Objective To summarize the research progress of intraductal papillary mucinous neoplasms (IPMNs). Method The domestic and international published literatures related to IPMNs in recent years were collected and reviewed． Results Based on the site of tumor involved, IPMNs were classified into main duct, branch duct, and mixed types. According to the histologic features, IPMNs were divided into intestinal, pancreatobiliary, gastric, and oncocytic types. The pathological and clinical presentations of IPMNs were vary, and multiple imaging approaches including endoscopic retrograde cholangiopancreatography (ERCP), endoscopic ultrasonography (EUS), CT, magnetic resonance cholangiopancreatography (MRCP) combined with MRI, could display morphologic and functional characteristics of IPMNs. In additon, the risk of malignancy in IPMNs could be evaluated and the functions of some genes (including KRAS, BRAF, GNAS, and so on) in the development process of IPMNs had been confirmed. Conclusion IPMNs is a kind of disease different from other tumors of the pancreas in clinicopathologic features, imaging performance, and molecular biology changes, and how to link the above three aspects needs to be further studied.
Cancer is one of the main causes of death for human beings. Clinical oncologists increasingly rely upon imaging for diagnosis, stage, response assessment, and follow-up in cancer patient. However, 18F-FDG is not a tumor specific agent, inflammation and infection also have intensive uptake of 18F-FDG, resulting in false positive diagnosis, and some tumors have low uptake of 18F-FDG or even do not uptake 18F-FDG, leading to false negative diagnosis. So it is urgent to develop non-18F-FDG novel tumor targeting agent. Recently, a large number of researches in vitro have demonstrated that berberine has anti-tumor activity against a variety of tumor cells by inducing tumor cell apoptosis through inhibition of mitochondrial respiratory chain etc. So far, there is no credible evidence of berberine targeting in tumor in vivo. We proposed a hypothesis that berberine has the characteristics of tumor targeting biodistribution in vivo, and verified the proposal by 18F-berberine PET/CT imaging in VX2 muscle tumor-bearing rabbit model. In this review, we intend to give an overview of the progress of berberine anticancer, the structural bases of berberine anticancer and the uderlying molecular mechanisms of berberine anticancer indentified so far. We also introduce the first visualization of 18F labeled berberine derivatives targeting tumor in VX2 muscle tumor-bearing rabbit model by PET/CT. These breakthrough findings suggest that 18F-berberine derivatives as a potential PET/CT tumor targeted molecular imaging agent may have important implications for cancer targeting therapy, molecular imaging and modernization of Traditional Chinese Medicine.
ObjectiveTo explored the influence of disease changes, weight gain, eosinophil levels and other factor in pregnancy women with asthma. MethodsCase records of gestational asthma patients produced in the obstetrics department of Peking University People's Hospital from October 2010 to October 2020 were collected, and refer to electronic medical records of clinics (pre-pregnancy and pregnancy). According to the disease control (asthma related unplanned respiratory clinics, emergency or hospitalization), patients were divided into pregnancy stable group and pregnancy fluctuation group. The basic characteristics, pre-pregnancy asthma control, weight gain during pregnancy and peripheral blood eosinophil level before labor were retrospectively analyzed. The cause of asthma attacks, clinical characteristics and distribution of gestational time in pregnancy fluctuations were described. Peripheral blood eosinophil levels in different period during pregnancy in the stable group were analyzed. ResultsTotally 124 cases of natural pregnancy singleton were enrolled in the study. The age was (32.3±3.9) years old. There were 71 patients in stable group and 53 patients in fluctuation group. The proportion of pre-pregnancy instability in the fluctuating pregnancy group was higher than that in the stable pregnancy group (P<0.05). The proportion of intermittent medication before pregnancy was higher in the fluctuating pregnancy group than in the stable pregnancy group (P<0.05). Peripheral blood eosinophil count before labor and the number of cases with eosinophil count≥0.15×109/L before labor were higher in the fluctuation group (all P<0.05). The proportion of hypertentive diseases in pregnancy and fetal distress in uterus were higher in the fluctuation group (all P<0.05). The common cold was the common trigger factor (38.2%) and asthma recurrences occur between 13 and 36 weeks of gestation (65.8%) in fluctuation group. In further analysis of subgroup (the stable group), peripheral blood eosinophil count in early pregnancy (P<0.05) and pregnant metaphase (P<0.05) were higher than before delivery. The number of cases with eosinophil count>0.15×109/L in pregnant metaphase (P<0.05) was higher than before delivery. ConclusionsAsthma fluctuates during pregnancy is associated with adverse maternal and fetal outcomes. It is very important and critical that asthma control before pregnancy, weight gain management and eosinophil level monitoring of patients with asthma during pregnancy. The whole management is imperative in women with asthma during pregnancy.
