Prediction of Survival Among Patients Receiving Transarterial Chemoembolization for Hepatocellular Carcinoma: A Response-Based Approach

Tumor Response and Nomogram-Based Prognostic Stratification for Hepatocellular Carcinoma After Drug-Eluting Beads Transarterial Chemoembolization

Purpose

To explore the tumor response and propose a nomogram-based prognostic stratification for hepatocellular carcinoma (HCC) after drug-eluting beads transarterial chemoembolization (DEB-TACE).

Patients and Methods

From the database of two centers, patients who received DEB-TACE as an initial treatment were enrolled and divided into the training and validation sets. The tumor response after DEB-TACE was estimated according to the Modified Response Evaluation Criteria in Solid Tumors. Using the independent survival predictors in the training set, a nomogram was constructed and validated internally and externally by measuring concordance index (C-index) and calibration. A prognostic stratification based on the nomogram was established.

Results

A total of 335 patients met the inclusion criteria for the study. Alkaline phosphatase level, tumor maximum diameter, tumor capsule and portal vein invasion were interrelated with the achievement of complete release after DEB-TACE. Alpha-fetoprotein level, Child-Pugh class, tumor maximum diameter, tumor number, tumor extent and portal vein invasion were integrated into the nomogram. The nomogram demonstrated good calibration and discrimination, with C-indexes of 0.735 and 0.854 and higher area under the curve (AUC) than BCLC and CNLC staging systems in the internal and external validation sets. The prognostic stratification classified patients into three different risk groups, which had significant differences in survival, complete release and objective response rate between any two groups (P < 0.05).

Conclusion

The nomogram-based prognostic stratification has a good distinction and may help to identify the patients benefiting from DEB-TACE.

The importance of liver functional reserve in the non-surgical treatment of hepatocellular carcinoma

The aim of any oncological treatment is not just to eliminate the tumour, but to maximise patient survival and quality of life. Since the liver has a vital function, any radical treatment that severely compromises liver function will result in a shortening of life expectancy, rather than a prolongation. Furthermore, even non-severe liver damage may prevent the delivery of further effective therapies. This is particularly important in the case of hepatocellular carcinoma (HCC), as it is associated with underlying cirrhosis in most patients - cirrhosis itself is not only a potentially lethal disease and independent prognostic factor in HCC, but it also makes liver function fragile. Accordingly, some information about liver dysfunction is included in most staging systems for HCC and can be used to guide the selection of treatments that the functional liver reserve can tolerate. Unfortunately, the prediction of functional damage to the liver in the case of antitumor treatments is very challenging and still suboptimal in any given patient. Moreover, while the assessment of functional reserve can now be used to avoid postoperative liver failure in the surgical setting, its use has been less well clarified for non-surgical therapies, which is of particular relevance today, as several lines of effective non-surgical treatments, including systemic therapies, have become available. The present article will a) critically review the implications of the assessment of liver functional reserve in patients with HCC, b) illustrate the available tools to assess liver functional reserve and c) discuss the role of functional assessment for each type of non-surgical therapy for HCC.

Optimal time point of response assessment for predicting survival is associated with tumor burden in hepatocellular carcinoma receiving repeated transarterial chemoembolization

OBJECTIVES

Objective response rate (ORR) under mRECIST criteria after transarterial chemoembolization (TACE) is a well-perceived surrogate endpoint of overall survival (OS). However, its optimal time point remains controversial and may be influenced by tumor burden. We aim to investigate the surrogacy of initial/best ORR in relation to tumor burden.

METHODS

A total of 1549 eligible treatment-naïve patients with unresectable hepatocellular carcinoma (HCC), Child-Pugh score ≤ 7, and performance status score ≤ 1 undergoing TACE between January 2010 and May 2016 from 17 academic hospitals were retrospectively analyzed. Based on "six-and-twelve" criteria, tumor burden was graded as low, intermediate, and high if the sum of the maximum tumor diameter and tumor number was ≤ 6, > 6 but ≤ 12, and > 12, respectively.

RESULTS

Both initial and best ORRs interacted with tumor burden. Initial and best ORRs could equivalently predict and correlate with OS in low (adjusted HR, 2.55 and 2.95, respectively, both p < 0.001; R = 0.84, p = 0.035, and R = 0.97, p = 0.002, respectively) and intermediate strata (adjusted HR, 1.81 and 2.22, respectively, both p < 0.001; R = 0.74, p = 0.023, and R = 0.9, p = 0.002, respectively). For high strata, only best ORR exhibited qualified surrogacy (adjusted HR, 2.61, p < 0.001; R = 0.70, p = 0.035), whereas initial ORR was not significant (adjusted HR, 1.08, p = 0.357; R = 0.22, p = 0.54).

CONCLUSIONS

ORR as surrogacy of OS is associated with tumor burden. For patients with low/intermediate tumor burden, initial ORR should be preferred in its early availability upon similar sensitivity, whereas for patients with high tumor burden, best ORR has optimal sensitivity. Timing of OR assessment should be tailored according to tumor burden.

KEY POINTS

• This is the first study utilizing individual patient data to comprehensively analyze the surrogacy of ORR with a long follow-up period. • Optimal timing of ORR assessment for predicting survival should be tailored according to tumor burden. • For patients with low and intermediate tumor burden, initial ORR is optimal for its timeliness upon similar sensitivity with best ORR. For patients with high tumor burden, best ORR has optimal sensitivity.

Transarterial chemoembolization with or without sorafenib for hepatocellular carcinoma: A real-world propensity score-matched study

OBJECTIVES

Transarterial chemoembolization (TACE) or sorafenib may prolong survival in patients with unresectable hepatocellular carcinoma (HCC); however, whether their combination prolongs survival than TACE alone remains controversial. We aimed to compare the overall survival (OS) of patients with unresectable HCC treated with TACE plus sorafenib (TACE-S) versus TACE alone.

MATERIALS AND METHODS

All patients with unresectable HCC who received TACE as the initial therapy between January 2006 and January 2017 at Taipei Tzu Chi Hospital were enrolled. We matched patients treated with TACE-S and those treated with TACE alone (TACE) by performing propensity score matching at a 1:2 ratio. Our primary outcome was OS during a 10-year follow-up period, and represented as a hazard ratio calculated using Cox proportional hazard regression models.

RESULTS

Among 515 patients with unresectable HCC were treated initially with TACE, 56 receiving TACE-S group and 112 receiving TACE alone (TACE group) were included in the primary outcome analysis. The TACE-S group had significantly longer median OS than did the TACE group (1.55 vs. 0.32, years; P < 0.001), and the 5-year OS rates was 10.7% in the TACE-S group and 0.9% in the TACE group (P < 0.001). In multivariate analyses, patients with a lower Child-Pugh score, tumor size ≤5 cm, and no extrahepatic metastasis before treatment and those receiving antiviral agents and receiving TACE-S had longer OS (all P < 0.001).

CONCLUSION

Antiviral agents and the combination of TACE with sorafenib may improve the OS of patients with unresectable HCC.

Randomized Phase 3 LEAP-012 Study: Transarterial Chemoembolization With or Without Lenvatinib Plus Pembrolizumab for Intermediate-Stage Hepatocellular Carcinoma Not Amenable to Curative Treatment

PURPOSE

Transarterial chemoembolization (TACE) is the standard of care for patients with intermediate-stage hepatocellular carcinoma (HCC). Lenvatinib, a multikinase inhibitor, and pembrolizumab, a PD-1 inhibitor, have shown efficacy and tolerability in patients with HCC, and adding this combination to TACE may enhance clinical benefit.

PROTOCOL

LEAP-012 is a prospective, double-blind randomized phase 3 study. Adults with confirmed HCC localized to the liver without portal vein thrombosis and not amenable to curative treatment, ≥ 1 measurable tumor per Response Evaluation Criteria in Solid Tumors 1.1 (RECIST 1.1), Eastern Cooperative Oncology Group performance status 0 or 1, Child-Pugh class A and no previous systemic treatment for HCC are eligible. Patients will be randomly assigned to lenvatinib once daily plus pembrolizumab every 6 weeks plus TACE or placebos plus TACE. Dual primary endpoints are overall survival and progression-free survival per RECIST 1.1 by blinded independent central review (BICR). Secondary endpoints are progression-free survival, objective response rate, disease control rate, duration of response and time to progression per modified RECIST by BICR; objective response rate, disease control rate, duration of response and time to progression per RECIST 1.1 by BICR; and safety.

