Objective To investigate the effect of genistein on the proliferation,migration and invasion of prostate cancer cells and its molecular mechanism.Methods Prostate cancer LNCaP and CWR22RV1 cells were divided into the control group(conventional culture)and the experimental group(50μmol/L genistein treatment).The effect of genistein on the proliferation of prostate cancer cells were analyzed by MTT assay.The effect of genistein on the migration and invasion of prostate cancer cells were analyzed by cell scratch assay and Transwell assay.The protein levels of epithelial interstital transformation(EMT)intermediate markers E-Cadherin,N-Cadherin,Vimentin,and tumor stem cell markers CD44 and Oct-4 were detected by Western blot assay.Results MTT assay showed that genistein could inhibit the proliferation of prostate cancer cells.The scratch closure rates of LNCaP and CWR22RV1 cells were significantly reduced in the experimental group compared with those in the control group,and the number of cells passing through the Transwell membrane was significantly reduced(P＜0.05).Western blot assay showed that genistein could down-regulate the expression levels of N-Cadherin,Vimentin,CD44 and Oct4 in prostate cancer cells,and up-regulate the expression of E-Cadherin in epithelial cells(P＜0.01).Conclusion Genistein reduces the dryness of prostate cancer cells by inhibiting the EMT process,thus reducing the proliferation,migration and invasion of prostate cancer cells.

Objective:To explore the feasibility and accuracy of three-dimensional (3D) modeling methods based on ultrasound imaging data for normal and abnormal fetal cardiac structures, and to construct a methodology system for 3D printing of fetal heart based on ultrasound.Methods:A total of 93 fetuses examined in Tangdu Hospital of Air Force Military Medical University from January to December 2019 were selected. Fetal echocardiography was obtained using spatio-temporal image correlation (STIC). Ninety-three hearts were 3D modeled by blood flow modeling, blood pool modeling and cavity modeling, and printed by stereolithography technique. The data measured on the 3D digital models and 3D printed solid models were compared with the corresponding fetal echocardiographic images respectively in order to evaluate the accuracy of the modeling methods.Results:The fetal cardiac blood flow models based on Doppler flow image data showed the malformation and trend of small blood vessels. The fetal cardiac structure models printed based on blood pool modeling displayed the malformation of heart and large blood vessels. Models printed based on cavity modeling method accurately displayed valve and structural defects.For 83 normal fetal hearts, the long diameters of left and right ventricles measured on echocardiography [(15.3±1.9)mm, (13.2±1.9)mm] were compared with those measured on digital models [(15.1±1.9)mm, (12.9±1.9)mm] and 3D printed models[(15.1±1.9)mm, (13.0±1.9)mm], respectively, and there were no significant differences between any two groups of them ( P>0.05). Bland-Altman showed good consistency for all measurements within and between operators. Conclusions:The three modeling methods, including blood flow modeling, blood pool modeling and cavity modeling, have their own advantages in displaying different types of fetal heart malformations. Appropriate modeling methods should be selected for 3D modeling and printing to make up for the limitations of single modeling method. The consistency between measurements on 3D models and those on echocardiography is high, and the repeatability between operators is good.