Objective To explore the features of peripheral blood immune cells in long-term survival recipients after liver transplantation.Methods The expression of T subsets (Th1,Th2,Th17,Th22,Tregs),NK cells,NKt cells,Bregs,MDSC in long-term survival recipients (postoperative follow-up time ≥5 years,30 cases),short-term survival recipients(postoperative follow-up time ≤1 year,15 cases) and healthy control (15 cases) were determined by flowcytometry.Results Th17 cells were significantly higher in the long-term group compared with short-term group and healthy control group(P ＜0.01).Tregs in long-term group compared with short-term group were significantly higher (P ＜ 0.01),but the difference was not statistically significant compared with healthy control group (P ＞ 0.05).NK cells were significantly higher in long-term group compared with short-term group and healthy control group (P ＜ 0.01).MDSC were significantly higher in long-term group compared with short-term group and healthy control group (P ＜0.01).Conclusions Th17,Tregs,NK cells and MDSC were significantly higher in long-term survival of liver recipients,which may be related to immune tolerance.

Objective To investigate the clinical prognosis of the liver transplant recipients diagnosed with hepatocellular carcinoma (HCC) complicated with microvascular invasion (MVI). Methods Clinical data of 3 447 HCC recipients undergoing liver transplantation were extracted from Surveillance, Epidemiology, and End Results (SEER) database of American National Cancer Institute. According to the incidence of MVI, all recipients were divided into MVI (n=376) and non-MVI groups (n=3 071). The clinical prognosis of liver transplant recipients was statistically compared between two groups by analyzing the 1-, 3- and 5-year overall survival (OS) and liver cancer specific survival (LCSS). Relevant clinical data including age, gender, race, pathological staging, tumor size, lymph node metastasis, distant metastasis, tumor-node-metastasis (TNM) staging and MVI were recorded in two groups. The independent risk factors of clinical prognosis of HCC recipients undergoing liver transplantation were analyzed by multivariate Cox regression model. The nomogram for predicting the clinical prognosis of the recipients was delineated. The accuracy of the prediction model was evaluated by the consistency index. Results In the non-MVI group, the 1-, 3-, 5-year OS and LCSS were 93.5%, 82.1%, 75.3% and 98.3%, 93.8%, 90.7%, significantly higher than 88.8%, 72.1%, 68.4% and 95.3%, 83.1%, 80.4% in the MVI group (all P < 0.05). Multivariate regression analysis showed that pathological staging, tumor size, lymph node metastasis, distant metastasis, TNM staging and MVI were the independent risk factors of OS and LCSS in HCC recipients undergoing liver transplantation (all P < 0.05). The nomogram consistency index was calculated as 0.624 (0.602-0.648). Conclusions MVI is an independent risk factor of the clinical prognosis of HCC recipients undergoing liver transplantation, which is significantly correlated with poor prognosis of the recipients. The nomogram based on MVI can predict the clinical prognosis of these recipients.

Objective To establish a non-venous bypass orthotopic liver transplantation model in Bama miniature pigs with high repeatability and stability. Methods Twelve Bama miniature pigs were randomly divided into the donor group (n=6) and recipient group (n=6). Pigs underwent non-venous bypass orthotopic liver transplantation. The time of anhepatic phase during operation was shortened, blood pressure during anhepatic phase was stably maintained, and management of anesthesia and body fluid during operation were strengthened. The operation time, anhepatic phase and survival status of the recipients were observed and recorded. The intraoperative heart rate, mean arterial pressure (MAP) and changes in arterial blood gas analysis were monitored. The perioperative liver function was evaluated. Results Among 6 Bama miniature pigs, 1 died from transplantation failure intraoperatively. The operation time of the remaining 5 pigs was (247±27) min and the time of anhepatic phase was (46±4) min. Three animals survived for more than 2 weeks. Compared with the preanhepatic phase, the heart rate of the animals was significantly faster, MAP was considerably reduced to (46±6) mmHg, blood pH value, base excess (BE) and HCO₃^- level were all significantly decreased and serum level of K⁺ was significantly elevated during the anhepatic phase (all P < 0.05). In the neohepatic phase, MAP of Bama miniature pigs was significantly increased, heart rate was dramatically slower.Blood pH value, BE, HCO₃^- level were significantly increased and serum level of K⁺ was significantly declined (all P < 0.05). During abdominal closure, MAP, blood gas indexes and serum level of K⁺ were almost recovered to those in the preanhepatic phase. Compared with preoperative levels, the levels of alanine aminotransferase(ALT), aspartate aminotransferase(AST), lactate dehydrogenase(LDH)and alkaline phosphatase(ALP)were significantly increased after operation (all P < 0.05), the change in AST was the most obvious, and it gradually decreased at postoperative 2 d. The level of γ-gutamyl transferase(GGT) did not significantly elevated. The level of total bilirubin (TB) was evidently elevated at postoperative 5 d. Compared with the preoperative levels, the levels of total protein (TP) and albumin (ALB) were significantly decreased after operation (both P < 0.05), and began to gradually increase at postoperative 1 d. Conclusions The non-venous bypass orthotopic liver transplantation model of Bama miniature pig is convenient, with highly reproducible and survival rate, which can be utilized as a standardized liver transplantation model.

