Expression changes of DPP3 and SMAC in esophageal carcinoma and their relationships with clinicopathological features and prognosis
Objective To investigate the expression changes of dipeptidyl peptidase Ⅲ(DPP3)and second mito-chondria-derived activator of caspase(SMAC)in esophageal carcinoma tissues and their relationships with clinicopatholog-ical features and prognosis.Methods Totally 101 esophageal cancer patients were selected,and intraoperatively resected esophageal cancer tissues and their adjacent normal tissues were detected by immunohistochemistry to compare the positive expression rates of DPP3 and SMAC in different tissues.We analyzed the relationships between the positive expression of DPP3 and SMAC in esophageal cancer tissues and clinicopathological features.After 3 years of follow-up after discharge,Kaplan-Meier curves were plotted to compare the 3-year survival rates of those with positive/negative expression of DPP3 and SMAC.Results Compared with the adjacent normal tissues,the positive expression rate of DPP3 in the esophageal cancer tissues increased,while the positive expression rate of SMAC decreased(χ2= 49.744,32.020,respectively;both P<0.05).The positive expression rates of DPP3 and SMAC in the esophageal cancer tissues were related to degree of tis-sue differentiation,TNM stage,and lymph node metastasis(all P<0.05).There were no lost cases during 3 years of fol-low-up and 33 deaths during this period,with the overall survival rate of 67.33%(68/101).Survival analysis showed that the 3-year survival rate was lower in DPP3-positive patients than in DPP3-negative ones,and was higher in SMAC-positive patients than in SMAC-negative ones(Log-rank χ2 =6.342,10.811,respectively;both P<0.05).Conclusion DPP3 is highly expressed in esophageal cancer tissues,while SMAC is lowly expressed,both of which are associated with the degree of tissue differentiation,TNM staging,lymph node metastasis and poor prognosis.
esophageal carcinomadipeptidyl peptidase Ⅲsecond mitochondria-derived activator of caspaseclinicopathological featuresprognosis
万方数据
维普
