Hepatocellular Carcinoma Recurrence Research Articles

Cholecystohepatic shunt pathway reduces secondary bile acid accumulation to enhance natural killer T cell-mediated anti-hepatocellular carcinoma immunity.

The impact of cholecystectomy, which blocks the cholecystohepatic shunt pathway (CHSP), on the prognosis of patients with hepatocellular carcinoma (HCC) is unclear. Hepatic secondary bile acids (BAs) inhibit natural killer T (NKT) cell-mediated immunity against HCC, and the regulation of homeostasis of hepatic secondary BAs is controlled by the CHSP. However, the influence of CHSP on NKT cell-mediated immunity against HCC remains unclear. The clinical data of hospitalized patients undergoing HCC resection were collected. Meanwhile, an in situ HCC mouse model was established, and the CHSP was augmented using oleanolic acid (OA). After 1:1 propensity score matching, Cox regression analysis revealed that cholecystectomy was an independent risk factor for HCC recurrence after hepatectomy (P=0.027, hazard ratio: 1.599, 95% confidence interval: 1.055-2.422). Experimentally, when OA enhanced CHSP, a significant decrease was observed in the accumulation of secondary BAs in the livers of mice. Additionally, a significant increase was observed in the levels of C-X-C ligand 16 and interferon γ in the serum and tumor tissues. Further, the percentage of C-X-C receptor 6 (+) NKT cells in the tumor tissues increased significantly, and the growth of liver tumors was inhibited. This clinical study revealed that cholecystectomy promoted the recurrence after radical hepatectomy in patients with HCC. Preserving the normal-functioning gallbladder as much as possible during surgery may be beneficial to the patient's prognosis. Further investigation into the mechanism revealed that CHSP enhanced NKT cell-mediated immunity against HCC by reducing the hepatic accumulation of secondary BAs.

Superselective Ablative Chemo-ethanol Embolization for Recurrent Single Hepatocellular Carcinoma: A Six-Month Outcome Analysis.

To evaluate the safety and effectiveness of superselective ablative chemoethanol embolization (SACE) for the treatment of patients with recurrent single hepatocellular carcinoma (rHCC). This retrospective study included 22 patients (19 men, median age 63 [range 38-86 y]) with Child-Pugh class of A/B/C (16/3/3) that underwent SACE between January and June 2023 for recurrent single HCCs measuring ≤ 5 cm in diameter using a mixture of 99% Ethanol and ethiodized oil/doxorubicin emulsion. The primary endpoint was the 6-month tumor response, and the secondary endpoints were the 1-month tumor response and treatment-related safety. This study was approved by our institutional review board, and the requirement for informed consent was waived. SACE was successfully performed in 22 (95.2%) patients. The complete response rates at 1-month and 6-month after treatment were 100% and 83.3%, respectively. At 6-month, local tumor progression occurred in one patient and intrahepatic distant metastasis was found in 6 (30%) patients. No 6-month mortalities were reported. No adverse events greater than grade 2 or laboratory deteriorations were observed. Biliary complications or liver abscesses were not observed. SACE for a single rHCC was highly effective in achieving a favorable 6-month tumor response and showed acceptable adverse events. However, further prospective studies are required to verify these findings.

DGPRI, a new liver fibrosis assessment index, predicts recurrence of AFP-negative hepatocellular carcinoma after hepatic resection: a single-center retrospective study

