Correlation analysis of preoperative serum alpha-fetoprotein (AFP) level and prognosis of hepatocellular carcinoma (HCC) after hepatectomy

Nomogram and calculator for predicting the prognosis of patients with giant hepatocellular carcinoma

OBJECTIVES

This study aimed to explore the factors affecting the overall survival (OS) of giant hepatocellular carcinoma (G-HCC) patients and establish a nomogram and an Internet-based OS calculator for evaluating the OS of G-HCC patients.

RESEARCH DESIGN AND METHODS

A total of 2445 G-HCC patients were searched in the SEER database. The independent variables affecting OS of G-HCC patients were determined by univariate and multivariate analyses, and a nomogram and Internet-based OS calculator were established. The accuracy of the nomogram was evaluated by the C-index, the AUC curve, and calibration curve.

RESULTS

Grade, surgery, radiotherapy, chemotherapy, T-staging, M-staging, AFP, and fibrosis were identified as independent variables affecting OS. These variables were included in the nomogram model and Internet-based OS calculator to evaluate OS in G-HCC patients. The C-indices and AUC of the nomogram are better than AJCC-staging system. Similarly, the calibration curves revealed that the actual survival was consistent with nomogram-based survival.

CONCLUSION

The nomogram and Internet-based OS calculator are superior to the traditional AJCC-staging system in the reliability and convenience of prognosis assessment for G-HCC patients, which is more conducive for clinicians to predict the survival of G-HCC patients and make the best treatment strategy.

Vascular reconstruction provides short-term and long-term survival benefits for patients with hilar cholangiocarcinoma: A retrospective, multicenter study

BACKGROUND

In patients with hilar cholangiocarcinoma (HCCA), radical resection can be achieved by resection and reconstruction of the vasculature. However, whether vascular reconstruction (VR) improves long-term and short-term prognosis has not been demonstrated comprehensively.

METHODS

This was a retrospective multicenter study of patients who received surgery for HCCA with or without VR. Variables associated with overall survival (OS) and recurrence-free survival (RFS) were identified based on Cox regression. Kaplan-Meier curves were used to explore the impact of VR. Restricted mean survival time (RMST) was used for comparisons of short-term survival between the groups. Patients' intraoperative and postoperative characteristics were compared.

RESULTS

Totally 447 patients were enrolled. We divided these patients into 3 groups: VR with radical resections (n = 84); non-VR radical resections (n = 309) and non-radical resection (we pooled VR-nonradical and non-VR nonradical together, n = 54). Cox regression revealed that carbohydrate antigen 242 (CA242), vascular invasion, lymph node metastasis and poor differentiation were independent risk factors for OS and RFS. There was no significant difference of RMST between the VR and non-VR radical groups within 12 months after surgery (10.18 vs. 10.76 mon, P = 0.179), although the 5-year OS (P < 0.001) and RFS (P < 0.001) were worse in the VR radical group. The incidences of most complications were not significantly different, but those of bile leakage (P < 0.001) and postoperative infection (P = 0.009) were higher in the VR radical group than in the non-VR radical group. Additionally, the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) up to 7 days after surgery tended to decrease in all groups. There was no significant difference in the incidence of postoperative liver failure between the VR and non-VR radical groups.

CONCLUSIONS

Radical resection can be achieved with VR to improve the survival rate without worsening short-term survival compared with resection with non-VR. After adequate assessment of the patient's general condition, VR can be considered in the resection.

Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery

Background

Circulating eosinophils are associated with tumor development. An eosinophil-related index, the neutrophil to eosinophil ratio (NER), can be used to predict the prognosis of patients with tumors. However, there is still a lack of efficient prognostic biomarkers for HCC. In this study, we aimed to investigate the predictive value of the NER and develop an optimal machine learning model for the recurrence of HCC patients. Patients and methods: A retrospective collection of 562 patients who underwent hepatectomy with a pathologic diagnosis of HCC was performed. The relationship between NER and progression-free survival (PFS) was investigated. We developed a new machine learning framework with 10 machine learning algorithms and their 101 combinations to select the best model for predicting recurrence after hepatectomy. The performance of the model was assessed by the area under the curve (AUC) of characteristics and calibration curves, and clinical utility was evaluated by decision curve analysis (DCA).

Results

Kaplan‒Meier curves showed that the PFS in the low NER group was significantly better than that in the high NER group. Multivariate Cox regression analysis showed that NER was an independent risk factor for recurrence after surgery. The random survival forests (RSF) model was selected as the best model that had good predictive efficacy and outperformed the TNM, BCLC, and CNLC staging systems.

Conclusion

The NER has good predictive value for postoperative recurrence in patients with hepatocellular carcinoma. Machine learning model based on NER can be used for accurate predictions.

Nivolumab in sorafenib-naive and sorafenib-experienced patients with advanced hepatocellular carcinoma: 5-year follow-up from CheckMate 040

BACKGROUND

Patients with advanced hepatocellular carcinoma (aHCC) have a poor prognosis and high mortality. Nivolumab monotherapy demonstrated clinical benefit with an acceptable safety profile in patients with aHCC in the CheckMate 040 study. Five-year follow-up of the sorafenib-naive and sorafenib-experienced groups of CheckMate 040 is presented here.

PATIENTS AND METHODS

Patients received nivolumab monotherapy at dose levels of 0.1-10.0 mg/kg (dose-escalation phase) or 3 mg/kg (dose-expansion phase) every 2 weeks until disease progression or unacceptable toxicity. Primary endpoints were safety and tolerability (dose escalation), and objective response rate (ORR) by blinded independent central review (BICR) and by investigator as per RECIST version 1.1 (dose expansion).

RESULTS

Eighty sorafenib-naive and 154 sorafenib-experienced patients were treated. Minimum follow-up in both groups was 60 months. ORR as per BICR was 20% [95% confidence interval (CI) 12% to 30%] and 14% (95% CI 9% to 21%) in the sorafenib-naive and sorafenib-experienced groups, respectively. Responses occurred regardless of HCC etiology or baseline tumor cell programmed death-ligand 1 (PD-L1) expression levels. Median overall survival (OS) was 26.6 months (95% CI 16.6-30.6 months) and 15.1 months (95% CI 13.0-18.2 months) in sorafenib-naive and sorafenib-experienced patients, respectively. The 3-year OS rates were 28% in the sorafenib-naive and 20% in the sorafenib-experienced groups; 5-year OS rates were 14% and 12%, respectively. No new safety signals were identified; grade 3/4 treatment-related adverse events were observed in 33% and 21% of patients in the sorafenib-naive and sorafenib-experienced groups, respectively. Biomarker analyses showed that baseline PD-L1 expression ≥1% was associated with higher ORR and longer OS compared with PD-L1 <1%. In the sorafenib-naive group, patients with OS ≥3 years exhibited higher baseline CD8 T-cell density compared with those with OS <1 year.

CONCLUSION

With 5 years of follow-up, nivolumab monotherapy continued to provide durable clinical benefit with manageable safety in sorafenib-naive and sorafenib-experienced patients with aHCC.

Analysis of clinicopathologic and imaging features of dual-phenotype hepatocellular carcinoma

Dual-phenotype hepatocellular carcinoma (DPHCC) is a new subtype of hepatocellular carcinoma (HCC). This study aimed to investigate the relationship between the computerized tomography scan (CT) imaging and clinicopathologic features of DPHCC. The CT imaging and clinicopathologic data of 97 HCC cases who underwent radical resection were collected retrospectively. The CT imaging feature was evaluated by the ratio of the average CT value of tumor to liver (TLR) in the plain scan, arterial, portal vein and delayed phases. The association between CT imaging and clinicopathologic features was analyzed using the t-test or chi-square test. Univariate and multivariate recurrence-free survival (RFS) analysis and overall survival (OS) were performed. The positive rates of cytokeratin 7 (CK7) and CK19 were 35.1% and 20.6% respectively. The positive rate of CK19 was significantly higher in cases with age < 47 years (P = 0.005), tumor diameter > 4 cm (P = 0.016) or AFP ≥ 400 ng/ml (P = 0.007). The TLR in the portal vein phase was significantly lower in CK19 positive group (P = 0.024). The recurrence risk was significantly higher in cases with CK19 positive (HR: 2.17, 95% CI 1.16 to 4.04, P = 0.013), tumor diameter > 4 cm (HR: 2.05, 95% CI 1.11 to 3.78, P = 0.019), AFP ≥ 400 ng/ml (HR: 2.50, 95% CI 1.37 to 4.54, P = 0.002) or CA199 ≥ 37 U/ml (HR: 2.23, 95% CI 1.12 to 4.42, P = 0.020). However, imaging features, pathological subtype, CK7 or CK19 expression were not significantly related to HCC OS in the univariate and multivariate analysis (all P > 0.05). The expression of CK19 may be associated with the enhancement feature of the portal vein phase CT image, and CK19 positive may suggest a worse RFS.

Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinoma

To examine the comparative robustness of computed tomography (CT)-based conventional radiomics and deep-learning convolutional neural networks (CNN) to predict overall survival (OS) in HCC patients. Retrospectively, 114 HCC patients with pretherapeutic CT of the liver were randomized into a development (n = 85) and a validation (n = 29) cohort, including patients of all tumor stages and several applied therapies. In addition to clinical parameters, image annotations of the liver parenchyma and of tumor findings on CT were available. Cox-regression based on radiomics features and CNN models were established and combined with clinical parameters to predict OS. Model performance was assessed using the concordance index (C-index). Log-rank tests were used to test model-based patient stratification into high/low-risk groups. The clinical Cox-regression model achieved the best validation performance for OS (C-index [95% confidence interval (CI)] 0.74 [0.57-0.86]) with a significant difference between the risk groups (p = 0.03). In image analysis, the CNN models (lowest C-index [CI] 0.63 [0.39-0.83]; highest C-index [CI] 0.71 [0.49-0.88]) were superior to the corresponding radiomics models (lowest C-index [CI] 0.51 [0.30-0.73]; highest C-index [CI] 0.66 [0.48-0.79]). A significant risk stratification was not possible (p > 0.05). Under clinical conditions, CNN-algorithms demonstrate superior prognostic potential to predict OS in HCC patients compared to conventional radiomics approaches and could therefore provide important information in the clinical setting, especially when clinical data is limited.

