1.Calcium release-activated calcium channel modulator 1 promotes the migration and invasion of SW480 colon cancer cell line
Qingjie KANG ; Zheng XIANG ; Xudong PENG ; Dawei DENG ; Weixue TANG
Chinese Journal of Clinical Oncology 2014;(20):1278-1283
Objective:To explore the effect of calcium release-activated calcium channel modulator 1 (ORAI1) on the migration and invasion of colon cancer cell line SW480 and its mechanism. Methods:The SW480 cells were infected with ORAI interference lentivirus. The expression of ORAI1 mRNA and protein was confirmed by quantitative real-time polymerase chain reaction and Western blot. Transwell chamber, adhesion, angiogenesis, and vasculogenic mimicry experiments were conducted to detect the ability of cell invasion, migration, and angiogenesis and the intercellular adhesion of homogeneous and heterogeneous cells among each group. Confocal microscopy was employed to detect the difference of store-operated Ca2+entry (SOCE) in each group. Western blott was used to detect the expression of ERK1/2, p-ERK1/2, MMP-2, VEGF, and E-cadherin protein. Results:After the infection of SW480 with the ORAI1 interference lentivirus for 72 h, significant fluorescence expression was observed. Compared with the empty vector group and control group, the expression of ORAI1 was lower in the interference group (P<0.01). Invasion and migration ability decreased (P<0.01); the intercellular adhesion ability of homogeneous cells increased (P<0.05); the intercellular adhesion ability of heterogeneous cells decreased (P<0.05);the angiogenesi and vasculogenic mimicry were enhanced (P<0.01);the internal flow peak of SOCE was low (P<0.05); the expression of p-ERK1/2, MMP-2, and VEGF proteins decreased (P<0.01); and the expression of E-cadherin protein increased (P<0.01). Conclusion:ORAI1 may promote the migration and invasion of SW480. This mechanism may be associated with the increase of SOCE.
2.Study on artificial intelligence-based ultrasonic-assisted diagnosis for developmental dysplasia of the hip
Xiwei SUN ; Qingjie WU ; Zhiye GUAN ; Xiaogang HE ; Jun SUN ; Jihong FANG ; Fang YANG ; Yudong LIN ; Liang YUAN ; Kang XIE ; Jianyi JIANG ; Chuanbin LIU ; Hongtao XIE ; Jingyuan XU ; Sicheng ZHANG
Chinese Journal of Orthopaedics 2022;42(16):1084-1092
Methods:Two thousand standard sections images werre collected from 2 000 clinical retrospective pediatric hip ultrasound videos from January 2019 to January 2021. All standard sections were annotated by the annotation team through the self-designed software based on Python 3.6 environment for image cross-media data annotation and manual review standardization process with unified standards. Among them, 1 753 were randomly selected for training the deep learning system, and the remaining 247 were used for testing the system. Further, 200 standard sections were randomly selected from the test set, and 8 clinicians independently completed the film reading annotation. The 8 independent results were then compared with the AI results.Results:The testing set consists of 247 patients. Compared with the clinician's measurements, the area under the receiver operating characteristic curve (AUC) of diagnosing hip joint maturity was 0.865, the sensitivity was 76.19%, and the specificity was 96.9%. The AUC of AI system interpretation under Graf detailed typing was 0.575, the sensitivity was 25.90%, the specificity was 89.10%. The 95% LoA of α-angle determined by Bland-Altman method, of -4.7051° to 6.5948° ( Bias -0.94, P<0.001), compared with clinicians' measurements. The 95% LoA of β-angle, of -7.7191 to 6.8777 ( Bias -0.42, P=0.077). Compared with those from 8 clinicians, the results of AI system interpretation were more stable, and the β-angle effect was more prominent. Conclusion:The AI system can quickly and accurately measure the Graf correlation index of standard DDH ultrasonic standard diagnosis plane.