In the complex set of biological processes that a particular malignancy to metastasize,tumor cells must adapt to different survival pressures.As an important cell-physiologic response that under regulation of many genes and their expressions,autophagy not only can be strongly induced to adapt to metabolic stresses and microenvironmental changes,but also involved in the process of epithelial-mesenchymal transition ( EMT),restcting inflammation,resisting anoikis,maintaining dormancy in the metastatic process.

Objective To investigate the disinfection effect and cytotoxicity of intelligent water treatment system on dental unit waterlines (DUWLs), so as to provide basis for the safe and intelligent treatment of DUWLs.Methods From September to October 2017, 4 dental units with intelligent water treatment system were selected as the experimental group, and 4 dental units with municipal water as the source of water supply were used as the control group. The microbiological quality of water samples collected from DUWLs was assessed before and after installation of the intelligent water disinfection system in terms of the total viable counts of microorganisms. Studentt was used to detect the inhibitory effect of water samples on oral microorganism and its toxicity on human oral normal clone.Results After thoroughly disinfecting the waterlines of the dental unit, the bacteria of dental unit in the control group could rapidly grow up to (3.2±1.02) ×103 CFU/ml within 1 weeks, and the experimental group could be maintained at <100 CFU/ml, the difference was statistically significant (P<0.05); In the control group, Pseudomonas aeruginosa, non tuberculous mycobacteria and Acinetobacter baumannii could be detected in the water samples of the control group, while the above pathogens were not be detected in the experimental group. The water samples in the experimental group had significant inhibitory effects on the common bacteria in the dental unit waterlines and in the human oral cavity (P< 0.05), but only a lower cytotoxicity was shown to the epithelial cells of the human oral cavity.Conclusions The intelligent water treatment system can effectively reduce microbial contamination in dental waterlines and provide safe water for patients.

Objective:To explore effects of multidisciplinary collaborative continuous care based on WeChat platform on peri-implant tissue of patients with periodontitis.Methods:Stratified sampling was used to select 100 patients with chronic periodontitis who underwent periodontal treatment in Stomatology Center of Shenzhen People's Hospital from March 2019 to March 2020, and their periodontal status was stable and implant restoration was completed. According to admission time, they were divided into the observation group (50 cases, 82 implants) and the control group (50 cases, 78 implants) . The observation group was given continuous care mode of multidisciplinary cooperation based on WeChat platform, while the control group was carried out the conventional continuous care intervention. At 0, 3, 9 and 12 months after completion of implant restoration, the peri-implant index of patients in the two groups were evaluated, including plaque index, periodontal pocket depth and probing bleeding index.Results:Within 12 months after implant restoration, the plaque index of the observation group showed a decreasing trend, while that of the control group showed an increasing trend. At 6 and 12 months after repair, the plaque index of the observation group were lower than that of the control group, and the differences were statistically significant ( P<0.05) . Within 12 months of completion of implant restoration, the depth of periodontal pockets in both groups showed an increasing trend. At 3, 6, and 12 months after the restoration, the depth of periodontal pocket in the observation group were lower than that in the control group, and the differences were statistically significant ( P<0.05) . At 12 months after implant restoration, the exploratory bleeding index of the observation group and the control group was respectively 10.22 (0, 19.98) % and 34.23 (16.12, 43.23) %, and the difference between the two groups was statistically significant ( P<0.05) . Conclusions:Multidisciplinary collaborative continuous care based on the WeChat platform can effectively control various periodontal indexes of implants in patients with chronic periodontitis, maintain the health of periodontal tissues and help prevent the occurrence of peri-implantitis.

Objective: To study the buccolingual inclination of posterior premolars and molars and the curve of Wilson in patients with different sagittal skeletal patterns, to explore the compensation mechanism of horizontal inclination of posterior teeth in patients with different sagittal skeletal patterns and to provide a reference for the control of posterior tooth inclination in the treatment of bone malocclusion. Methods: This study was reviewed and approved by the Ethics Committee, and informed consent was obtained from the patients. Ninety CBCT scans of adults and ninety scans of adolescents before orthodontic treatment were evaluated in this cross-sectional study. There were 30 skeletal Class I, Class Ⅱ, and Class Ⅲ patients in the adult group and adolescent group. The inclination angles of posterior teeth and the curve of Wilson of first and second molars were measured, and data were analyzed between adolescents and adults with different sagittal skeletal patterns. Results : Compared with skeletal Class Ⅰ adult patients, the upper posterior molar inclination of skeletal Class Ⅱ patients was significantly lower, and the lower posterior molar inclination was significantly higher. Compared with skeletal ClassⅠ adult patients, the upper posterior molar inclination of skeletal Class Ⅲ adult patients was higher, and the lower posterior molar inclination was significantly lower. The Wilson curve of the second molar in skeletal Class Ⅱ adult patients was significantly higher than that in the other groups. Compared with skeletal ClassⅠ adolescent patients, skeletal Class Ⅲ adolescent patients had a significantly higher upper posterior molar inclination; however, no difference was found between the inclination of the posterior teeth between skeletal Class Ⅰ, Class Ⅱ and Class Ⅲ adolescent patients. Comparing adolescent and adult samples, in skeletal Class Ⅱ patients, adults showed more lingual inclination than adolescents in the upper posterior teeth and less lingual inclination in the lower posterior teeth except for the mandibular first molar. Comparing adolescent and adult samples, in skeletal Class Ⅲ patients, adults showed more lingual inclination than adolescents in the lower posterior teeth except for the mandibular second molars and showed no difference in the upper posterior teeth. Conclusions The inclination of the posterior teeth and the curve of Wilson show significant differences between the three sagittal skeletal patterns. Compared with those of skeletal Class Ⅰ patients, the posterior teeth of skeletal Class Ⅱ patients show more lingual inclination in the upper arch and less lingual inclination in the lower arch. Meanwhile, posterior teeth of skeletal Class Ⅲ patients show more lingual inclination in the lower arch and maintain the inclination in the upper arch.