Although patients with alpha-fetoprotein-negative hepatocellular carcinoma (AFPNHCC) have a favorable prognosis, a high risk of postoperative recurrence remains. We developed and validated a novel liver fibrosis assessment index, the direct bilirubin-gamma-glutamyl transpeptidase-to-platelet ratio (DGPRI). DGPRI was calculated for each of the 378 patients with AFPNHCC who underwent hepatic resection. The patients were divided into high- and low-score groups using the optimal cutoff value. The Lasso-Cox method was used to identify the characteristics of postoperative recurrence, followed by multivariate Cox regression analysis to determine the independent risk factors associated with recurrence. A nomogram model incorporating the DGPRI was developed and validated. High DGPRI was identified as an independent risk factor (hazard ratio = 2.086) for postoperative recurrence in patients with AFPNHCC. DGPRI exhibited better predictive ability for recurrence 1–5 years after surgery than direct bilirubin and the gamma-glutamyl transpeptidase-to-platelet ratio. The DGPRI-nomogram model demonstrated good predictive ability, with a C-index of 0.674 (95% CI 0.621–0.727). The calibration curves and clinical decision analysis demonstrated its clinical utility. The DGPRI nomogram model performed better than the TNM and BCLC staging systems for predicting recurrence-free survival. DGPRI is a novel and effective predictor of postoperative recurrence in patients with AFPNHCC and provides a superior assessment of preoperative liver fibrosis.

Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation

IntroductionTo analyze the risk factors affecting recurrence in early-stage hepatocellular carcinoma (HCC) patients treated with ablation and then establish a nomogram to provide a clear and accessible representation of the patients’ recurrence risk.MethodsCollect demographic and clinical data of 898 early-stage HCC patients who underwent ablation treatment at Beijing You’an Hospital, affiliated with Capital Medical University from January 2014 to December 2022. Patients admitted from 2014 to 2018 were included in the training cohort, while 2019 to 2022 were in the validation cohort. Lasso and Cox regression was used to screen independent risk factors for HCC patients recurrence, and a nomogram was then constructed based on the screened factors.ResultsAge, gender, Barcelona Clinic Liver Cancer (BCLC) stage, tumor size, globulin (Glob) and γ-glutamyl transpeptidase (γ-GT) were finally incorporated in the nomogram for predicting the recurrence-free survival (RFS) of patients. We further confirmed that the nomogram has optimal discrimination, consistency and clinical utility by the C-index, Receiver Operating Characteristic Curve (ROC), calibration curve and Decision Curve Analysis (DCA). Moreover, we divided the patients into different risk groups and found that the nomogram can effectively identify the high recurrence risk patients by the Kaplan-Meier curves.ConclusionThis study developed a nomogram using Lasso-Cox regression to predict RFS in early-stage HCC patients following ablation, aiding clinicians in identifying high-risk groups for personalized follow-up treatments.

Immunosuppression in liver transplant oncology: position paper of the Italian Board of Experts in Liver Transplantation (I-BELT).

Liver transplant oncology (TO) represents an area of increasing clinical and scientific interest including a heterogeneous group of clinical-pathological settings. Immunosuppressive management after LT is a key factor relevantly impacting result. However, disease-related guidance is still lacking, and many open questions remain in the field. Based on such a substantial lack of solid evidences, the Italian Board of Experts in Liver Transplantation (I-BELT) (a working group including representatives of all national transplant centers), unprecedently promoted a methodologically sound consensus conference on the topic, based on the GRADE approach. The group final recommendations are herein presented and commented. The 18 PICOs and Statements and their levels of evidence and grades of recommendation are reported and grouped into seven areas: (1) risk stratification by histopathological and bio-molecular parameters and role of mTORi post-LT; (2) steroids and HCC recurrence; (3) management of immunosuppression when HCC recurs after LT; (4) mTORi monotherapy; (5) machine perfusion and HCC recurrence after LT; (6) physiopathology of tumor-infiltrating lymphocytes and immunosuppression, the role of inflammation; (7) immunotherapy in liver transplanted patients. The interest in mammalian targets of rapamycin inhibitors (mTORi), for steroid avoidance and the need for a reduction to CNI exposure emerged from the consensus process. A selected list of unmet needs prompting further investigations have also been developed. The so far heterogeneous and granular approach to immunosuppression in oncologic patients deserves greater efforts for a more standardized therapeutic response to the different clinical scenarios. This consensus process makes a first unprecedented step in this direction, to be developed on a larger scale.

Optimizing predictions: improved performance of preoperative gadobenate-enhanced MRI hepatobiliary phase features in predicting vessels encapsulating tumor clusters in hepatocellular carcinoma-a multicenter study.

