Extracellular vesicles derived from human umbilical cord mesenchymal stem cells alleviate rat hepatic ischemia-reperfusion injury by suppressing oxidative stress and neutrophil inflammatory response.

Mesenchymal stem cells (MSCs) have been reported to exert therapeutic effects on immunoregulation, tissue repair, and regeneration from the bench to the bedside. Increasing evidence demonstrates that extracellular vesicles (EVs) derived from MSCs could contribute to these effects and are considered as a potential replacement for stem cell-based therapies. However, the efficacy and underlying mechanisms of EV-based treatment in hepatic ischemia-reperfusion injury (IRI) remain unclear. Here, we demonstrated that human umbilical cord MSC-EVs (huc-MSC-EVs) could protect against IRI-induced hepatic apoptosis by reducing the infiltration of neutrophils and alleviating oxidative stress in hepatic tissue in vivo. Meanwhile, huc-MSC-EVs reduced the respiratory burst of neutrophils and prevented hepatocytes from oxidative stress-induced cell death in vitro. Interestingly, we found that the mitochondria-located antioxidant enzyme, manganese superoxide dismutase (MnSOD), was encapsulated in huc-MSC-EVs and reduced oxidative stress in the hepatic IRI model. Knockdown of MnSOD in huc-MSCs decreased the level of MnSOD in huc-MSC-EVs and attenuated the antiapoptotic and antioxidant capacities of huc-MSC-EVs, which could be partially rescued by MnSOD mimetic manganese (III) 5,10,15,20-tetrakis (4-benzoic acid) porphyrin (MnTBAP). In summary, these findings provide new clues to reveal the therapeutic effects of huc-MSC-EVs on hepatic IRI and evaluate their preclinical application.-Yao, J., Zheng, J., Cai, J., Zeng, K., Zhou, C., Zhang, J., Li, S., Li, H., Chen, L., He, L., Chen, H., Fu, H., Zhang, Q., Chen, G., Yang, Y., Zhang, Y. Extracellular vesicles derived from human umbilical cord mesenchymal stem cells alleviate rat hepatic ischemia-reperfusion injury by suppressing oxidative stress and neutrophil inflammatory response.

Systemic Immune-Inflammation Index (SII) is Useful to Predict Survival Outcomes in Patients After Liver Transplantation for Hepatocellular Carcinoma within Hangzhou Criteria.

BACKGROUND: There is growing evidence that the systemic immune-inflammation index (SII), a novel prognostic biomarker based on peripheral lymphocyte, neutrophil, and platelet counts, is associated with poor prognosis for several tumors. However, the prognostic value of SII in patients with hepatocellular carcinoma (HCC) who undergo liver transplantation (LT) remains unclear. The aim of this study was to determine the correlation between SII and prognosis in these patients. METHODS: This retrospective study involved 150 patients with HCC who underwent LT within the Hangzhou criteria. The optimal cut-off value was determined by receiver-operating characteristic (ROC) curve analysis to stratify the patients into those with a high SII and those with low SII. The Kaplan-Meier method and the Cox proportional hazards model were used to evaluate the prognostic value of SII. Finally, we calculated the area under the ROC curve to compare the prognostic power of SII, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR). RESULTS: Patients were divided into high SII (≥ 226) and low SII (< 226) groups. Five-year overall survival (OS) was lower in the high SII group than in the low SII group (56.1% vs. 82.4%, p = 0.002). SII ≥ 226 × 109/L, maximum tumor size> 5 cm, microvascular invasion, and poor differentiation were independent prognostic factors for OS. However, SII did not predict 5-year recurrence-free survival (high vs. low SII: 64.1% vs. 78.4%, p = 0.073). The area under the ROC curve was greater for SII than for PLR, NLR, and MLR. CONCLUSIONS: Preoperative SII may be a powerful prognostic biomarker in patients with HCC who undergo LT within the Hangzhou criteria. SII is superior to PLR, NLR, and MLR for prediction of OS in these patients.

Preoperative Alfa-Fetoprotein and Fibrinogen Predict Hepatocellular Carcinoma Recurrence After Liver Transplantation Regardless of the Milan Criteria: Model Development with External Validation.