PIVKA-II combined with tumor burden score to predict long-term outcomes of AFP-negative hepatocellular carcinoma patients after liver resection

BACKGROUND

This study aimed to establish a simple prognostic scoring model based on tumor burden score (TBS) and PIVKA-II to predict long-term outcomes of α-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC) patients.

METHODS

511 patients were divided into the training cohort (n = 305) and the validation cohort (n = 206) at a ratio of 6:4. Receiver operating characteristic curves (ROC) were established to identify cutoff values of TBS and PIVKA-II. Kaplan-Meier curves were used to analyze survival outcomes. The multivariable Cox regression was used to identify variables independently associated with survival outcomes. The predictive performance of the TBS-PIVKA II score (TPS) model was compared with Barcelona clinic liver cancer (BCLC) stage and American Joint Committee on Cancer (AJCC TNM) stage.

RESULTS

The present study established the TPS model using a simple scoring system (0, 1 for low/high TBS [cutoff value: 4.1]; 0, 1 for low/high PIVKA-II [cutoff value: 239 mAU/mL]). The TPS scoring model was divided into three levels according to the summation of TBS score and PIVKA-II score: TPS 0, TPS 1, and TPS 2. The TPS scoring model was able to stratify OS (training: p < 0.001, validation: p < 0.001) and early recurrence (training: p < 0.001; validation: p = 0.001) in the training cohort and the validation cohort. The TPS score was independently associated with OS (TPS 1 vs. 0, HR: 2.28, 95% CI: 1.01-5.17; TPS 2 vs. 0, HR: 4.21, 95% CI: 2.01-8.84) and early recurrence (TPS 1 vs. 0, HR: 3.50, 95% CI: 1.71-7.16; TPS 2 vs. 0, HR: 3.79, 95% CI: 1.86-7.75) in the training cohort. The TPS scoring model outperformed BCLC stage and AJCC TNM stage in predicting OS and early recurrence in the training cohort and the validation cohort. But the TPS scoring model was unable to stratify the late recurrence in the training cohort (p = 0.872) and the validation cohort (p = 0.458).

CONCLUSIONS

The TPS model outperformed the BCLC stage and AJCC TNM stage in predicting OS and early recurrence of AFP-negative HCC patients after liver resection, which might better assist surgeons in screening AFP-negative HCC patients who may benefit from liver resection.

Acts as a Promising Novel Biomarker for the Prognosis of Patients with Hepatocellular Carcinoma

Objective: Nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1) is highly expressed in some tumors, including hepatocellular carcinoma (HCC). However, its clinical significance in HCC prognosis is still unclear. The aim of this study was to explore the expression and prognostic value of NUCKS1 in HCC. Materials and Methods: Quantitative real-time polymerase chain reaction was used to detect relative expression of NUCKS1 mRNA in HCC tissues and corresponding adjacent normal tissues. The relationship between NUCKS1 expression and clinical characteristics of patients was analyzed by χ2 test. Kaplan-Meier method and Cox regression analysis were applied to estimate prognostic value of NUCKS1 in HCC. Results: Compared with normal ones, the expression of NUCKS1 mRNA was significantly upregulated in HCC tissues (p < 0.001). Besides, NUCKS1 expression was closely associated with tumor differentiation, tumor node metastasis stage, vascular invasion, and metastasis (p < 0.05). Kaplan-Meier analysis revealed that overall survival was obviously longer in HCC patients with low expression of NUCKS1 than those with high NUCKS1 expression (log rank test, p = 0.001). NUCKS1 might be an independent prognostic factor for HCC patients (HR = 1.905, 95% CI = 1.106-3.283, p = 0.020). Conclusions: NUCKS1 may be correlated with the progression of HCC and serve as a potential predictive factor for the prognosis of this disease.

A novel prognostic model based on AFP, tumor burden score and Albumin-Bilirubin grade for patients with hepatocellular carcinoma undergoing radiofrequency ablation

PURPOSE

The aim of this study was to develop prognostic scores, including the tumor burden score (TBS) and albumin-bilirubin (ALBI) grade, for evaluating the outcomes of hepatocellular carcinoma (HCC) patients after radiofrequency ablation (RFA).

MATERIALS AND METHODS

This retrospective study enrolled treatment-naïve HCC patients with BCLC 0-A who underwent RFA between January 2009 and December 2019. Regular follow-up was conducted after RFA to determine progression-free survival (PFS) and overall survival (OS). The patients were randomly allocated to the training or validation datasets in a 1:1 ratio. Preoperative prognostic scores were developed based on the results of multivariate analysis. The discriminatory ability of the scores was assessed using time-dependent AUC and compared with other models.

RESULTS

Serum alpha-fetoprotein (AFP) level and TBS were identified as independent prognostic factors for PFS, while serum AFP, TBS, and ALBI were identified as independent prognostic factors for OS in HCC patients after RFA. The time-dependent AUCs of the AFP-TBS score for the 1-, 3-, and 5-year PFS were 0.651, 0.667, and 0.620, respectively, in the training set, and 0.657, 0.687, and 0.704, respectively, in the validation set. For the 1-, 3-, and 5-year OS, the time-dependent AUCs were 0.680, 0.712, and 0.666, respectively, in the training set, and 0.712, 0.706 and 0.726 in the validation set for the AFP-TBS-ALBI score (ATA). The C-indices and AIC demonstrated that the scores provided better clinical benefits compared to other models.

CONCLUSION

The ATA/AT score, derived from clinical and objective laboratory variables, can assist in individually predicting the prognosis of HCC patients undergoing curative RFA.

Predicting post-resection recurrence by integrating imaging-based surrogates of distinct vascular patterns of hepatocellular carcinoma

Background & Aims

Distinct vascular patterns, including microvascular invasion (MVI) and vessels encapsulating tumour clusters (VETC), are associated with poor outcomes of hepatocellular carcinoma (HCC). Imaging surrogates of these vascular patterns potentially help to predict post-resection recurrence. Herein, a prognostic model integrating imaging-based surrogates of these distinct vascular patterns was developed to predict postoperative recurrence-free survival (RFS) in patients with HCC.

Methods

Clinico-radiological data of 1,285 patients with HCC from China undergoing surgical resection were retrospectively enrolled from seven medical centres between 2014 and 2020. A prognostic model using clinical data and imaging-based surrogates of MVI and VETC patterns was developed (n = 297) and externally validated (n = 373) to predict RFS. The surrogates (i.e. MVI and VETC scores) were individually built from preoperative computed tomography using two independent cohorts (n = 360 and 255). Whether the model's stratification was associated with postoperative recurrence following anatomic resection was also evaluated.

Results

The MVI and VETC scores demonstrated effective performance in their respective training and validation cohorts (AUC: 0.851-0.883 for MVI and 0.834-0.844 for VETC). The prognostic model incorporating serum alpha-foetoprotein, tumour multiplicity, MVI score, and VETC score achieved a C-index of 0.748-0.764 for the developing and external validation cohorts and generated three prognostically distinct strata. For patients at model-predicted medium risk, anatomic resection was associated with improved RFS (p <0.05). By contrast, anatomic resection had no impact on RFS in patients at model-predicted low or high risk (both p >0.05).

Conclusions

The proposed model integrating imaging-based surrogates of distinct vascular patterns enabled accurate prediction for RFS. It can potentially be used to identify HCC surgical candidates who may benefit from anatomic resection.

Impact and implications

MVI and VETC are distinct vascular patterns of HCC associated with aggressive biological behaviour and poor outcomes. Our multicentre study provided a model incorporating imaging-based surrogates of these patterns for preoperatively predicting RFS. The proposed model, which uses imaging detection to estimate the risk of MVI and VETC, offers an opportunity to help shed light on the association between tumour aggressiveness and prognosis and to support the selection of the appropriate type of surgical resection.

Updating the Clinical Application of Blood Biomarkers and Their Algorithms in the Diagnosis and Surveillance of Hepatocellular Carcinoma: A Critical Review

The most common primary liver cancer is hepatocellular carcinoma (HCC), and its mortality rate is increasing globally. The overall 5-year survival of patients with liver cancer is currently 10-20%. Moreover, because early diagnosis can significantly improve prognosis, which is highly correlated with tumor stage, early detection of HCC is critical. International guidelines advise using α-FP biomarker with/without ultrasonography for HCC surveillance in patients with advanced liver disease. However, traditional biomarkers are sub-optimal for risk stratification of HCC development in high-risk populations, early diagnosis, prognostication, and treatment response prediction. Since about 20% of HCCs do not produce α-FP due to its biological diversity, combining α-FP with novel biomarkers can enhance HCC detection sensitivity. There is a chance to offer promising cancer management methods in high-risk populations by utilizing HCC screening strategies derived from new tumor biomarkers and prognostic scores created by combining biomarkers with distinct clinical parameters. Despite numerous efforts to identify molecules as potential biomarkers, there is no single ideal marker in HCC. When combined with other clinical parameters, the detection of some biomarkers has higher sensitivity and specificity in comparison with a single biomarker. Therefore, newer biomarkers and models, such as the Lens culinaris agglutinin-reactive fraction of Alpha-fetoprotein (α-FP), α-FP-L3, Des-γ-carboxy-prothrombin (DCP or PIVKA-II), and the GALAD score, are being used more frequently in the diagnosis and prognosis of HCC. Notably, the GALAD algorithm was effective in HCC prevention, particularly for cirrhotic patients, regardless of the cause of their liver disease. Although the role of these biomarkers in surveillance is still being researched, they may provide a more practical alternative to traditional imaging-based surveillance. Finally, looking for new diagnostic/surveillance tools may help improve patients' survival. This review discusses the current roles of the most used biomarkers and prognostic scores that may aid in the clinical management of HCC patients.