Vessels Encapsulating Tumor Clusters (VETC) are now recognized as independent indicators of recurrence and overall survival in hepatocellular carcinoma (HCC) patients. However, there has been limited investigation into predicting the VETC pattern using hepatobiliary phase (HBP) features from preoperative gadobenate-enhanced MRI. This study involved 252 HCC patients with confirmed VETC status from three different hospitals (Hospital 1: training set with 142 patients; Hospital 2: test set with 64 patients; Hospital 3: validation set with 46 patients). Independent predictive factors for VETC status were determined through univariate and multivariate logistic analyses. Subsequently, these factors were used to construct two distinct VETC prediction models. Model 1 included all independent predictive factors, while Model 2 excluded HBP features. The performance of both models was assessed using the Area Under the Curve (AUC), Decision Curve Analysis, and Calibration Curve. Prediction accuracy between the two models was compared using Net Reclassification Improvement (NRI) and Integrated Discriminant Improvement (IDI). CA199, IBIL, shape, peritumoral hyperintensity on HBP, and arterial peritumoral enhancement were independent predictors of VETC. Model 1 showed robust predictive performance, with AUCs of 0.836 (training), 0.811 (test), and 0.802 (validation). Model 2 exhibited moderate performance, with AUCs of 0.813, 0.773, and 0.783 in the respective sets. Calibration and decision curves for both models indicated consistent predictions between predicted and actual VETC, benefiting HCC patients. NRI showed Model 1 increased by 0.326, 0.389, and 0.478 in the training, test, and validation sets compared to Model 2. IDI indicated Model 1 increased by 0.036, 0.028, and 0.025 in the training, test, and validation sets compared to Model 2. HBP features from preoperative gadobenate-enhanced MRI can enhance the predictive performance of VETC in HCC.

GALAD score as a prognostic model for recurrence of hepatocellular carcinoma after local ablation

BackgroundCurrently, the high recurrence rate still forms severe challenges in hepatocellular carcinoma (HCC) treatment. The GALAD score, including age, gender, alpha-fetoprotein (AFP), lens culinaris agglutinin-reactive AFP (AFP-L3), and des-gamma-carboxyprothrombin (DCP) was developed as a diagnostic model. However, evidence is still lacking to confirm the capability of the GALAD score to predict the recurrence of HCC.MethodsThis study included 390 HCC patients after local ablation at Beijing You'an Hospital from January 1, 2018, to December 31, 2022. Firstly, the area under the receiver operating characteristic (ROC) curve (AUC) was calculated to assess the predictive capability of the GALAD score. Then, the Kaplan–Meier (KM) curve and log-rank test were used to compare the prognosis between two groups classified by GALAD score. Finally, a nomogram for high-risk patients was established by Lasso-Cox regression. It was assessed by ROC curves, calibration curves, and decision curve analysis (DCA).ResultsThe ROC curve (AUC: 0.749) and KM curve showed the GALAD score had good predictive ability and could clearly stratify patients into two groups through the risk of recurrence. Prognostic factors selected by Lasso-Cox regression contained tumor number, tumor size, and globulin. The nomogram for high-risk patients showed reliable discrimination, calibration, and clinical utility.ConclusionThis research displayed that the GALAD score is an effective model for predicting the recurrence of HCC. Meanwhile, we found the poor prognosis of the high-risk group and created a nomogram for these patients.

Preoperative prediction power of radiomics and non-radiomics methods based on MRI for early recurrence in hepatocellular carcinoma: a systemic review and meta-analysis.