BACKGROUND/AIMS: Patient selection is critically important in improving the outcomes of liver transplantation for hepatocellular carcinoma. The aim of the current study was to identify biochemical measures that could affect patient prognosis after liver transplantation. METHODS: A total of 119 patients receiving liver transplantation for hepatocellular carcinoma were used to construct a model for predicting recurrence. The results were validated using an independent sample of 109 patients from independent hospitals. All subjects in both cohorts met the Hangzhou criteria. RESULTS: Analysis of the discovery cohort revealed an association of recurrence with preoperative fibrinogen and AFP levels. A mathematical model was developed for predicting probability of recurrence within 5 years: Y = logit(P) = -4.595 + 0.824 ×fibrinogen concentration (g/L) + 0.641 × AFP score (1 for AFP<=20ng/ml, 2 for 20 400ng/ml). At a cutoff score of -0.85, the area under the curve (AUC) was 0.819 in predicting recurrence (vs. 0.655 when using the Milan criteria). In the validation cohort, this model had reasonable performance in predicting 5-year overall survival (68.8% vs. 28.1% in using the -0.85 cutoff, p< 0.001) and disease-free survival (65.7% vs. 25.9%, p< 0.001). The sensitivity and specificity were 77.0% and 62.5%, respectively. The AUC of this newly developed model was similar to that with the Milan criteria (0.698 vs. 0.678). Surprisingly, the DFS in patients with score <= -0.85 under this model but not meeting the Milan criteria was similar to that in patients meeting the Milan criteria (53.8% vs. 60.0%, p=0.380). CONCLUSIONS: Preoperative AFP and fibrinogen are useful in predicting recurrence of hepatocellular carcinoma after liver transplantation.

Predictive Value of Age-Bilirubin-International Normalized Ratio-Creatinine Score in Short-Term Survival of Acute-on-Chronic Hepatitis B Liver Failure.

BACKGROUND/AIMS: The age-bilirubin-international normalized ratio-creatinine (ABIC) score, which is a predictive model commonly used for alcoholic hepatitis, has not yet been studied in acute-on-chronic hepatitis B liver failure (HBV-ACLF). We aimed to investigate the predictive value of the ABIC score in patients with HBV-ACLF. METHODS: This retrospective study involved 398 patients diagnosed with HBV-ACLF, who were divided into a training cohort of 305 patients and a validation cohort of 93 patients. Univariate and multivariate Cox regression models were used to determine risk factors for mortality. Area under the receiver operating characteristic curve (AUC) was calculated to estimate and compare the predictive values of different prognostic scores. RESULTS: The ABIC score was significantly higher in the death group of the training cohort than in its survival group. Independent risk factors for mortality identified by multivariate Cox analysis included blood urea nitrogen, ABIC score, and Chronic Liver Failure Consortium Organ Failure (CLIF-C OF) score. For predicting 1- and 3-month mortality, AUC was higher for the ABIC score than for the Model for End-stage Liver Diseases (MELD) score (0.732 vs. 0.653, P < 0.05, 0.695 vs. 0.619, P < 0.05, respectively), CLIF-C OF score (0.693, P=0.353, 0.656, P=0.341, respectively), and Child-Pugh score (0.675, P=0.189, 0.656, P=0.300, Respectively). Patients with ABIC score > 9.44 had reduced 1- and 3-month survival rates. CONCLUSION: ABIC score is superior to MELD score in predicting short-term survival in HBV-ACLF patients. ABIC score > 9.44 predicts high short-term mortality risk in HBV-ACLF patients.

Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio as Prognostic Predictors for Hepatocellular Carcinoma Patients with Various Treatments: a Meta-Analysis and Systematic Review.

BACKGROUND/AIMS: Systemic inflammatory response (SIR) is widely considered as a preoperative risk factor for hepatocellular carcinoma (HCC) outcomes. The neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR), two of the prognostic indices, have been investigated in post-therapeutic recurrence and survival of HCC. Here, we quantify the prognostic value of these two biomarkers and evaluate their consistency in different HCC therapies. METHODS: A systematic review of electronic database of the Web of Science, Embase, PubMed and the Cochrane Library was conducted to search for associations between the NLR and PLR in the blood and clinical outcomes of HCC. Overall survival (OS) and recurrence-free survival (RFS) were the primary outcomes, and hazard ratios (HRs) and 95% confidence intervals (95% CIs) were explored as effect measures. Subgroup analyses were performed to explore the heterogeneity of different therapies. RESULTS: A total of 24 articles comprising 6318 patients were included in the meta-analysis. Overall, the pooled outcomes revealed that a high NLR before treatment predicted a poor OS (HR: 1.54, 95% CI: 1.34 to 1.76, p<0.001) and poor RFS (HR: 1.45, 95% CI: 1.16 to 1.82, p=0.001). Moreover, an increased PLR predicted a poor OS (HR: 1.63, 95% CI: 1.34 to 1.98, p<0.001) and earlier HCC recurrence (HR: 1.52, 95% CI: 1.21 to 1.91, p<0.001). In addition, both the NLR and PLR were identified as independent risk factors for predicting OS and RFS in HCC patients in a subgroup analysis of different treatment types, including curative or palliative therapy; however, these results were not found in the sorafenib subgroup due to limited clinical research. CONCLUSION: An increased NLR or PLR indicated poor outcomes for patients with HCC. The NLR and PLR may be considered as reliable and inexpensive biomarkers for making clinical decisions regarding HCC treatment.