Novel Nomograms Based on Gamma-Glutamyl Transpeptidase-to-Lymphocyte Ratio Predict Prognosis of Hepatocellular Carcinoma Patients After Hepatectomy

Background

The prediction of prognosis of hepatocellular carcinoma (HCC) is of great significance in improving disease outcome and optimizing clinical management, while reliable prognostic indicators are lacking. This study was conducted to develop readily-to-use nomograms for prognosis prediction of HCC after hepatectomy.

Materials and Methods

Data of eligible patients were collected and analyzed retrospectively. Independent prognostic factors were identified by Cox regression, and nomograms for the prediction of disease-free survival (DFS) and overall survival (OS) were developed. The performance of the nomograms was evaluated by receiver operating characteristics (ROC) curves, C-indexes and calibration curves and was verified by the validation cohort. The predictive value of the nomograms was also compared with the 8th edition of American Joint Committee on Cancer (AJCC) Tumor-Node-Metastasis (TNM) and the Barcelona Clinic Liver Cancer (BCLC) staging systems.

Results

In total, 599 patients were enrolled in the analysis: 420 in the training cohort and 179 in the validation cohort. The optimal cut-off value of Gamma-Glutamyl Transpeptidase-to-Lymphocyte Ratio (GLR) was 19.5. GLR contributed significantly to the nomograms with good predictive power. In ROC analyses, the areas under curve (AUCs) of the nomograms for 1-, 3- and 5-year DFS and OS prediction were 0.758, 0.756, 0.734 and 0.810, 0.799, 0.758, respectively. The C-indexes of the DFS nomogram were 0.697 (95% CI 0.665-0.729) in the training cohort and 0.710 (95% CI 0.664-0.756) in the validation cohort. For OS prediction, the C-indexes were 0.741 (95% CI 0.704-0.778) and 0.758 (95% CI 0.705-0.811) in the training and validation cohorts, respectively. The calibration curves demonstrated satisfactory agreement between nomogram predictions and actual observations. The nomograms demonstrated superior predictive performance to the TNM and the BCLC staging systems.

Conclusion

Our novel nomograms showed adequate performance in the prediction of HCC prognosis after hepatectomy, which may facilitate the risk stratification and individualized management of HCC patients.

Preoperative identification of cytokeratin 19 status of hepatocellular carcinoma based on diffusion kurtosis imaging

PURPOSE

To explore the potential value of diffusion kurtosis imaging (DKI) for identification of cytokeratin 19 (CK19) status of HCCs.

METHODS

This study was approved by the local institute review board and written informed consent was obtained. 73 patients with pathologically confirmed HCCs were included in this prospective study. All the diffusion-weighted (DW) images were acquired using a 3.0-T MR scanner with 4 b-values (0, 800, 1500 and 2000 s/mm²). The mean diffusion value (MD) and mean kurtosis coefficient (MK) from DKI, apparent diffusion coefficient (ADC) from DW imaging (b = 0, 500 s/mm²), and tumor-to-liver signal intensity ratios on ADC map (SIR_ADC) and DW images with b-value of 500 s/mm² (SIR_b500) were calculated and compared between CK19-positive (n = 23) and CK19-negative (n = 50) HCC groups. Univariate and multivariate logistic regression analyses were used to identify risk factors for the positive expression of CK19.

RESULTS

Increased a-fetoprotein level (p = 0.021) and SIR_b500 (p = 0.006) and decreased ADC (p = 0.021) and MD (p < 0.001) were significantly correlated with CK19-positive HCCs at univariate analysis. Decreased MD value (odds ratio: 0.042, p = 0.002) and a-fetoprotein level (odds ratio: 5.139, p = 0.015) were the independent risk factors for CK19-positive HCCs at multivariate analysis. The area under the curve of MD value by receiver operating characteristic analysis was 0.823 with a sensitivity of 86.96% and a specificity of 76% for the prediction of CK19-positive HCCs.

CONCLUSION

The decreased MD value derived from DKI is potential quantitative biomarker for predicting CK19-positive HCCs.

Radiomics signature based on CECT for non-invasive prediction of response to anti-PD-1 therapy in patients with hepatocellular carcinoma

PURPOSE

This study aimed to develop a radiomics signature (RS) based on contrast-enhanced computed tomography (CECT) and evaluate its potential predictive value in hepatocellular carcinoma (HCC) patients receiving anti-PD-1 therapy.

METHOD

CECT scans of 76 HCC patients who received anti-PD-1 therapy were obtained in this study (training group = 53 and validation group = 23). The least absolute shrinkage and selection operator (LASSO) regression was applied to select radiomics features of primary and metastatic lesions and establish a RS to predict lesion-level response. Then, a nomogram combined the mean RS (MRS) and clinical variables with patient-level response as the end point.

RESULTS

In the lesion-level analysis, the area under the curves (AUCs) of RS in the training and validation groups were 0.751 (95% CI, 0.668-0.835) and 0.734 (95% CI, 0.604-0.864), respectively. In the patient-level analysis, the AUCs of the nomogram in the training and validation groups were 0.897 (95% CI, 0.798-0.996) and 0.889 (95% CI, 0.748-1.000), respectively. The nomogram stratified patients into low- and high-risk groups, which showed a significant difference in progression-free survival (PFS) (p<0.05).

CONCLUSIONS

The RS is a noninvasive biomarker for predicting anti-PD-1 therapy response in patients with HCC. The nomogram may be of clinical use for identifying high-risk patients and formulating individualised treatments.

Impending Chemotherapeutic Impact of Arthrospira platensis Nanoparticles and/or Sorafenib against Hepatocellular Carcinoma through Modulation of Antioxidant Status, Tumor Marker Genes, and Anti-Inflammatory Signaling Pathways

This study investigated Arthrospira platensis nanoparticles (NSP) to overcome sorafenib resistance in diethyl nitrosamine-induced hepatocellular carcinoma (HCC) in rats. This study used sixty Wistar male rats randomly grouped into two main groups, the normal control group, and the HCC model. For the normal control group (n = 12), animals were injected i.p. with PBS two times/week for 16 weeks. The remaining 48 rats were injected i.p. with using a single dose of diethyl nitrosamine (DENA) (200 mg/kg, ip), followed by phenobarbital sodium (0.05%) in drinking water for 16 weeks. At the end of the 16th week, rats were allocated into four groups (11 rats/each), one group was left without treatment (DENA group), and the other three groups were treated with either sorafenib (30 mg/kg; p.o.) or Arthrospira platensis Nanoparticles (NSP) (0.5 mg/kg body weight) once daily orally with the aid of gastric gavage or their combination for another four weeks. Blood and tissue samples were collected for further biochemical, histological, immunohistochemical, and gene expression analysis. Our result revealed that DENA-treated rats showed a marked elevation of hepatic enzyme markers with an increase in the total protein and globulin and decreases in the hepatic SOD. Catalase and GSH, with significantly increased MDA levels, subsequently increased the tumor biomarkers (AFP and CEA). On the molecular level, the DENA-treated rats showed significant up-regulation of Cyp19 mRNA and the inflammatory cytokines (TNF-α, iNOS, and TGF-1β) as well as the Ki-67 gene expression (p < 0.05) with down-regulation of the PPAR-γ and FOXO-1. In addition, the HCC group showed a loss of hepatic architecture, as well as atypia, swelling, macrosteatosis of hepatocytes, and fibrosis, besides increased vascularization. The immunohistochemical findings show increased expression of both GPC-3 and Hep Par 1 in the HCC group. SOR, NSP, or a combination of NSP and SOR.NSP treatment significantly overturned the DENA's harmful effect near the normal levels and restored all cancer biomarkers and antioxidant activities, indicating the chemotherapeutic impact of NSP. The present study provides evidence that NSP exerts a major anticancer effect on DENA-induced HCC. SOR/NSP is a promising combination for tumor suppression and overcoming sorafenib resistance in HCC by modulating antioxidants, anti-inflammatory signals, and tumor markers.

Efficacy and Safety of Combined Ethanol-Lipiodol Mixture and Drug-Eluting Bead TACE for Large HCC

Purpose

To evaluate treatment response, survival and safety of a novel TACE using combination of ethanol-Lipiodol mixture and drug-eluting beads in patients with large unresectable HCC, single tumor >8 cm or multiple tumors with the largest tumor diameter >5 cm and total tumor diameter >10 cm.

Patients and Methods

Between June 2016 and February 2020, a total of 27 patients were enrolled in this retrospective cohort study. Treatment response was assessed at first month after the treatment; progression-free survival (PFS) and overall survival (OS) were evaluated. The prognostic factors associated with patient survival were statistically analyzed by the Cox regression model. Adverse events were recorded.

Results

The maximum diameter of the tumors ranged from 5 cm to 17 cm (mean 10.48 cm). The objective response and disease control rates were 56% and 78%, respectively, at 1-month follow-up. The median survival time was 15.9 months (95% CI, 9.03-34.76 months). The OS rates were 76.9% at six months, 65.2% at one year and 44.8% at two years. AFP >400 ng/mL (p = 0.0306), maximum tumor size >10cm (p = 0.0240) were potential risk factors for OS. Regarding safety, major complications occurred in one patient (1/27, 3.7%), presenting with transient hepatic encephalopathy.

Conclusion

Combined DEB-TACE appeared to have favorable objective tumor response. It can be an effective treatment option for large unresectable HCC.

Prognostic significance of combined α-fetoprotein and CA19-9 for hepatocellular carcinoma after hepatectomy

Background

The prognosis of hepatocellular carcinoma (HCC) varies considerably among patients with the same disease stage and characteristics, and only about two thirds show high levels of α-fetoprotein (AFP), a common prognostic indicator for HCC. Here, we assessed whether the combination of presurgical serum levels of AFP and carbohydrate antigen 19-9 (CA19-9) can predict the prognosis of HCC patients after hepatectomy.

Methods

The clinicopathological characteristics and post-hepatectomy outcomes of 711 HCC patients were retrospectively reviewed. The patients were classified into three groups based on whether their preoperative serum levels of both AFP and CA19-9 were higher than the respective cut-offs of 400 ng/ml and 37 U/ml [double positive (DP)], the level of only one marker was higher than the cut-off [single positive (SP)], or neither level was higher than the cut-off [negative (N)]. The overall survival (OS) and recurrence-free survival (RFS) rates were estimated using Kaplan–Meier curves. Univariate and multivariate survival analyses were performed to identify the clinicopathological factors significantly associated with HCC prognosis.

