Objective To investigate the role of microRNA(miR)-567 in the proliferation,migration and cell cycle of non-small cell lung cancer(NSCLC)through regulation of cyclin dependent kinase 8(CDK8)and its clinical relevance.Methods Tumor tissues and adjacent tissues of 40 NSCLC patients were collected,and the expressions of miR-567 and CDK8 were detected by real-time quantitative fluorescent PCR(qRT-PCR).miR-NC mimic,miR-567 mimic,oe-NC,and oe-CDK8 were transfected into A549 and H1975 cells.The ex-pressions of miR-567 and CDK8 were detected using qRT-PCR.Cell proliferation was detected by CCK-8 method,and cell migration was detected by Transwell assay.Cell cycle changes were detected by flow cytome-try.The targeting of miR-567 and CDK8 was detected by luciferase reporter gene assay.Results In the tumor tissues of NSCLC patients,the expression of miR-567 was decreased,while the expression of CDK8 was in-creased,and the two were negatively correlated(P＜0.05).In A549 and H1975 cells,miR-567 mimic group was compared with miR-NC mimic group,the expression of miR-567 was increased,the expression of CDK8 was decreased,the proliferation and migration levels of cells were decreased,the proportion of G1 phase was increased,and the proportion of S phase was decreased.The fluorescence intensity of miR-567 mimic group was lower than that of miR-NC mimic group in normal CDK8.miR-567 mimic+oe-CDK8 group was compared with miR-567 mimic+oe-NC group,the expression of CDK8 was increased,the proliferation and migration levels of cells were increased,the proportion of cells in G1 phase was decreased,and the proportion of cells in S phase was increased.Conclusion miR-567 can inhibit NSCLC proliferation and migration by targeting CDK8 expression and controlling tumor cell arrest in the S phase.

Objective:To investigate the application value of 3D printed model in hemostasis training for laparoscopic sleeve gastrectomy.Methods:The retrospective and descriptive study was conducted. Data were collected from six surgeons who participated in hemostasis training for laparoscopic sleeve gastrectomy using 3D printed model at Zhejiang Provincial People′s Hospital in July 2023. All participants were male, aged (33.5±9.9)years. A 3D printed model simulating bleeding during laparoscopic sleeve gastrectomy was created using hydrogel. Videos were recorded to document the surgeons′ hemostasis techniques and outcomes during laparoscopic sleeve gastrectomy. Two external expert reviewers blindly assessed the training videos using the objective structured assess-ment of technical skills (OSATS) scoring system to evaluate mesentery mobilization, vessel exposure, vessel clipping and bleeding after vessel clipping. Observation indicators: (1) face validity and content validity of the 3D printed model; (2) validity verification of the 3D printed model. Measurement data with normal distribution were represented as Mean± SD. Comparison between groups was conducted using the t test. Results:(1) Face validity and content validity of the 3D printed model. The surgeons′ scores for overall impression, fidelity, texture, appearance, workspace and tactile similarity of the 3D printed model were 4.5±0.6, 4.0±0.6, 3.7±0.5, 4.2±0.8, 3.8±0.8 and 4.2±0.4, respectively. The surgeons′ scores for similarity to real scenarios, operation convenience, learning curve shortening and operation skills improving, patient risk reduction, trainee′s interest enhancing, confidence increasing and recommendation for promotion were 4.0±0.6, 4.2±0.8, 4.3±0.8, 4.3±0.5, 4.3±0.5, 4.0±0.6 and 4.8±0.4, respectively. (2) Validity verification of the 3D printed model. The OSATS scores and operation time to treat bleeding during laparoscopic sleeve gastrectomy for expert surgeons were 18.7±0.6 and (125±12)seconds, respectively, versus 13.7±1.5 and (212±51)seconds for junior doctors, showing significant differences between the two groups ( t=5.30, -2.89, P<0.05). Conclusion:The 3D printed model effectively simulates bleeding scenarios during laparoscopic sleeve gastrectomy and distinguishes between different technical levels of expertise.