A Novel Nomogram for Predicting Postoperative Liver Failure After Major Hepatectomy for Hepatocellular Carcinoma.

Background: Post-hepatectomy liver failure (PHLF) is the most common cause of mortality after major hepatectomy in hepatocellular carcinoma (HCC) patients. We aim to develop a nomogram to preoperatively predict grade B/C PHLF defined by the International Study Group on Liver Surgery Grading (ISGLS) in HCC patients undergoing major hepatectomy. Study Design: The consecutive HCC patients who underwent major hepatectomy at the Eastern Hepatobiliary Surgery Hospital between 2008 and 2013 served as a training cohort to develop a preoperative nomogram, and patients from 2 other hospitals comprised an external validation cohort. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to identify preoperative predictors of grade B/C PHLF. Multivariable logistic regression was utilized to establish a nomogram model. Internal and external validations were used to verify the performance of the nomogram. The accuracy of the nomogram was also compared with the conventional scoring models, including MELD and ALBI score. Results: A total of 880 patients who underwent major hepatectomy (668 in the training cohort and 192 in the validation cohort) were enrolled in this study. The independent risk factors of grade B/C PHLF were age, gender, prothrombin time, total bilirubin, and CSPH, which were incorporated into the nomogram. Good prediction discrimination was achieved in the training (AUROC: 0.73) and validation (AUROC: 0.72) cohorts. The calibration curve also showed good agreement in both training and validation cohorts. The nomogram has a better performance than MELD and ALBI score models. Conclusion: The proposed nomogram showed more accurate ability to individually predict grade B/C PHLF after major hepatectomy in HCC patients than MELD and ALBI scores.

External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma.

Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatectomy. Methods: Data of patients undergoing major hepatectomy for HCC from 4 hospitals between January 01, 2008 and December 31, 2019 were retrospectively analyzed. PHLF was evaluated according to the definition of the 50-50 criteria. Performances of six liver functional reserve models were determined by the area under the receiver operating characteristic curve (AUC), calibration plot and decision curve analysis. Results: A total of 745 patients with 103 (13.8%) experienced PHLF were finally included in this study. Among six liver functional reserve models, ALBI showed the highest AUC (0.64, 95% CI: 0.58-0.69) for PHLF. All models showed good calibration and greater net benefit than treating all patients at a limit range of threshold probabilities, but the ALBI demonstrated net benefit across the largest range of threshold probabilities. Subgroup analysis also showed ALBI had good predictive performance in cirrhotic (AUC=0.63) or non-cirrhotic (AUC=0.62) patients. Conclusion: Among the six models, the ALBI model shows more accurate predictive ability for PHLF in HCC patients undergoing major hepatectomy, regardless of having cirrhosis or not.

microRNA-454 promotes liver tumor-initiating cell expansion by regulating SOCS6.

Tumor-initiating cells (T-ICs) are involved in the tumorigenesis, progression, drug resistance and recurrence of hepatocellular carcinoma (HCC). However, the underlying mechanism for the propagation of liver T-ICs remains unclear. Herein, we find that miR-454 is upregulated in liver T-ICs and has an important function in liver T-ICs. Functional studies have revealed that knockdown of miR-454 inhibits liver T-IC self-renewal and tumorigenesis. Conversely, forced miR-454 expression promotes liver T-IC self-renewal and tumorigenesis. Mechanistically, we found that miR-454 downregulates SOCS6 expression in liver T-ICs. The correlation between miR-454 and SOCS6 is validated in human HCC tissues. Furthermore, HCC cells that overexpress miR-454 are resistant to sorafenib treatment. Analysis of patient-derived xenografts (PDXs) further demonstrates that miR-454 may predict sorafenib benefits in HCC patients. In conclusion, our findings reveal the crucial role of miR-454 in liver T-IC expansion and sorafenib response.

Modifications of the AJCC 8th edition staging system for intrahepatic cholangiocarcinoma and proposal for a new staging system by incorporating serum tumor markers.

BACKGROUND: Several studies have noted that the discriminatory ability and stratification performance of the AJCC 8th edition staging system is not entirely satisfactory. We aimed to improve the American Joint Committee on Cancer (AJCC) 8th edition staging system for intrahepatic cholangiocarcinoma (ICC). METHODS: A multicentric database from three Chinese mainland centers (n = 1601 patients) was used to modify the 8th edition staging system. This modified TNM (mTNM) staging system was then validated using the SEER database (n = 761 patients). A new TNM staging system, by incorporating serum tumor markers (TNMIS) into the mTNM staging system was then proposed. RESULTS: The 8th edition staging system did not provide an adequate stratification of prognosis in the Chinese multicentric cohort. The mTNM staging system offered a better discriminatory capacity in the multicentric cohort than the original 8th edition. External validation in the SEER cohort showed that the mTNM staging system also had a good stratification performance. After further incorporating a serum marker stage into the mTNM staging, the TNMIS staging system was able to stratify prognosis even better. CONCLUSION: The proposed mTNM staging system resulted in better stratification performance and the TNMIS staging system provided even more accurate prognostic classification than the conventional TNM system.

Exosome-transmitted p120-catenin suppresses hepatocellular carcinoma progression via STAT3 pathways.

Hepatocellular carcinoma (HCC) is a fatal disease with increasing morbidity and poor prognosis due to surgical recurrence and metastasis. Moreover, the molecular mechanism of HCC progression remains unclear. Although the role of p120-catenin (p120ctn) in liver cancer is well studied, the effects of secreted p120ctn transported by exosomes are less understood. Here, we show that p120ctn in exosomes secreted from liver cancer cells suppresses HCC cell proliferation and metastasis and expansion of liver cancer stem cells (CSCs). Mechanically, exosome p120ctn inhibits HCC cell progression via the STAT3 pathway, and the STAT3 inhibitor S3I-201 abolishes the observed effects on growth, metastasis, and self-renewal ability between exosome p120ctn-treated HCC cells and control cells. Taken together, we propose that p120ctn-containing exosomes derived from cancer cells inhibit the progression of liver cancer and may offer a new therapeutic strategy.