Results

The 1-year, 3-year, and 5-year RFS and OS rates in the N group were significantly higher than those in the SP group, while the DP group showed the lowest rates. Multivariate Cox regression analysis showed that large tumor size (> 5 cm), multiple tumors (≥ 2), incomplete tumor capsule, positive microvascular invasion, Barcelona Clinic Liver Cancer C stage, and CA19-9 level > 37 U/mL were independent risk factors for RFS and OS in HCC patients. Moreover, aspartate aminotransferase levels > 40 U/L proved to be an independent prognostic factor for OS.

Conclusion

The combination of serum AFP and CA19-9 levels may be a useful prognostic marker for HCC patients after hepatectomy.

Predictors of Hepatocellular Carcinoma Early Recurrence in Patients Treated with Surgical Resection or Ablation Treatment: A Single-Center Experience

Introduction: Hepatocellular carcinoma (HCC) is the sixth most diagnosed malignancy and the fourth leading cause of cancer-related death worldwide, with poor overall survival despite available curative treatments. One of the most crucial factors influencing survival in HCC is recurrence. The current study aims to determine factors associated with early recurrence of HCC in patients with BCLC Stage 0 or Stage A treated with surgical resection or local ablation. Materials and Methods: We retrospectively enrolled 58 consecutive patients diagnosed with HCC within BCLC Stage 0 or Stage A and treated either by surgical resection or local ablation with maximum nodule diameter < 50 mm. In the first year of follow-up after treatment, imaging was performed regularly one month after treatment and then every three months. Each case was discussed collectively by the Liver Multidisciplinary Group to decide diagnosis, treatment, follow-up, and disease recurrence. Variables resulting in statistically significant difference were then studied by Cox regression analysis; univariately and then multivariately based on forward stepwise Cox regression. Results are represented in hazard ratio (H.R.) with 95% confidence interval (C.I.). Results: There was no statistically significant difference in recurrence rates (34.8 vs. 45.7%, log-rank test, p = 0.274) between patients undergoing surgical resection and local ablation, respectively. Early recurrence was associated with male gender (HR 2.5, 95% C.I. 1.9−3.1), nodule diameter > 20 mm (HR 4.5, 95% C.I. 3.9−5.1), platelet count < 125 × 103 cell/mm3 (HR 1.6, 95% C.I. 1.2−1.9), platelet-lymphocyte ratio < 95 (HR 2.1, 95% C.I. 1.7−2.6), lymphocyte-monocyte ratio < 2.5 (HR 1.9, 95% C.I. 1.4−2.5), and neutrophil-lymphocyte ratio > 2 (HR 2.7, 95% C.I. 2.2−3.3). Discussion and Conclusions: Our results are in line with the current literature. Male gender and tumor nodule dimension are the main risk factors associated with early HCC recurrence. Platelet count and other combined scores can be used as predictive tools for early HCC recurrence, although more studies are needed to define cut-offs.

Novel postoperative nomograms for predicting individual prognoses of hepatitis B-related hepatocellular carcinoma with cirrhosis

Background

Liver cirrhosis is a well-known risk factor for carcinogenesis of hepatocellular carcinoma (HCC). The aim of the present study was to construct individual prognostic models for HCC with cirrhosis.

Methods

The clinical differences between HCC patients with and without cirrhosis were compared using a large cohort of 1003 cases. The patients with cirrhosis were randomly divided into a training cohort and a validation cohort in a ratio of 2:1. Univariate and multivariate analyses were performed to reveal the independent risk factors for recurrence-free survival (RFS) and overall survival (OS) in HCC patients with cirrhosis. These factors were subsequently used to construct nomograms.

Results

Multivariate analyses revealed that five clinical variables (hepatitis B e antigen (HBeAg) positivity, alpha-fetoprotein (AFP) level, tumour diameter, microvascular invasion (MVI), and satellite lesions) and seven variables (HBeAg positivity, AFP level, tumour diameter, MVI, satellite lesions, gamma-glutamyl transpeptidase level, and histological differentiation) were significantly associated with RFS and OS, respectively. The C-indices of the nomograms for RFS and OS were 0.739 (P < 0.001) and 0.789 (P < 0.001), respectively, in the training cohort, and 0.752 (P < 0.001) and 0.813 (P < 0.001), respectively, in the validation cohort. The C-indices of the nomograms were significantly higher than those of conventional staging systems (P < 0.001). The calibration plots showed optimal consistence between the nomogram-predicted and observed prognoses.

Conclusions

The nomograms developed in the present study showed good performance in predicting the prognoses of HCC patients with hepatitis B virus-associated cirrhosis.

Feasibility and Tolerability of Lenvatinib, Plus PD-1 Blockades for Patients with Unresectable Hepatocellular Carcinoma: A Retrospective Exploratory Study

Objective

Lenvatinib was the standard first-line therapy for patients with unresectable HCC. PD-1 blockades demonstrated promising efficacy for patients with previously-treated HCC. Therefore, this study was to investigate the feasibility and tolerability of lenvatinib plus PD-1 blockades for patients with unresectable HCC retrospectively.

Methods

A total of 37 patients with unresectable HCC who received lenvatinib plus PD-1 blockades in first-line setting were included in this study retrospectively. Efficacy of the patients was evaluated with the change of target lesion using mRECIST criteria per investigator and all the subjects were followed up regularly. Adverse reactions were collected and documented. Exploratory analysis between prognosis and baseline characteristics was performed using log rank test and multivariate analysis were performed using Cox regression analysis.

Results

The best overall response of the 37 patients suggested that complete response was observed in one patient, partial response was noted in 11 patients, stable disease was noted in 16 patients and 9 patients had progressive disease, which yielded an objective response rate (ORR) of 32.4% (95%CI: 18.0–49.8) and a disease control rate (DCR) of 75.7% (95%CI: 58.8–88.2). Furthermore, the median progression-free survival (PFS) of the 37 patients with advanced HCC was 8.3 months (95%CI: 3.34–13.26). And the median overall survival (OS) was 17.8 months (95%CI: 7.19–28.41). In addition, the median duration of response (DoR) in 12 patients with response was 9.6 months (95%CI: 3.03–16.17). Furthermore, adverse reactions that were attributed to the combination administration were detected in 36 patients (97.3%), among whom a total of 22 patients (59.5%) were observed of the grade ≥3 adverse reactions. And the most common adverse reactions were hypertension, fatigue, nausea and vomiting, and hepatotoxicity.

Conclusion

Lenvatinib plus PD-1 blockades demonstrated promising anticancer activity and acceptable toxicity for patients with unresectable HCC. And the conclusion should be validated in prospective clinical trials subsequently.

Nomogram for the Preoperative Prediction of the Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma

Background

The macrotrabecular-massive subtype of hepatocellular carcinoma (MTM-HCC) is an aggressive histological type and results in poor prognosis. We developed a nomogram model based on laboratory results to predict the presence of MTM-HCC.

Methods

A total of 357 HCC patients who underwent radical surgery between January 2015 and December 2020 at Ningbo Medical Center Lihuili Hospital were grouped according to histological type. After propensity score matching (PSM), 267 patients were divided into MTM-HCC (n = 76) and non-MTM-HCC (n = 191) groups. A LASSO regression analysis model was used to select predictive factors. Finally, a nomogram for predicting the presence of MTM-HCC was established. Decision curve analysis (DCA) was conducted to determine the clinical usefulness of the nomogram model by quantifying the net benefits along with the increase in threshold probabilities.

Results

The 1-, 3-, and 5-year disease-free survival (DFS) and overall survival (OS) rates for MTM-HCC were 60.0%, 36.0%, 32.4% and 92.1%, 68.7%, 52.2%, respectively. Survival analysis indicated that the probabilities of achieving DFS and OS were significantly worse in the MTM-HCC group than in the non-MTM-HCC group (P < 0.05). The nomogram model that included AST levels, PT and AFP levels achieved a better C-index of 0.723 (95% CI: 0.659-0.787). DCA revealed that the nomogram model could lead to net benefits and exhibited a wider range of threshold probabilities in the prediction of MTM-HCC.

Conclusion

The nomogram model included AST, PT and AFP could achieve an optimal performance in the preoperative prediction of MTM-HCC.

Preoperative and postoperative nomograms for predicting early recurrence of hepatocellular carcinoma without macrovascular invasion after curative resection

BACKGROUND

Postoperative early recurrence (ER) is a major obstacle to long-term survival after curative liver resection (LR) in patients with hepatocellular carcinoma (HCC). This study aimed to establish preoperative and postoperative nomograms to predict ER in HCC without macrovascular invasion.

METHODS

Patients who underwent curative LR for HCC between January 2012 and December 2016 were divided into training and internal prospective validation cohorts. Nomograms were constructed based on independent risk factors derived from the multivariate logistic regression analyses in the training cohort. The predictive performances of the nomograms were validated using the internal prospective validation cohort.

RESULTS

In total, 698 patients fulfilled the eligibility criteria. Among them, 265 of 482 patients (55.0%) in the training cohort and 120 of 216 (55.6%) patients in the validation cohort developed ER. The preoperative risk factors associated with ER were age, alpha-fetoprotein, tumor diameter, and tumor number, and the postoperative risk factors associated with ER were age, tumor diameter, tumor number, microvascular invasion, and differentiation. The pre- and postoperative nomograms based on these factors showed good accuracy, with concordance indices of 0.712 and 0.850 in the training cohort, respectively, and 0.754 and 0.857 in the validation cohort, respectively. The calibration curves showed optimal agreement between the predictions by the nomograms and actual observations. The area under the receiver operating characteristic curves of the pre- and postoperative nomograms were 0.721 and 0.848 in the training cohort, respectively, and 0.754 and 0.844 in the validation cohort, respectively.

CONCLUSIONS

The nomograms constructed in this study showed good performance in predicting ER for HCC without macrovascular invasion before and after surgery. These nomograms would be helpful for doctors when determining treatments and selecting patients for regular surveillance or administration of adjuvant therapies.

