Predictive value of nodule size and differentiation in HCC recurrence after liver transplantation

Anatomic versus non-anatomic liver resection for hepatocellular carcinoma-A European multicentre cohort study in cirrhotic and non-cirrhotic patients

BACKGROUND

The incidence of hepatocellular carcinoma (HCC) is increasing in the western world over the past decades. As liver resection (LR) represents one of the most efficient treatment options, advantages of anatomic (ALR) versus non-anatomic liver resection (NALR) show a lack of consistent evidence. Therefore, the aim of this study was to investigate complications and survival rates after both resection types.

METHODS

This is a multicentre cohort study using retrospectively and prospectively collected data. We included all patients undergoing LR for HCC between 2009 and 2020 from three specialised centres in Switzerland and Germany. Complication and survival rates after ALR versus NALR were analysed using uni- and multivariate Cox regression models.

RESULTS

Two hundred and ninety-eight patients were included. Median follow-up time was 52.76 months. 164/298 patients (55%) underwent ALR. Significantly more patients with cirrhosis received NALR (n = 94/134; p < 0.001). Complications according to the Clavien Dindo classification were significantly more frequent in the NALR group (p < 0.001). Liver failure occurred in 13% after ALR versus 8% after NALR (p < 0.215). Uni- and multivariate cox regression models showed no significant differences between the groups for recurrence free survival (RFS) and overall survival (OS). Furthermore, cirrhosis had no significant impact on OS and RFS.

CONCLUSION

No significant differences on RFS and OS rates could be observed. Post-operative complications were significantly less frequent in the ALR group while liver specific complications were comparable between both groups. Subgroup analysis showed no significant influence of cirrhosis on the post-operative outcome of these patients.

Radiomics analysis of R2* maps to predict early recurrence of single hepatocellular carcinoma after hepatectomy

Objectives

This study aimed to evaluate the effectiveness of radiomics analysis with R2* maps in predicting early recurrence (ER) in single hepatocellular carcinoma (HCC) following partial hepatectomy.

Methods

We conducted a retrospective analysis involving 202 patients with surgically confirmed single HCC having undergone preoperative magnetic resonance imaging between 2018 and 2021 at two different institutions. 126 patients from Institution 1 were assigned to the training set, and 76 patients from Institution 2 were assigned to the validation set. A least absolute shrinkage and selection operator (LASSO) regularization was conducted to operate a logistic regression, then features were identified to construct a radiomic score (Rad-score). Uni- and multi-variable tests were used to assess the correlations of clinicopathological features and Rad-score with ER. We then established a combined model encompassing the optimal Rad-score and clinical-pathological risk factors. Additionally, we formulated and validated a predictive nomogram for predicting ER in HCC. The nomogram's discrimination, calibration, and clinical utility were thoroughly evaluated.

Results

Multivariable logistic regression revealed the Rad-score, microvascular invasion (MVI), and α fetoprotein (AFP) level > 400 ng/mL as significant independent predictors of ER in HCC. We constructed a nomogram based on these significant factors. The areas under the receiver operator characteristic curve of the nomogram and precision-recall curve were 0.901 and 0.753, respectively, with an F1 score of 0.831 in the training set. These values in the validation set were 0.827, 0.659, and 0.808.

Conclusion

The nomogram that integrates the radiomic score, MVI, and AFP demonstrates high predictive efficacy for estimating the risk of ER in HCC. It facilitates personalized risk classification and therapeutic decision-making for HCC patients.

A pathologic scoring system for predicting postoperative prognosis in patients with ruptured hepatocellular carcinoma

BACKGROUND

The accuracy of pathological factors to predict the prognosis of patients with ruptured hepatocellular carcinoma (rHCC) is unclear. We aimed to develop and validate a novel scoring system based on pathological factors to predict the postoperative survival of patients with rHCC.

METHOD

Patients with rHCC who underwent hepatectomy were recruited from three hospitals and allocated to the training (n = 221) and validation (n = 194) cohorts. A new scoring system, namely the MSE (microvascular invasion-satellite foci-Edmondson Steiner) score, was established based on three pathological factors using univariate and multivariate Cox proportional hazards regression analyses, including microvascular invasion, satellite foci, and differentiation grade. Finally, patients were stratified into three groups based on their risk of prognosis (low, intermediate, or high) according to their MSE score. We also constructed MSE score-based nomograms. The performance of the nomograms was assessed by receiver operating characteristic and calibration curve analyses and validated using the validation cohort.

