Objective To construct stable chromokinesin KIF4A knockdown gastric cancer cell lines (SGC-7901) and study the mitotic spindle midzone formation in these cells.Methods Short hairpin RNA (shRNA) expression plasmids of pGPU-GFP-shKIF4A,pGPU-GFP-shNC specific targetting KIF4A and non-sense DNA sequences were constructed respectively and then transfected into SGC-7901 cells.The cells were cultured in selection medium containing G418 to form single clones.Stable KIF4A shRNA expressing SGC-7901 cells were picked up under an fluoroscent microscope and identified by Western Blot.The spindle midzone in these cells was analyzed after immunofluorescence staining.Results Three cell lines stably expressing KIF4A shRNA and one with shNC were successfully constructed.Compare to the control cell line,KIF4A knockdown cell lines represented remarkable elongation of spindle midzone and the less the KIF4A,the longer spindle midzone.Conclusions Stable KIF4A knockdown SGC-7901 cell lines were successfully constructed that can serve for further study of KIF4A ' s function and its role in proliferation and development of gastric cancer.

Breast cancer and lung cancer are the two most common malignancies in China. With the continuous improvement of breast cancer diagnosis and treatment technology, the survival time of breast cancer patients has been prolonged, and the number of breast cancer patients with second primary lung cancer (SPLC) has increased. In addition, breast cancer is the most common primary cancer in female patients with SPLC, and SPLC is the main cause of death in this population. More and more physicians pay attention to this clinical phenomenon. This paper summarized the risk and risk factors of SPLC in breast cancer patients, and elaborated its pathogenesis, in order to provide a theoretical basis for the clinical management of breast cancer patients and achieve accurate early intervention as soon as possible.
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Humans ; Female ; Lung Neoplasms/pathology* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Breast Neoplasms/complications* ; Neoplasms, Second Primary/pathology* ; Risk Factors

Objective    To explore the value of artificial intelligence (AI) diagnostic imaging system and three dimensional computed tomographic bronchoangiography (3D-CTBA) surgical planning system in the management of multiple primary lung cancer (MPLC). Methods    The clinical data of 53 patients with MPLC treated surgically in our hospital from January 2018 to August 2020 were retrospectively analyzed, including 16 males and 37 females, with a median age of 60 (39-75) years. The patients' preoperative CT was analyzed by AI and manually, and the data of patients who underwent 3D-CTBA were compiled to evaluate the value of AI and 3D-CTBA in the diagnosis and treatment of MPLC, respectively. Results     The sensitivity of AI screening for MPLC was 84.91%. The sensitivity (91.90% vs. 83.78%) and accuracy (85.60% vs. 84.00%) of AI diagnosis of high-risk MPLC infiltrative lesions were better than those of manual diagnosis. 3D-CTBA was used for planning the surgery in 12 patients, and the intraoperative situation was generally consistent with the reconstructed results. Conclusion    AI is of high value in identifying infiltrative lesions of MPLC. 3D-CTBA reconstruction of anatomical structures is accurate and can guide preoperative planning.