To compare radiomics and non-radiomics in predicting early recurrence (ER) in patients with hepatocellular carcinoma (HCC) after curative surgery. We systematically searched PubMed and Embase databases. Studies with clear reference criteria were selected. Data were extracted and assessed for quality using the quality in prognosis studies tool (QUIPS)by two independent authors. All included radiomics studies underwent radiomics quality score (RQS) assessment. We calculated sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) using random or fixed models with a 95%CI. Forest maps visualized the data, and summary receiver operating characteristic (sROC) curves with the area under the curve (AUC) were generated. Meta-regression and subgroup analyses explored sources of heterogeneity. We compared sensitivity, specificity, PLR, and NLR using the z-test and compared AUC values using the Delong test. Our meta-analysis included 10 studies comprising 1857 patients. For radiomics, the pooled sensitivity, specificity, AUC of sROC, PLR and NLR were 0.84(95%CI: 0.78-0.89), 0.80(95%CI: 0.75-0.85), 0.89(95%CI: 0.86-0.91), 4.28(95%CI: 3.48-5.27) and 0.20(95%CI: 0.14-0.27), respectively, but with significant heterogeneity (I2 = 60.78% for sensitivity, I2 = 55.79% for specificity) and potential publication bias (P = 0.04). The pooled sensitivity, specificity, AUC of sROC, PLR, NLR for non-radiomics were 0.75(95%CI:0.68-0.81), 0.78(95%CI:0.72-0.83), 0.83(95%CI: 0.80-0.86), 3.45(95%CI: 2.68-4.44) and 0.32(95%CI: 0.24-0.41), respectively. There was no significant heterogeneity in this group (I2 = 0% for sensitivity, I2 = 17.27% for specificity). Radiomics showed higher diagnostic accuracy (AUC: 0.89 vs. 0.83, P = 0.0456), higher sensitivity (0.84 vs. 0.75, P = 0.0385) and lower NLR (0.20 vs. 0.32, P = 0.0287). The radiomics from preoperative MRI effectively predicts ER of HCC and has higher diagnostic accuracy than non-radiomics. Due to potential publication bias and suboptimal RQS scores in radiomics, these results should be interpreted cautiously.

Small graft size and hepatocellular carcinoma outcomes in living donor liver transplantation: a retrospective multicentric cohort study.

This study examined associations between the graft-to-recipient weight ratio (GRWR) for adult-to-adult living donor liver transplantation (LDLT) and HCC outcomes. Data from patients in the Korean Organ Transplantation Registry who underwent LDLT for HCC from 2014-2021 were retrospectively reviewed. Patients were categorized using the cutoff GRWR for HCC recurrence determined by an adjusted cubic spline (GRWR<0.7% vs. GRWR≥0.7%). Recurrence-free survival (RFS) and HCC recurrence were analyzed in the entire and a 1:5 propensity-matched cohort. The eligible cohort consisted of 2005 LDLT recipients (GRWR<0.7 [n=59] vs. GRWR≥0.7 [n=1946]). In the entire cohort, 5-year RFS was significantly lower in the GRWR<0.7 than in the GRWR≥0.7 group (66.7% vs. 76.7%, P =0.019), although HCC recurrence was not different between groups (77.1% vs. 80.7%, P =0.234). This trend was similar in the matched cohort ( P =0.014 for RFS and P =0.096 for HCC recurrence). In multivariable analyses, GRWR<0.7 was an independent risk factor for RFS (adjusted HR [aHR] 1.89, P =0.012), but the result was marginal for HCC recurrence (aHR 1.61, P =0.066). In the pretransplant tumor burden subgroup analysis, GRWR<0.7 was a significant risk factor for both RFS and HCC recurrence only for tumors exceeding the Milan criteria (aHR 3.10, P <0.001 for RFS; aHR 2.92, P =0.003 for HCC recurrence) or with MoRAL scores in the fourth quartile (aHR 3.33, P <0.001 for RFS; aHR 2.61, P =0.019 for HCC recurrence). A GRWR<0.7 potentially leads to lower RFS and higher HCC recurrence after LDLT when the pretransplant tumor burden is high.

