Predictive performance of the mHAP-II score in a real-life western cohort with hepatocellular carcinoma following trans-arterial chemoembolisation with drug-eluting beads (DEB-TACE)

Systemic Inflammation-Based Staging System for Hepatocellular Carcinoma After Drug-Eluting Beads Transarterial Chemoembolization: A Multicenter Study

RATIONALE AND OBJECTIVES

The optimal prognostic assessment for patients with hepatocellular carcinoma (HCC) after drug-eluting bead transarterial chemoembolization (DEB-TACE) remains unclear. This study aimed to propose a novel staging system in comparison with the current staging systems for HCC following DEB-TACE.

MATERIALS AND METHODS

From four centers, patients with HCC undergoing DEB-TACE as the initial therapy were retrospectively included and classified into training and validation sets. Multivariable regression was used to determine the independent prognostic factors in the training set. A novel staging system incorporating the independent factors was proposed and externally validated in terms of discrimination and calibration compared to other staging systems in both sets.

RESULTS

The training and validation sets included 335 and 99 patients, respectively. Multivariable regression revealed independent factors including alpha-fetoprotein level, aspartate aminotransferase to lymphocyte count ratio index, maximum tumor diameter, Child-Pugh class, and portal vein invasion. The novel prognostic staging system, named PADCA, was proposed and outperformed other staging systems with the highest C-index, area under the curve, Wald test value, clinical benefit, and the lowest Akaike information criterion in the training and validation sets.

CONCLUSION

The PADCA staging system has a superior prognostic predictive ability compared to the current staging systems. PADCA can assist clinicians in screening out the patients most likely to derive benefit from DEB-TACE and guiding the formulation of therapy and follow-up strategy.

Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma

Interventional oncology is a rapidly growing field with advances in minimally invasive image-guided local-regional treatments for hepatocellular carcinoma (HCC), including transarterial chemoembolization, transarterial radioembolization, and thermal ablation. However, current standardized clinical staging systems for HCC are limited in their ability to optimize patient selection for treatment as they rely primarily on serum markers and radiologist-defined imaging features. Given the variation in treatment responses, an updated scoring system that includes multidimensional aspects of the disease, including quantitative imaging features, serum markers, and functional biomarkers, is needed to optimally triage patients. With the vast amounts of numerical medical record data and imaging features, researchers have turned to image-based methods, such as radiomics and artificial intelligence (AI), to automatically extract and process multidimensional data from images. The synthesis of these data can provide clinically relevant results to guide personalized treatment plans and optimize resource utilization. Machine learning (ML) is a branch of AI in which a model learns from training data and makes effective predictions by teaching itself. This review article outlines the basics of ML and provides a comprehensive overview of its potential value in the prediction of treatment response in patients with HCC after minimally invasive image-guided therapy.

Transient Cytolysis after Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma

Transarterial chemoembolization (TACE) is a minimally invasive radiological procedure which consists of infusing a chemotherapeutic agent in the main arterial supplier of the liver tumor, usually emulsion-based doxorubicin, followed by the occlusion of the involved vessel with 100-500 micron-sized embolic particles [...].

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.

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.

The short-term efficacy of DEB-TACE loaded with epirubicin and raltitrexed in the treatment of intermediate and advanced primary hepatocellular carcinoma

OBJECTIVE

To investigate the short-term efficacy of drug-eluting bead transarterial chemoembolization (DEB-TACE) loaded with epirubicin and raltitrexed in the treatment of intermediate and advanced primary hepatocellular carcinoma (PHC).

METHODS

One hundred patients with intermediate or advanced PHC were randomly divided into a control group (the CG, n=50) and an observation group (the OG, n=50). The CG was treated with conventional TACE (cTACE), and the OG was treated with DEB-TACE loaded with epirubicin and raltitrexed. The overall efficiency, the liver function indices, the tumor markers, the macrophage migration inhibitory factor (MIF) levels , the lesion diameters, the Child-Pugh scores, the adverse reactions, the median times to disease progression, the 1-year and 2-year recurrence rates, and the survival rates were compared between the two groups.

RESULTS

At 6 months after the surgery, the overall response rate in the OG (82.00%) was higher than it was in the CG (62.00%) (P<0.05). The serum alanine aminotransferase, total bilirubin, and aspartate aminotransferase levels were elevated in both groups after the intervention, but they were lower in the OG than they were in the CG (P<0.05). The serum alpha-fetoprotein, carcinoembryonic antigen, and MIF levels, and the lesion diameters were lower in both groups at one month after the intervention, and they were lower in the OG than they were in the CG (P<0.05). The incidence of abnormal blood test results in the OG was lower than it was in the CG (P<0.05). The OG also exhibited a longer median time to disease progression, lower 1-year and 2-year recurrence rates, and higher 1- and 2-year survival rates than the CG (P<0.05).

CONCLUSION

DEB-TACE loaded with epirubicin and raltitrexed improves the short-term outcomes, reduces the tumor load, decreases the incidence of adverse events, and improves the survival rate in patients with intermediate and advanced PHC.

Systemic Inflammation Response Index is a Prognostic Risk Factor in Patients with Hepatocellular Carcinoma Undergoing TACE

Background

Mounting evidence has shown that systemic inflammation response index (SIRI), a novel prognostic biomarker based on peripheral lymphocyte, neutrophil and monocyte counts, is associated with poor prognosis for several tumors. However, the prognostic value of SIRI in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) is elusive. Herein, we aimed to evaluate the correlation between SIRI and clinical outcomes in these patients.