The impact of tumor burden at the initial hepatectomy on the recurrence-to-death survival after repeat surgical resection/radiofrequency ablation: a retrospective study

Background

Previous studies have reported the surgical resection (SR) and radiofrequency ablation (RFA) could achieve comparable recurrence-to-death survival (RTDS). However, the impact of primary tumor burden on RTDS of patients with recurrent hepatocellular carcinoma (HCC) following SR or RFA has not been clarified.

Methods

From January 2009 to March 2015, 171 patients who underwent initial hepatectomy and second curative treatments in West China Hospital were retrospectively analyzed. Survival analysis was performed by the Kaplan–Meier method. Risk factors were identified using the Cox proportional hazard model.

Results

At initial hepatectomy, 96 patients (56.1%) were diagnosed with HCC within the Milan criteria (MC), and 75 patients (43.9%) were HCC beyond the MC. The clinicopathological features and re-treatment methods of recurrent HCC were similar between patients with primary HCC within or beyond the MC. Patients with primary HCC within the MC had longer recurrence time (31.4 ± 24.2 months vs. 20.2 ± 16 months, P < 0.001). The 1- and 3- year RTDS within and beyond the MC group were 88.8%, 57.6% and 79.0%, 46.3%, respectively (P = 0.093). In multivariate analysis, the recurrence time, tumor size and AFP > 400 ng/mL at the time of recurrence were associated with RTDS.

Conclusions

The primary tumor burden had no impact on RTDS, but had an impact on recurrence time. The recurrence time had an impact on RTDS and might be a good index to reflect the biology of recurrent HCC.

Nimbolide attenuates gut dysbiosis and prevents bacterial translocation by improving intestinal barrier integrity and ameliorating inflammation in hepatocellular carcinoma

Gut microbiota imbalance plays a key pathological role in hepatocellular carcinoma (HCC) progression; however, the mechanism is poorly understood. We previously showed nimbolide impede tumor development by improving hepatic tight junction (TJ) proteins expression and attenuating inflammation in HCC mice. Here, we aimed to study the role of nimbolide in regulating gut microbiota imbalance and bacterial translocation (BT) through modulating intestinal TJ proteins in an experimental hepatocarcinogenesis. Nimbolide (6 mg/kg) was administered orally for 4 weeks following induction of HCC in mice at the 28th week. Nimbolide treatment attenuated the gut microbiota imbalance by decreasing 16 s rRNA levels of Escherichia coli, Enterococcus, Bacteroides and increasing Bifidobacterium, and Lactobacillus in the intestinal tissue, which was otherwise altered in HCC mice. Furthermore, nimbolide improved intestinal barrier integrity in HCC mice by upregulating TJ proteins such as occludin and ZO-1 expression and subsequently prevented hepatic BT and decreased BT markers such as LBP, sCD14, and procalcitonin in the plasma of HCC mice. Moreover, nimbolide ameliorated intestinal and hepatic inflammation by downregulating TLR4, MyD88, and NF-κB protein expression in HCC mice. Thus, nimbolide represents a novel therapeutic drug for HCC treatment by targeting the gut-liver axis, which plays an imperative role in HCC pathogenesis.

Biomarkers and Genetic Markers of Hepatocellular Carcinoma and Cholangiocarcinoma-What Do We Already Know

Simple Summary

Hepatocellular carcinoma and cholangiocarcinoma continue to remain a serious threat. In this review, we describe the most common biomarkers and genetic markers currently used in the diagnosis of hepatocellular carcinoma and cholangiocarcinoma. It can be observed that biomarkers and genetic markers might be applied in various parts of diagnosis including screening tests in a high-risk group, non-invasive detection, control of therapy, treatment selection, and control of recurrence. Also, it can be seen that nowadays there is a need for more specific markers that would improve the detection in early or very early stages of both types of cancers and further research should be focused on it.

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver cancer with an increasing worldwide mortality rate. Cholangiocarcinoma (CCA) is the second most common primary liver cancer. In both types of cancers, early detection is very important. Biomarkers are a relevant part of diagnosis, enabling non-invasive detection and control of cancer recurrence, as well as in the application of screening tests in high-risk groups. Furthermore, some of these biomarkers are useful in controlling therapy and treatment selection. Detection of some markers presents higher sensitivity and specificity in combination with other markers when compared with a single detection. Some gene aberrations are also prognostic markers in the two types of cancers. In the following review, we discuss the most common biomarkers and genetic markers currently being used in the diagnosis of hepatocellular carcinoma and cholangiocarcinoma.

Noninvasively predict the micro-vascular invasion and histopathological grade of hepatocellular carcinoma with CT-derived radiomics

Objectives

Methods

Results

Conclusion

Prediction of Multiple Serum Tumor Markers in Hepatolithiasis Complicated with Intrahepatic Cholangiocarcinoma

Objective

To evaluate the predictive value of multiple serum tumor markers in hepatolithiasis complicated with intrahepatic cholangiocarcinoma (hepatolithiasis-associated cholangiocarcinoma, HL-CCA).

Methods

From January 2010 to December 2020, three hundred eighty-five hepatolithiasis patients in Zhoukou Central Hospital were retrospectively analyzed, among them thirty patients complicated with intrahepatic cholangiocarcinoma. The levels of serum AFP, CA125, CA19-9, CA242, and CEA in hepatolithiasis or HL-CCA were measured. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic effects of single or combined detection of the five tumor markers for HL-CCA.

Results

The level of AFP was insignificantly different between the hepatolithiasis and HL-CCA (P=0.730). CA125, CA19-9, CA242 and CEA were elevated in HL-CCA. The area under ROC curves (AUCs) of the single detection of serum CA125, CA19-9, CA242 and CEA were all more than 0.5. The maximum AUC occurred in CA19-9. The AUC of AFP was slightly higher than 0.5, but the level of serum AFP was insignificantly different between hepatolithiasis and HL-CCA. The single detection of AFP was not of great significance to the differential diagnosis. The optimal cut-off values of CA125, CA19-9, CA242, and CEA were 104.09 kU/L, 383.28 U/mL, 152.56 kU/L, 6.29 ng/mL. The diagnostic effect of CA19-9 was the highest one for differential diagnosis between hepatolithiasis and HL-CCA. With reference to CA19-9 >383.28 U/mL, the sensitivity and specificity of the single detection were 80.00% and 82.61% respectively, and the AUC was 0.883. The diagnostic effect of CEA was secondary toward CA19-9. With reference to CEA >6.29 ng/mL, the sensitivity and specificity of the single detection were 66.67% and 83.76% respectively, and the AUC was 0.814.

Conclusion

Serum CA19-9 maybe the effective tumor marker in the diagnosis of HL-CCA, and measurement of combined serum tumor markers can help in the detection of HL-CCA.

Correlation of Clinicopathological Profile, Prognostic Factors, and Survival Outcomes with Baseline Alfa-Fetoprotein Levels in Patients With Hepatocellular Carcinoma: A Biomarker that is Bruised but Not Broken

BACKGROUND AND AIMS

The role of Alfa-fetoprotein (AFP) in the management of hepatocellular carcinoma (HCC) is still debated, with differences in recommendations between international guidelines. We analyzed the relationship of the clinicopathological profile, prognostic features, and survival outcomes with baseline serum AFP levels in patients with HCC.

METHODS

Retrospective analysis of a prospectively accrued dataset of consecutive HCC patients was done.

RESULTS

508 treatment naive patients were included in the analysis. AFP at presentation was normal (<10 ng/ml) in 18% patients. Patients with very high AFP (>400 ng/ml) had poor hepatic reserves (higher mean serum bilirubin, AST, ALT, INR, and lower mean albumin) and advanced disease at presentation (higher incidence of extrahepatic metastasis, and less proportion of patients with well-differentiated tumors). AFP >400 ng/ml was an independent predictor for presence of portal vein tumor thrombosis (PVTT) (OR, 4.08; 95% CI, 2.34-7.12; P < 0.001), higher tumor size (OR, 2.19; 95% CI, 1.36-3.54, P = 0.001) and advanced BCLC stage (OR, 4.19; 95% CI, 2.51-7.03; P < 0.001). Two-third of patients with small HCC (MTD <3 cm) and more than half with early-stage HCC (BCLC stage 0/A) had elevated AFP levels. No significant relationship was seen between overall survival (OS) and baseline AFP in patients who underwent surgery, but median OS in patients subjected to nonsurgical therapies was 19.4,10.5 and 5.7 months in patients having AFP <10 ng/ml, 10-400 ng/ml and >400 ng/ml respectively (P = 0.003). AFP >400 ng/ml was an independent predictor of survival in patients receiving any form of therapy (HR = 2.23; 95% CI = 1.19-4.18, P = 0.012).

CONCLUSION

AFP as a biomarker still has a significant role to play in the management of HCC patients and is here to stay till the search for an ideal biomarker in HCC is over.

Serum Sorbitol Dehydrogenase as a Novel Prognostic Factor for Hepatocellular Carcinoma after Surgical Resection

The majority of patients with hepatocellular carcinoma (HCC) undergoing curative resection experience tumor recurrence. To examine the association between preoperative serum sorbitol dehydrogenase (SORD), a liver-derived enzyme that reflects liver damage, and recurrence of HCC after curative resection, 92 patients were randomly selected who underwent curative resection for HCC between 2011 and 2012 from a prospective registry. Recurrence-free survival (RFS) was compared based on serum SORD levels. Cox proportional hazard models were used to investigate prognostic factors for RFS. During a median follow-up duration of 57.1 months, 43 patients experienced HCC recurrence. Patients with serum SORD ≥15 ng/mL (HR, 3.46; 95% CI, 1.76-6.81; p < 0.001) had worse RFS compared with patients with serum SORD <15 ng/mL. Serum AFP and SORD levels were two independent prognostic factors for RFS. When patients were stratified by baseline serum SORD and AFP levels, patients with serum AFP levels ≥400 ng/mL and serum SORD levels ≥15 ng/mL had a distinctly poor prognosis with the lowest RFS rates (HR, 22.08; 95% CI, 6.91-70.50; p < 0.001). Baseline serum SORD is an effective prognostic factor for HCC after resection. It may help guide patient selection for surgery, especially when combined with serum AFP levels.