Does depressurization of the portal vein before liver transplantation affect the recurrence of HCC? A nested case-control study

BackgroundPortal hypertension (PHT) has been proven to be closely related to the development of hepatocellular carcinoma (HCC). Whether PHT before liver transplantation (LT) will affect the recurrence of HCC is not clear.Methods110 patients with depressurization of the portal vein (DPV) operations (Transjugular Intrahepatic Portosystemic Shunt—TIPS, surgical portosystemic shunt or/and splenectomy) before LT from a HCC LT cohort, matched with 330 preoperative non-DPV patients; this constituted a nested case-control study. Subgroup analysis was based on the order of DPV before or after the occurrence of HCC.ResultsThe incidence of acute kidney injury and intra-abdominal bleeding after LT in the DPV group was significantly higher than that in non-DPV group. The 5-year survival rates in the DPV and non-DPV group were 83.4% and 82.7% respectively (P = 0.930). In subgroup analysis, patients in the DPV prior to HCC subgroup may have a lower recurrence rate (4.7% vs.16.8%, P = 0.045) and a higher tumor free survival rate (88.9% vs.74.4%, P = 0.044) after LT under the up-to-date TNMI–II stage, while in TNM III stage, there was no difference for DPV prior to HCC subgroup compared with the DPV after HCC subgroup or the non-DPV group.ConclusionCompared with DPV after HCC, DPV treatment before HCC can reduce the recurrence rate of HCC after early transplantation (TNM I-II). DPV before LT can reduce the recurrence of early HCC.

Emodin is a Potential Drug Targeting CD44-positive Hepatocellular Cancer

Background: Liver cancer is one of the most prevalent forms of cancer of the digestive system in our country. The most common subtype of this disease is hepatocellular carcinoma (HCC). Currently, treatment options for HCC patients include surgical resection, liver transplantation, radiofrequency ablation, chemoembolization, and biologic-targeted therapy. However, the efficacy of these treatments is suboptimal, as they are prone to drug resistance, metastasis, spread, and recurrence. These attributes are closely related to cancer stem cells (CSCs). Therefore, the utilization of drugs targeting CSCs may effectively inhibit the development and recurrence of HCC. Methods: HepG2 and Huh7 cells were used to analyze the antitumor activity of emodin by quantifying cell growth and metastasis, as well as to study its effect on stemness. Results: Emodin effectively suppressed the growth and movement of HCC cells. Emodin also significantly inhibited the proliferation of CD44-positive hepatoma cells. Conclusion: Emodin shows promise as a potential therapeutic agent for HCC by targeting CD44-- positive hepatoma cells.

Postoperative Lenvatinib plus PD-1 blockade reduces early tumor recurrence in hepatocellular carcinoma with MVI (BCLC 0-A): A Propensity Score Matching Analysis

PurposeThis research seeks to determine the effectiveness of post-operative adjuvant lenvatinib plus PD-1 blockade for early-stage HCC patients with microvascular invasion (MVI). Methods393 HCC patients (Barcelona Clinic Liver Cancer stage 0-A) who underwent curative hepatectomy with histopathologically proven MVI were enrolled according to inclusion and exclusion criteria and assigned to two groups: surgery alone (Surgery-alone) and surgery with lenvatinib and PD-1 blockade (Surgery+Len+PD-1) to compare recurrence-free survival (RFS), overall survival (OS), recurrence type, and annual recurrence rate following the application of propensity score matching (PSM). The Cox proportional hazards model was utilized for univariate and multivariate analysis. Results99 matched pairs were selected using PSM. Patients in the Surgery+Len+PD-1 group had significantly higher three-year RFS (76.8%, 65.7%, and 53.5%) compared to patients in the Surgery-alone group (60.6%, 45.5%, and 37.4%) (P=0.012). The two groups showed no significant differences in recurrence types and OS. Surgery-alone, MVI-M2, and AFP≥200ng/mL were independent risk factors for RFS (P<0.05), and history of alcoholism was an independent risk factor for OS (P=0.022). ConclusionsPostoperative lenvatinib plus PD-1 blockade improved the RFS in HCC patients with MVI and was particularly beneficial for specific individuals.

Diacylglycerol kinase alpha is a proliferation marker of intrahepatic cholangiocarcinoma associated with the prognosis.