Methods

A total of 194 consecutive patients who underwent TACE were included in this study. Patients were stratified into high and low SIRI groups based on the cut-off value using receiver operating characteristic (ROC) analysis. Independent risk factors for tumor response were analyzed using forward stepwise logistic regression. A one-to-one propensity score matching (PSM) was conducted to compare progression-free survival (PFS) and overall survival (OS) between low and high SIRI patients. The discriminatory power of the combination of number of tumors and SIRI in predicting initial TACE response was evaluated by ROC analysis.

Results

Patients were divided into high SIRI (> 0.88) and low SIRI (≤ 0.88) groups. High SIRI (p = 0.003) and more than three tumors (p = 0.002) were significantly related to poorer tumor response. Moreover, the low SIRI group had longer PFS and OS than the high SIRI group (both P < 0.05) before and after PSM. Combination of SIRI and number of tumors can improve the predictive ability to predict initial TACE response with an area under the curve (AUC) of 0.678.

Conclusion

Pretreatment peripheral blood SIRI was found to be an independent predictor of tumor response and clinical outcomes in patients with HCC undergoing TACE. Patients with high SIRI may have a poor prognosis.

Role of modern radiotherapy in managing patients with hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer. Several treatment options are available for managing HCC patients, classified roughly as local, local-regional, and systemic therapies. The high post-monotherapy recurrence rate of HCC urges the need for the use of combined modalities to increase tumor control and patient survival. Different international guidelines offer treatment recommendations based on different points of view and classification systems. Radiotherapy (RT) is a well-known local-regional treatment modality for managing many types of cancers, including HCC. However, only some of these treatment guidelines include RT, and the role of combined modalities is rarely mentioned. Hence, the present study reviewed clinical evidence for the use of different combined modalities in managing HCC, focusing on modern RT's role. Modern RT has an increased utility in managing HCC patients, mainly due to two driving forces. First, technological advancement (e.g., stereotactic body radiotherapy and advanced proton-beam therapy) enables precise delivery of radiation to increase tumor control and reduce side effects in the surrounding normal tissue. Second, the boom in developing target therapies and checkpoint-blockade immunotherapy prolongs overall survival in HCC patients, re-emphasizing the importance of local tumor control. Remarkably, RT combines with systemic therapies to generate the systemic therapy augmented by radiotherapy effect, a benefit now being actively investigated.

Integrated Liver Inflammatory Score Predicts the Therapeutic Outcome of Patients with Hepatocellular Carcinoma after Transarterial Chemoembolization

PURPOSE

To evaluate the performance of the integrated liver inflammatory score (ILIS) in predicting survival in patients with hepatocellular carcinoma (HCC) who received transarterial chemoembolization, and to compare ILIS to other prognostic scoring systems and inflammatory indices.

MATERIALS AND METHODS

This study included 192 patients with unresectable HCC who underwent transarterial chemoembolization from 3 medical centers. The potential risk factors of the patients' overall survival (OS) were determined by multivariate Cox regression analysis. The predictive performances of ILIS in 1-, 2-, 3-, 4-, and 5-year survival were evaluated using receiver operating characteristic curves. The discriminatory power in the OS of ILIS and the other known scoring systems or inflammatory indices was determined by C-statistic.

RESULTS

Multivariate regression analysis showed that high ILIS (P = .047), low lymphocyte count (P = .034), beyond up-to-seven criteria (P = .021), and nonresponse to the first transarterial chemoembolization session (P = .039) were risk factors for poor prognosis after transarterial chemoembolization. The predictive performances of ILIS for 1-, 2-, 3-, 4-, and 5-year survival were good, with area under the curve values of 0.627, 0.631, 0.621, 0.577, and 0.681, respectively. ILIS outperformed other standard scoring systems and inflammatory indices in predicting OS, with a C-statistic of 0.625.

CONCLUSIONS

ILIS is a powerful prognostic index for predicting the survival of patients with HCC after transarterial chemoembolization, which suggests that ILIS before treatment should be considered during the patient evaluation process.

Development and Validation of a Predictive Model for Early Refractoriness of Transarterial Chemoembolization in Patients With Hepatocellular Carcinoma

Objectives: To develop and validate a predictive model for early refractoriness of transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC).

Methods: In this multicenter retrospective study, a total of 204 consecutive patients who initially underwent TACE were included. Early TACE refractoriness was defined as patients presented with TACE refractoriness after initial two consecutive TACE procedures. Of all patients, 147 patients (approximately 70%) were assigned to a training set, and the remaining 57 patients (approximately 30%) were assigned to a validation set. Predictive model was established using forward stepwise logistic regression and nomogram. Based on factors selected by logistic regression, a one-to-one propensity score matching (PSM) was conducted to compare progression-free survival (PFS) between patients who were present or absent of early TACE refractoriness. PFS curve was estimated by Kaplan-Meier method and compared by log-rank test.

Results: Logistic regression revealed that bilobar tumor distribution (p = 0.002), more than three tumors (p = 0.005) and beyond up-to-seven criteria (p = 0.001) were significantly related to early TACE refractoriness. The discriminative abilities, as determined by the area under the receiver operating characteristic (ROC) curve, were 0.788 in the training cohort and 0.706 in the validation cohort. After PSM, the result showed that patients who were absent of early TACE refractoriness had a significantly higher PFS rate than those of patients who were present (p < 0.001).

Conclusion: This study presents a predictive model with moderate accuracy to identify patients with high risk of early TACE refractoriness, and patients with early TACE refractoriness may have a poor prognosis.