Prediction model for hepatocellular carcinoma recurrence after hepatectomy: Machine learning-based development and interpretation study.

Background: Identifying patients with hepatocellular carcinoma (HCC) at high risk of recurrence after hepatectomy can help to implement timely interventional treatment. This study aimed to develop a machine learning (ML) model to predict the recurrence risk of HCC patients after hepatectomy. Methods: We retrospectively collected 315 HCC patients who underwent radical hepatectomy at the Third Affiliated Hospital of Sun Yat-sen University from April 2013 to October 2017, and randomly divided them into the training and validation sets at a ratio of 7:3. According to the postoperative recurrence of HCC patients, the patients were divided into recurrence group and non-recurrence group, and univariate and multivariate logistic regression were performed for the two groups. We applied six machine learning algorithms to construct the prediction models and performed internal validation by 10-fold cross-validation. Shapley additive explanations (SHAP) method was applied to interpret the machine learning model. We also built a web calculator based on the best machine learning model to personalize the assessment of the recurrence risk of HCC patients after hepatectomy. Results: A total of 13 variables were included in the machine learning models. The multilayer perceptron (MLP) machine learning model was proved to achieve optimal predictive value in test set (AUC = 0.680). The SHAP method displayed that γ-glutamyl transpeptidase (GGT), fibrinogen, neutrophil, aspartate aminotransferase (AST) and total bilirubin (TB) were the top 5 important factors for recurrence risk of HCC patients after hepatectomy. In addition, we further demonstrated the reliability of the model by analyzing two patients. Finally, we successfully constructed an online web prediction calculator based on the MLP machine learning model. Conclusion: MLP was an optimal machine learning model for predicting the recurrence risk of HCC patients after hepatectomy. This predictive model can help identify HCC patients at high recurrence risk after hepatectomy to provide early and personalized treatment.

Causal associations between changes in lipid profiles and risk of gallstone disease: a two-sample Mendelian randomization study.

Background: Nonalcoholic fatty liver disease (NAFLD) has been linked to gallstone disease (GSD) in observational studies; however, the relationships between certain lipid profiles and GSD remain unclear. Methods: We adopted a two-sample Mendelian randomization (MR) framework by applying different statistical methods to assess causalities between lipid profiles and GSD. We identified single-nucleotide polymorphisms (SNPs) for blood lipids and NAFLD from separate previous genome-wide association studies (GWASs). Results: We retrieved GSD SNPs attributed to 10,520 cases and 361,194 controls and validated our estimates using GWAS summary data from UK Biobank. We also performed sex-stratified analyses. Based on the summary estimates of 41, 59, 35, and 2 SNPs for low-density lipoprotein cholesterol (LDLC), high-density lipoprotein cholesterol (HDLC), triglycerides (TGs), and NAFLD, respectively, we found no evidence of a causal relationship between genetically-predicted lipid profiles and GSD. The odds ratios were 0.995 for LDLC [95% confidence interval (CI): 0.994-0.998] per 0.98 mmol/L, 0.999 for HDLC (95% CI: 0.996-1.003) per 0.41 mmol/L, 0.997 for TGs (95% CI: 0.994-1.001) per 1 mmol/L, and 0.993 for NAFLD (95% CI: 0.984-1.003). No evidence of associations between lipid profile s and GSD in validation MR analyses or the sex-stratification analyses was noted. Conclusions: Genetically predicted hyperlipidemia or NAFLD is not causally associated with GSD.

Extracellular vesicles derived from mesenchymal stromal cells as nanotherapeutics for liver ischaemia-reperfusion injury by transferring mitochondria to modulate the formation of neutrophil extracellular traps.