STATISTICS

The planned sample size, 950 patients, was calculated to permit accumulation of sufficient overall survival events in 5 years to achieve 90% power for the overall survival primary endpoint.

DISCUSSION

LEAP-012 will evaluate the clinical benefit of adding lenvatinib plus pembrolizumab to TACE in patients with intermediate-stage HCC not amenable to curative treatment.

CLINICALTRIALS

gov NCT04246177.

Noninvasive Imaging Evaluation Based on Computed Tomography of the Efficacy of Initial Transarterial Chemoembolization to Predict Outcome in Patients with Hepatocellular Carcinoma

Purpose

This study aims to develop a new model to more comprehensively and accurately predict the survival of patients with HCC after initial TACE.

Patients and Methods

The whole cohort (n = 102) was randomly divided into a training cohort and a validation cohort in the ratio of 8:2. The optimal radiomics signatures were screened using the least absolute shrinkage and selection operator algorithm (LASSO) regression for constructing the radscore to predict overall survival (OS). The C-index (95% confidence interval, CI), calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the models. The independent risk factors (hazard ratio, HR) for predicting OS were stratified by Kaplan–Meier (K-M) analysis and the Log rank test.

Results

The median OS was 439 days (95% CI: 215.795–662.205) in whole cohort, and in the training cohort and validation cohort, the median OS was 552 days (95% CI: 171.172–932.828), 395 days (95% CI: 309.415–480.585), respectively (P = 0.889). After multivariate cox regression, the combined radscore-clinical model was consisted of radscore (HR: 2.065, 95% CI: 1.285–3.316; P = 0.0029) and post-response (HR: 1.880, 95% CI: 1.310–2.697; P = 0.0007), both of which were independent risk factors for the OS. In the validation cohort, the efficacy of both the radscore (C-index: 0.769, 95% CI: 0.496–1.000) and combined model (C-index: 0.770, 95% CI: 0.581–0.806) were higher than that of the clinical model (C-index: 0.655, 95% CI: 0.508–0.802). The calibration curve of the combined model for predicting OS presented good consistency between observations and predictions in both the training cohort and validation cohort.

Conclusion

Noninvasive imaging has a good prediction performance of survival after initial TACE in patients with HCC. The combined model consisting of post-response and radscore may be able to better predict outcome.

Transarterial Chemoembolization for Hepatocellular Carcinoma: Why, When, How?

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. It is principally associated with liver cirrhosis and chronic liver disease. The major risk factors for the development of HCC include viral infections (HBV, HCV), alcoholic liver disease (ALD,) and non-alcoholic fatty liver disease (NAFLD). The optimal treatment choice is dictated by multiple variables such as tumor burden, liver function, and patient's health status. Surgical resection, transplantation, ablation, transarterial chemoembolization (TACE), and systemic therapy are potentially useful treatment strategies. TACE is considered the first-line treatment for patients with intermediate stage HCC. The purpose of this review was to assess the indications, the optimal treatment schedule, the technical factors associated with TACE, and the overall application of TACE as a personalized treatment for HCC.

Radiomics analysis of pretreatment MRI in predicting tumor response and outcome in hepatocellular carcinoma with transarterial chemoembolization: a two-center collaborative study

BACKGROUND AND OBJECTIVE

To develop a machine-learning model by integrating clinical and imaging modalities for predicting tumor response and survival of hepatocellular carcinoma (HCC) with transarterial chemoembolization (TACE).

METHODS

140 HCC patients with TACE were retrospectively included from two centers. Tumor response were evaluated using modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria. Response-related radiomics scores (Rad-scores) were constructed on T2-weighted images (T₂WI) and dynamic contrast-enhanced (DCE) imaging separately, and then integrated with conventional clinic-radiological variables into a logistic regression (LR) model for predicting tumor response. LR model was trained in 94 patients in center 1 and independently tested in 46 patients in center 2.

RESULTS

Among 4 MRI sequences, T₂WI achieved better performance than DCE (area under the curve [AUC] 0.754 vs 0.602 to 0.752). LR model by combining Rad-score on T₂WI with Barcelona Clinic Liver Cancer (BCLC) stage and albumin-bilirubin (ALBI) grade resulted in an AUC of 0.813 in training and 0.781 in test for predicting tumor response. In survival analysis, progression-free survival (PFS) and overall survival (OS) presented significant difference between LR-predicted responders and non-responders. The ALBI grade and BCLC stage were independent predictors of PFS; and LR-predicted response, ALBI grade, satellite node, and BCLC stage were independent predictors of OS. The resulting Cox model produced concordance-indexes of 0.705 and 0.736 for predicting PFS and OS, respectively.

CONCLUSIONS

The model combined MRI radiomics with clinical factors demonstrated favorable performance for predicting tumor response and clinical outcomes, thus may help personalized clinical management.

A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma

Background

Transarterial chemoembolization (TACE) is recommended for intermediate-stage HCC patients. Owing to substantial variation in its efficacy, indicators of patient responses to TACE need to be determined.

Methods

A Gene Expression Omnibus (GEO) dataset consisting of patients of different TACE-response status was retrieved. Differentially expressed genes (DEGs) were calculated and variable gene ontology analyses were conducted. Potential drugs and response to immunotherapy were predicted using multiple bioinformatic algorithms. We built and compared 5 machine-learning models with finite genes to predict patients' response to TACE. The model was also externally validated to discern different survival outcomes after TACE. Tumor-infiltrating lymphocytes (TILs) and tumor stemness index were evaluated to explore potential mechanism of our model.

Results

The gene set variation analysis revealed enhanced pathways related to G2/M checkpoint, E2F, mTORC1, and myc in TACE nonresponders. TACE responders had better immunotherapy response too. 373 DEGs were detected and the upregulated DEGs in nonresponders were enriched in IL-17 signal pathway. 5 machine-learning models were constructed and evaluated, and a linear support vector machine (SVM)-based model with 10 genes was selected (AQP1, FABP4, HERC6, LOX, PEG10, S100A8, SPARCL1, TIAM1, TSPAN8, and TYRO3). The model achieved an AUC and accuracy of 0.944 and 0.844, respectively, in the development cohort. In the external validation cohort comprised of patients receiving adjuvant TACE and postrecurrence TACE treatment, the predicted response group significantly outlived the predicted nonresponse counterparts. TACE nonresponders tend to have more macrophage M0 cells and lower resting mast cells in the tumor tissue and the stemness index is also higher than responders. Those characteristics were successfully captured by our model.

Conclusion

The model based on expression data of 10 genes could potentially predict HCC patients' response and prognosis after TACE treatment. The discriminating power was TACE-specific.

Development of a Prognostic Nomogram in Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Following Trans-Arterial Chemoembolization with Drug-Eluting Beads

Objective

To develop and validate a prognostic nomogram in eastern patients with hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC) and portal vein tumor thrombus (PVTT) receiving trans-arterial chemoembolization with drug-eluting beads (DEB-TACE).

Methods

This retrospective study included 200 patients with training cohort (n = 118) from institution 1 and test cohort (n = 82) from institution 2. All these patients received first-line DEB-TACE between October 2016 and October 2018. Multivariate Cox proportional hazard regression analysis was performed on the training cohort to reveal the independent prognostic factors, and then prognostic nomograms were developed. In order to evaluate the performance of the nomogram comprehensively in both the training and test cohorts, C-index, Kaplan–Meier curve with Log rank test, receiver operating characteristic curve (ROC), calibration plot, and decision curve analysis (DCA) were performed.

Results

Tumor number, serum γ-glutamyl transferase (GGT) level, and level of PVTT were independent risk factors of prognosis. A nomogram was constructed to predict 6-, 12- and 18-month overall survival (OS) based on these identified prognostic factors. C-indexes of the nomogram were 0.88 (95% confidence interval [CI], 0.79–0.97) in the training cohort and 0.87 (95% CI, 0.75–0.99) in the test cohort. The Kaplan–Meier curve analysis showed that the nomogram was able to separate patients into low- and high-risk subgroups. ROC curves for the nomogram at 6-, 12- and 18-month showed satisfied discrimination, with an AUC of 0.765, 0.803 and 0.809 in the training cohort, respectively, and 0.772, 0.724 and 0.746 in the test cohort, respectively. The calibration curve demonstrated good agreement between predicted and actual survival rates in the training and test cohorts. The decision curve showed good performance of the nomogram in terms of clinical application.