Glypican-3 and hepatocyte paraffin-1 combined with alpha-fetoprotein as a novel risk scoring model for predicting early recurrence of hepatocellular carcinoma after curative resection

BACKGROUND

At present, the predictive model of postsurgical recurrence for hepatocellular carcinoma (HCC) is not well-established. The aim of this study was to develop a novel model for prediction of postsurgical recurrence and survival for HCC.

PATIENTS AND METHODS

Data from 112 patients who underwent curative liver resection from June 2014 to June 2017 in the First Affiliated Hospital of Kunming Medical University were collected retrospectively. Through the statistical analysis, we combined the results of glypican-3 (GPC3) and hepatocyte paraffin-1 (Heppar1) chemical staining in tumor tissues and preoperative alpha-fetoprotein (AFP) levels, and assigned risk scores to them, respectively, to establish an improved prognostic model for predicting recurrence in these patients.

RESULTS

By univariate and multivariate analysis, AFP level [cut-off value: 382 ng/ml, area under the curve (AUC) = 0.652, 95% confidence interval (CI) = 0.539-0.765, P < 0.05] and GPC3/Heppar1 expression pattern from 10 putative prognostic factors were entered in risk factor scoring model to conjecture the tumor recurrence. At 36 months after liver resection, the recurrence rate of high-risk group in the novel risk scoring model reached 45.6%, which was significantly higher than that of low-risk group (9.1%). In this experiment, the AUC value of the model was 0.741 (95% CI = 0.644-0.839, P < 0.001), which was the highest among all the elements.

CONCLUSION

The novel risk scoring model of combing AFP cut-off value and GPC3/Heppar1 were shown to be effective at predicting early recurrence of HCC after curative resection.

Survival improvement and prognosis for hepatocellular carcinoma: analysis of the SEER database

Background

Hepatocellular carcinoma (HCC) incidences have been increasing in the United States. This study aimed to examine temporal trend of HCC survival and determine prognostic factors influencing HCC survival within the U.S. population.

Methods

The Surveillance Epidemiology, and End Results (SEER) database was used to identify patients diagnosed with primary HCC from 1988 to 2015. Overall survival (OS) and disease-specific survival (DSS) were calculated by the Kaplan-Meier method. Univariate and multivariate Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for prognostic factors and comparing survival between patients diagnosed at different periods (per 5-year interval).

Results

A total of 80,347 patients were included. The proportions of both young patients (< 45 years) and old patients (≥75 years) decreased over time (P < 0.001) and the male-to-female ratio increased over time (P < 0.001). Significant decreasing temporal trends were observed for HCC severity at diagnosis, including SEER stage, tumor size, tumor extent, and lymph node involvement (P < 0.001 for all). OS and DSS of patients with HCC improved over time (P < 0.001). After adjusting for patient and tumor characteristics and treatment difference, period of diagnosis retained an independent factor for improved DSS and its prognostic significance was evident for localized and regional HCC (P < 0.001), but not for distant HCC. On multivariate analyses, young age, female gender, Hispanic ethnicity, and married status were predictors favoring DSS, whereas a worse DSS was observed for patients with tumor > 5 cm, with vascular invasion, and with lymph node involvement. Patients treated with liver-directed therapy (HR = 0.54, 95% CI: 0.35–0.56), hepatic resection (HR = 0.35, 95% CI: 0.33–0.37), and transplantation (HR = 0.14, 95% CI: 0.13–0.15) had significantly longer DSS compared with those who received no surgery. In stratified analyses, the beneficial effects of surgical approach, regardless therapy type, were significant across all stages.

Conclusions

Our results indicate a significant improvement in survival for HCC patients from 1988 to 2015, which may be attributable to advances in early diagnosis and therapeutic approaches.

Predict Early Recurrence of Resectable Hepatocellular Carcinoma Using Multi-Dimensional Artificial Intelligence Analysis of Liver Fibrosis

Simple Summary

Hepatocellular carcinoma (HCC) is the third most commonly diagnosed cancer in the world, and surgical resection is the commonly used curative management of early-stage disease. However, the recurrence rate is high after resection, and liver fibrosis has been thought to increase the risk of recurrence. Conventional histological staging of fibrosis is highly subjective to observer variations. To overcome this limitation, we used a fully quantitative fibrosis assessment tool, qFibrosis (utilizing second harmonic generation and two-photon excitation fluorescence microscopy), with multi-dimensional artificial intelligence analysis to establish a fully-quantitative, accurate fibrotic score called a “combined index”, which can predict early recurrence of HCC after curative intent resection. Therefore, we can pay more attention on the patients with high risk of early recurrence.

Abstract

Background: Liver fibrosis is thought to be associated with early recurrence of hepatocellular carcinoma (HCC) after resection. To recognize HCC patients with higher risk of early recurrence, we used a second harmonic generation and two-photon excitation fluorescence (SHG/TPEF) microscopy to create a fully quantitative fibrosis score which is able to predict early recurrence. Methods: The study included 81 HCC patients receiving curative intent hepatectomy. Detailed fibrotic features of resected hepatic tissues were obtained by SHG/TPEF microscopy, and we used multi-dimensional artificial intelligence analysis to create a recurrence prediction model “combined index” according to the morphological collagen features of each patient’s non-tumor hepatic tissues. Results: Our results showed that the “combined index” can better predict early recurrence (area under the curve = 0.917, sensitivity = 81.8%, specificity = 90.5%), compared to alpha fetoprotein level (area under the curve = 0.595, sensitivity = 68.2%, specificity = 47.6%). Using a Cox proportional hazards analysis, a higher “combined index” is also a poor prognostic factor of disease-free survival and overall survival. Conclusions: By integrating multi-dimensional artificial intelligence and SHG/TPEF microscopy, we may locate patients with a higher risk of recurrence, follow these patients more carefully, and conduct further management if needed.

Integrated analysis of the rhesus monkey liver transcriptome during development and human primary HCC AFP-related gene expression

Embryonic development and tumorigenesis have a certain degree of similarity. Alpha-fetoprotein (AFP), a protein related to embryonic development, is a well-known biomarker for the diagnosis and prognosis of hepatocellular carcinoma (HCC). In this study, we analyzed the differences in gene expression profiles and molecular mechanisms in human HCC tissues from patients in AFP^high (serum AFP level ≥ 25 ng/mL) and AFP^low (serum AFP level < 25 ng/mL) groups. The results indicated that AFP^high HCC has more malignant biological characteristics. Single-sample gene set enrichment analysis (ssGSEA) showed significantly higher levels of genes expressed in dendritic cells, neutrophils, and natural killer cells in the AFP^low group than in the AFP^high group. Then, we defined a rhesus monkey fetal liver developmental landscape and compared it to the HCC gene expression profile. The gene signatures of AFP^high HCC tissues were similar to those of early embryonic liver tissues. In this study, we comprehensively analyzed the rhesus monkey liver transcriptome during development and human primary HCC AFP-related gene expression profiles and clarified the function of AFP in the occurrence and development of HCC from the perspective of developmental biology, which might provide a new perspective on the pathogenesis of HCC.

Argentinian clinical practice guideline for surveillance, diagnosis, staging and treatment of hepatocellular carcinoma

The A.A.E.E.H has developed this guideline for the best care of patients with hepatocellular carcinoma (HCC) from Argentina. It was done from May 2018 to March 2020. Specific clinical research questions were systematically searched. The quality of evidence and level of recommendations were organized according to GRADE. HCC surveillance is strongly recommended with abdominal ultrasound (US) every six months in the population at risk for HCC (cirrhosis, hepatitis B or hepatitis C); it is suggested to add alpha-feto protein (AFP) levels in case of inexeperienced sonographers. Imaging diagnosis in patients at risk for HCC has high specificity and tumor biopsy is not mandatory. The Barcelona Clinic Liver Cancer algorithm is strongly recommended for HCC staging and treatment-decision processes. Liver resection is strongly recommended for patients without portal hypertension and preserved liver function. Composite models are suggested for liver transplant selection criteria. Therapies for HCC with robust clinical evidence include transarterial chemoembolization (TACE) and first to second line systemic treatment options (sorafenib, lenvatinib, regorafenib, cabozantinib and ramucirumab). Immunotherapy with nivolumab and pembrolizumab has failed to show statistical benefit but the novel combination of atezolizumab plus bevacizumab has recently shown survival benefit over sorafenib in frontline.

Drug-eluting beads-transarterial chemoembolization plus microwave ablation is an effective and safe treatment strategy in treating hepatocellular carcinoma adjacent to gallbladder

The present study aimed to compare the efficacy and safety of drug-eluting beads-transarterial chemoembolization (DEB-TACE) plus microwave ablation (MWA) versus (vs.) surgery in treating patients with hepatocellular carcinoma (HCC) adjacent to gallbladder. Totally 54 patients with HCC adjacent to gallbladder were included and divided into two groups: DEB-TACE plus MWA group (n = 24) and surgery group (n = 30). Treatment response, relapse-free survival (RFS), progression-free survival (PFS), overall survival (OS) and adverse events were assessed and documented. For DEB-TACE plus MWA group, complete response rate, objective response rate and disease control rate were 79.2%, 95.8% and 100.0% after one-month post treatment, respectively. In terms of survival profiles, DEB-TACE plus MWA group presented similar RFS (28.2 (95% CI: 12.5-43.9) months vs. 26.6 (95% CI: 19.2-34.1) months) (P = 0.930), PFS (21.2 (95% CI: 1.6-40.8) months vs. 26.6 (95% CI: 19.2-34.1) months) (P = 0.541), and OS (41.4 (95% CI: 35.0-47.9) months vs. 59.7 (95% CI: 51.7-67.7) months) (P = 0.138) compared with surgery group, and further multivariate Cox's regression analysis validated that, after adjustment of confounding factors, DEB-TACE plus MWA group exhibited no difference of RPS, PFS or OS compared with surgery group. Regarding safety, the intraoperative adverse event incidence was higher in DEB-TACE plus MWA group compared with surgery group (P = 0.008), while two groups exhibited no difference of postoperative adverse event incidence (P = 0.618). In conclusion, DEB-TACE plus MWA presents to be an optional treatment strategy in patients with HCC adjacent to gallbladder.

