AIM:This study aims to investigate the role and mechanism of proprotein convertase subtilisin/kexin type 9(PCSK9)in ovarian cancer.METHODS:We compared the expression levels of PCSK9 between ovarian cancer specimens and their corresponding adjacent non-cancerous tissues,while also assessing its expression in various ovarian cancer cell lines.Using a shRNA strategy,we reduced the expression of PCSK9 in ovarian cancer cell lines cul-tured in vitro,with confirmation via Western blot.The effects of PCSK9 downregulation on the proliferation,migration,and invasion of ovarian cancer cells were evaluated through EdU,colony formation,and Transwell assays.Additionally,we analyzed the impact of PCSK9 down-regulation on the MAPK/ERK signaling pathway using Western blot analysis.RE-SULTS:PCSK9 was significantly upregulated in ovarian cancer tissues and cell lines(P＜0.01).Downregulation of PC-SK9 resulted in a significant decrease in cell proliferation,migration,and invasion(P＜0.01).Western blot analysis dem-onstrated that PCSK9 knockdown led to reduced expression levels of key molecules within the MAPK/ERK signaling path-way(P＜0.01).CONCLUSION:PCSK9 promotes the proliferation and invasion of ovarian cancer cells by activating MAPK/ERK signaling pathway.

AIM:This study aims to investigate the role and mechanism of proprotein convertase subtilisin/kexin type 9(PCSK9)in ovarian cancer.METHODS:We compared the expression levels of PCSK9 between ovarian cancer specimens and their corresponding adjacent non-cancerous tissues,while also assessing its expression in various ovarian cancer cell lines.Using a shRNA strategy,we reduced the expression of PCSK9 in ovarian cancer cell lines cul-tured in vitro,with confirmation via Western blot.The effects of PCSK9 downregulation on the proliferation,migration,and invasion of ovarian cancer cells were evaluated through EdU,colony formation,and Transwell assays.Additionally,we analyzed the impact of PCSK9 down-regulation on the MAPK/ERK signaling pathway using Western blot analysis.RE-SULTS:PCSK9 was significantly upregulated in ovarian cancer tissues and cell lines(P＜0.01).Downregulation of PC-SK9 resulted in a significant decrease in cell proliferation,migration,and invasion(P＜0.01).Western blot analysis dem-onstrated that PCSK9 knockdown led to reduced expression levels of key molecules within the MAPK/ERK signaling path-way(P＜0.01).CONCLUSION:PCSK9 promotes the proliferation and invasion of ovarian cancer cells by activating MAPK/ERK signaling pathway.

Objective:To explore the application value of artificial intelligence-assisted diagnosis system for TBS report in cervical cancer screening.Methods:A total of 16 317 clinical samples and related data of cervical liquid-based thin-layer cell smears, which were obtained from July 2020 to September 2020, were collected from Southern Hospital, Guangzhou Huayin Medical Inspection Center, Shenzhen Bao′an People′s Hospital(Group) and Changsha Yuan′an Biotechnology Co., Ltd. The TBS report artificial intelligence-assisted diagnosis system of cervical liquid-based thin-layer cytology jointly developed by Southern Medical University and Guangzhou F. Q. PATHOTECH Co., Ltd. based on deep learning convolution neural network was used to diagnose all clinical samples. The sensitivity,specificity and accuracy of both artificial intelligence-assisted diagnosis system and cytologists using artificial intelligence-assisted diagnosis system were analyzed based on the evaluation standard(2014 TBS). The time spent by the two methods was also compared.Results:The sensitivity of artificial intelligence-assisted diagnosis system in predicting cervical intraepithelial lesions and other lesions (including endometrial cells detected in women over 45 years old and infectious lesions) under different production methods, different cytoplasmic staining and different scanning instruments was 92.90% and 83.55% respectively, and the specificity of negative samples was 87.02%, while that of cytologists using artificial intelligence-assisted diagnosis system was 99.34%, 97.79% and 99.10%, respectively. Moreover, cytologists using artificial intelligence-assisted diagnosis system could save about 6 times of reading time than manual.Conclusions:Artificial intelligence-assisted diagnosis system for TBS report of cervical liquid-based thin-layer cytology has the advantages of high sensitivity, high specificity and strong generalization. Cytologists can significantly improve the accuracy and work efficiency of reading smears by using artificial intelligence-assisted diagnosis system.