocellular carcinoma and portal vein tumor thrombus following hepatic resection

The present study aimed to identify the risk factors influencing the survival of patients with hepatocellular carcinoma (HCC) affected by portal vein tumor thrombus (PVTT), following hepatic resection, and to establish a prognostic model. Between March 2001 and May 2008, 234 cases of HCC with PVTT that underwent hepatic resection were randomly divided into experimental or validation groups. The association between the clinicopathological factors and disease-free survival (DFS) and overall survival (OS) was analyzed, and the significant factors involved were used to establish a prognostic model, which was then validated. Tumor rupture, number of tumors and macroscopic vascular invasion were observed to be independent risk factors of DFS and OS. In the prognostic model, the DFS and OS of low-, medium- and high-risk patients in the experimental group were observed to be significantly different, compared to those in the validation group. In conclusion, the present study established a prognostic model for patients with HCC affected by PVTT following hepatectomy, and demonstrated that the model may be used to guide the treatment of these patients and predict their prognosis.

Assessment of the reporting of quality and outcome measures in hepatic resections: a call for 90-day reporting in all hepatectomy series

BACKGROUND

The aim of this paper is to assess the current state of quality and outcomes measures being reported for hepatic resections in the recent literature.

METHODS

Medline and PubMed databases were searched for English language articles published between 1 January 2002 and 30 April 2013. Two examiners reviewed each article and relevant citations for appropriateness of inclusion, which excluded papers of liver donor hepatic resections, repeat hepatectomies or meta-analyses. Data were extracted and summarized by two examiners for analysis.

RESULTS

Fifty-five studies were identified with suitable reporting to assess peri-operative mortality in hepatic resections. In only 35% (19/55) of the studies was the follow-up time explicitly stated, and in 47% (26/55) of studies peri-operative mortality was limited to in-hospital or 30 days. The time period in which complications were captured was not explicitly stated in 19 out of 28 studies. The remaining studies only captured complications within 30 days of the index operation (8/28). There was a paucity of quality literature addressing truly patient-centred outcomes.

CONCLUSION

Quality outcomes after a hepatic resection are inconsistently reported in the literature. Quality outcome studies for a hepatectomy should report mortality and morbidity at a minimum of 90 days after surgery.

Failure recovery of circulating NKG2D+CD56dimNK cells in HBV-associated hepatocellular carcinoma after hepatectomy predicts early recurrence

Dysfunction of natural killer (NK) cells has been implicated in the failure of antitumor immune responses in hepatocellular carcinoma (HCC) patients. However, the changes of NK profile in peripheral blood after surgery and tumor tissues of HCC patients, as well as the underlying reason and the significance are vague. Here, we observed that the frequencies of circulating NKG2D⁺CD56^dimNK cells decreased significantly in HBV-related HCC and were negatively correlated with the levels of serum TGF-β and soluble MICA (sMICA). In vitro experiments confirmed that the TGF-β and sMICA in tumor tissue homogenates, as well as sMICA in HCC cells culture supernatants could reduce the frequency of NKG2D⁺CD56^dimNK cells. In addition, in HCC patients the lower frequency of circulating NKG2D⁺CD56^dimNK cells was associated with larger tumor size and/or higher serum GGT. Noticeably, the frequency of NKG2D⁺CD56^dimNK cells at one month after surgery usually failed to restore in early recurrent patients, and that frequency was negatively associated with early recurrence and shorter overall survival. These results suggest that declined frequency of NKG2D⁺CD56^dimNK cells in HCC was associated with higher TGF-β and sMICA production, and low frequency of circulating NKG2D⁺CD56^dimNK cells at one month after surgery may predict poor prognosis of HBV-related HCC patients accepting hepatectomy.

Taurine Attenuates Hepatic Inflammation in Chronic Alcohol-Fed Rats Through Inhibition of TLR4/MyD88 Signaling

Accumulating evidence indicates that overconsumption of ethanol contributes in many ways to the pathogenesis of hepatic injury. Although studies indicate that taurine decreases lipogenesis, oxidative stress, and inflammatory cytokines, the protective effect of taurine against alcohol-induced liver injury is still unclear. To clarify the precise signaling involved in the beneficial effect of taurine on alcohol-induced liver injury, rats were randomly divided into four treatment groups: (1) control (Ctl), (2) alcohol (Alc), (3) Alc+taurine (Tau), and (4) Alc+silymarin (Sil). The Tau and Sil groups had lower lymphocyte infiltration and significantly lower TLR-4/MyD88 and IκB/NFκB compared to the Alc group. The inducible nitric oxide synthase (iNOS), C-reactive protein (CRP), tumor necrosis factors (TNF)-α, interleukin (IL)-6, and IL-1β were also significantly lower in the Tau and Sil groups than in the Alc group. The experimental results indicated that hepatoprotection against alcohol-induced inflammation may be mediated by decreased TLR-4/MyD88 signaling.

