| Objective: To analyze the expression and clinical significance of c-MET(c-mesenchymal-epithelial transition)in pancreatic cancer based on bioinformatics data mining.Methods: Oncomine bioinformatics gene database was retrieved to analyze the co-expression of c-MET with other genes in pancreatic cancer;c-MET mutation frequency and mutation sites were analyzed by cBioportal bioinformatics gene database;c-MET expression in pancreatic cancer and normal tissues was retrieved by GEPIA database in different databases,and the relationship between c-MET expression and pathological stages of pancreatic cancer was analyzed.Kaplan-Meier was used to analyze the relationship between c-MET expression and patient survival.In addition,Immunohistochemistry(IHC)was used to detect and analyze the expression of c-MET protein in cancer tissues and adjacent tissues of patients with pancreatic cancer.Results: The results showed that the highest correlation value of the first 20 genes co-expressed with c-MET was 0.900.The mutation frequencies of 1034 samples from 5 databases were 2.75%(UTSW),1.08%(TCGA),0.54%(TCGA PanCan)and 0.22%(QCMG),respectively.Non-synonymous mutations,including 5in the PKinase domain,L964 M,D1002G and P1060 S respectively.The results of GEPIA database showed that the expression of c-MET in different datasets of human pancreatic cancer was significantly higher than that in normal pancreatic tissues,with statistical significance.The expression of c-MET was positively correlated with the clinical stage of pancreatic cancer.Survival analysis showed that the survival of patients with high expression of c-MET in pancreatic cancer was positive.The prognosis of pancreatic cancer patients with high expression of c-MET was worse than that of patients with low expression of c-MET.And the results of IHC experiment showed that the expression of c-MET protein in cancer tissues was significantly up-regulated compared with that in adjacent tissues,with statistical significance.Conclusion: c-MET is highly expressed in pancreatic cancer tissues,which is significantly related to the prognosis of patients.It may become a new target for diagnosis and drug treatment of pancreatic cancer. |