Conclusion

We developed and validated a nomogram that was accurate and clinically useful in eastern patients with HBV-associated HCC with PVTT who underwent DEB-TACE.

Models to Predict Development or Recurence of Hepatocellular Carcinoma (HCC) in Patients with Advanced Hepatic Fibrosis

PURPOSE OF REVIEW

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death in the United States (U.S.).1 The purpose of this review is to highlight published models that predict development of HCC and estimate risk of HCC recurrence after treatments.

RECENT FINDINGS

There have been several models created for both de novo HCC and HCC recurrence, with the more recent models using a combination of age, sex, decompensation, and laboratory values (platelet count, albumin, bilirubin), and liver disease etiology to predict both 5 and 10-year HCC incidence. For chronic hepatitis C, sustained virologic response has been a useful component of understanding HCC risk reduction. BMI and diabetes have been utilized in non-alcoholic fatty liver disease (NAFLD) models to predict HCC risk. For HCC recurrence after treatment (for both surgical resection and liver transplant), tumor size and number, vascular invasion, alpha-fetoprotein (AFP) and neutrophil to lymphocyte ratio (NLR) are all components of HCC recurrence risk models. Although numerous HCC risk prediction models have been established over the last several years, challenges remain including how to best incorporate these models into clinical practice, improve surveillance for NAFLD-HCC development, and determine timing and duration of post-resection recurrence surveillance.

Validation of Pre-/Post-TACE-Predict Models among Patients with Hepatocellular Carcinoma Receiving Transarterial Chemoembolization

This study attempted to validate the prognostic performance of the proposed Pre- and Post-TACE (transarterial chemoembolization)-Predict models, in comparison with other models for prognostication. One-hundred-and-eighty-seven patients with HCC who underwent TACE were recruited. Regarding overall survival (OS), the predictive performance of the Pre-TACE-Predict model (one-year integrated area under the curve (iAUC) 0.685 (95% confidence interval (CI) 0.593-0.772)) was better than that of the Post-TACE-Predict model (iAUC 0.659 (95% CI 0.580-0.742)). However, there was no significant statistical difference between two models at any time point. For comparison between models using pre-treatment factors, the modified hepatoma arterial embolization prognostic (mHAP)-II model demonstrated significantly better predictive performance at one year (iAUC 0.767 (95% CI 0.683-0.847)) compared with Pre-TACE-Predict. For comparison between models using first TACE response, the SNACOR model was significantly more predictive at one year (iAUC 0.778 (95% CI 0.687-0.866) vs. 0.659 (95% CI 0.580-0.742), respectively) and three years (iAUC 0.707 (95% CI 0.646-0.770) vs. 0.624 (95% CI 0.564-0.688), respectively) than the Post-TACE-Predict model. mHAP-II and SNACOR may be preferred over the Pre- and Post-TACE-Predict models, respectively, considering their similar or better performance and the ease of application.

Recent advances in hepatocellular carcinoma therapeutic strategies and imaging-guided treatment

Hepatocellular carcinoma (HCC) is one of the most common malignant cancer in the world, which greatly threatens human health. However, the routine treatment strategies for HCC have failed to specifically eradicate the tumorigenic cells, leading to the occurrence of metastasis and recurrence. To improve treatment efficacies, the development of novel effective technologies is urgently required. Recently, nanotechnologies have gained the extensive attention in cancer targeted therapy, which could provide a promising way for HCC clinical practice. However, a successful cancer management depends on accurate diagnosis of the tumour along with precise therapeutic protocol, thereby predicting the tumour response to existing therapies. The synergistic effect of targeted therapeutic systems and imaging approaches (also called 'imaging-guided cancer treatment') may establish a more effective platform for individual cancer care. This review outlines the recent advanced nano-targeted and -traceable therapeutic strategies for HCC management. The multifunctional nano agents that have both diagnosis and therapy abilities are highlighted. Finally, we conclude with our perspectives on the future development and challenges of HCC nanotheranostics.

Intraarterial contrast-enhanced ultrasound to predict the short-term tumour response of hepatocellular carcinoma to Transarterial chemoembolization with Lipiodol

BACKGROUND

Transarterial chemoembolization (TACE) is an effective locoregional therapy in hepatocellular carcinoma (HCC). However, it is difficult to predict the tumour response (TR) of TACE intraprocedurally. The aim of this study was to predict the TR after TACE (1-3 months) in HCC patients using intraprocedural intraarterial contrast enhanced ultrasound (IA-CEUS).

METHODS

In this case-control study, consecutive patients who received TACE in our hospital from September 2018 to May 2019 were enrolled. IA-CEUS was performed before and after TACE. Postoperative contrast-enhanced liver MRI was performed 1-3 months after TACE as the gold standard. According to the modified Response Evaluation Criteria in Solid Tumours (mRECIST), ultrasonic manifestations were compared between the complete remission (CR) group and non-CR group by univariate and multivariate analyses. A logistic predictive model was established and validated, and its diagnostic efficiency was evaluated.

RESULTS

Forty-four patients with sixty-one lesions were enrolled in the study. Multivariate analysis identified, the risk factors as a large lesion diameter (OR: 1.84; 95% confidence interval [CI]: 1.009, 3.080; P = 0.020), a larger dimension of non-enhancing area in superior mesenteric artery (SMA)-CEUS than the size in B-mode ultrasound preoperatively (OR: 3.379; 95% CI: 1.346,8.484; P = 0.010), presence of corona enhancement in hepatic artery (HA)-CEUS postoperatively (OR: 6.642; 95% CI: 1.214, 36.331; P = 0.029), and decreased corona enhancement thickness (per centimetre) postoperatively (OR: 0.025; 95% CI: 0.006,0.718; P = 0.025). The area under the receiver operating characteristic curve (AUROC) of the predictive model was 0.904 (95% CI: 0.804, 0.966; P < 0.001). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 81.08, 91.67, 85.25, 93.75, and 75.86%, respectively. Leave-one-out cross-validation (LOOCV) showed that the accuracy was 77.05%.

CONCLUSIONS

Intraprocedural IA-CEUS can be used to predict the TR in HCC patients after TACE.

A novel prognostic nomogram for hepatocellular carcinoma after thermal ablation

It remains impossible to accurately assess the prognosis after thermal ablation in patients with hepatocellular carcinoma (HCC). Our aim was to build a nomogram to predict the survival rate of HCC patients after thermal ablation. We developed and validated a nomogram using data of 959 HCC patients after thermal ablation from two centers. Harrell's concordance index (C-index), calibration plot and Decision curve analysis (DCA) were used to measure the performance of the nomogram, and we compared it with the Barcelona Clinic Liver Cancer (BCLC) staging system and a previous nomogram. Six variables including age, serum albumin, operation method, risk area, tumor number and early recurrence were selected to construct the nomogram. In the training cohort, internal validation cohort, and external validation cohort, the nomogram all had a higher C-index to predict survival rate than both the BCLC staging system and the previous nomogram (0.736, 0.558 and 0.698, respectively; 0.763, 0.621 and 0.740, respectively; and 0.825, 0.551 and 0.737, respectively). Calibration plots showed a high degree of consistency between prediction and actual observation. Decision curve analysis (DCA) presented that compared with BCLC system and the previous nomogram, our nomogram had the highest net benefit. In all three cohorts, the nomogram could accurately divide patients into three subgroups according to predicted survival risk. A nomogram was developed and validated to predict survival of HCC patients who underwent thermal ablation, which is helpful for prognostic prediction and individual surveillance in clinical practice.

Association between Time to Local Tumor Control and Treatment Outcomes Following Repeated Loco-Regional Treatment Session in Patients with Hepatocellular Carcinoma: A Retrospective, Single-Center Study

BACKGROUND

Whether the number of loco-regional treatment sessions and the time required to obtain local tumor control (LTC) affects the prognosis of patients with hepatocellular carcinoma (HCC) remains controversial. This study aimed to determine whether a longer time to LTC is a significant and independent predictor of poor treatment outcomes.