RESULTS

Three pathological factors were significantly correlated with overall survival (OS) and recurrence-free survival (RFS), three of which were included in the MSE score. The score can clearly stratify rHCC patients after hepatectomy (P < 0.05). And we established nomograms based on the MSE score (MSE score, Barcelona Clinic Liver Cancer stage, and alpha-fetoprotein concentration) to predict postoperative OS and RFS in patients with rHCC. The nomograms showed good discrimination, with C-indices over 0.760 for OS and RFS at 1, 3, and 5 years, respectively. The calibration curve showed excellent nomogram calibration, which was also verified in the validation cohort.

CONCLUSION

The clinical MSE score were accurate in predicting OS and RFS in patients with rHCC with resectable lesions after hepatectomy.

Main factors influencing long-term outcomes of liver transplantation in 2022

Liver transplant (LT) outcomes have markedly improved in the recent decades, even if long-term morbidity and mortality are still considerable. Most of late deaths are independent from graft function and different comorbidities, including complications of metabolic syndrome and de novo neoplasms, seem to play a key role in determining long-term outcomes in LT recipients. This review discusses the main factors associated with late mortality and suggests possible strategies to improve long-term management and follow-up after liver transplantation. In particular, the reduction of drug toxicity, the use of tools to identify high-risk patients, and setting up a multidisciplinary team also for long-term management of LT recipients may further improve survival after liver transplantation.

Prediction of early recurrence of hepatocellular carcinoma after liver transplantation based on computed tomography radiomics nomogram

BACKGROUND

Early recurrence results in poor prognosis of patients with hepatocellular carcinoma (HCC) after liver transplantation (LT). This study aimed to explore the value of computed tomography (CT)-based radiomics nomogram in predicting early recurrence of patients with HCC after LT.

METHODS

A cohort of 151 patients with HCC who underwent LT between December 2013 and July 2019 were retrospectively enrolled. A total of 1218 features were extracted from enhanced CT images. The least absolute shrinkage and selection operator algorithm (LASSO) logistic regression was used for dimension reduction and radiomics signature building. The clinical model was constructed after the analysis of clinical factors, and the nomogram was constructed by introducing the radiomics signature into the clinical model. The predictive performance and clinical usefulness of the three models were evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA), respectively. Calibration curves were plotted to assess the calibration of the nomogram.

RESULTS

There were significant differences in radiomics signature among early recurrence patients and non-early recurrence patients in the training cohort (P < 0.001) and validation cohort (P < 0.001). The nomogram showed the best predictive performance, with the largest area under the ROC curve in the training (0.882) and validation (0.917) cohorts. Hosmer-Lemeshow testing confirmed that the nomogram showed good calibration in the training (P = 0.138) and validation (P = 0.396) cohorts. DCA showed if the threshold probability is within 0.06-1, the nomogram had better clinical usefulness than the clinical model.

CONCLUSIONS

Our CT-based radiomics nomogram can preoperatively predict the risk of early recurrence in patients with HCC after LT.

Salvage versus Primary Liver Transplantation for Hepatocellular Carcinoma: A Twenty-Year Experience Meta-Analysis

Simple Summary

Primary liver transplantation (PLT) for HCC represents the ideal treatment. However, since organ shortage increases the risk of drop-out from the waiting list for tumor progression, a new surgical strategy has been developed: Salvage Liver Transplantation (SLT) can be offered as an additional curative strategy for HCC recurrence after liver resection. The aim of this updated meta-analysis is to compare surgical and long-term outcomes of SLT versus PLT for HCC. The findings of our analysis reveal that SLT offers comparable surgical outcomes but slightly poorer oncological long-term outcomes with respect to PLT.

Abstract

(1) Background: Primary liver transplantation (PLT) for HCC represents the ideal treatment. However, since organ shortage increases the risk of drop-out from the waiting list for tumor progression, a new surgical strategy has been developed: Salvage Liver Transplantation (SLT) can be offered as an additional curative strategy for HCC recurrence after liver resection. The aim of this updated meta-analysis is to compare surgical and long-term outcomes of SLT versus PLT for HCC. (2) Materials and Methods: A systematic review and meta-analysis was conducted using the published papers comparing SLT and PLT up to January 2022. (3) Results: 25 studies describing 11,275 patients met the inclusion criteria. The meta-analysis revealed no statistical difference in intraoperative blood loss, overall vascular complications, retransplantation rate, and hospital stay in the SLT group compared with the PLT group. However, the SLT group showed a slightly significant lower 5-year OS rate and 5-year disease-free survival rate. (4) Conclusion: meta-analysis advocates the relative safety and feasibility of both Salvage LT and Primary LT strategies. Specifically, SLT seems to have comparable surgical outcomes but slightly poorer long-term survival than PLT.

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.