Intrahepatic cholangiocarcinoma (ICC) has a high recurrence rate and a poor prognosis. Thus, the development of effective treatment and prognostic biomarkers is required. High expression of diacylglycerol kinase alpha (DGKα) is a prognostic factor for the recurrence of hepatocellular carcinoma. However, the relationship between DGKα expression and prognosis in ICC has not been reported. Immunohistochemistry (IHC) with anti-DGKα antibody was performed on surgical specimens of ICC (n = 69). First, DGKα expression in cancer cells was qualitatively classified into four groups (-, 1+, 2+, 3+) and divided into two groups (DGKα- and DGKα+1 + to 3+). The relationship between clinical features and DGKα expression was analyzed. Second, Ki-67 expression was evaluated as a cell proliferation marker. The number of Ki-67-positive cells was counted, and the relationship with DGKα expression was examined. DGKα IHC divided the patients into a DGKα+ group (1+: n = 15; 2+: n = 5; 3+: n = 5) and a DGKα- group (-: n = 44). In the DGKα+ group, patients were older and had advanced disease. Both overall survival and recurrence-free survival (RFS) were significantly worse in the DGKα+ patients. DGKα+ was identified as an independent prognostic factor for RFS by multivariate analysis. Furthermore, the number of Ki-67-positive cells increased in association with the staining levels of DGKα. Pathological DGKα expression in ICC was a cancer proliferation marker associated with recurrence. This suggests that DGKα may be a potential therapeutic target for ICC.

Role of hepatitis B core-related antigen in predicting the occurrence and recurrence of hepatocellular carcinoma in patients with chronic hepatitis B: A systemic review and meta-analysis.

The purpose of the current study was to investigate the predictive value of hepatitis B core-related antigen (HBcrAg) on the occurrence and recurrence of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). We searched PubMed, Embase, Scopus, and Web of Science from database inception to April 6, 2023. Pooled hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) was calculated for the occurrence and recurrence of HCC. Of the 464 articles considered, 18 articles recruiting 10320 patients were included. The pooled results showed that high serum HBcrAg level was an independent risk factor for the occurrence of HCC in CHB patients (adjusted HR=3.12, 95% CI: 2.40-4.06, P<0.001, I2=43.2%, P=0.043; OR=5.65, 95% CI: 3.44-5.82, P<0.001, I2=0.00%, P=0.42). Further subgroup analysis demonstrated that the predictive ability of HBcrAg for the occurrence of HCC is not influenced by the hepatitis B e antigen (HBeAg) status or the use of nucleoside/nucleotide analogs (NAs). In addition, our meta-analysis also suggests that HBcrAg is a predictor of HCC recurrence (adjusted HR=1.71, 95% CI: 1.26-2.32, P<0.001, I2=7.89%, P=0.031). For patients with CHB, serum HBcrAg may be a potential predictive factor for the occurrence of HCC, regardless of HBeAg status or NA treatment. It may also serve as a novel prognostic biomarker for the recurrence of HCC. More studies are needed to confirm our conclusions.

The Albumin-bilirubin Grade as Prognostic Indicator for Recurrent Hepatocellular Carcinoma Needing Repeat Liver Resection.

This study aimed to evaluate the utility of the albumin-bilirubin grade for predicting the prognosis after repeat liver resection for patients with recurrent hepatocellular carcinoma. Ninety patients with intrahepatic recurrent hepatocellular carcinoma who underwent repeat liver resection at our institution between 2005 and 2019 were retrospectively analyzed. Cox proportional-hazards regression models evaluated independent preoperative prognostic factors, including the albumin-bilirubin grade. Prognosis differences between patients with albumin-bilirubin grades 1 and 2 were analyzed using the Kaplan-Meier method. Cox proportional-hazards regression analysis revealed that albumin-bilirubin grade 2 (p=0.003) and early recurrence within one year from the initial surgery (p=0.001) were independently associated with poor recurrence-free survival, and albumin-bilirubin grade 2 (p=0.020) was independently associated with poor overall survival. The five-year recurrence-free (31% and 17%, respectively) and overall (86% and 60%, respectively) survival rates after repeat liver resection for patients with albumin-bilirubin grades 1 and 2 were significantly different between groups (both p=0.003). The albumin-bilirubin grade is useful for preoperatively predicting favorable survival rates after repeat liver resection for patients with recurrent hepatocellular carcinoma. Patients with an albumin-bilirubin grade 1 are better candidates for surgical treatment of recurrent hepatocellular carcinoma.

