Objective To set up the technology for adsorbing and separating total flavone in Sarcandra glabra with macroporous adsorption resin,11 types of macroporous adsorption resins were investigated.Methods The static adsorption and separation were used in investigation of macroporous adsorption resin;the dynamic adsorption and separation were used in studying the condition of adsorption and separation.The total flavone adsorption capacity,total flavone content,and total flavone recovery rate were used as the evaluation criteria.The UV spectrophotometric method was used in the determination of total flavone content.Results The results showed that among 11 types of macroporous adsorption resins,the HPD400 was the best for adsorbing and separating the total flavone in S.glabra in the following technological condition: the concentration of S.glabra sample extract was 10 mg/mL;the maximum adsorbing capacity for total flavone in S.glabra was 9.5 mg/mL;the current velocity was 2.5 mL/min;the eluting reagent was 70% ethanol(three times as the volume of the resin);and the HPD400 resin could be used three times,repeatedly.Conclusion It is a simple and efficient to separate the total flavone in S.glabra under the technological conditions,and a total flavone recovery rate is about 85%.

Objective:To construct and validate prognostic nomograms predicting overall survival (OS) and cancer-specific survival (CSS) of patients with late-stage hepatocellular carcinoma (HCC).Methods:A retrospective cohort study was used in this report. Screened 2382 late-stage HCC patients obtained from Surveillance, Epidemiology, and End Results (SEER) database (2010—2015), were randomly classified into the training cohort and the internal validation cohort by using the function in R software according to the ratio of 1∶1. Chi-square test was applied to verify the comparability of data between two groups. The external validation cohort ( n=62) were collected from the Affiliated Zhangjiagang Hospital of Soochow University. Based on univariate and multivariate COX regression analyses in the training cohort, this study constructed nomograms for 6- and 12- month OS and CSS. Concordance index (C-index), calibration plots, the receiver operating characteristic (ROC) curves and Kaplan-Meier survival curves were applied to measure the performance of nomograms in the training cohort and to validate nomograms in two validation cohorts. The clinical utility was measured by decision curve analysis (DCA). Results:Two nomograms were constructed. The identified risk factors included sex, Edmondson-Steiner grade, T stage, N stage, M stage, tumor size, bone metastasis, Alpha-fetoprotein (AFP), surgery of primary site, radiation and chemotherapy. The C-index for OS in the training and two validation cohorts was 0.729(95% CI: 0.711-0.747), 0.721(95% CI: 0.705-0.737) and 0.860(95 CI: 0.831-0.889), respectively. The C-index for CSS in the training and two validation cohorts was 0.732(95% CI: 0.714-0.750), 0.725(95% CI: 0.707-0.743) and 0.862(95% CI: 0.829-0.895), respectively. Afterwards, for nomograms in the training and two validation cohorts, C-index and calibration plots expressed great predictive accuracy and concordance. ROC curves and Kaplan-Meier survival curves demonstrated good prognostic ability. Furthermore, nomograms performed superior to other models. DCA showed substantial clinical utility. Conclusion:This study has developed and validated nomograms predicting 6- and 12- month OS and CSS of patients with late-stage HCC, which may be useful to develop the individualized treatment.

Objective To analyze the effect of SV2B overexpression on the growth, invasion, and apoptosis of glioblastoma cells, and to explore its potential mechanism. Methods We transfected glioblastoma u87 and u251 cells with lentivirus as SV2B overexpression group. And blank control group was set up. The effects of SV2B overexpression on the proliferation, migration, and invasion of u87 and u251 cells were detected by CCK-8 assay, cell scratch assay, Transwell invasion, and Transwell migration assay. The expression level of SV2B protein was detected by qRT-PCR and Western blot. Results Compared with the blank control group, the proliferation, invasion, and migration abilities of u87 and u251 cells in SV2B overexpression group were significantly reduced (P<0.05). Conclusion SV2B overexpression significantly inhibits the proliferation, invasion, and migration abilities of glioblastoma cells.