Risk factors and management for early and late intrahepatic recurrence of solitary hepatocellular carcinoma after curative resection

BACKGROUND

Intrahepatic recurrence is a significant problem for patients who have undergone a hepatic resection for hepatocellular carcinoma (HCC). The objective of the present study was to identify risk factors and evaluate the management of early and late recurrence of solitary HCC after curative resection.

METHODS

Included in this study were 816 patients with solitary HCC who underwent a curative partial hepatectomy. Intrahepatic recurrence in these patients was followed up retrospectively. Prognosis and therapy for the recurrence were investigated and analysed.

RESULTS

Early and late intrahepatic recurrence occurred in 423 patients and 199 patients, respectively. Multivariate analysis showed that a tumour diameter >5 cm, the absence of a tumour capsule and the presence of microvascular invasion were correlated with early recurrence, whereas cirrhosis and alpha-fetal protein >400 μg/l were independent risk factors contributing to late recurrence. The 5-year survival of HCC patients with early recurrence was significantly lower than that of patients with late recurrence. Further curative treatment for intrahepatic recurrence offered a 5-year overall survival of 56.0%, which was better than alternative management.

CONCLUSION

Early and late recurrences of solitary HCC after curative resection are associated with different predictive factors. The time to recurrence and further curative treatment after recurrence were the best predictors of survival post recurrence.

Improved method increases sensitivity for circulating hepatocellular carcinoma cells

AIM: To improve an asialoglycoprotein receptor (ASGPR)-based enrichment method for detection of circulating tumor cells (CTCs) of hepatocellular carcinoma (HCC).

METHODS: Peripheral blood samples were collected from healthy subjects, patients with HCC or various other cancers, and patients with hepatic lesions or hepatitis. CTCs were enriched from whole blood by extracting CD45-expressing leukocytes with monoclonal antibody coated-beads following density gradient centrifugation. The remaining cells were cytocentrifuged on polylysine-coated slides. Isolated cells were treated by triple immunofluorescence staining with CD45 antibody and a combination of antibodies against ASGPR and carbamoyl phosphate synthetase 1 (CPS1), used as liver-specific markers, and costained with DAPI. The cell slide was imaged and stained tumor cells that met preset criteria were counted. Recovery, sensitivity and specificity of the detection methods were determined and compared by spiking experiments with various types of cultured human tumor cell lines. Expression of ASGPR and CPS1 in cultured tumor cells and tumor tissue specimens was analyzed by flow cytometry and triple immunofluorescence staining, respectively.

RESULTS: CD45 depletion of leukocytes resulted in a significantly greater recovery of multiple amounts of spiked HCC cells than the ASGPR⁺ selection (Ps < 0.05). The expression rates of either ASGPR or CPS1 were different in various liver cancer cell lines, ranging between 18% and 99% for ASGPR and between 9% and 98% for CPS1. In both human HCC tissues and liver cancer cell lines, there were a few HCC cells that did not stain positive for ASGPR or CPS1. The mixture of monoclonal antibodies against ASGPR and CPS1 identified more HCC cells than either antibody alone. However, these antibodies did not detect any tumor cells in blood samples spiked with the human breast cancer cell line MCF-7 and the human renal cancer cell line A498. ASGPR⁺ or/and CPS1⁺ CTCs were detected in 29/32 (91%) patients with HCC, but not in patients with any other kind of cancer or any of the other test subjects. Furthermore, the improved method detected a higher CTC count in all patients examined than did the previous method (P = 0.001), and consistently achieved 12%-21% higher sensitivity of CTC detection in all seven HCC patients with more than 40 CTCs.

CONCLUSION: Negative depletion enrichment combined with identification using a mixture of antibodies against ASGPR and CPS1 improves sensitivity and specificity for detecting circulating HCC cells.

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

PURPOSE

To identify magnetic resonance (MR) imaging features that enable prediction of early recurrence (<2 years) after curative resection of hepatocellular carcinoma (HCC) and to derive a preoperative prediction model.