METHODS

In this retrospective study, we analyzed data of 139 treatment-naive patients with HCC who were not eligible for a treatment other than transarterial chemoembolization (TACE) at baseline. The outcome analyses were performed using the Cox proportional hazard model and Kaplan-Meier method, while the overall survival (OS) and progression free survival (PFS) were the primary study endpoints.

RESULTS

Overall, LTC was achieved in 82 (59%) of patients, including 67 (81%) patients who achieved LTC following TACE sessions alone and 15 (19%) subjects required additional ablation session. The median OS did not differ significantly between groups that needed 2, 3, or >3 locoregional treatment sessions to achieve LTC (p = 0.37). Longer time to LTC (in weeks) was significantly associated with shorter OS in univariate analysis (p = 0.04), but not in an adjusted model (p = 0.14). Both univariate and adjusted analyses showed that longer time to reach LTC was significantly associated with shorter PFS (adjusted HR = 1.04, 95% CI 1.001-1.09, p = 0.048).

CONCLUSIONS

These findings show that the longer time to LTC is not an independent predictor of OS, but suggest that PFS may be significantly shorter in patients with longer time to LTC.

Atezolizumab and bevacizumab as first line therapy in advanced hepatocellular carcinoma: Practical considerations in routine clinical practice

Hepatocellular carcinoma (HCC) is the most common primary liver cancer. For advanced HCC, sorafenib was considered the standard of care for more than ten years. Recently the atezolizumab and bevacizumab combination has become standard of care for these patients without contraindications to either immune checkpoint inhibitors or antiangiogenic therapy. We now review the practical aspects of the atezolizumab and bevacizumab combination, including current evidence, indications, contraindications, management of adverse events, sequencing of this combination, areas of current knowledge gaps and future areas of active clinical research of this combination for busy clinicians in clinical practice.

A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation

Objective: The study aims to establish an magnetic resonance imaging radiomics signature-based nomogram for predicting the progression-free survival of intermediate and advanced hepatocellular carcinoma (HCC) patients treated with transcatheter arterial chemoembolization (TACE) plus radiofrequency ablation

Materials and Methods: A total of 113 intermediate and advanced HCC patients treated with TACE and RFA were eligible for this study. Patients were classified into a training cohort (n = 78 cases) and a validation cohort (n = 35 cases). Radiomics features were extracted from contrast-enhanced T1W images by analysis kit software. Dimension reduction was conducted to select optimal features using the least absolute shrinkage and selection operator (LASSO). A rad-score was calculated and used to classify the patients into high-risk and low-risk groups and further integrated into multivariate Cox analysis. Two prediction models based on radiomics signature combined with or without clinical factors and a clinical model based on clinical factors were developed. A nomogram comcined radiomics signature and clinical factors were established and the concordance index (C-index) was used for measuring discrimination ability of the model, calibration curve was used for measuring calibration ability, and decision curve and clinical impact curve are used for measuring clinical utility.

Results: Eight radiomics features were selected by LASSO, and the cut-off of the Rad-score was 1.62. The C-index of the radiomics signature for PFS was 0.646 (95%: 0.582–0.71) in the training cohort and 0.669 (95% CI:0.572–0.766) in validation cohort. The median PFS of the low-risk group [30.4 (95% CI: 19.41–41.38)] months was higher than that of the high-risk group [8.1 (95% CI: 4.41–11.79)] months in the training cohort (log rank test, z = 16.58, p < 0.001) and was verified in the validation cohort. Multivariate Cox analysis showed that BCLC stage [hazard ratio (HR): 2.52, 95% CI: 1.42–4.47, p = 0.002], AFP level (HR: 2.01, 95% CI: 1.01–3.99 p = 0.046), time interval (HR: 0.48, 95% CI: 0.26–0.87, p = 0.016) and radiomics signature (HR 2.98, 95% CI: 1.60–5.51, p = 0.001) were independent prognostic factors of PFS in the training cohort. The C-index of the combined model in the training cohort was higher than that of clinical model for PFS prediction [0.722 (95% CI: 0.657–0.786) vs. 0.669 (95% CI: 0.657–0.786), p＜0.001]. Similarly, The C-index of the combined model in the validation cohort, was higher than that of clinical model [0.821 (95% CI: 0.726–0.915) vs. 0.76 (95% CI: 0.667–0.851), p = 0.004]. The calibration curve, decision curve and clinical impact curve showed that the nomogram can be used to accurately predict the PFS of patients.

Conclusion: The radiomics signature was a prognostic risk factor, and a nomogram combined radiomics and clinical factors acts as a new strategy for predicted the PFS of intermediate and advanced HCC treated with TACE plus RFA.

Immune Responses Following Locoregional Treatment for Hepatocellular Carcinoma: Possible Roles of Adjuvant Immunotherapy

Hepatocellular carcinoma (HCC) is a common cause of cancer-related deaths worldwide. Unlike other types of cancer, HCC can be treated with locoregional treatments (LRTs) such as radiofrequency ablation (RFA) or transarterial chemoembolization (TACE). However, recurrences following LRTs are common, and strategies to improve long-term outcomes need to be developed. The exhaustion of anti-tumor immunity in HCC has been well established in many reports and the immunomodulatory effects of LRTs (enhancement of tumor antigen-specific T cell responses after RFA, reduction of effector regulatory T cells after TACE) have also been reported in several previous studies. However, a comprehensive review of previous studies and the possible roles of immunotherapy following LRTs in HCC are not known. In this review, we discuss the immunological evidence of current clinical trials using LRTs and combined immunotherapies, and the possible role of this strategy.

Chemoembolization for Single Large Hepatocellular Carcinoma with Preserved Liver Function: Analysis of Factors Predicting Clinical Outcomes in a 302 Patient Cohort

The purpose of this study was to define the role of transcatheter arterial chemoembolization (TACE) in patients with a single large hepatocellular carcinoma (HCC) and define the patient groups benefiting from TACE. Treatment-naïve patients with preserved liver function who received TACE as the first-line treatment for single large (>5 cm) HCC without macrovascular invasion and extrahepatic metastasis between 2007 and 2019 were retrospectively analyzed. Overall survival, progression-free survival, radiologic tumor response, complications, and predictors of survival were analyzed using multivariate analysis, and then a pretreatment risk-prediction model was created using the four predictive factors of tumor size, tumor type, ALBI grade, and ECOG performance status. Patients with scores of 0 (n = 54), 1-2 (n = 170), and 3-6 (n = 78) according to the model were classified as low-, intermediate-, and high-risk, respectively. The corresponding median OS values were 141, 55, and 28 months, respectively. The percentage of major complications increased as tumor size increased (4-21%). Asymptomatic, nodular HCC patients with a tumor size of 5-7 cm and ALBI grade 1 benefited the most from TACE. By contrast, the value of TACE in the treatment of single huge HCC (>10 cm) with high complication rates remains unclear.

Redefining Tumor Burden in Patients with Intermediate-Stage Hepatocellular Carcinoma: The Seven-Eleven Criteria

BACKGROUND AND AIMS

For patients with intermediate-stage hepatocellular carcinoma (HCC), the definition of high tumor burden remains controversial. This study aimed to compare the prognostic value of different criteria of tumor burden in patients with intermediate-stage HCC undergoing transarterial chemoembolization (TACE).

METHODS

From 2007 to 2019, 632 treatment-naive patients with intermediate-stage HCC undergoing TACE were retrospectively enrolled. We compared different criteria of tumor burden in discriminating radiologic response and survival, including up-to-7, up-to-11, 5-7, 7 lesions criteria, and newly proposed 7-11 criteria.