Objective To explore the value of postoperative prognostic nutritional index (post-PNI) in the prognosis of patients with hepatocellular carcinoma (HCC) after hepatectomy. Methods Clinical data of 316 patients receiving HCC hepatectomy in the Third Affiliated Hospital of Sun Yat-sen University between January 2009 and December 2014 was analyzed retrospectively. There were 289 males and 27 females, with a mean age of (50±12) years. The informed consents of all patients were obtained and the local ethical committee approval was received. Post-PNI was calculated using value of ALB and lymphocyte count of the first examination after operation. The optimum cut-off value of post-PNI was defined according to receivers' operating characteristic (ROC) curve, and the patients were divided into high post-PNI group and low post-PNI group. Survival analysis of two groups was conducted using Kaplan-Meier method and Log-rank test, and the influencing factors for survival and prognosis were analyzed by Cox proportional hazard model. Results The optimum cut-off value of post-PNI was 36.4 by ROC curve. There were 165 cases in high post-PNI group, and 151 cases in low post-PNI group. The 1-, 3- and 5-year recurrence-free survival rate and overall survival rate of the high post-PNI group were respectively 74.4%, 55.5%, 50.3% and 93.8%, 85.9%, 78.7%, and were respectively 60.9%, 32.5%, 27.1% and 91.3%, 72.0% and 62.9% in low post-PNI group were, where significant differences were observed (χ2=16.939, 8.428; P<0.05). Multiple-factor analysis showed that post-PNI≤36.4 was the independent risk factor for the recurrence-free survival and overall survival of HCC hepatectomy patients(HR=1.705,1.771;P<0.05).Conclusions Post-PNI is an influencing factor for the recurrence-free survival and overall survival of HCC hepatectomy patients. Low post-PNI patients have worse prognosis.

The treatment of advanced hepatocellular carcinoma (HCC) is limited and the prognosis is poor, which seriously endangers the public health. Results of clinical trials have confirmed the validity of atelizumab plus bevacizumab in patients with advanced HCC. The authors introduce the clinical experience of a patient with stage Ⅲa HCC undergoing local therapy of hepatic artery chemoembolization, and combined with atelizumab plus bevacizumab. The results show that patient with successfully transformational therapy, and receiving surgical resection with a good clinical effect.

With the advent of the era of 5G and big data, complex medical data with multiple dimensions and a large sample size bring both opportunities and challenges for clinical medicine in the new era. Compared with conventional methods, artificial intelligence can detect the hidden patterns within large datasets, and more and more scholars are applying such advanced technology in the diagnosis and treatment of diseases. After development and perfection for more than half a century, liver transplantation has become the most effective treatment method for end-stage liver diseases. Unlike the analysis of "single-patient" data in other fields, liver transplantation usually requires the consideration of the features of both the donor and the recipient and the variables during transplantation, thus generating a larger volume of medical data than other diseases, which is particularly in line with the advantages of artificial intelligence. Effective application of artificial intelligence and its combination with clinical research will usher in the new era of precision medicine. The advantages and limitations of artificial intelligence technology should be comprehensively discussed for the cross-application of artificial intelligence in liver transplantation, and the future directions of this field should also be proposed.