Revealing the clinical significance and prognostic value of small nucleolar RNA SNORD31 in hepatocellular carcinoma

BACKGROUND

For lack of accurate early diagnosis and prognostic assessment, hepatocellular carcinoma (HCC) becomes severe challenge with the fourth cancer-related mortality. Recently, non-coding RNA (ncRNA) was identified to make functions in progression of various tumors. Among that, a novel ncRNA, small nucleolar RNA C/D box 31 (SNORD31) was suggested in previous study to function as potential tumor suppressing role. In the present study, we aimed to investigate the expression patterns and clinical significance of SNORD31 in HCC.

METHODS

SNORD31 expression was calculated in HCC cell lines as well as clinical specimens by RT-PCR. HCC patients were subdivided into high and low SNORD31 expression groups and their clinical characteristics were compared. Besides, the association between SNORD31 expression and postoperative prognosis was evaluated using Kaplan-Meier and Cox regression analysis.

RESULTS

Compared with corresponding normal reference, expression levels of SNORD31 were significantly down-regulated in both HCC cell lines and clinical specimens (P<0.01). Moreover, low SNORD31 expression was remarkably correlated with large tumor diameter, high incidence of vessel carcinoma embolus and capsular invasion, severe tumor differentiation and tumor-node-metastasis (TNM) stage (P<0.05). In the following analysis, HCC patients with low SNORD31 expression were independently inclined with poor tumor-free (median time: 9.17 vs 48.8 months, low vs high, P<0.001) as well as long-term survival (LTS; median time: 40.26 vs 55.41 months, low vs high, P=0.002).

CONCLUSIONS

The ncRNA SNORD31 was proved to be commonly down-regulated in HCC and was independently associated with multiple malignant characteristics and long-term prognosis of HCC patients, which implied that SNORD31 possessed potential as a novel HCC biomarker.

Association of Postoperative Biomarker Response with Recurrence and Survival in Patients with Hepatocellular Carcinoma and High Alpha-Fetoprotein Expressions (>400 ng/ml)

Background

High alpha-fetoprotein (AFP) expressions (>400 ng/mL) are associated with poor oncological characteristics for hepatocellular carcinoma (HCC). However, prognosis after liver resection for high-AFP HCC is poorly studied. To investigate long-term recurrence and survival after hepatectomy for high-AFP HCC, and to identify the predictive value of postoperative incomplete biomarker response (IBR) on overall survival (OS) and recurrence-free survival (RFS).

Methods

Patients undergoing curative resection for high-AFP HCC were analyzed. According to the decline magnitude of serum AFP as measured at first follow-up (4~6 weeks after surgery), all patients were divided into the complete biomarker response (CBR) and IBR groups. Characteristics, recurrence, and survival rates were compared. Univariate and Multivariate Cox-regression analyses were performed to identify independent predictors associated with poorer OS and RFS after liver resection for high-AFP HCC.

Results

Among 549 patients, the overall and early recurrence rates in patients with IBR were significantly higher than patients with CBR (97.8%vs.56.4%, and 92.5%vs.33.3%, both P<0.001). On multivariate analysis, postoperative IBR was the strongest risk factor with the highest hazard ratio in predicting poor OS (HR 2.97; 95% CI 2.49~3.45; P<0.001) and RFS (HR 4.29; 95% CI 3.31~5.55; P<0.001).

Conclusion

Postoperative biomarker response of serum AFP can be used in predicting recurrence and survival for high-AFP HCC patients. Once postoperative IBR was identified at first follow-up, subsequent enhanced recurrence surveillance and available treatments against recurrence should actively be considered.

AMD1 upregulates hepatocellular carcinoma cells stemness by FTO mediated mRNA demethylation

BACKGROUND

S-adenosylmethionine decarboxylase proenzyme (AMD1) is a key enzyme involved in the synthesis of spermine (SPM) and spermidine (SPD), which are associated with multifarious cellular processes. It is also found to be an oncogene in multiple cancers and a potential target for tumor therapy. Nevertheless, the role AMD1 plays in hepatocellular carcinoma (HCC) is still unknown.

METHODS

HCC samples were applied to detect AMD1 expression and evaluate its associations with clinicopathological features and prognosis. Subcutaneous and orthotopic tumor mouse models were constructed to analyze the proliferation and metastasis of HCC cells after AMD1 knockdown or overexpression. Drug sensitive and tumor sphere assay were performed to investigate the effect of AMD1 on HCC cells stemness. Real-time quantitative PCR (qRT-PCR), western blot, immunohistochemical (IHC) and m6A-RNA immunoprecipitation (Me-RIP) sequencing/qPCR were applied to explore the potential mechanisms of AMD1 in HCC. Furthermore, immunofluorescence, co-IP (Co-IP) assays, and mass spectrometric (MS) analyses were performed to verify the proteins interacting with AMD1.

RESULTS

AMD1 was enriched in human HCC tissues and suggested a poor prognosis. High AMD1 level could promote SRY-box transcription factor 2 (SOX2), Kruppel like factor 4 (KLF4), and NANOG expression of HCC cells through obesity-associated protein (FTO)-mediated mRNA demethylation. Mechanistically, high AMD1 expression increased the levels of SPD in HCC cells, which could modify the scaffold protein, Ras GTPase-activating-like protein 1 (IQGAP1) and enhance the interaction between IQGAP1 and FTO. This interaction could enhance the phosphorylation and decrease the ubiquitination of FTO.

CONCLUSIONS

AMD1 could stabilize the interaction of IQGAP1 with FTO, which then promotes FTO expression and increases HCC stemness. AMD1 shows prospects as a prognostic predictor and a therapeutic target for HCC.

Hepatitis B Virus Reactivation Potential Risk Factors in Hepatocellular Carcinoma via Transcatheter Arterial Chemoembolization: A Retrospective Research

BACKGROUND

To explore the clinical characteristics of reactivation of hepatitis B virus (HBV) in hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE). The pathological correlation of prognosis and hepatitis B virus reactivation has been given detailed analyses in our research.

METHODS

A total of 108 related TACE-treated HCC clinical data from January 2008 to January 2016 was gleaned and involved in this retrospective analysis. To lucubrate the nuance of survival rates between HBV reactivated group and HBV nonreactivated group, clinical data of each patient was analyzed in detail and refined the retrospective studies.

RESULTS

HBV reactivation occurred in 42 patients with a proportion of 38.9%. The detected HBV DNA level ≥10⁴ in patients showed a reactivation rate of 65.8% (25/38), which was significantly higher than the HBV DNA < 10⁴ cases (24.3%, 17/70). Research data revealed a conspicuous lower cellular immunity (P < 0.01) and better 2-year survival rate (P=0.03) in the HBV-reactivated group when compared to the nonreactivated group.

CONCLUSION

Some of the patients with primary hepatocellular carcinoma possibly had HBV reactivation at post-TACE-therapy. And the predominant risk factors of HBV reactivation are positive HBV test and immunosuppression. Our study suggested that HBV reactivation at post-TACE-therapy is an independent predictor of poor prognosis and low survival rate as well as a crucial reason for poor prognosis and lower survival rate, which indirectly proved that it is urgent to necessitate the antiviral therapy and immune enhancer in improving the curative effect and prognosis of HCC patients.

Nimbolide inhibits tumor growth by restoring hepatic tight junction protein expression and reduced inflammation in an experimental hepatocarcinogenesis

BACKGROUND

Altered tight junction (TJ) proteins are correlated with carcinogenesis and tumor development. Nimbolide is a tetranotriterpenoid that has been shown to have antioxidant and anti-proliferative properties; however, its anticancer effects and molecular mechanism in hepatocellular carcinoma (HCC) remains obscure.

AIM

To investigate the effect of nimbolide on TJ proteins, cell cycle progression, and hepatic inflammation in a mouse model of HCC.

METHODS

HCC was induced in male Swiss albino mice (CD-1 strain) by a single intraperitoneal injection of 100 mg/kg diethylnitrosamine (DEN) followed by 80 ppm N-nitrosomorpholine (NMOR) in drinking water for 28 wk. After 28 wk, nimbolide (6 mg/kg) was given orally for four consecutive weeks in DEN/NMOR induced HCC mice. At the end of the 32^nd week, all the mice were sacrificed and blood and liver samples were collected for various analyses. Macroscopic examinations of hepatic nodules were assessed. Liver histology and HCC tumor markers such as alpha-fetoprotein (AFP) and glypican-3 were measured. Expression of TJ proteins, cell proliferation, and cell cycle markers, inflammatory markers, and oxidative stress markers were analyzed. In silico analysis was performed to confirm the binding and modulatory effect of nimbolide on zonula occludens 1 (ZO-1), nuclear factor of kappa light polypeptide gene enhancer in B-cells (NF-κB), and tumor necrosis factor alpha (TNF-α).

RESULTS

We found nimbolide treatment at a concentration of 6 mg/kg to HCC mice reduced hepatic tumor size by 52.08% and tumor volume (P < 0.01), and delayed tumor growth in HCC mice with a concomitant reduction in tumor markers such as AFP levels (P < 0.01) and glypican-3 expression (P < 0.05). Furthermore, nimbolide treatment increased tight junction proteins such as ZO-1 and occludin expression (P < 0.05, respectively) and reduced ZO-1 associated nucleic acid binding protein expression (P < 0.001) in HCC mice liver. Nimbolide treatment to HCC mice also inhibited cell proliferation and suppressed cell cycle progression by attenuating proliferating cell nuclear antigen (P < 0.01), cyclin dependent kinase (P < 0.05), and CyclinD1 (P < 0.05) expression. In addition, nimbolide treatment to HCC mice ameliorated hepatic inflammation by reducing NF-κB, interleukin 1 beta and TNF-α expression (P < 0.05, respectively) and abrogated oxidative stress by attenuating 4-hydroxynonenal expression (P < 0.01). Molecular docking studies further confirmed that nimbolide interacts with ZO-1, NF-κB, and TNF-α.