Notch–Sox9 Axis Mediates Hepatocyte Dedifferentiation in KrasG12V-Induced Zebrafish Hepatocellular Carcinoma

Liver cancer is one of the most prevalent cancers in humans. Hepatocytes normally undergo dedifferentiation after the onset of hepatocellular carcinoma, which in turn facilitates the progression of cancer. Although the process of hepatocellular carcinoma dedifferentiation is of significant research and clinical value, the cellular and molecular mechanisms underlying it are still not fully characterized. We constructed a zebrafish liver cancer model based on overexpression of the oncogene krasG12V to investigate the hepatocyte dedifferentiation in hepatocellular carcinoma. We found that, after hepatocarcinogenesis, hepatocytes dedifferentiated and the Notch signaling pathway was upregulated in this progress. Furthermore, we found that inhibition of the Notch signaling pathway or deficiency of sox9b both prevented hepatocyte dedifferentiation following hepatocellular carcinoma induction, reducing cancer metastasis and improving survival. In conclusion, we found that hepatocytes undergo dedifferentiation after hepatocarcinogenesis, a process that requires Notch signaling and likewise the activation of Sox9.

DNA Methylation Regulates a Set of Long Non-Coding RNAs Compromising Hepatic Identity during Hepatocarcinogenesis

Simple Summary

Hepatocarcinogenesis is a long process which implies the loss of hepatic functions. Our effort is to understand the mechanisms implicated in this pathological process in order to contribute to the development of new diagnostic markers and therapeutic targets. In this study we have identified a set of lncRNAs significantly downregulated in hepatocellular carcinoma (HCC) in correlation with the grade of tumor dedifferentiation and patients’ worse prognosis. Mechanistically, our results show that they are related with hepatic differentiation and at least a subset of those lncRNAs are essential to ensure the expression of other hepato-specific genes required for liver function. Moreover, we demonstrate that the expression of these lncRNAs in HCC is silenced by DNA methylation. All in all, we uncover connected epigenetic alterations involved in the progression of liver cancer and identify potential new biomarkers.

Abstract

Background: Long noncoding RNAs (lncRNAs) are emerging as key players in cancer, including hepatocellular carcinoma (HCC). Here we identify the mechanism implicated in the HCC inhibition of a set of lncRNAs, and their contribution to the process of hepatocarcinogenesis. Methods and Results: The top-ranked 35 lncRNAs downregulated in HCC (Top35 LNDH) were validated in several human HCC cohorts. We demonstrate that their inhibition is associated with promoter hypermethylation in HCC compared to control tissue, and in HCC human cell lines compared to primary hepatocytes. Moreover, demethylating treatment of HCC human cell lines induced the expression of these lncRNAs. The Top35 LNDH were preferentially expressed in the adult healthy liver compared to other tissues and fetal liver and were induced in well-differentiated HepaRG cells. Remarkably, their knockdown compromised the expression of other hepato-specific genes. Finally, the expression of the Top35 LNDH positively correlates with the grade of tumor differentiation and, more importantly, with a better patient prognosis. Conclusions: Our results demonstrate that the selected Top35 LNDH are not only part of the genes that compose the hepatic differentiated signature but participate in its establishment. Moreover, their downregulation through DNA methylation occurs during the process of hepatocarcinogenesis compromising hepatocellular differentiation and HCC patients’ prognosis.

Prognosis of Liver Transplantation for Hepatocellular Carcinoma in Terms of Different Criteria: A Single Center Experience

OBJECTIVE

Patients undergoing liver transplantation for hepatocellular carcinoma (HCC) within the Milan criteria have an excellent outcome. We developed a program to analyze and prove that the Milan criteria can be expanded safely and effectively.

METHODS

We retrospectively reviewed 117 HCC patients treated with liver transplantation between January 2013 and December 2017. Patients were grouped according to the Milan criteria, the University of California, San Francisco (UCSF) criteria, Up-to-seven criteria and Hangzhou criteria. Tumor-free and overall survival rates were investigated with a Kaplan-Meier analysis. Multivariable regression Cox models produced survival estimates for the patients that exceeded the Milan criteria.

RESULTS

The 1-year, 3-year and 5-year overall survival rates of patients fulfilling the Milan criteria (n=44) were 100%, 87.5% and 78.9%, respectively. Compared with the Milan criteria, the UCSF criteria (n=50), Up-to-seven criteria (n=51) and Hangzhou criteria (n=86) provided an expansion of 13.6%, 15.9% and 95.9%, respectively. The 1-year, 3-year and 5-year overall survival rates of patients fulfilling UCSF criteria, Up-to-seven criteria and Hangzhou criteria were 96.0%, 84.9%, 76.9%; 96.1%, 85.2%, 77.6% and 97.7%, 83.9%, 66.7%, respectively (P>0.05). Multifactor Cox regression showed that tumor diameter and microvascular invasion were independent risk factors for survival in patients that exceeded the Milan criteria.