Chemoembolization for Hepatocellular Carcinoma Including Contrast Agent-Enhanced CT: Response Assessment Model on Radiomics and Artificial Intelligence

Purpose: The aim of this study was to assess the efficacy of an artificial intelligence (AI) algorithm that uses radiomics data to assess recurrence and predict survival in hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Methods: A total of 57 patients with treatment-naïve HCC or recurrent HCC who were eligible for TACE were prospectively enrolled in this study as test data. A total of 100 patients with treatment-naïve HCC or recurrent HCC who were eligible for TACE were retrospectively acquired for training data. Radiomic features were extracted from contrast-enhanced, liver computed tomography (CT) scans obtained before and after TACE. An AI algorithm was trained using the retrospective data and validated using the prospective test data to assess treatment outcomes. Results: This study evaluated 107 radiomic features and 5 clinical characteristics as potential predictors of progression-free survival and overall survival. The C-index was 0.582 as the graph of the cumulative hazard function, predicted by the variable configuration by using 112 radiomics features. The time-dependent AUROC was 0.6 ± 0.06 (mean ± SD). Among the selected radiomics features and clinical characteristics, baseline_glszm_SizeZoneNonUniformity, baseline_ glszm_ZoneVariance and tumor size had excellent performance as predictors of HCC response to TACE with AUROC of 0.853, 0.814 and 0.827, respectively. Conclusions: A radiomics-based AI model is capable of evaluating treatment outcomes for HCC treated with TACE.

Achieving SVR in patients with hepatitis C-related HCC is associated with an improvement in overall survival: real word data

Aims: The optimal timing for DAA therapy initiation in patients with chronic hepatitis C (CHC) and HCC is still debated. The aim of our study was to provide real-world data on virological response and overall survival in patients with hepatitis C-related HCC. Methods: Retrospectively, we included patients with HCV-related HCC between 2015 and 2020. The primary outcome was to compare the SVR rate in the patients with active or historical HCC who were treated with DAA therapy. The secondary outcome was to measure the overall survival of those patients. Results: 98 patients were included, and the majority were cirrhotic with compensated liver disease. 71.4% received DAA therapy at the time of initial HCC diagnosis and 11.2% received HCV treatment at the time of HCC recurrence (Active HCC cohort). 17.3% had previously received HCC treatment, but there was no evidence of recurrence at the time of DAA (Historical HCC Cohort). The SVR rate was 81.6%, but decreased to 75.7% in patients with active HCC. The presence of active HCC and the number of HCC nodules were the only factors associated with not achieving SVR in the multivariate analysis. The median survival was higher in those who achieved SVR. Active HCC and failure to achieve SVR were the main factors associated with mortality. Conclusions: Treating hepatitis C in patients with HCC is feasible with significant rates of SVR, even if SVR rates decrease in patients with active HCC and these patients require more than one DAA therapy. Failure to achieve SVR is one of the main factors associated with mortality.

Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.

The prognosis for hepatocellular carcinoma (HCC) in the presence of cirrhosis is unfavourable, primarily attributable to the high incidence of recurrence. To develop a machine learning model for predicting early recurrence (ER) of post-hepatectomy HCC in patients with cirrhosis and to stratify patients' overall survival (OS) based on the predicted risk of recurrence. In this retrospective study, 214 HCC patients with cirrhosis who underwent curative hepatectomy were examined. Radiomics feature selection was conducted using the least absolute shrinkage and selection operator and recursive feature elimination methods. Clinical-radiologic features were selected through univariate and multivariate logistic regression analyses. Five machine learning methods were used for model comparison, aiming to identify the optimal model. The model's performance was evaluated using the receiver operating characteristic curve [area under the curve (AUC)], calibration, and decision curve analysis. Additionally, the Kaplan-Meier (K-M) curve was used to evaluate the stratification effect of the model on patient OS. Within this study, the most effective predictive performance for ER of post-hepatectomy HCC in the background of cirrhosis was demonstrated by a model that integrated radiomics features and clinical-radiologic features. In the training cohort, this model attained an AUC of 0.844, while in the validation cohort, it achieved a value of 0.790. The K-M curves illustrated that the combined model not only facilitated risk stratification but also exhibited significant discriminatory ability concerning patients' OS. The combined model, integrating both radiomics and clinical-radiologic characteristics, exhibited excellent performance in HCC with cirrhosis. The K-M curves assessing OS revealed statistically significant differences.