MATERIALS AND METHODS

This retrospective study was approved by the institutional review board. The requirement to obtain written informed consent was waived. A total of 268 patients who underwent hepatic resection for a single HCC from January 2008 to August 2011 were divided into two cohorts: a training cohort, which was used to derive a prediction model (n = 187), and a validation cohort (n = 81). All MR images from the training cohort were reviewed by two radiologists. A prediction model was constructed by using MR imaging features that were independently associated with early recurrence with use of multiple logistic regression analysis. The performance of the prediction model in the validation cohort was evaluated with respect to discrimination (ie, whether the relative ranking of individual predictions of subsequent early recurrence is in the correct order).

RESULTS

In the training cohort, four MR imaging features were independently associated with early recurrence: rim enhancement (odds ratio [OR] = 3.83; 95% confidence interval [CI]: 1.39, 10.52), peritumoral parenchymal enhancement in the arterial phase (OR = 2.64; 95% CI: 1.27, 5.46), satellite nodule (OR = 4.07; 95% CI: 1.09, 15.21), and tumor size (OR = 1.66; 95% CI: 1.31, 2.09). A prediction model derived from these variables showed an area under the receiver operating characteristic curve (AUC) of 0.788 in the prediction of the risk of early recurrence in the training cohort. When applied to the validation cohort, this model showed good discrimination (AUC, 0.783).

CONCLUSION

The prediction model derived from rim enhancement, peritumoral parenchymal enhancement, satellite nodule, and tumor size can be used preoperatively to estimate the risk of early recurrence after resection of a single HCC.

Expression of PEG10 Is Associated with Poor Survival and Tumor Recurrence in Hepatocellular Carcinoma

Purpose

Paternally expressed gene 10 (PEG10), first identified as an imprinted gene, is paternally expressed and maternally silenced. In hepatocellular carcinoma (HCC), PEG10 has been identified as a potential target gene located within the amplified 7q21 locus. The purpose of this study was to investigate the expression of PEG10 protein in HCC and evaluate its prognostic significance.

Materials and Methods

PEG10 protein expression was examined by immunohistochemistry in tumor tissues from 218 HCC patients undergoing curative resection. Furthermore, the relationships between PEG10 expression and clinicopathologic features or postoperative survival of HCC patients were evaluated. The median follow-up period was 119.8 months for survivors.

Results

PEG10 expression was observed in 148 of the 218 HCCs (67.9%) and was significantly correlated with younger age, female, higher Edmondson grade, microvascular invasion, intrahepatic metastasis, higher American Joint Committee on Cancer T-stage, and higher α-fetoprotein level. PEG10 expression was an independent predictor of early recurrence (p=0.013), and it showed an unfavorable influence on recurrence-free survival (p < 0.001). A subgroup analysis showed that among patients with α-fetoprotein ≤ 20 ng/mL (80 patients), the PEG10-positive group also showed an unfavorable influence on recurrence-free survival (p=0.002). Moreover, a multivariate survival analysis identified PEG10 as an independent predictor of shorter recurrence-free survival (p=0.005). PEG10 expression showed an unfavorable influence on overall survival (p=0.007) but was not an independent predictor of shorter overall survival (p=0.128).

Conclusion

PEG10 protein could be a potential biomarker predicting early recurrence and recurrence-free survival in HCC patients after curative resection, even in those with normal serum α-fetoprotein levels.

Evaluation of apparent diffusion coefficient associated with pathological grade of lung carcinoma, before therapy

PURPOSE

To investigate the feasibility and utility of apparent diffusion coefficient (ADC) in predicting the tumor cellular density and grades of lung cancers.

MATERIALS AND METHODS

Forty-one consecutive patients (26 men and 15 women; mean age, 59.9 years) with histologically proven lung cancers were enrolled in the study and underwent MR examination. ADC values and tumor cellular density of different histological grades were analyzed. The relationship of the ADC with tumor cellular density and grades were also evaluated.

RESULTS

The ADC values of lung cancer in grade III was significantly lower than those in grade I and grade II (P = 0.008 and 0.011, respectively). The cellular density in grade III was significantly higher than other two grades (P = 0.029 and 0.022, respectively). ADC value of lung cancer correlated negatively with grades and tumor cellular density (P = 0.001 and P = 0.001, respectively). According to the ROC analysis, the cutoff value of ADC was 1.175 × 10(-3) mm(2) /s with the optimal sensitivity (88.2%) and specificity (62.5%), respectively.

