A multicenter study to develop and validate a novel C-GALAD Ⅱ HCC prediction model based on serological markers / 中华检验医学杂志

Objective:To establish a model C-GALAD for detecting hepatocellular carcinoma (HCC) from the chronic liver disease and healthy people based on the serum markers.Methods:A clinical cohort including 229 hepatocellular carcinoma patients, 2 317 patients with chronic liver disease and 982 healthy people, was retrospectively collected from eight hospitals or physical examination institutions from April 2018 to October 2020. The data were divided into a training set and a testing set by stratified sampling with a 6∶4 ratio. A predictive model was established on the training set using a logistic backward regression method and validated on the testing set. In addition, clinical data from March to July 2021 in Beijing You′ an Hospital affiliated to Capital Medical University, including 84 patients with liver cancer and 204 patients with chronic liver disease collected were used for external independent validation of the model. The receiver operating characteristic curve (ROC) area under curve (AUC), the sensitivity and the specificity were used to evaluate the effectiveness of the model.Results:Through the logistic backward regression method, the seven signatures including age, gender, alpha-fetoprotein (AFP), alpha-fetoprotein alloplasm-3 ratio (AFP-L3%), des-gamma-carboxyprothrombin(DCP), platelet (PLT) and total bilirubin (TBIL) were selected as risk factors in the detection model. The area under the ROC curve (AUC) of the model on the testing set was 0.954, with an 88.04% sensitivity and a 94.85% specificity, and the AUC of model on the external independent validation set was 0.943, with an 89.29% sensitivity and a 90.2% specificity, which were better than other published models.Conclusion:The C-GALAD Ⅱ model can accurately predict the risk of hepatocellular carcinoma occurrence, and thus provide a trustworthy diagnosis method of hepatocellular carcinoma.

Molecular markers and mechanisms for stemness maintenance of liver cancer stem cells: a review / 生物工程学报

Primary liver cancer (PLC) is an aggressive tumor and prone to metastasize and recur. According to pathological features, PLC are mainly categorized into hepatocellular carcinoma, intrahepatic cholangiocarcinoma, mixed hepatocellular cholangiocarcinoma, and fibrolamelic hepatocellular carcinoma, etc. At present, surgical resection, radiotherapy and chemotherapy are still the main treatments for PLC, but the specificities are poor and the clinical effects are limited with a 5-year overall survival rate of 18%. Liver cancer stem cells (LCSCs) are a specific cell subset existing in liver cancer tissues. They harbor the capabilities of self-renewal and strong tumorigenicity, driving tumor initiation, metastasis, drug resistance and recurrence of PLC. Therefore, the identification of molecular markers and the illustration of mechanisms for stemness maintenance of LCSCs can not only reveal the molecular mechanisms of PLC tumorigenesis, but also lay a theoretical foundation for the molecular classification, prognosis evaluation and targeted therapy of PLC. The latest research showed that the combination of 5-fluorouracil and CD13 inhibitors could inhibit the proliferation of CD13+ LCSCs, thereby reducing overall tumor burden. Taken together, LCSCs could be the promising therapeutic targets of PLC in the future. This review summarizes the latest progress in molecular markers, mechanisms for stemness maintenance and targeted therapies of LCSCs.

Effect of graphene oxide on the function of erythrocytes / 生物工程学报

The biocompatibility of nanomaterials has attracted much attention. Graphene oxide (GO) is a nanomaterial widely used in biomedicine, but its toxicity can not be ignored. In this study, the effect of GO on the blood system (the hemolysis rate, the fragility of erythrocyte, and acetylcholinesterase activity) was systematically investigated. The results showed that the hemolysis rate of erythrocytes was lower than 8% when the GO concentration was below 100 μg/mL (P5 μm (LGO) increased the activity of acetylcholinesterase by 42.67% (P<0.05). Then molecular dynamics simulation was used to study how GO interacted with acetylcholinesterase and increased its activity. The results showed that GO was attached to the cell membrane, thus may provide an electronegative environment that helps the hydrolysate to detach from the active sites more quickly so as to enhance the activity of acetylcholinesterase.