RESULTS

The proportions of patients classified as high tumor burden were varied by different criteria. Among the 5 criteria, 7-11 criteria have the best performance to discriminate complete response (CR) and overall survival (OS) after TACE. In patients with low, intermediate, and high tumor burden classified by 7-11 criteria, the CR rate was 21, 12, and 2.5%, respectively (p < 0.001), and the median OS was 33.1, 22.3, and 11.9 months, respectively (p < 0.001). By multivariate analysis, 7-11 criteria were significantly associated with CR (intermediate vs. high burden, odds ratio = 4.617, p = 0.002; low vs. high burden, odds ratio = 8.675, p < 0.001) and OS (intermediate vs. high burden, hazard ratio = 0.650, p < 0.001; low vs. high burden, hazard ratio = 0.520, p < 0.001). Seven to 11 criteria also had the lowest corrected Akaike information criteria, highest homogeneity value, and highest area under the receiver operating characteristic curve in predicting 1-, 2-, and 3-year mortality among all criteria.

CONCLUSION

Conventional definitions of tumor burden were not optimal for patients with intermediate HCC. The new 7-11 criteria had the best discriminative power in predicting radiologic response and survival in patients with intermediate-stage HCC undergoing TACE.

Prediction of Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization: A Real-World Study Based on Non-Contrast Computed Tomography Radiomics and General Image Features

Objective

To construct a predictive model of short-term response and overall survival for transcatheter arterial chemoembolization (TACE) treatment in hepatocellular carcinoma (HCC) patients based on non-contrast computed tomography (NC-CT) radiomics and clinical features.

Methods

Ninety-four HCC patients who underwent CT scanning 1 week before the first TACE treatment were retrospectively recruited and divided randomly into a training group (n = 47) and a validation group (n = 47). NC-CT radiomics data were extracted using MaZda software, and the compound model was calculated from radiomics and clinical features by logistic regression. The performance of the different models was compared by examining the area under the receiver operating characteristic curve (AUC). The prediction of prognosis was evaluated using survival analysis.

Results

Thirty NC-CT radiomic features were extracted and analyzed. The compound model was formed using four NC-CT run-length matrix (RLM) features and general image features, which included the maximum diameter (cm) of the tumor and the number of tumors (n). The AUCs of the model for TACE response were 0.840 and 0.815, whereas the AUCs of the six-and-twelve grade were 0.754 and 0.750 in the training and validation groups, respectively. HCC patients were divided into two groups using the cutoff value of the model: a group in which the TACE-response led to good survival and a group in which TACE-nonresponse caused poor prognosis.

Conclusion

Radiomic features from NC-CT predicted TACE-response. The compound model generated by NC-CT radiomics and clinical features is effective and directly predicts TACE-response and overall survival. The model may be used repeatedly and is easy to operate.

Expected outcomes and patients’ selection before chemoembolization—“Six-and-Twelve or Pre-TACE-Predict” scores may help clinicians: Real-life French cohorts results

BACKGROUND

Careful selection of hepatocellular carcinoma (HCC) patients prior to chemoembolization treatment is a daily reality, and is even more necessary with new available therapeutic options in HCC.

AIM

To propose two new models to better stratify patients and maximize clinical benefit: “6 and 12” and “pre/post-TACE-predict” (TACE, transarterial chemoembolization).

METHODS

We evaluated and compared their performance in predicting overall survival with other systems {Barcelona Clinic Liver Cancer (BCLC), Albumin-Bilirubin (ALBI) and NIACE [Number of tumor(s), Infiltrative HCC, alpha-fetoprotein, Child-Pugh (CP), and performance status]} in two HCC French cohorts of different stages enrolled between 2010 and 2018.

RESULTS

The cohorts included 324 patients classified as BCLC stages A/B (cohort 1) and 137 patients classified as BCLC stages B/C (cohort 2). The majority of the patients had cirrhosis with preserved liver function. “Pre-TACE-predict” and “6 and 12” models identified three distinct categories of patients exhibiting different prognosis in cohort 1. However, their prognostic value was no better than the BCLC system or NIACE score. Liver function based on CP and ALBI grades significantly impacted patient survival. Conversely, the “post-TACE-predict” model had a higher predictive value than other models. The stratification ability as well as predictive performance of these new models in an intermediate/advanced stage population was less efficient (cohort 2).

CONCLUSION

The newly proposed “Pre-TACE-predict” and “6 and 12” models offer an interesting stratification into three categories in a recommended TACE population, as they identify poor candidates, those with partial control and durable response. The models' contribution was reduced in a population with advanced stage HCCs.

Evaluation of the Benefits of TACE Combined with Sorafenib for Hepatocellular Carcinoma Based on Untreatable TACE (unTACEable) Progression

Purpose

Outcomes after the treatment for unresectable or advanced-stage hepatocellular carcinoma (HCC) are unsatisfied. We evaluated the therapeutic benefits of a combination therapy strategy for these patients through transarterial chemoembolization (TACE) plus sorafenib.

Patients and Methods

In total, 85 patients with HCC classified as intermediate and advanced stage from June 2012 to November 2017 were retrospectively investigated. We divided patients into the monotherapy (n=43; TACE alone) and combined therapy (n=42; TACE plus sorafenib) groups.

Results

Compared with the TACE alone group, the TACE plus sorafenib experienced significantly prolonged progression-free survival (PFS) (mean 21 months vs 12 months; P = 0.0005) and overall survival (OS) (mean 32 months vs 21 months; P = 0.0157). The disease control rate (DCR) of TACE plus sorafenib group was 80.95%, which was significantly increased than the TACE alone group (55.81%) (P<0.05), as well as objective response rate (ORR) (23.81% vs 16.28%). Besides, the rates of liver-related AEs and liver failure in the TACE plus sorafenib group were not increased in contrast to TACE alone group, and there were no new safety concerns. To sum up, the superiority of combination therapy with significantly prolonging progression-free and overall survival was observed, meanwhile finding a significant increase in tumor response rate and manageable safety in the combined therapy in contrast to the monotherapy group.

Conclusion

Based on unTACEble progression, the superiority of the combination therapy is that TACE plus sorafenib has been bringing about significantly better outcomes compared with TACE alone for HCC patients.

Current Strategies to Identify Patients That Will Benefit from TACE Treatment and Future Directions a Practical Step-by-Step Guide

Treatment of hepatocellular carcinoma (HCC) depends on the stage of disease. In the Western Hemisphere, the Barcelona Clinic Liver Cancer classification (BCLC) is the preferred staging system. Approximately one-third of patients initially present with intermediate-stage disease. For these patients, transarterial chemoembolization (TACE) is the treatment of choice. However, the intermediate-stage comprises a heterogeneous subgroup of patients with considerable differences in tumor burden and liver function. In addition, differences in individual factors that are not captured by the BCLC framework, such as the tumor growth pattern, degree of hypervascularity, and vascular supply, complicate further evaluation of these patients. Due to these differences, not all patients benefit equally from TACE. Several tools and scoring systems have been devised to provide decision-making support. All of these have shown promising initial results but failed external evaluation and have not been translated to the clinic. Nevertheless, criteria for objectifying treatment decisions in daily clinical practice are needed in all stages of disease. Therefore, this review provides a concise practical step-by-step guide on current strategies for patient selection and decision-making, with a focus on TACE, to critically evaluate the existing decision-support tools and provide a summary of the latest updates in the field.

Advances in systemic therapy for the first-line treatment of unresectable HCC

Introduction: Hepatocellular carcinoma (HCC) is one of the most common and deadliest cancers worldwide. In recent years, several drugs have been approved in first- and second-line setting. Currently, several phase-III trials are ongoing with combinations of checkpoint inhibitors, tyrosine kinase inhibitors (TKI) and anti-angiogenic antibodies, which will most likely increase therapeutic options in frontline therapy in the near future.Areas covered: This review summarizes the standard of care in first-line systemic therapy for patients with advanced HCC and provides an outlook on the most promising combinations currently tested in prospective trials.Expert opinion: The recent approval of novel substances has substantially changed the field of palliative treatment strategies in patients with advanced HCC. Immuno-oncology (IO)-based combination therapies will become the next standard of care in frontline HCC. The potent anti-tumor efficacy and good tolerability of these therapies will increase the use of upfront systemic therapy in patients with intermediate stage HCC.