CONCLUSION

Our current study showed for the first time that nimbolide exhibits anticancer effect by reducing tumor size, tumor burden and by suppressing cell cycle progression in HCC mice. Furthermore, nimbolide treatment to HCC mice ameliorated inflammation and oxidative stress, and improved TJ proteins expression. Consequently, nimbolide could be potentially used as a natural therapeutic agent for HCC treatment, however further human studies are warranted.

Association of inflammatory biomarkers with clinical outcomes in nivolumab-treated patients with advanced hepatocellular carcinoma

BACKGROUND & AIMS

Nivolumab, a programmed death (PD)-1 (PD-1) inhibitor, led to durable responses, manageable safety, and increased survival in patients with advanced hepatocellular carcinoma (HCC). In our retrospective analysis, we studied the immunobiology and potential associations between biomarkers and outcomes with nivolumab in HCC.

METHODS

Fresh and archival tumour samples from dose-escalation and dose-expansion phases of the CheckMate 040 trial were analysed by immunohistochemistry and RNA sequencing to assess several inflammatory gene expression signatures, including CD274 (PD-ligand 1 [PD-L1]), CD8A, LAG3, and STAT1. Biomarkers were assessed for association with clinical outcomes (best overall response by blinded independent central review per RECIST v1.1 and overall survival [OS]).

RESULTS

Complete or partial tumour responses were observed in PD-L1-positive and PD-L1-negative patients treated with nivolumab monotherapy. Median OS was 28.1 (95% CI 18.2-n.a.) vs. 16.6 months (95% CI 14.2-20.2) for patients with tumour PD-L1 ≥1% vs. <1% (p = 0.03). Increased CD3 and CD8 showed a non-significant trend towards improved OS (both p = 0.08), and macrophage markers were not associated with OS. Tumour PD-1 and PD-L1 expression were associated with improved OS (p = 0.05 and p = 0.03, respectively). An inflammatory gene signature consisting of 4 genes was associated with improved objective response rate (p = 0.05) and OS (p = 0.01).

CONCLUSIONS

PD-1 and PD-L1 expression, biomarkers of inflammation, and inflammatory gene signatures trended with improved survival and response. While further confirmation within a larger phase III trial is needed to evaluate predictive value of these biomarkers, these exploratory analyses suggest that anti-tumour immune response may play a role in the treatment benefit of nivolumab in HCC.

LAY SUMMARY

Certain tests may be used to provide a picture of how a tumour is escaping the immune system, allowing it to continue to grow and create more tumours. Therapies such as nivolumab are designed to help the immune system fight the tumour. These tests may be used to determine how effective such therapies will be in the treatment of advanced liver cancer.

NCT NUMBER

NCT01658878.

Hepatocellular Carcinoma Demonstrates Heterogeneous Growth Patterns in a Multicenter Cohort of Patients With Cirrhosis

BACKGROUND AND AIMS

There are limited data on hepatocellular carcinoma (HCC) growth patterns, particularly in Western cohorts, despite implications for surveillance, prognosis, and treatment. Our study's aim was to quantify tumor doubling time (TDT) and identify correlates associated with indolent and rapid growth.

APPROACH AND RESULTS

We performed a retrospective multicenter cohort study of patients with cirrhosis diagnosed with HCC from 2008 to 2017 at six US and European health systems with two or more contrast-enhanced imaging studies performed ≥ 30 days apart prior to HCC treatment. Radiologists independently measured tumors in three dimensions to calculate TDT and specific growth rate (SGR). We used multivariable ordinal logistic regression to identify factors associated with indolent (TDT > 365 days) and rapid (TDT < 90 days) tumor growth. In the primary cohort (n = 242 patients from four centers), median TDT was 229 days (interquartile range [IQR], 89-627) and median SGR was 0.3% per day (IQR, 0.1%-0.8%). Over one-third (38%) of HCCs had indolent growth, 36.8% intermediate growth, and 25.2% rapid growth. In multivariable analysis, indolent growth was associated with larger tumor diameter (odds ratio [OR], 1.15, 95% confidence interval [CI], 1.03-1.30) and alpha-fetoprotein < 20 ng/mL (OR, 1.90; 95% CI, 1.12-3.21). Indolent growth was more common in nonviral than viral cirrhosis (50.9% versus 32.1%), particularly in patients with T1 HCC (OR, 3.41; 95% CI, 1.08-10.80). Median TDT (169 days; IQR 74-408 days) and SGR (0.4% per day) were similar in an independent cohort (n = 176 patients from two centers).

CONCLUSIONS

In a large Western cohort of patients with HCC, we found heterogeneous tumor growth patterns, with one-fourth exhibiting rapid growth and over one-third having indolent growth. Better understanding different tumor growth patterns may facilitate a precision approach to prognostication and treatment.

Role of Biomarkers and Biopsy in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is increasing in prevalence and is the third leading cause of cancer-related death worldwide. Unlike other malignancies, HCC can be diagnosed with dynamic imaging with very high accuracy, and tissue diagnosis is not needed for cancer therapy. There is a unique role of established as well as developing biomarkers in diagnosis, prognosis, and management of HCC. Sequencing HCC tumors has yielded substantial insights into HCC tumor biology and has raised the possibility of precision oncology in which therapy decisions are guided by cancer genetics. However, it is not ready for prime time yet.

Robotic Distal Pancreatectomy and Splenectomy for an Intrapancreatic Hepatocellular Carcinoma: A Case Report and Review of the Literature

Background: Liver parenchyma that resides outside of the normal hepatic confines is defined as accessory liver if in communication with the native biliary tree, or ectopic liver (EL) if it is not. EL can develop in a variety of tissues, including but not limited to the gallbladder, the hepatic ligaments, the pancreas, and retroperitoneum. EL has an increased propensity for malignant degeneration resulting in hepatocellular carcinoma (HCC). Presentation: A 67-year-old Korean male presented with epigastric discomfort and was found to have an elevation in his transaminases. Cross-sectional imaging demonstrated a 1.3 cm solid mass in the body of the pancreas with features concerning for either a pancreatic ductal adenocarcinoma or pancreatic neuroendocrine tumor. Subsequent endoscopic ultrasound and fine needle aspiration demonstrated cells of epithelial origin with hepatocellular differentiation. A robotic-assisted distal pancreatectomy and splenectomy was performed with final pathology demonstrating a well-differentiated HCC. Conclusions: EL with malignant degeneration resulting in HCC requires surgical excision. The majority of patients reported with EL resulting in HCC in the pancreas have had the tumors located in the body and tail. Therefore, definitive treatment requires distal pancreatectomy and splenectomy. Herein, we describe the presentation, workup, and definitive treatment of HCC arising in the pancreas.

Outcomes of Liver Transplantation for Hepatocellular Carcinoma Beyond the University of California San Francisco Criteria: A Single-center Experience

BACKGROUND

Hepatocellular carcinoma (HCC) is the most common primary malignant liver tumor. Currently, liver transplantation may be the optimal treatment for HCC in cirrhotic patients. Patient selection is currently based on tumor size. We developed a program to offer liver transplantation to selected patients with HCC outside of traditional criteria.

METHODS

Retrospective review for patients transplanted with HCC between April 2008 and June 2017. Patients were grouped by tumor size according to Milan, University of California San Francisco (UCSF), and outside UCSF criteria. Patient demographics, laboratory values, and outcomes were compared. Patients radiographically outside Milan criteria were selected based on tumor control with locoregional therapy (LRT) and 9 months of stability from LRT. α-fetoprotein values were not exclusionary.

RESULTS

Two hundred twenty HCC patients were transplanted, 138 inside Milan, 23 inside UCSF, and 59 beyond UCSF criteria. Patient survival was equivalent at 1, 3, or 5 years despite pathologic tumor size. Waiting time to transplantation was not significantly different at an average of 344 days. In patients outside UCSF, tumor recurrence was equivalent to Milan and UCSF criteria recipients who waited >9 months from LRT. Although tumor recurrence was more likely in outside of UCSF patients (3% versus 9% versus 15%; P = 0.02), recurrence-free survival only trended toward significance among the groups (P = 0.053).

CONCLUSIONS

Selective patients outside of traditional size criteria can be effectively transplanted with equivalent survival to patients with smaller tumors, even when pathologic tumor burden is considered. Tumor stability over time can be used to help select patients for transplantation.

A genetic variant in the promoter of CD46 is associated with the risk and prognosis of hepatocellular carcinoma

CD46 (also known as membrane cofactor protein), which is a member of the membrane-bound complement regulatory protein family, has been reported to cause cancer cells to escape complement-dependent cytotoxicity. However, the association between CD46 polymorphisms and the risk of hepatocellular carcinoma (HCC) has not been investigated. This two-stage association study was conducted to assess the relationship between the tagging single nucleotide polymorphisms (tagSNPs) of CD46 and HCC risk and prognosis. A series of functional analyses were performed to study the underlying mechanisms. Among the eight tagSNPs, rs2796267 (P = .003) and rs2796268 (P = .011) were found to modify HCC risk in the discovery set. Only rs2796267 (P < .0001) was confirmed to be associated with HCC susceptibility in the validation set. Compared with the wild-type AA genotype, the GG genotype significantly increased the HCC risk (adjusted odds ratio [OR] = 2.03; 95% confidence interval [CI], 1.34-3.08; P = .001). Moreover, subgroups analysis suggested a positive correlation among male and younger patients, especially among drinkers, smokers, and hepatitis B surface antigen-positive individuals. In functional analyses, we found that the rs2796267 G allele in the promoter region of CD46 could increase the expression of CD46 by affecting the binding affinity of STAT5a. Furthermore, Cox regression analysis revealed that the rs2796267 AG/GG genotype was significantly associated with worse prognosis of resected patients with HCC (hazard ratio = 2.27; 95% CI, 1.27-4.05; P = .006). These results suggest that the CD46 rs2796267 polymorphism may contribute to susceptibility and prognosis of HCC by altering promoter activity.