Objective To investigate the expression of human leukocyte antigen-G （HLA-G） in hepatocellular carcinoma （HCC） tissues， and to evaluate the prognosis of patients after liver transplantation. Methods The clinical data of 83 patients with HCC who underwent liver transplantation from January 2004 to May 2008 in the Liver Transplantation Center of the Third Affiliated Hospital of Sun Yat-sen University were analyzed retrospectively. The expression of HLA-G in HCC tissues was detected by using immunohistochemical analysis. The Kaplan-Meier method was used to evaluate the cumulative survival rate and tumor-free survival rate. Log-rank test and Cox regression model were used to analyze the single and muti-factor for tumor-free survival rate, respectively. Results Among the 83 patients，there were tumor recurrence in 35 patients （42.2%）. The 1-year，3-year, and 5-year of cumulative survival rate was 97.2%，89.8%, and 43.1%, respectively. The 1-year，3-year， and 5-year of tumor-free survival rate was 93.6%，68.9%, and 38.7%, respectively. The positive rate （68.7%） of HLA-G expression in HCC tissues was significantly higher than that in paracancerous tissues （15.7%）, P＜0.01. A significant association was found between expression of HLA-G and tumor size， vascular invasion, and pathology differentiation （P＜0.05）. Single factor analysis showed that the expression of HLA-G （P＜0.01）， tumor size （P＜0.05）， vascular invasion （P＜0.01）， and pathology differentiation （P＜0.01） effected on tumor-free survival rates of HCC patients after liver transplantation. The tumor-free survival rate in positive expression of HLA-G group was significantly lower than that in negative expression of HLA-G group （P＜0.01）. Cox regression model analysis showed that the expression of HLA-G （P＜0.05）， vascular invasion （P＜0.01）， and pathology differentiation （P＜0.05） were independent risk factors that affected the tumor-free survival rate of HCC patients after liver transplantation. Conclusions There is expression of HLA-G in HCC tissues. The independent risk factors that affecting the tumor-free survival rate of HCC patients after liver transplantation include the expression of HLA-G， vascular invasion, and pathological differentiation. Taking interferential measures for patients with positive expression of HLA-G and strict selection of indication of liver transplantation for HCC can reduce the recurrence rate of tumor.
Objective To construct the expression vector of HLA-G-shRNA and investigate the effect of HLA-GshRNA from NK cell lysis. Methods Four HLA-G shRNA plasmids were constructed and transiently transfected to Bel-7402 cell lines， the levels of mRNA and protein of HLA-G were detected by Real-Time PCR and Western blot. The cytotoxicity of NK-92MI cells against the transfected cells was analyzed by LDH releasing assay. Results The gel electrophoresis and sequencing showed that the inserted sequence was identical to the one which we designed, and no aberrations such as mutation，deletion or insertion occurred. The expressions of HLA-G confirmed by Real Time-PCR and Western blot were significantly down-regulated. Bel-7402 cell lines transfected HLA-G shRNA showed higher lytic activity （P＜0.01）. After KIR2DL4 receptor blocked，lytic activity of NK-92 MI cell were decreased （P＜0.01）. Conclusions HLA-G shRNA plasmids are successfully constructed and HLA-G down-regulated can increase NK cytolysis against Bel-7402 cell. After HLA-G combines with KIR2DL4 receptor at the surface of NK cells， the inhibition effect is transferred.
Automatic detection of pulmonary nodule based on computer tomography (CT) images can significantly improve the diagnosis and treatment of lung cancer. However, there is a lack of effective interactive tools to record the marked results of radiologists in real time and feed them back to the algorithm model for iterative optimization. This paper designed and developed an online interactive review system supporting the assisted diagnosis of lung nodules in CT images. Lung nodules were detected by the preset model and presented to doctors, who marked or corrected the lung nodules detected by the system with their professional knowledge, and then iteratively optimized the AI model with active learning strategy according to the marked results of radiologists to continuously improve the accuracy of the model. The subset 5−9 dataset of the lung nodule analysis 2016(LUNA16) was used for iteration experiments. The precision, F1-score and MioU indexes were steadily improved with the increase of the number of iterations, and the precision increased from 0.213 9 to 0.565 6. The results in this paper show that the system not only uses deep segmentation model to assist radiologists, but also optimizes the model by using radiologists' feedback information to the maximum extent, iteratively improving the accuracy of the model and better assisting radiologists.