CONCLUSION

Compared with the Milan criteria, the Hangzhou criteria can safely expand the scope of liver transplantation for HCC to a certain extent. By contrast, the UCSF criteria and Up-to-seven criteria result in a limited number of patients which need further expansion. Tumor diameter and microvascular invasion were the independent risk factors for survival in patients that exceeded the Milan criteria.

Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data

Hepatocellular carcinoma (HCC) is a primary liver cancer that produces a high mortality rate. It is one of the most common malignancies worldwide, especially in Asia, Africa, and southern Europe. Although surgical resection is an effective treatment, patients with HCC are at risk of recurrence after surgery. Preoperative early recurrence prediction for patients with liver cancer can help physicians develop treatment plans and will enable physicians to guide patients in postoperative follow-up. However, the conventional clinical data based methods ignore the imaging information of patients. Certain studies have used radiomic models for early recurrence prediction in HCC patients with good results, and the medical images of patients have been shown to be effective in predicting the recurrence of HCC. In recent years, deep learning models have demonstrated the potential to outperform the radiomics-based models. In this paper, we propose a prediction model based on deep learning that contains intra-phase attention and inter-phase attention. Intra-phase attention focuses on important information of different channels and space in the same phase, whereas inter-phase attention focuses on important information between different phases. We also propose a fusion model to combine the image features with clinical data. Our experiment results prove that our fusion model has superior performance over the models that use clinical data only or the CT image only. Our model achieved a prediction accuracy of 81.2%, and the area under the curve was 0.869.

Hepatocellular Carcinoma Differentiation: Research Progress in Mechanism and Treatment

Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver. Although progress has been made in diagnosis and treatment, morbidity and mortality continue to rise. Chronic liver disease and liver cirrhosis are still the most important risk factors for liver cancer. Although there are many treatments, it can only be cured by orthotopic liver transplantation (OLT) or surgical resection. And the worse the degree of differentiation, the worse the prognosis of patients with liver cancer. Then it can be considered that restoring a better state of differentiation may improve the prognosis. The differentiation treatment of liver cancer is to reverse the dedifferentiation process of hepatocytes to liver cancer cells by means of drugs, improve the differentiation state of the tumor, and restore the normal liver characteristics, so as to improve the prognosis. Understanding the mechanism of dedifferentiation of liver cancer can provide ideas for drug design. Liver enrichment of transcription factors, imbalance of signal pathway and changes of tumor microenvironment can promote the occurrence and development of liver cancer, and restoring its normal level can inhibit the malignant behavior of tumor. At present, some drugs have been proved to be effective, but more clinical data are needed to support the effectiveness and reliability of drugs. The differentiation treatment of liver cancer is expected to become an important part of the treatment of liver cancer in the future.

Prognostic role of selection criteria for liver transplantation in patients with hepatocellular carcinoma: a network meta-analysis

BACKGROUND

Patients with hepatocellular carcinoma (HCC) are selected for transplantation if they have a low tumour burden and low risk of recurrence. The morphometric Milan criteria have been the cornerstone for patient selection, but dynamic morphological and biological tumour characteristics surfaced as an encouraging tool to refine the selection of patients with HCC and to support the expansion of the Milan criteria. The outcomes of the most prevalent models that select patients with HCC for liver transplantation were analysed in this study, which aimed to identify the selection model that offered the best recurrence-free and overall survival after transplantation.

METHODS

Studies that compared Milan, University of California San Francisco (UCSF), up-to-seven (UPTS), alpha-fetoprotein (AFP), and MetroTicket 2.0 (MT2) models were included. One-year, 3-year, and 5-year recurrence-free and overall survival rates of patients selected for transplantation using different models were analysed.

RESULTS

A total of 60 850 adult patients with HCC selected for liver transplantation using Milan, UCSF, UPTS, AFP, or MT2 criteria were included. Patients selected for transplantation using the MT2 model had the highest 1-, 3-, and 5-year recurrence-free survival. In addition, patients selected for transplantation using MT2 criteria had the best 1- and 3-year overall survival, whereas patients selected for transplantation using the Milan criteria had the best 5-year overall survival rates.

CONCLUSION

The MT2 model offered the best post-transplant outcomes in patients with HCC, highlighting the importance of considering tumour morphology and biology when selecting patients with HCC for liver transplantation.

Liver Transplantation for HCC in HIV-Infected Patients: Long-Term Single-Center Experience

BACKGROUND

HIV-infected patients now have long life expectation since the introduction of the highly active antiretroviral therapy (HAART). Liver diseases, especially cirrhosis and hepatocellular carcinoma (HCC), currently represent a leading cause of death in this setting of patients.