Locoregional therapies in the era of molecular and immune treatments for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related mortality and has an increasing incidence worldwide. Locoregional therapies, defined as imaging-guided liver tumour-directed procedures, play a leading part in the management of 50-60% of HCCs. Radiofrequency is the mainstay for local ablation at early stages and transarterial chemoembolization (TACE) remains the standard treatment for intermediate-stage HCC. Other local ablative techniques (microwave ablation, cryoablation and irreversible electroporation) or locoregional therapies (for example, radioembolization and sterotactic body radiation therapy) have been explored, but have not yet modified the standard therapies established decades ago. This understanding is currently changing, and several drugs have been approved for the management of advanced HCC. Molecular therapies dominate the adjuvant trials after curative therapies and combination strategies with TACE for intermediate stages. The rationale for these combinations is sound. Local therapies induce antigen and proinflammatory cytokine release, whereas VEGF inhibitors and tyrosine kinase inhibitors boost immunity and prime tumours for checkpoint inhibition. In this Review, we analyse data from randomized and uncontrolled studies reported with ablative and locoregional techniques and examine the expected effects of combinations with systemic treatments. We also discuss trial design and benchmarks to be used as a reference for future investigations in the dawn of a promising new era for HCC treatment.

Combination of Sorafenib and Transarterial Chemoembolization in Selected Patients with Advanced-Stage Hepatocellular Carcinoma: A Retrospective Cohort Study at Three German Liver Centers

BACKGROUND AND AIMS

Systemic treatment with sorafenib has been the standard of care (SOC) in patients with advanced Barcelona Clinic Liver Cancer (BCLC) stage C hepatocellular carcinoma (HCC) for more than a decade. TACE has been reported to allow better local tumor control in selected patients with BCLC stage C HCC.

METHODS

A retrospective analysis of patients with BCLC stage C HCC that were treated with sorafenib and TACE was conducted; they were compared to BCLC stage C patients treated either with TACE or sorafenib in the same period of time outside a clinical trial.

RESULTS

A total of 201 patients with BCLC stage C were identified, who were treated with either sorafenib and TACE (group A; n = 54), sorafenib (group B; n = 82) or TACE (group C; n = 65). No significant difference in baseline characteristics was observed. Time to progression was 7.0 months (95% CI: 4.3-9.7), 4.1 months (95% CI: 3.6-4.7) and 5.0 months (95% CI: 2.9-7.1) in groups A, B and C, respectively, and overall survival was 16.5 months (95% CI: 15.0-18.1), 8.4 months (95% CI: 6.0-10.8) and 10.5 months (95% CI: 7.5-13.6), respectively (group A vs. group B: p < 0.001; group A vs. group C: p = 0.0023). Adverse events of grade 3/4 occurred in 34% of patients in group A.

CONCLUSIONS

Although sorafenib is a SOC in patients with BCLC stage C HCC, TACE is frequently used as an additional locoregional treatment in selected patients. This combined approach resulted in a significant overall survival benefit in selected patients, although randomized trials have not yet proven this benefit.

Enhanced Embolization Efficacy with the Embolic Microspheres Guided by the Aggregate Gradation Theory Through In Vitro and Simulation Evaluation

PURPOSE

Size of the embolic microspheres is of critical importance in the transcatheter arterial chemoembolization (TACE) of hepatocellular carcinoma (HCC) to achieve the optimal embolization therapy. In this regard, to optimize the size distribution of the embolic microspheres and enhance the embolization efficacy, the aggregate gradation theory is used to formulate the microspheres.

METHODS

Finite element analysis (FEA) and in vitro experiments confirmed a better embolic efficacy for the poly(vinyl alcohol) (PVA) microspheres formulated according to the aggregate gradation theory.

RESULTS

The average volume flow of the graded group was 1.31 × 10^-4 mL/s in vitro experiment, which was lowest among all the groups suggesting the graded group had the optimal embolic effect. The graded group has the largest pressure gradient of 314.22 Pa/μm in FEA among all the groups, which can be attributed to the highest packing density of the graded group compared with other groups.

CONCLUSIONS

The graded embolic microspheres have a larger drag coefficient compared with the narrow size distribution groups both in vitro experiment and FEA. These findings can be used to formulate the embolic agents with optimal size distributions and are significant for the improvement of clinical embolization therapy.

Performance of initial LI-RADS 2018 treatment response in predicting survival of patients with hepatocellular carcinoma following TACE: a retrospective, single-center cohort study

Purpose

Treatment response following transarterial chemoembolization (TACE) is frequently evaluated with Liver Imaging Reporting and Data System Treatment Response (LR-TR) algorithm, but its association with patients’ outcomes is not supported in the literature. The purpose of this study was to provide such data.

Methods

A retrospective analysis of 99 TACE patients with stage A/B hepatocellular carcinoma according to Barcelona-Clinic Liver Cancer staging system was performed. Two radiologists assessed LR-TR, while a third radiologist re-assessed divergent results. Overall survival (OS) and time to disease progression (TTP) were the primary endpoints of the study, while the Cox proportional hazard model was used for outcome analyses.

Results

Interobserver agreement was substantial between the two readers with κ = 0.69 (95% CI 0.58–0.81). The median OS in viable, equivocal, and non-viable groups were 27, 27, and 73 months, respectively (p < 0.001). However, after adjustment for confounding factors, there was no significant association between initial viable response and OS (HR 0.98 [95% CI 0.37–2.63], p = 0.97), while equivocal response remained statistically significant (HR 3.52. [95% CI 1.27–9.71], p = 0.015). No significant association was noted when viable and equivocal groups were analyzed in aggregate (HR 1.03 [95% CI 0.4–2.4], p = 0.96). The median TTP did not differ between non-viable and viable groups (23 vs 18 months, respectively; p = 0.98). None of the analyzed predictors was associated with TTP.

Conclusion

Initial LR-TR response was not an independent predictor for OS nor TTP. The preliminary results suggest the necessity for more aggressive management of equivocal patients.

[State of the art in the diagnostics of hepatocellular carcinoma and current treatment options]

Hepatocellular carcinoma (HCC) is the most frequent primary hepatic malignancy and arises most often based on liver cirrhosis. Of the HCC 80-85% demonstrate a typical contrast medium behavior in imaging, characterized by arterial hypervascularization followed by wash-out in the portal or late venous phase. This specific contrast behavior is diagnostic for HCC in patients at risk. The use of liver-specific contrast agents increases the sensitivity for diagnosis of HCC and can facilitate the differentiation from other liver lesions. At initial diagnosis approximately 50% of HCC are solitary, 40% multifocal and 10% diffuse. Depending on the tumor extent and stage, therapeutic options in patients with HCC include local treatment (resection, ablation, radiation, liver transplantation), locoregional measures (transarterial chemoembolization, selective internal radiotherapy) or systemic therapy (including immunotherapy), either as a stand-alone procedure or in various combinations.

Clinical-Radiomic Analysis for Pretreatment Prediction of Objective Response to First Transarterial Chemoembolization in Hepatocellular Carcinoma

BACKGROUND

The preoperative selection of patients with intermediate-stage hepatocellular carcinoma (HCC) who are likely to have an objective response to first transarterial chemoembolization (TACE) remains challenging.

OBJECTIVE

To develop and validate a clinical-radiomic model (CR model) for preoperatively predicting treatment response to first TACE in patients with intermediate-stage HCC.

METHODS

A total of 595 patients with intermediate-stage HCC were included in this retrospective study. A tumoral and peritumoral (10 mm) radiomic signature (TPR-signature) was constructed based on 3,404 radiomic features from 4 regions of interest. A predictive CR model based on TPR-signature and clinical factors was developed using multivariate logistic regression. Calibration curves and area under the receiver operating characteristic curves (AUCs) were used to evaluate the model's performance.

RESULTS

The final CR model consisted of 5 independent predictors, including TPR-signature (p < 0.001), AFP (p = 0.004), Barcelona Clinic Liver Cancer System Stage B (BCLC B) subclassification (p = 0.01), tumor location (p = 0.039), and arterial hyperenhancement (p = 0.050). The internal and external validation results demonstrated the high-performance level of this model, with internal and external AUCs of 0.94 and 0.90, respectively. In addition, the predicted objective response via the CR model was associated with improved survival in the external validation cohort (hazard ratio: 2.43; 95% confidence interval: 1.60-3.69; p < 0.001). The predicted treatment response also allowed for significant discrimination between the Kaplan-Meier curves of each BCLC B subclassification.