As nanotherapeutics, mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) are considered a potent alternative for whole-cell therapy and are gradually entering the clinical field of liver diseases. In this study, neutrophil extracellular traps (NETs) formation in liver tissue was verified as a critical factor for liver ischaemia-reperfusion injury (IRI) in both clinical samples and animal models. Human umbilical cord-derived MSC-EVs (hUC-MSC-EVs) might function to reduce the NETs formation and subsequently improve liver IRI. Mechanistically, we showed that hUC-MSC-EVs contain functional mitochondria that are transferred to intrahepatic neutrophils. This effect triggers mitochondrial fusion and subsequently restores the mitochondrial status and functions in neutrophils to reduce NETs formation. Collectively, our findings suggest that MSC-EVs exert a nanotherapeutic effect on inhibiting local NETs formation by transferring functional mitochondria to intrahepatic neutrophils and repairing their mitochondrial function, which highlights the therapeutic value of hUC-MSC-EVs for liver IRI.

Upregulation of SKA3 enhances cell proliferation and correlates with poor prognosis in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most aggressive types of malignancy worldwide. However, the mechanism underlying its frequent recurrence remains unclear. Studies have demonstrated that spindle and kinetochore associated complex subunit 3 (SKA3) is highly expressed in colorectal and prostate cancer. The present study aimed to determine whether SKA3 could be a predictive and prognostic marker for liver cancer. SKA3 expression levels in liver cancer cell lines, liver cancer tissues, normal liver cells and non­cancerous tissues were compared at both transcriptional and translational levels. Correlation between SKA3 levels, clinicopathological characteristics and patient survival was also assessed. Gene set enrichment analysis (GSEA) was performed to identify SKA3­associated pathways. Furthermore, SKA3 was knocked down and overexpressed in liver cancer cells, and then assessed the effect on cell proliferation, cell cycle, and tumor formation ability. Kaplan­Meier survival analysis and log­rank test were used to evaluate the association between SKA3 expression levels and prognosis. SKA3 mRNA and protein expression levels were significantly higher in liver cancer cell lines and clinical samples, compared with normal controls. Immunohistochemical analysis of 110 patients revealed that upregulation of SKA3 correlated with clinical pathological characteristics and patient survival. GSEA showed that BENPORATH_PROLIFERATION gene set signaling pathways were correlated with SKA3 expression levels. Luciferase reporter activity assay revealed that knockdown of SKA3 significantly inhibited the activity of transcription factor E2F. Downregulation of SKA3 significantly inhibited cell proliferation, cell cycle arrest in G1­S phase and tumorigenesis both in vitro and in vivo, decreased the expression levels of cyclin D1 and phosphorylated­-retinoblastoma and increased those of p21, suggesting a potential role of SKA3 in mediating tumor cell cycle and progression. SKA3 may function as an oncogene in liver cancer and may be a promising prognostic biomarker and candidate for targeted therapy.

Norcholic Acid Promotes Tumor Progression and Immune Escape by Regulating Farnesoid X Receptor in Hepatocellular Carcinoma.

Accumulating evidence shows a close association between various types of bile acids (BAs) and hepatocellular carcinoma (HCC), and they have been revealed to affect tumor immune response and progression mainly by regulating Farnesoid X receptor (FXR). Nevertheless, the roles of Norcholic acid(NorCA) in HCC progression remain unknown yet. In this study, herein we demonstrate that NorCA can promote HCC cell proliferation, migration and invasion through negatively regulating FXR. Additionally, NorCA can increase PD-L1 level on the surfaces of HCC cells and their exosomes, and NorCA-induced exosomes dramatically dampen the function of CD4+T cells, thereby inducing an immunosuppressive microenvironment. Meanwhile, a negative correlation between PD-L1 and FXR expression in human HCC specimens was identified, and HCC patients with FXRlowPD-L1high expression exhibit a rather dismal survival outcome. Importantly, FXR agonist (GW4064) can synergize with anti-PD-1 antibody (Ab) to inhibit HCC growth in tumor-bearing models. Taken together, NorCA can promote HCC progression and immune invasion by inhibiting FXR signaling, implying a superiority of the combination of FXR agonist and anti-PD-1 Ab to the monotherapy of immune checkpoint inhibitor in combating HCC. However, more well-designed animal experiments and clinical trials are warranted to further confirm our findings in future due to the limitations in our study.

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.

