Objective To analyze the correlation between clinical/pathological features and survival rate of patients with pulmonary sarcomatoid carcinoma (PSC).Methods The clinical data (patient basic data, clinical symptoms, tumor characteristics and stages, pathological characteristics and treatment methods) of 33 patients with PSC in Anhui ProvincialHospital from September 2015 to June 2021 were analyzed retrospectively. The subjects were grouped by tumor diameter (>7 cm, ≤ 7 cm), tumor stage (TNM stage) and pathological features[Vimentin (VIM), cytokeratin (CK),thyroid transcription factor (TTF-1) and Ki -67)].χ2 test method was used to compare the survival rates of patients in different groups.Kaplan-Meier method was used to draw the survival curve, and Log-rank method was used to compare the survival rates between groups.Results There was no significant difference in the 3-year and 5-year survival rates among patients with different gender, age and smoking status (χ2=0.798, 0.391, 0.926, all P>0.05).The cumulative survival rate of patients with tumor diameter less than 7cm was higher than that of patients with tumor diameter greater than 7 cm (χ2=5.239, P=0.022).The cumulative survival rate of patients with M0 stage was higher than that of patients with M1 stage(χ2=9.494,P=0.002). The cumulative survival rate of patients without tumor metastasis was significantly higher than that of patients with metastasis (χ2=7.838,P=0.005). The cumulative survival rate of patients with weak ki-67 expression (<70%) was significantly higher than that of patients with high expression (χ2=8.545, P=0.004).There was no significant difference in cumulative survival rate between VIM, CK and TTF-1 positive patients and corresponding negative patients (all P>0.05).There was no significant difference in 3-year and 5-year survival rates among patients with different treatment methods (all P>0.05).Conclusion Tumor diameter, M stage and Ki-67 expression affect the survival rate of PSC patients, which may be used as potential indicators to judge the prognosis of patients. |