Pre-operative enhanced magnetic resonance imaging combined with clinical features predict early recurrence of hepatocellular carcinoma after radical resection.

Indentifying predictive factors for postoperative recurrence of hepatocellular carcinoma (HCC) has great significance for patient prognosis. To explore the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI) combined with clinical features in predicting early recurrence of HCC after resection. A total of 161 patients with pathologically confirmed HCC were enrolled. The patients were divided into early recurrence and non-early recurrence group based on the follow-up results. The clinical, laboratory, pathological results and Gd-EOB-DTPA enhanced MRI imaging features were analyzed. Of 161 patients, 73 had early recurrence and 88 were had non-early recurrence. Univariate analysis showed that patient age, gender, serum alpha-fetoprotein level, the Barcelona Clinic Liver Cancer stage, China liver cancer (CNLC) stage, microvascular invasion (MVI), pathological satellite focus, tumor size, tumor number, tumor boundary, tumor capsule, intratumoral necrosis, portal vein tumor thrombus, large vessel invasion, nonperipheral washout, peritumoral enhancement, hepatobiliary phase (HBP)/tumor signal intensity (SI)/peritumoral SI, HBP peritumoral low signal and peritumoral delay enhancement were significantly associated with early recurrence of HCC after operation. Multivariate logistic regression analysis showed that patient age, MVI, CNLC stage, tumor boundary and large vessel invasion were independent predictive factors. External data validation indicated that the area under the curve of the combined predictors was 0.861, suggesting that multivariate logistic regression was a reasonable predictive model for early recurrence of HCC. Gd-EOB-DTPA enhanced MRI combined with clinical features would help predicting the early recurrence of HCC after operation.

Development and comprehensive validation of a predictive prognosis model for very early HCC recurrence within one year after curative resection: a multicenter cohort study

Background: The high incidence of early recurrence after liver resection for hepatocellular carcinoma (HCC) is the main obstacle in achieving good long-term survival outcomes. The aim of the present study is to develop a prognostic model in predicting the risk of very early (1-year) recurrence. Material and Methods: Consecutive patients who underwent liver resection for HCC with curative intent at multi-centers in China were enrolled in this study. The VERM-pre (the Preoperative Very Early Recurrence Model of HCC) with good performance was derived and validated by internal and external cohorts retrospectively and by another two-center cohort prospectively. Results: 7401 patients were enrolled and divided randomly into 3 cohorts. Eight variables (tumor diameter, tumor number, macrovascular invasion, satellite nodule, alpha-fetoprotein, level of HBV-DNA, γ-GT and prothrombin time) were identified as independent risk factors for recurrence-free survival on uni- and multi-variate analyses. The VERM-pre model was developed which showed a high capacity of discrimination (C-index: 0.722; AUROC at 1 year: 0.722)) and was validated comprehensively by the internal, external and prospective cohorts, retrospectively. Calibration plots showed satisfactory fitting of probability of early HCC recurrence in the cohorts. Three risk strata were derived to have significantly different recurrence free survival rates (low-risk: 80.4%-85.4%; intermediate-risk: 59.7%-64.8%; high-risk: 32.6%-42.6%). In the prospective validation cohort, the swimming plot illustrated consistent outcomes with the beginning predictive score. Conclusion: The VERM-pre model accurately predicted the 1-year recurrence rates of HCC after liver resection with curative intent. The model was retrospectively and prospectively validated and then developed as the online tool.