PURPOSE: Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient Boosting (XGBoost) and deep learning based on CT images to predict MVI preoperatively. METHODS: In total, 405 patients were included. A total of 7302 radiomic features and 17 radiological features were extracted by a radiomics feature extraction package and radiologists, respectively. We developed a XGBoost model based on radiomics features, radiological features and clinical variables and a three-dimensional convolutional neural network (3D-CNN) to predict MVI status. Next, we compared the efficacy of the two models. RESULTS: Of the 405 patients, 220 (54.3%) were MVI positive, and 185 (45.7%) were MVI negative. The areas under the receiver operating characteristic curves (AUROCs) of the Radiomics-Radiological-Clinical (RRC) Model and 3D-CNN Model in the training set were 0.952 (95% confidence interval (CI) 0.923-0.973) and 0.980 (95% CI 0.959-0.993), respectively (p = 0.14). The AUROCs of the RRC Model and 3D-CNN Model in the validation set were 0.887 (95% CI 0.797-0.947) and 0.906 (95% CI 0.821-0.960), respectively (p = 0.83). Based on the MVI status predicted by the RRC and 3D-CNN Models, the mean recurrence-free survival (RFS) was significantly better in the predicted MVI-negative group than that in the predicted MVI-positive group (RRC Model: 69.95 vs. 24.80 months, p < 0.001; 3D-CNN Model: 64.06 vs. 31.05 months, p = 0.027). CONCLUSION: The RRC Model and 3D-CNN models showed considerable efficacy in identifying MVI preoperatively. These machine learning models may facilitate decision-making in HCC treatment but requires further validation.

Feasibility of laparoscopic isolated caudate lobe resection for rare hepatic mesenchymal neoplasms.

BACKGROUND: Mesenchymal tumors such as perivascular epithelioid cell neoplasm (PEComa) and inflammatory pseudotumor-like follicular dendritic cell sarcoma (IPT-like FDC sarcoma) are relatively uncommon in the liver and are particularly rare in the caudate lobe. The clinical manifestations and available imaging tests lack specificity for hepatic mesenchymal tumors. To the best of our knowledge, no caudate PEComa or IPT-like FDC sarcoma has been completely resected by laparoscopy. The standard laparoscopic technique, surgical approaches, and tumor margins for potentially malignant or malignant caudate mesenchymal tumors are still being explored. AIM: To assess both the safety and feasibility of laparoscopic resection for rare caudate mesenchymal neoplasms. METHODS: Eleven patients who underwent isolated caudate lobe resection from 2003 to 2017 were identified from a prospective database. Three consecutive patients with rare caudate mesenchymal tumors underwent laparoscopic resection. Patient demographic data, intraoperative parameters, and postoperative outcomes were assessed and compared with the open surgery group. RESULTS: All procedures for the three resection patients with caudate mesenchymal tumors were completed using a total laparoscopic technique by two different approaches. The average operative time was 226 min, and the estimated blood loss was 133 mL. The average length of postoperative hospital stay was 6.3 ± 0.3 d for the laparoscopy group and 15.5 ± 2.3 d for the open surgery group (P < 0.05). There were no perioperative complications or patient deaths in this series. CONCLUSION: Laparoscopic isolated caudate lobe resection for rare mesenchymal neoplasms is a feasible and curative surgical option in selected patients.

Cancer-associated fibroblasts induce PDL1+ neutrophils through the IL6-STAT3 pathway that foster immune suppression in hepatocellular carcinoma.

Emerging evidence indicate that cancer-associated fibroblasts (CAFs) affect tumor progression by reshaping the tumor microenvironment. Neutrophils are prominent components of solid tumors and important in cancer progression. Whether the phenotype and function of neutrophils in hepatocellular carcinoma (HCC) are influenced by CAFs is not well understood. Herein, we investigated the effect of HCC-derived CAFs (HCC-CAFs) on the neutrophils and explored the biological role of this effect. We found that HCC-CAFs induced chemotaxis of neutrophils and protected them from spontaneous apoptosis. Neutrophils were activated by the conditioned medium from HCC-CAFs with increased expression of CD66b, PDL1, IL8, TNFa, and CCL2, and with decreased expression of CD62L. HCC-CAF-primed neutrophils impaired T-cell function through the PD1/PDL1 signaling pathway. We revealed that HCC-CAFs induced the activation of STAT3 pathways in neutrophils, which are essential for the survival and function of activated neutrophils. In addition, we demonstrated that HCC-CAF-derived IL6 was responsible for the STAT3 activation of neutrophils. Collectively, our results suggest that HCC-CAFs regulate the survival, activation, and function of neutrophils within HCC through an IL6-STAT3-PDL1 signaling cascade, which presents a novel mechanism for the role of CAFs in remodeling the cancer niche and provides a potential target for HCC therapy.