AIM

To address the results of liver transplantation (LT) for HCC in HIV-infected patients.

METHODS

All patients with and without HIV infection who underwent LT for HCC (n = 420) between 2001 and 2021 in our center were analyzed with the intent of comparing graft and patient survival. Cox regression analysis was used to determine prognostic survival factors and logistic regression to determine the predictor factors of post-LT recurrence.

RESULTS

Among 1010 LT, 32 were HIV-infected recipients. With an average follow-up of 62 ± 51 months, 5-year overall survival in LT recipients with and without HIV-infection was 71.6% and 69.9%, respectively (p = ns), whereas 5-year graft survival in HIV-infected and HIV-non infected was 68.3% and 68.2%, respectively (p = ns). The independent predictive factor of survival in the study group was: HCV infection (HR 1.83, p = 0.024). There were no significant differences in the pathological characteristics of HCC between the two groups. The logistic regression analysis of the study population demonstrated that microvascular invasion (HR 5.18, p< 0.001), HCC diameter (HR 1.16, p = 0.028), and number of HCC nodules (HR 1.26, p = 0.003) were predictors of recurrence post-LT.

CONCLUSION

Our study shows that HIV patients undergoing LT for HCC have comparable results in terms of post-LT survival. Excellent results can be achieved for HIV-infected patients with HCC, as long as a strategy of close surveillance and precise treatment of the tumor is adopted while on the waiting list.

Recurrent Hepatocellular Carcinoma After Liver Transplantation: Validation of a Pathologic Risk Score on Explanted Livers to Predict Recurrence

BACKGROUND

Recurrence of hepatocellular carcinoma (HCC) after liver transplantation is a major cause of morbidity and mortality. To date, there is no widely accepted pathologic assessment tool to predict HCC recurrence. In 2007, we developed a pathologic risk score that stratified patients into low, intermediate, or high risk for recurrence based on explant pathology. The aim of this study was to externally validate this risk score.

METHODS

We retrospectively evaluated 124 patients over a 10-year period who underwent liver transplantation for HCC. Using explanted pathology reports, each patient was stratified according to the pathologic risk score and followed over time for HCC recurrence.

RESULTS

Recurrence occurred in 15 patients (12%) after a mean follow-up of 25 months. Using the pathologic risk score, 10 (8%), 21 (17%), and 93 (75%) patients were stratified into high, intermediate, and low risk of recurrence, respectively. Among these risk groups, recurrence occurred in 50%, 28.5%, and 4.3% (P < .01) of patients, respectively. Using the optimal cutoff value ≤3.5, our risk score had a sensitivity of 80% and specificity of 79% with an area under the receiver operator characteristic curve of 0.8. Those with lower risk scores had higher recurrence-free survival (P < .0001).

CONCLUSIONS

Our pathologic risk score accurately risks stratified patients for HCC recurrence after liver transplant. It can be used to tailor surveillance strategies for those deemed to be at elevated risk for recurrence.

Identification of NAA40 as a Potential Prognostic Marker for Aggressive Liver Cancer Subtypes

Liver hepatocellular carcinoma (LIHC) is a leading cause of cancer-related mortality. In this study we initially interrogated the Cancer Genome Atlas (TCGA) dataset to determine the implication of N-terminal acetyltransferases (NATs), a family of enzymes that modify the N-terminus of the majority of eukaryotic proteins, in LIHC. This examination unveiled NAA40 as the NAT family member with the most prominent upregulation and significant disease prognosis for this cancer. Focusing on this enzyme, which selectively targets histone proteins, we show that its upregulation occurs from early stages of LIHC and is not specifically correlated with any established risk factors such as viral infection, obesity or alcoholic disease. Notably, in silico analysis of TCGA and other LIHC datasets found that expression of this epigenetic enzyme is associated with high proliferating, poorly differentiating and more aggressive LIHC subtypes. In particular, NAA40 upregulation was preferentially linked to mutational or non-mutational P53 functional inactivation. Accordingly, we observed that high NAA40 expression was associated with worse survival specifically in liver cancer patients with inactivated P53. These findings define NAA40 as a NAT with potentially oncogenic functions in LIHC and uncover its prognostic value for aggressive LIHC subtypes.

Recurrence of Hepatocellular Carcinoma After Liver Transplantation is Associated with Episodes of Acute Rejections

Purpose

The impact of acute rejection (AR) after liver transplantation (LT) for hepatocellular carcinoma (HCC) on patient outcome is uncertain. This aim of this study is to investigate whether AR is associated with HCC relapse and overall survival.