CONCLUSION

ADC measurement of lung cancer was a helpful method to evaluate the pathological grade and tumor cellular density. The quantitative analysis of ADC in conjunction with conventional MR findings could provide more valuable information for the assessment of pulmonary tumor. J

Genomic predictors for recurrence patterns of hepatocellular carcinoma: model derivation and validation

BACKGROUND

Typically observed at 2 y after surgical resection, late recurrence is a major challenge in the management of hepatocellular carcinoma (HCC). We aimed to develop a genomic predictor that can identify patients at high risk for late recurrence and assess its clinical implications.

METHODS AND FINDINGS

Systematic analysis of gene expression data from human liver undergoing hepatic injury and regeneration revealed a 233-gene signature that was significantly associated with late recurrence of HCC. Using this signature, we developed a prognostic predictor that can identify patients at high risk of late recurrence, and tested and validated the robustness of the predictor in patients (n = 396) who underwent surgery between 1990 and 2011 at four centers (210 recurrences during a median of 3.7 y of follow-up). In multivariate analysis, this signature was the strongest risk factor for late recurrence (hazard ratio, 2.2; 95% confidence interval, 1.3-3.7; p = 0.002). In contrast, our previously developed tumor-derived 65-gene risk score was significantly associated with early recurrence (p = 0.005) but not with late recurrence (p = 0.7). In multivariate analysis, the 65-gene risk score was the strongest risk factor for very early recurrence (<1 y after surgical resection) (hazard ratio, 1.7; 95% confidence interval, 1.1-2.6; p = 0.01). The potential significance of STAT3 activation in late recurrence was predicted by gene network analysis and validated later. We also developed and validated 4- and 20-gene predictors from the full 233-gene predictor. The main limitation of the study is that most of the patients in our study were hepatitis B virus-positive. Further investigations are needed to test our prediction models in patients with different etiologies of HCC, such as hepatitis C virus.

CONCLUSIONS

Two independently developed predictors reflected well the differences between early and late recurrence of HCC at the molecular level and provided new biomarkers for risk stratification. Please see later in the article for the Editors' Summary.

Altered distribution and expression pattern of E-cadherin in hepatocellular carcinomas: correlations with prognosis and clinical features

OBJECTIVE

E-cadherin has been identified as a tumor suppressor in many types of carcinoma. However, some studies recently suggested that the role and expression of E-cadherin might be more complex and diverse. In the present study, we evaluated the prognostic value of E-cadherin expression with reference to levels in membranes and cytoplasm, and the membrane/cytoplasm ratio, in hepatocellular carcinomas (HCCs) after curative hepatectomy.

METHODS

The expression of E-cadherin was assessed by immunohistochemistry in HCC tissue microarrays from 125 patients, and its prognostic values and other clinicopathlogical data were retrospectively analyzed. Patients were followed for a median period of 43.7 months (range 1 to 126 months).

RESULTS

Univariate analysis demonstrated that a high membrane/cytoplasm (M/C) ratio of E-cadherin expression was associated with poor overall survival (OS) (P =0.001) and shorter time to recurrence (TTR) (P =0.038), as well as tumor size, intrahepatic metastasis, and TNM stage. In contrast, neither membrane nor cytoplasmic expression of E-cadherin was related with OS and TTR. Furthermore, multivariate analysis confirmed the M/C ratio to be an independent predictor of OS (P =0.031). ?2 tests additionally showed that the M/C ratio of E-cadherin expression was related with early stage recurrence (P =0.012), rather than later stage recurrence.

CONCLUSION

The M/C ratio of E-cadherin expression is a strong predictor of postoperative survival and is associated with early stage recurrence in patients with HCC.

Hepatobiliary MR contrast agents in hypovascular hepatocellular carcinoma

Hepatocellular carcinoma (HCC) develops via multistep hepatocarcinogenesis, during which hypovascular/early HCC precedes the typical hypervascular HCC. The hypovascular HCC lacks the typical hallmark imaging features of HCC, such as late arterial phase enhancement and portal venous washout, limiting early detection using conventional extracellular contrast agents for dynamic magnetic resonance imaging (MRI) or computed tomography (CT) imaging. In recent years, gadolinium-based contrast agents with hepatobiliary uptake have garnered interest from radiologists and hepatologists due to their potential for improved detection of HCC during hepatobiliary phase MRI. Lesions with reduced or absent hepatocyte function appear hypointense in the hepatobiliary phase of gadoxetic acid-enhanced MRI. This behavior can be exploited for earlier detection of hypovascular HCC. This review describes the general characteristics and advantages of gadoxetic acid for the diagnosis of HCC with a particular focus on hypovascular/early HCC.