Neutrophils are the most abundant myeloid-derived eukaryotic cells in human blood with increasingly recognized as important regulators of cancer progression. However, the functional importance of tumor-associated neutrophils (TANs) is often overlooked due to their short-lived, terminally differentiated, non-proliferative properties. In recent years, a wealth of evidences obtained from experimental tumor models and cancer patients had indicated that TANs had obvious heterogeneity in morphology and function, and TANs had dual functions of pro- and anti-tumor in cancer patients. This review provides an adequate overview of the heterogeneity and distinct roles of neutrophils.
Large-for-size syndrome (LFSS) is a fatal complication of abdominal and thoracic organ compression due to mismatch of the size of the graft and recipient abdominal cavity. In recent years, with the increased prevalence of obesity epidemic among the donor pool, the incidence of LFSS tends to increase in adult liver transplantation. However, it is still unclear how to effectively prevent LFSS after adult death after citizen death (DCD) liver transplantation. Almost all transplantation centers rely on experience to deal with it, and there is no objective prevention strategy. This article summarizes the current problems in preventing LFSS after adult DCD liver transplantation, and our team’s exploration of the existing problems.
ObjectiveTo investigate the association between preoperative systemic immune-inflammation index (SII) and early allograft dysfunction (EAD) in liver transplant recipients. MethodsThe patients underwent liver transplantation who met the inclusion and exclusion criteria in the West China Hospital of Sichuan University from January 2015 to December 2019 were collected. The postoperative EAD was analyzed. The generalized propensity score weighting (GPSW) were used to balance the confounding factors affecting the occurrence of EAD. ResultsA total of 390 patients who met the inclusion and exclusion criteria were enrolled in this study, 93 cases of EAD occurred, the incidence of EAD was 23.8%. The recipient’s model for endstage liver disease score and Child-Pugh grade, the donor’s body mass index, age, and graft weight, and the intraoperative cold ischemia time, liver transplantation time, intraoperative blood loss, total infusion, red blood cell transfusion, autologous blood reinfusion, fresh frozen plasma transfusion, concentrated platelet transfusion, total red blood cell and autologous blood transfusions were balanced by GPSW, then the overall mean correlation coefficient of the 14 covariables and SII decreased from 0.049 to 0.039, and each covariable reached the standard of less than 0.1. The binary logistic regression analysis based on GPSW showed that there was no significant association between SII and EAD (P=0.371). ConclusionFrom preliminary result of this study, it is not found that preoperative SII of liver transplantation patients is related to occurrence of postoperative EAD.
ObjectiveTo more comprehensive understanding the survival situation of donors after liver transplantation, which can be applied to clinical diagnosis and treatment. MethodsThe related literatures in recent years of living donor liver transplantation (LDLT) postoperative complications, quality of life, and liver regeneration were reviewed, and the donors postoperative survival situation were investigated. ResultsLDLT has become an option, It is safe and feasible for healthy adults to donate partial liver for LDLT. ConclusionsDonor postoperative survival situation is very important, and it affect the development of LDLT.To improve donors postoperative survival situation, we still need more efforts.
ObjectiveTo better understand artificial intelligence (AI) and its application in management of liver cancer.MethodThe relevant literatures about AI in the diagnosis and treatment of liver cancer in recent years were reviewed.ResultsIn terms of diagnosis, the deep learning could precisely and quickly complete the imaging localization and segmentation of the liver, which was helpful for the diagnosis, while radiomics had a high value in assisting the diagnosis of liver cancer, predicting the postoperative recurrence and long-term survival of patients with liver cancer. In regard of treatment, although it was still difficult for AI to intervene in liver surgery, it had significant advantages in formulating individualized operation scheme for patients with liver cancer, which enabled precise hepatectomy and was helpful for prediction of intraoperative bleeding. AI fusion imaging could provide assistance in operation plan making and realize the precise placement of ablation needle. AI was able to predict the tumor response or even tumor progression after interventional therapy and radiotherapy. Pathological analysis was also facilitated by AI and was able to identify some details and feature textures that were difficult to manually distinguish. For transplantation, guidance of AI on the allocation of donor livers based on hazards models helped make better use of limited organ resources. AI could be applied in prognosis prediction in almost all treatment modalities.ConclusionsAI provides more efficient and precise diagnosis, treatment support and prognosis than conventional medical process in liver cancer, generally by constructing a fully functional model based on a series of data mining methods combined with statistical analysis.
Objective To summarize the research progress of health care transition (HCT) for pediatric liver transplant recipients. Method The literatures of HCT for pediatric liver transplant recipients were reviewed, and the concept, related factors, interventions and methods of health care transition were summarized. ResultsHCT is the process of moving from a child/family-centered model of care to an adult or patient-centered model of health care, and influenced by health care provider, child and caregivers, and other factors such as medical policy and economic level. Personalized transition program has more benefits for improving the experience and health outcomes of patients. Conclusion problem-oriented and demand-oriented transition program is recommended, early intervention to improve self-management abilities of children, information construction of pediatric medical system and multidisciplinary team building are important for improving health outcomes of patients.