Patients and Methods

Patients undergoing LT for HCC between 2001 and 2015 were retrospectively analyzed with regard to histopathological proven AR within the median time until recurrence. Cox’s regression analysis was conducted revealing risk factors for HCC recurrence.

Results

HCC recurred in 47 of 252 analyzed patients with a median time to recurrence of 20 months. Patients with AR (28.6%) had a significantly higher frequency of recurrence compared to patients without AR (13.0%, p=0.002). Multiple Cox regression analyses identified AR within 20 months to be an independent risk factor for HCC recurrence both as dichotomized (HR=2.91, 95%CI: 1.30–6.53; p=0.009) and as a continuous variable (HR=1.81, 95%CI: 1.28–2.54; p=0.001). HCC recurrence and AR were associated with higher grades of liver fibrosis one year after LT, when compared to patients without AR (p=0.019).

Conclusion

Our results demonstrate an association of AR with HCC recurrence after LT with implications for intervals of monitoring in tumor surveillance. Graft fibrosis and immune mechanisms are potentially related and causal interactions are worth further investigation.

A Prognostic Scoring System for Predicting Overall Survival of Patients with the TNM 8th Edition Stage I and II Hepatocellular Carcinoma After Surgery: A Population-Based Study

Purpose

Postoperative prognosis prediction models for patients with stage Ⅰ and Ⅱ hepatocellular carcinoma (HCC) according to the 8th edition of the Tumor-Node-Metastasis staging system after surgery are rare. This study aimed to build a prognostic score to predict survival outcomes and stratify these patients into different prognostic strata.

Patients and Methods

We developed a web-based nomogram that incorporated four selected risk factors based on the multivariate Cox regression, using a training set (n=3567) from the Surveillance, Epidemiology, and End Results (SEER) database. It was validated with an independent internal set from the SEER database (n=1783) and an external validation set of 516 Chinese patients. The predictive performance and discrimination ability of our model were further evaluated and compared with those of the conventional HCC staging systems.

Results

Our nomogram consistently outperformed the conventional staging systems in the training, internal validation set, and external validation set. We quantified the nomogram model into a numerical SNIG (an abbreviation of the incorporated variables – size, number, MVI, and grade) score by summing the points assigned to each incorporated variable, leading to the optimal cut-off values of 6 and 10, which could stratify patients into 3 categories (SNIG score <6, 6–10, ≥10). This yielded significantly different median overall survivals (interquartile ranges) of 42.0 (20.0–72.0) and 37.0 (17.0–67.0); 28.0 (12.0–60.0) and 42.0 (21.75–82.0); 40.0 (18.0–70.0) and 29.0 (11.5–61.0) months for the 3 categories in the entire SEER and external validation sets, respectively.

Conclusion

We developed a web-based SNIG model to graphically and numerically predict the overall survival of stage Ⅰ and Ⅱ HCC. This scoring system may shed light on risk stratification for these patients in clinical practice and clinical trials.

Major robotic hepatectomies: technical considerations

Robotic approach to the liver may allow to perform difficult resections with a minimally invasive strategy in an easier way as compared to standard laparoscopy. The aim of this study is to review our experience with robotic major hepatectomies, reporting technical considerations, and describing the outcomes of patients that underwent either left (LRH) or right robotic hepatectomy (RRH). Our prospectively maintained database was screened to identify all patients that received a major liver resection for benign or malignant disease. Preoperative data and postoperative short-term and long-term outcomes were reported. 261 robotic procedures were performed in our Center between May 2014 and October 2020. 12 patients underwent robotic left hepatectomy (RLH) and 10 patients were treated by robotic right hepatectomy (RRH). In the RLH group, median operative time (OT) was 383 min, median estimated blood loss (EBL) was 300 ml, and median in-hospital stay was of 3 days. In the RRH group, median OT was 490 min, median EBL 725 ml, and median hospital stay was 5 days. Although one of the advantages of minimally invasive surgery is to obtain radical resections with parenchyma sparing strategies, patients that need a major hepatectomy may benefit of a robotic resection with good postoperative outcomes. Team learning curve and growth instead of personal progression is crucial to expand the limits of novel surgical techniques.

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.