CONCLUSIONS

The CR model had an excellent performance in predicting the first TACE response in patients with intermediate-stage HCC and could provide a robust predictive tool to assist with the selection of patients for TACE.

Nanotechnology for Hepatocellular Carcinoma: From Surveillance, Diagnosis to Management

Hepatocellular carcinoma (HCC) remains the fourth leading cause of cancer-related death worldwide. However, the clinical diagnosis and treatment modalities are still relatively limited, which urgently require the development of new effective technologies. Recently, nanotechnology has gained extensive attention in HCC surveillance, imaging and pathological diagnosis, and therapeutic strategies. Typically, nanomedicines have been focused on early HCC diagnosis and precise treatment of advanced HCC, which has developed and improved a variety of new technologies and agents for future clinical practice. Furthermore, strategies of facilitating drug release and delivery in current treatment processes such as ablation, systematic therapy, transcatheter arterial chemoembolization, molecular targeted therapy, and immune-modulating therapy have also been studied widely. This review summarizes the recent advances in this area according to current clinical HCC guidelines: 1) Nanoparticle-based HCC surveillance; 2) Nanotechnology for HCC diagnosis; 3) Therapeutic advances for HCC Management; 4) Limitations of applications in nanotechnology for HCC; 5) Conclusions and perspectives. Although there are still many limitations and difficulties to overcome, the investigations of nanomedicines are believed to show potential applications in clinical practice.

Prognostic Value of Alpha-Fetoprotein in Patients Who Achieve a Complete Response to Transarterial Chemoembolization for Hepatocellular Carcinoma

PURPOSE

Alpha-fetoprotein (AFP) is a prognostic marker for hepatocellular carcinoma (HCC). We investigated the prognostic value of AFP levels in patients who achieved complete response (CR) to transarterial chemoembolization (TACE) for HCC.

MATERIALS AND METHODS

Between 2005 and 2018, 890 patients with HCC who achieved a CR to TACE were recruited. An AFP responder was defined as a patient who showed elevated levels of AFP (>10 ng/mL) during TACE, but showed normalization or a >50% reduction in AFP levels after achieving a CR.

RESULTS

Among the recruited patients, 569 (63.9%) with naïve HCC and 321 (36.1%) with recurrent HCC after complete resection were treated. Before TACE, 305 (34.3%) patients had multiple tumors, 219 (24.6%) had a maximal tumor size >3 cm, and 22 (2.5%) had portal vein tumor thrombosis. The median AFP level after achieving a CR was 6.36 ng/mL. After a CR, 473 (53.1%) patients experienced recurrence, and 417 (46.9%) died [median progression-free survival (PFS) and overall survival (OS) of 16.3 and 62.8 months, respectively]. High AFP levels at CR (>20 ng/mL) were independently associated with a shorter PFS [hazard ratio (HR)=1.403] and OS (HR=1.284), together with tumor multiplicity at TACE (HR=1.518 and 1.666, respectively). AFP non-responders at CR (76.2%, n=359 of 471) showed a shorter PFS (median 10.5 months vs. 15.5 months, HR=1.375) and OS (median 41.4 months vs. 61.8 months, HR=1.424) than AFP responders (all p=0.001).

CONCLUSION

High AFP levels and AFP non-responders were independently associated with poor outcomes after TACE. AFP holds clinical implications for detailed risk stratification upon achieving a CR after TACE.

Systemic therapy of advanced hepatocellular carcinoma

For a decade, sorafenib remained the only approved first-line treatment and standard of care for advanced hepatocellular carcinoma. The treatment landscape has been evolving rapidly over the past 2 years with the approval of additional first-and second-line systemic treatments, most of which are targeted therapies. The expected approval of immunotherapies constitutes a paradigm shift: for the first time in years, a checkpoint inhibitor in combination with a VEGF antibody recently outperformed sorafenib with regards to efficacy. The wider availability of systemic therapies increases the chance for longer overall survival but raises new questions concerning the role of local options, treatment choice and sequential treatment. Following an expert discussion at the German Cancer Congress 2020 in Berlin, this article aims to summarize the current evidence on and experience of treatment choice and sequence in first- and second-line therapy.

Initial treatment response to transarterial chemoembolization as a predictive factor for Child-Pugh class deterioration prior to refractoriness in hepatocellular carcinoma

AIM

Repeated transarterial chemoembolization (TACE) for intermediate-stage hepatocellular carcinoma (HCC) eventually leads to either deteriorated hepatic reserve or TACE refractoriness. Switching to molecular targeted agents after TACE requires preservation of hepatic reserve. This study aimed to investigate the predictive factors associated with early deterioration of hepatic reserve by repeated TACE prior to refractoriness.

METHODS

Ninety-three patients with intermediate-stage HCC who underwent TACE as the first-line treatment and had a Child-Pugh class A hepatic reserve were retrospectively analyzed. The time to Child-Pugh class deterioration (TTCPD), defined as the duration from initial TACE to the diagnosis of Child-Pugh class B or C prior to TACE refractoriness, was assessed. Patients who progressed to TACE refractoriness prior to Child-Pugh class deterioration were censored at TACE refractoriness.

RESULTS

The radiological response to initial TACE was assessed as responders and non-responders in 59 (63.4%) and 34 (36.6%) patients, respectively. The median TTCPD was 40.6 months in all patients. The hepatic reserve in 31 (33.3%) patients deteriorated to Child-Pugh class B or C prior to TACE refractoriness. In the multivariate analysis, non-response to initial TACE, albumin-bilirubin grade 2, and non-selective TACE were identified as independent predictors associated with a shortened TTCPD. The TTCPD was significantly shorter in the non-responders than in the responders to initial TACE (median, 19.6 vs. 55.9 months; P < 0.001).

CONCLUSIONS

Failure to respond to initial TACE was a predictive factor for early deterioration of hepatic reserve prior to TACE refractoriness in intermediate-stage HCC patients with repeated TACE.

Recent Updates of Transarterial Chemoembolilzation in Hepatocellular Carcinoma

Transarterial chemoembolization (TACE) is a standard treatment for intermediate-stage hepatocellular carcinoma (HCC). In this review, we summarize recent updates on the use of TACE for HCC. TACE can be performed using two techniques; conventional TACE (cTACE) and drug-eluting beads using TACE (DEB-TACE). The anti-tumor effect of the two has been reported to be similar; however, DEB-TACE carries a higher risk of hepatic artery and biliary injuries and a relatively lower risk of post-procedural pain than cTACE. TACE can be used for early stage HCC if other curative treatments are not feasible or as a neoadjuvant treatment before liver transplantation. TACE can also be considered for selected patients with limited portal vein thrombosis and preserved liver function. When deciding to repeat TACE, the ART (Assessment for Retreatment with TACE) score and ABCR (AFP, BCLC, Child-Pugh, and Response) score can guide the decision process, and TACE refractoriness needs to be considered. Studies on the combination therapy of TACE with other treatment modalities, such as local ablation, radiation therapy, or systemic therapy, have been actively conducted and are still ongoing. Recently, new prognostic models, including analysis of the neutrophil-lymphocyte ratio, radiomics, and deep learning, have been developed to help predict survival after TACE.

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib

Objectives

To develop and validate a deep learning-based overall survival (OS) prediction model in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) plus sorafenib.

Methods

This retrospective multicenter study consisted of 201 patients with treatment-naïve, unresectable HCC who were treated with TACE plus sorafenib. Data from 120 patients were used as the training set for model development. A deep learning signature was constructed using the deep image features from preoperative contrast-enhanced computed tomography images. An integrated nomogram was built using Cox regression by combining the deep learning signature and clinical features. The deep learning signature and nomograms were also externally validated in an independent validation set of 81 patients. C-index was used to evaluate the performance of OS prediction.

Results

The median OS of the entire set was 19.2 months and no significant difference was found between the training and validation cohort (18.6 months vs. 19.5 months, P = 0.45). The deep learning signature achieved good prediction performance with a C-index of 0.717 in the training set and 0.714 in the validation set. The integrated nomogram showed significantly better prediction performance than the clinical nomogram in the training set (0.739 vs. 0.664, P = 0.002) and validation set (0.730 vs. 0.679, P = 0.023).

