Objective To investigate the effect and mechanism of EGFR in inducing vasculogenic mimicry (VM)formation.Methods Immunohistochemistry was used to detect the expression of EGFR protein and CD34-PAS double staining was used to detect the VM in gliomas paraffin blocks.The migration and VM formation of U87 cell in hypoxic and normoxic groups were detected by transwell and three-dimensional culture.Then we used Western blot to detect the expressions of EGFR,AKT and PI3K protein.Results The positive rate of EGFR expression in VM positive patients was 94.4%,which was significantly higher than that in VM negative patients (71.8%).In hypoxic group,the abilities of migration and VM formation were significantly higher those in normoxic group.The expressions of EGFR,AKT and PI3K were higher in hypoxic group.Conclusion VM formation can be induced by the activation of EGFR/AKT/PI3K signaling pathway.EGFR is very important for VM formation.

Objective To explore the association between clinical pathological characteristics and the expressions of epidermal growth factor receptor (EGFR) and protein kinase B (AKT) in gastric carcinomas.Methods The expressions of EGFR and AKT were measured with immunohistochemical method in the cancer tissues and cancer-adjacent normal tissues from 153 cases of patients with gastric cancer.The association between clinical pathological characteristics and their expressions were analyzed.Results The expressions of AKT and EGFR in gastric cancer tissues had no relationship with gender,age,pathological type,and the degree of differentiation (P ＞ 0.05).A positive correlation was existed between the EGFR and TNM stages (x2 =5.43,P ＜0.05).The AKT was positively related to the size,T stage,and TNM stage of the tumor,respectively (x2 =4.73,4.95,5.32,P ＜0.05 orP ＜0.01).The levels of AKT (x2=4.83,4.75,P ＜0.05) and EGFR(x2 =4.67,4.58,P ＜0.05) in the gastric cancer tissues with lymph node and/or distant metastasis were significantly higher than the gastric cancer tissues without metastasis,respectively.Conclusions The over-expressions of AKT and EGFR would benefit the diagnosis and stages of a gastric cancer and the determination of its metastasis.

OBJECTIVE: To investigate the relationship between the expression of leptin, p-mTOR protein and the pathogenesis, development and clinicopathological features in colon carcinoma. METHODS: The expression of leptin and p-mTOR protein was evaluated by immunohistochemical methods in 40 normal colon mucosas, 40 colon adenomatous polyps and 108 cases of colon carcinomas. The relationship between the staining pattern and clinicopathogical features was examined. RESULTS: The positive rates of detection of leptin in normal colon mucosa, adenomatous polyps and colon carcinomas were 10% (4/40), 27.5% (11/40), and 71.3% (77/108), respectively; with significant differences among the three groups (P<0.05). The positive rates of p-mTOR protein in the normal colon mucosa, the adenomatous polyps, and the colon carcinomas were 2.5% (1/40), 20% (8/40), and 61.1% (66/108), respectively; with significant differences among the three groups (P<0.05). The expression of leptin and p-mTOR proteins were related to invasive depth, TNM stages, lymph node metastasis, distant metastasis and tumor differentiation (P<0.05), but not to age, sex, or site (P>0.05). In colon carcinoma tissues, leptin expression was positively correlated with p-mTOR expression (P<0.01). CONCLUSION Leptin and p-mTOR proteins may play important roles in the occurrence and development of colon carcinoma. The detection of leptin and p-mTOR may be helpful for evaluation of the prognosis of the patient with colon carcinoma.
Adenocarcinoma ; metabolism ; pathology ; Adenomatous Polyps ; metabolism ; pathology ; Aged ; Colon ; metabolism ; Colonic Neoplasms ; metabolism ; pathology ; Female ; Humans ; Intestinal Mucosa ; metabolism ; Leptin ; metabolism ; Male ; Middle Aged ; Neoplasm Metastasis ; Phosphorylation ; Prognosis ; TOR Serine-Threonine Kinases ; metabolism

Machine learning based artificial intelligence technology for big data processing has shown great potential in predicting patients' conditions and aiding clinical decisions, and has been widely used in the development of clinical decision support systems in recent years. Sepsis is a life -threatening organ dysfunction caused by host response disorder caused by infection, and its early recognition and treatment can significantly improve the prognosis of patients. At present, there are many deficiencies in the clinical application of sequential organ failure assessment (SOFA), bedside quick sequential organ failure assessment (qSOFA), national early warning score (NEWS), inflammatory indicators, and novel biomarkers for evaluating sepsis. Artificial intelligence has promoted the development of critical care medicine because of its ability to rapidly process and analyze massive data of severe patients. This paper reviews the recent application of artificial intelligence in the early diagnosis and prediction of sepsis, in order to emphasize the importance and limitations of artificial intelligence in the diagnosis and prediction of sepsis.

Objective:To explore the application and effects of the self-management-oriented network platform in depression rehabilitation.Methods:Totally 118 patients with depression discharged from a municipal mental health center and the communities that it governs between January and December 2017 were selected by convenient sampling and divided into the study group and the control group by Excel sheets, with 59 cases in each group, of which 2 cases dropped out from the study group. Patients in the control group received routine disease management, while patients in the study group received self-management and education via the depression network management platform after a personalized management plan was formulated upon discharge on this basis. After 6 months of intervention, the improvements in satisfaction, self-efficacy and suicidal risks were compared between the two groups.Results:After intervention, the satisfaction scores of visit time, visit attitude, visit content, and humanistic care of the study group were higher than those of the control group, and the differences were statistically significant ( P<0.05) ; the General Self-Efficacy Scale score of the study group was higher than that of the control group, and the difference was statistically significant ( P<0.05) ; the scores of despair, optimism, and sleep factors in suicidal ideation in the study group were lower than those of the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The self-management-oriented network platform management model for discharged patients with depression can improve patient satisfaction, enhance their sense of self-efficacy, reduce the risk of suicide, and strengthen their self-management capabilities.

Objective:To investigate the application effect of population/patient, intervention/exposure, comparison/control, and outcome (PICO) principles based on evidence-based medicine in case reports of residents in operative dentistry and endodontics.Methods:A total of 56 residents in Department of Conservative Dentistry and Endodontics in Hospital of Stomatology, Sun Yat-sen University, were selected and randomly divided into experimental group and control group, with 28 residents in each group. The residents in the experimental group were guided by the teachers to apply PICO principles in preparing case reports, and those in the control group were guided by the teachers to prepare traditional case reports. The two groups were compared in terms of the language expression of case reports, the completeness of case records, the rationality and advancement of the diagnosis and treatment regimen, and the logicality and scientificity of discussion, and a questionnaire survey was performed for both groups. SPSS 24.0 software was used to perform the descriptive statistical analysis, the t-test, and the chi-square test. Results:The experimental group had a significantly higher mean score of case report than the control group in department examination [(89.25±3.24) vs. (86.32±3.55), t=3.23, P=0.002], especially the score of the logicality and scientificity of discussion [(27.25±0.16) vs. (23.78±0.36), t=8.77, P<0.001]. The questionnaire survey showed that the experimental group had a significant increase in the frequency of participating in case reports ( P=0.035). Conclusions:The application of PICO principles can enhance the overall quality of case reports by residents and improve their enthusiasm in participating in case reports in department of operative dentistry and endodontics.