Posttransplant Management of Recipients Undergoing Liver Transplantation for Hepatocellular Carcinoma. Working Group Report From the ILTS Transplant Oncology Consensus Conference

Although liver transplantation (LT) is the best treatment for patients with localized hepatocellular carcinoma (HCC), recurrence occurs in 6%-18% of patients. Several factors, particularly morphological criteria combined with dynamic parameters, known before LT modify this risk and combined in prediction models may be used to stratify patients at need of variable surveillance strategies. Additional variables though likely explain differences in recurrence rates in patients with the same pre-LT HCC status. One of these variables is possibly immunosuppression (IS). Once recurrence takes place, management is highly heterogenous. Within the International Liver Transplantation Society Consensus Conference on Liver Transplant Oncology, working group 4 aim was to analyze the data regarding posttransplant management of recipients undergoing LT for HCC. Three areas of research were considered: (1) cancer prediction models and surveillance strategies; (2) tailored IS for cancer recipients; and (3) new adjuvant therapies for HCC recurrence. Following formulation of several questions, a literature search was undertaken with abstract review followed by article retrieval and full-data extraction. The grading of recommendations assessment, development and evaluation (GRADE) system was used for evidence rating incorporating strength of recommendation and quality of evidence.

Reappraisal of Failures in Downstaging Treatment of Hepatocellular Carcinoma Prior to Liver Transplant-Preliminary Report on the Impact of Underestimations of Tumor Numbers and Tumor Sizes as Measured From Imaging Before Transplant

Downstaging treatment of hepatocellular carcinoma (HCC) prior to liver transplant (LT) is an accepted strategy to meet the Milan criteria. However, after transplant surgery, a reality is noted that the number or/and the size of some HCCs measured from the liver explants is different from that measured from the pre-LT imaging. If tumor number or tumor size measured from the liver explants was beyond that measured from pre-LT imaging, we define it as "failed downstaging." Among 27 patients who received downstaging therapies, there are 11 "number reduction failures" and 6 "size reduction failures." We attribute the discrepancy to 2 possible reasons; one is that the pre-LT imaging after downstaging could not completely detect all the HCC; the other is that the time interval between the downstaging and LT is long enough to develop new HCCs. After follow-up, 6 patients developed HCC recurrence. The significant factors affecting recurrence include tumor size from postdownstaging imaging (P = .048), tumor number ≥ 2 (P = .007), multiple sessions of downstaging (P = .03), ratio of neutrophil to lymphocyte (P = .047), and tumor number from liver explant (borderline P = .05). Tumor recurrence after LT is significantly higher in those with "size reduction failure" (P = .048). The interval between LT and tumor recurrence is significantly shorter in those with "size reduction failure" (P = .04). To decrease underestimations of HCC, combining various imaging studies including the computed tomographic scan, magnetic resonance imaging, and contrast ultrasonography is needed to increase the accuracy before LT. Repeated imaging studies at short intervals of no more than 3 months are necessary during a long wait. How to minimize the underestimations of HCC to determine the appropriate candidacy for LT is an important goal for transplantation surgeons.

Accuracy of Pretransplant Imaging Diagnostic for Hepatocellular Carcinoma: A Retrospective German Multicenter Study

Selection and prioritization of patients with HCC for LT are based on pretransplant imaging diagnostic, taking the risk of incorrect diagnosis. According to the German waitlist guidelines, imaging has to be reported to the allocation organization (Eurotransplant) and pathology reports have to be submitted thereafter. In order to assess current procedures we performed a retrospective multicenter analysis in all German transplant centers with focus on accuracy of imaging diagnostic and tumor classification. 1168 primary LT for HCC were conducted between 2007 and 2013 in Germany. Patients inside the Milan, UCSF, and up-to-seven criteria were misclassified with definitive histologic results in 18%, 15%, and 11%, respectively. Patients pretransplant outside the Milan, UCSF, and up-to-seven criteria were otherwise misclassified in 34%, 43%, and 41%. Recurrence-free survival correlated with classification by posttransplant histological report, but not pretransplant imaging diagnostic. Univariate analysis revealed tumor size, vascular invasion, and grading as significant parameters for outcome, while tumor grading was the only parameter persisting by multivariate testing. Conclusion. There was a relevant percentage (15-40%) of patients misclassified by imaging diagnosis at a time prior to LI-RADS and guidelines to improve imaging of HCC. Outcome analysis showed a good correlation to histological, in contrast poor correlation to imaging diagnosis, suggesting an adjustment of the LT selection and prioritization criteria.

Interferon-induced transmembrane protein-3 rs12252-CC is associated with low differentiation and progression of hepatocellular carcinoma

