Objective:To study the effects of Hedgehog signal transduction pathway on the cell proliferation, apoptosis and connexin 32 (Cx32)and connexin 43 (Cx43)membranous distribution of breast cancer cells,and to explore its mechanism in the cell proliferation and metastasis of breast cancer.Methods:The breast cancer MCF-7 cells at logarithmic growth period were divided into cyclopamine groups and blank control groups. The MCF-7 in cyclopamine groups were treated with 5,10,20,30 and 40μmol·L-1 for 24,48 and 72 h;MTT assay was applied to detect the inhibitory rate of proliferation of MCF-7 cells. After the MCF-7 cells were treated with 0 (negative control group)and 25μmol·L-1 cyclopamine for 48 h,flow cytometry was employed to determine the apoptotic rate and to analyze membranous distribution of Cx32 and Cx43 in the MCF-7 cells.Results:Compared with blank control group,the inhibitory rates of proliferation in cyclopamine groups were increased (P<0.05), and the inhibitory effect of proliferation was increased with the increasing of cyclopamine doses and prolongation of treatment time.After treated with 25μmol·L-1 cyclopamine,the apoptotic rate of MCF-7 cells was higher than that in blank control group (P<0.05).The positive expression rates of Cx32 and Cx43 48 h after treatment were higher than those in negative control group (P<0.05).Conclusion:Hedgehog signal transduction pathway can inhibit the apoptosis and mediate membranous distribution of Cx32 and Cx43 in breast cancer cells.

Objective:To automatically segment four body components at the T4 thoracic veertebra plane on chest CT in the newly diagnosed multiple myeloma(MM)patients by deep learning model,and to discuss the correlation between the four body components and the prognosis of the MM patients.Methods:The retrospective analysis was conducted on the clinical data of the MM patients diagnosed in our hospital from January 2017 to December 2021.The clinical informations such as age,gender,weight,height,and body mass index(BMI)of the patients were collected.The laboratory data of the patients were collected,including serum levels of lactate dehydrogenase(LDH),calcium(Ca),creatinine(Scr),albumin(Alb),hemoglobin(Hb),β2-microglobulin(β2-MG),and serum free light chains.The chest CT images of 79 regularly evaluated MM patients detected by deep learning model were divide into four body components:pectoralis major,pectoralis minor,subcutaneous fat,and mediastinal fat.Image J software was used to detect the areas of the four body components at the T4 thoracic vertebra plane,and their correlation with the prognosis of the MM patients was analyzed by Kaplan-Meier survival analysis.Results:The univariate analysis results showed that the area of subcutaneous fat,serum Ca levels,Scr levels,and International Staging System(ISS)stage were related to the overall survival(OS)of the MM patients(HR=2.260,95％CI:1.116-4.578,P=0.024;HR=2.088,95％CI:1.007-4.327,P=0.048;HR=2.209,95％CI:1.105-4.414,P=0.025;HR=1.730,95％CI:1.040-2.879,P=0.035).The multivariate analysis results showed that the area of subcutaneous fat among the four body components was an independent risk factor affecting the prognosis of the MM patients(95％CI:1.228-5.782,P=0.013).The Log-Rank test results showed that compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.018).There was no significant difference in OS of the patients with different genders between high subcutaneous fat area group and low subcutaneous fat area group(P＞0.05).In the patients without hematopoietic stem cell transplantation,compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.037).Conclusion:Among the four body components at the T4 thoracic vertebra plane,the area of subcutaneous fat is related to the OS of the MM patients and it is an independent risk factor for the prognosis of the MM patients,while the areas of mediastinal fat,pectoralis major,and pectoralis minor have no predictive value for the prognosis of the MM patients.