Conclusion

The deep learning signature provided significant added value to clinical features in the development of an integrated nomogram which may act as a potential tool for individual prognosis prediction and identifying HCC patients who may benefit from the combination therapy of TACE plus sorafenib.

Prognosis Nomogram for Hepatocellular Carcinoma Patients with Portal Vein Invasion Undergoing Transarterial Chemoembolization Plus Sorafenib Treatment: A Retrospective Multicentre Study

OBJECTIVES

To explore the outcomes of combined transarterial chemoembolization (TACE) with sorafenib in hepatocellular carcinoma (HCC) patients with portal vein tumour thrombus (PVTT) and to establish a prognostic prediction nomogram to differentiate target patients and stratify risk.

MATERIALS AND METHODS

This multicentre, retrospective study consisted of 185 consecutive treatment-naïve patients with HCC and PVTT treated with TACE plus sorafenib from three institutions between January 1st, 2012 and December 31st, 2017. The primary outcome measurement of the study was overall survival (OS). The type of PVTT was classified by the Liver Cancer Study Group of Japan. The prognostic nomogram was established based on the predictors and was performed with interval validation.

RESULTS

The median OS of the Vp1-3 and Vp4 groups was 12.4 months (11.7-18.9) and 8.5 months (7.6-11.2) (P = 0.00098), respectively, and there was a significant difference in the median OS between the Vp1-2 and Vp3 subgroups (16.4 months (12.2-27.9) vs. 10.9 months (8.4-18.1), P = 0.041). The multivariate Cox regression analysis suggested that tumour size, albumin-bilirubin grade, and PVTT type were independent prognostic factors. The C-index value of the nomogram based on these predictors in the entire cohort was 0.731 (0.628-0.833).

CONCLUSIONS

After the combined therapy of TACE and sorafenib, advanced HCC patients with segmental or subsegmental PVTT showed better survival than those with main PVTT. The nomogram can be applied to identify advanced HCC patients with PVTT who may benefit most from the combination treatment and be helpful for making decision in clinical practice.

[Immuno-oncology : No longer a need for interventional radiology?]

CLINICAL ISSUE

Hepatocellular carcinoma (HCC) is associated with a high mortality rate.

STANDARD TREATMENT

For many years, sorafenib was the only, and frequently poorly tolerated systemic treatment option, which lead to the unreflected recurrent use of locoregional treatment modalities, such as transarterial chemoembolization (TACE).

INNOVATIONS

Based on recent positive phase III trial results, we now have three systemic therapeutic options available in the first and second line of treatment, respectively. This development enables us to design sequential treatments concepts for patients with advanced HCC.

DIAGNOSTIC WORK-UP

Beyond the assessment of tumor burden, the liver function of HCC patients needs to be closely monitored under therapy.

PERFORMANCE

High response rates, including complete remissions have been documented for immuno-oncology-based combination regimens in HCC patients. Already today, a median overall survival (mOS) above 20 months can been achieved through the sequential application of systemic therapies in phase II studies in patients with advanced HCC and preserved liver function.

ACHIEVEMENTS

Local therapies will remain an integral component of HCC therapy. However, recent advancements will shift the focus towards systemic treatment concepts.

PRACTICAL RECOMMENDATIONS

The rigorous implementation of validated scoring systems can contribute towards an improved selection of patients that are suited to locoregional therapies. Longitudinal monitoring of liver function is fundamental to ensure that the optimal point in time for a switch towards systemic therapies is not missed.

Neutrophil to lymphocyte ratio and albumin bilirubin grade in hepatocellular carcinoma: A systematic review

BACKGROUND

Hepatocellular carcinoma (HCC) is a frequent cause of cancer related death globally. Neutrophil to lymphocyte ratio (NLR) and albumin bilirubin (ALBI) grade are emerging prognostic indicators in HCC.

AIM

To study published literature of NLR and ALBI over the last five years, and to validate NLR and ALBI locally in our centre as indicators of HCC survival.

METHODS

A systematic review of the published literature on PubMed of NLR and ALBI in HCC over the last five years. The search followed the guidelines of the preferred reporting items for systematic reviews and meta-analyses. Additionally, we also investigated HCC cases between December 2013 and December 2018 in our centre.

RESULTS

There were 54 studies describing the relation between HCC and NLR and 95 studies describing the relation between HCC and ALBI grade over the last five years. Our local cohort of patients showed NLR to have a significant negative relationship to survival (P = 0.011). There was also significant inverse relationship between the size of the largest HCC nodule and survival (P = 0.009). Median survival with alpha fetoprotein (AFP) < 10 KU/L was 20 mo and with AFP > 10 KU/L was 5 mo. We found that AFP was inversely related to survival, this relationship was not statically significant (P = 0.132). Mean survival for ALBI grade 1 was 37.7 mo, ALBI grade 2 was 13.4 months and ALBI grade 3 was 4.5 mo. ALBI grades performed better than Child Turcotte Pugh score in detecting death from HCC.

CONCLUSION

NLR and ALBI grade in HCC predict survival better than the conventional alpha fetoprotein. ALBI grade performs better than Child Turcotte Pugh score. These markers are done as part of routine clinical care and in cases of normal alpha fetoprotein, these markers could give a better understanding of the patient disease progression. NLR and ALBI grade could have a role in modified easier to learn staging and prognostic systems for HCC.

Neoadjuvant therapy and immunotherapy strategies for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common cancers with high mortality rate worldwide. Due to aggressive and invasive characteristics of HCC, poor prognosis is often displayed at advanced stages while therapeutic options are limited. Liver resection is still an essential curative-intent treatment in HCC management, while locoregional and systematic therapies made promising advances that may improve the proportion and outcomes of patients who are surgical candidates. In this review, we discussed status of currently available neoadjuvant treatments aimed at improving resectability and reducing recurrence rates. More than ever, in order to implement this therapeutic concepts and exploit the full potential of neoadjuvant treatment strategies, it is of utmost importance to use more high-level evidence to guide treatment decision making. Unfortunately, the use of preoperative treatments is not sponsored by tough evidence and consensus guidelines are absent.

Prognostic role of alpha-fetoprotein in patients with hepatocellular carcinoma treated with repeat transarterial chemoembolisation

BACKGROUND

Repeat transarterial chemoembolisation (rTACE) is often required for hepatocellular carcinoma (HCC) to achieve disease control, however, current practice guidelines regarding treatment allocation vary significantly. This study aims to identify key factors associated with patient survival following rTACE to facilitate treatment allocation and prognostic discussion.

METHOD

Patients with HCC undergoing rTACE at six Australian tertiary centers from 2009 to 2014 were included. Variables encompassing clinical, tumour, treatment type and response factors were analysed against the primary outcome of overall survival. Univariate analysis and multivariate Cox regression modelling were used to identify factors pre- and post-TACE therapy significantly associated with survival.

RESULTS

Total of 292 consecutive patients underwent rTACE with mainly Child Pugh A cirrhosis (61%) and BCLC stage A (57%) disease. Median overall survival (OS) was 30 months (IQR 15.2-50.2) from initial TACE. On multivariate analysis greater tumour number (p = 0.02), higher serum bilirubin (p = 0.007) post initial TACE, and hepatic decompensation (p = 0.001) post second TACE were associated with reduced survival. Patients with serum AFP ≥ 200 ng/ml following initial TACE had lower survival (p = 0.001), compared to patients with serum AFP level that remained < 200 ng/ml post-initial TACE, with an overall survival of 19.4 months versus 34.7 months (p = 0.0001) respectively.

CONCLUSION

Serum AFP level following initial treatment in patients undergoing repeat TACE for HCC is a simple and useful clinical prognostic marker. Moreover, it has the potential to facilitate appropriate patient selection for rTACE particularly when used in conjunction with baseline tumour burden and severity of hepatic dysfunction post-initial TACE.

[Locoregional and local ablative treatment options for liver tumors]

Interventional radiology offers a large variety of locoregional and local ablative treatment options for liver tumors. These can be applied as stand-alone minimally invasive procedures or in combination with other treatment options and with curative as well as palliative intent depending on the respective tumor stage. This review article presents the various locoregional and local ablative treatment techniques and describes the clinical value in the treatment of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.