Interferon-induced transmembrane protein 3 (IFITM3) is a component of ISG (Interferon-Stimulated Gene) family. The association between IFITM3 and hepatocellular carcinoma (HCC) has been reported. While the relationship between this genetic variation and the progress of HCC remains unclear. To address this issue, we explore the relationship between the IFITM3-rs12252 genetic variants and the progression of HCC in this study.A total of 336 candidates were enrolled in the study, including 156 patients with HBV related HCC and 180 patients with chronic Hepatitis B infections or liver cirrhosis. Liver cirrhosis or chronic hepatitis B were diagnosed with clinical characteristics and staging, laboratory testing, and imaging results of viral infection and hepatic damage. Polymerase chain reaction (PCR) was employed to determine the gene polymorphism of IFITM3, and analyzed with the GraphPad Prism v 5.The patients with HCC had a significantly higher proportion of IFITM3 rs12252-CC as compared with the patients with chronic HBV infection or liver cirrhosis. Moreover, the distribution of CC genotype in HCC patients with low differentiation was significantly higher than that in those with high differentiation. Furthermore, the patients with CC genotype were found with bigger tumor size, higher percentage of vascular thrombosis, higher distribution of low differentiation and higher 5-year relapse rate than those with CT/TT genotypes.This study indicates a correlation between the IFITM3-rs12252 CC genotype and the progression of HCC.

Advances in predicting the prognosis of hepatocellular carcinoma recipients after liver transplantation

Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors worldwide. Liver transplantation (LT) is known as a curative and therapeutic modality. However, the survival rates of recipients after LT are still not good enough because of tumor recurrence. To improve the survival rates of recipients after LT, identifying predictive factors for prognosis after LT and establishing a model assessing prognosis are very important to HCC patients. There has recently been a lot of clinical and basic research on recurrence and prognosis after LT. Progress has been made, especially in selection criteria for LT recipients and risk factors for predicting prognosis after LT. Hangzhou criteria, in line with China's high current incidence rate of primary liver, are first proposed by Chinese scholars of LT, and are accepted world-wide, and make an important contribution to the development of LT.

Elevated expression of eukaryotic translation initiation factor 3H is associated with proliferation, invasion and tumorigenicity in human hepatocellular carcinoma

Aim

We studied the role of eukaryotic translation initiation factor 3 subunit H (EIF3H) in hepatocellular carcinoma (HCC) progression.

Results

High EIF3H expression was observed in 50.23% patients. Upregulation of EIF3H is an independent predictor for greater rates of cancer recurrence and shorter overall survival in HCC patients. Knockdown of EIF3H expression in HCC cells promoted apoptosis, and inhibited cell growth, colony formation, migration, as well as xenograft growth. TGF-βand MAPK pathways are potentially targeted by EIF3H.

Methods

EIF3H mRNA expression was measured in HCC tissue samples and paired non-tumor samples (N=60) and results were validated in another dataset of 215 HCC patients. Then EIF3H expression and clinical outcomes were correlated. Malignant phenotypes were studied after EIF3H expression was knocked down with siRNA in HCC cell lines. EIF3H targeted pathways were identified by microarray analysis.

Conclusion

EIF3H is frequently upregulated and is an independent prognostic marker for HCC patients and EIF3H inhibition mitigates the malignant phenotype. Our data provide novel insight into the function of EIF3H in HCC progression, and suggest that EIF3H may be a potentially valuable biomarker for HCC.

Incidence and risk factors of hepatocellular carcinoma after orthotopic liver transplantation

BACKGROUND

The incidence of hepatocellular carcinoma has doubled over the past 2 decades, becoming the fifth most common cancer worldwide. Orthotopic liver transplant is the gold standard treatment for those with hepatocellular carcinoma meeting eligibility criteria, although recurrence rates of hepatocellular carcinoma after orthotopic liver transplant still remain an understudied obstacle.

METHODS

We performed a single-center, retrospective, longitudinal study with the aim of determining the predominant baseline and follow-up variables associated with hepatocellular carcinoma recurrence. We gathered pre- and post-transplant data and conducted univariate and multivariate analysis to assess variables predicting hepatocellular carcinoma recurrence after orthotopic liver transplant.

RESULTS

Between 2003 and 2015, 141 patients underwent orthotopic liver transplant for hepatocellular carcinoma. We identified 9 (6.4%) cases of documented hepatocellular carcinoma recurrence. Univariate analysis indicated that the difference in serum alpha-fetoprotein levels (most recent prior to transplant subtracted from maximum level) was lower in the hepatocellular carcinoma recurrence group (median 3 ng/mL vs 0 ng/mL, P = .052) as well as the pretransplant serum cholesterol level (median 158 mg/dL vs 113 mg/dL, P = .019) and days between hepatocellular carcinoma neoadjuvant treatment initiation and transplantation (median 122 vs 0, P = .045). Multivariate analysis revealed that a low pretransplant serum cholesterol level (<100 mg/dL) was independently associated with hepatocellular carcinoma recurrence (hazard ratio 11.0, P = .004).

CONCLUSION

The risk of hepatocellular carcinoma recurrence after orthotopic liver transplant was low, at 6.4%, in this cohort. Low pretransplant serum cholesterol was the strongest predictor of recurrence and may help clinicians risk stratify patients for appropriate post-transplant monitoring and follow-up.