[Abstract] Objective: To investigate the effects of forkhead box transcription factor (FOXK2) overexpression on the proliferation, migration, invasion and adhesion of human ovarian cancer SK-OV-3 cells and its related molecular mechanism. Methods: The open reading frame (ORF) of FOXK2 was cloned into lentivirus expression vector, which was then enveloped in HEK293T cells and transfected into human ovarian cancerSK-OV-3cells.TheoverexpressionefficiencywasdetectedbyqPCRandWesternblotting.Theproliferation, migration, invasion and adhesion of SK-OV-3 cells were detected by CCK-8, Scratch-healing, Transwell and Cell adhesion assays respectively, and the expressions of epithelial-mesenchymal transition (EMT) markers were detected by qPCR. Results: The FOXK2 overexpression vector was constructed successfully and packaged into lentivirus, which was then transfected into SK-OV-3 cells. After transfection, the expression of FOXK2 was significantly increased (P<0.01); the proliferation, migration and invasion of SK-OV-3 cells were significantly reduced while the adhesion ability was significantly increased (P<0.05 or P<0.01); and the expression levels of E-cadherin and β-catenin were significantly increased while that of vimentin and fibronection were significantly decreased (all P<0.01). Conclusion: Overexpression of FOXK2 in SK-OV-3 cells leads to a significant decrease in proliferation, migration and invasion but increase in adhesion. The molecular mechanism may be related to the reversion of the EMT process in tumor cells, suggesting that FOXK2 may be a potential target for the diagnosis and treatment of ovarian cancer.

Lung cancer is one of the malignant tumors with the highest morbidity and mortality in the world. The low early diagnosis rate and poor prognosis of patients have caused serious social burden. Regular screening of high-risk population by low-dose spiral computed tomography (LDCT) can significantly improve the early diagnosis rate of lung cancer and bring new opportunities for the diagnosis and treatment of lung cancer. In recent years, LDCT lung cancer screening programs have been carried out in many countries around the world and achieved good results, but there are still some controversies in the selection of screening subjects, screening frequency, cost effectiveness and other aspects. In this paper, the key factors of LDCT lung cancer screening, screening effect, pulmonary nodule management and artificial intelligence contribution to the development of LDCT will be reviewed, and the application progress of LDCT in lung cancer screening will be discussed.
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Artificial Intelligence ; Early Detection of Cancer/methods* ; Humans ; Lung Neoplasms/diagnostic imaging* ; Radiation Dosage ; Tomography, Spiral Computed/methods*