Construction of Prediction Model for Early Recurrence and Metastasis of Non-Small Cell Lung Cancer Patients after Radical Surgery Based on Serum CEA,GPX3 and CXCL9
Objective:To construct a prediction model for early recurrence and metastasis of non-small cell lung cancer(NSCLC)patients after radical surgery based on serum carcinoembryonic antigen(CEA),glutathione peroxidase 3(GPX3)and C-X-C chemokine ligand 9(CXCL9).Methods:95 cases of NSCLC patients who underwent radical resection of lung cancer in the Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine from July 2018 to December 2019 were selected.Serum CEA,GPX3 and CXCL9 levels were detected by enzyme-linked immunosorbent assay.The patients were followed up for 3 years after the surgery,according to the occurrence of recurrence and metastasis during the follow-up period,the patients were divided into non-recurrence and metastasis group and recurrence and metastasis group.Logistic regression model analysis of influencing factors of postoperative recurrence and metastasis in NSCLC patients,and the prediction model of early recurrence and metastasis in NSCLC patients after radical surgery was established.The predictive efficiency of the prediction model was analyzed by receiver operating characteristic(ROC)curve.Results:After 3 years of follow-up,2 cases of 95 patients were lost to follow-up,there were 36 cases of recurrence and metastasis.Serum CEA and CXCL9 levels in the recurrence and metastasis were higher than those in the non-recurrence and metastasis group,and GPX3 level was lower than that in the non-recurrence and metastasis group(P＜0.05).There were statistically significant differences in tumor type,TNM stage and lymph node dissection count between the recurrence and metastasis group and the non-recurrence and metastasis group(P＜0.05).Logistic regression model showed that TNM stage,lymph node dissection count and serum CEA,GPX3 and CXCL9 levels were influencing factors of postoperative recurrence and metastasis in NSCLC patients(P＜0.05).ROC-AUC(0.95CI)of Log P prediction model was 0.862(0.772～0.943).Conclusion:The increase of serum CEA and CXCL9 levels,and the decrease of GPX3 level are influencing factors for recurrence and metastasis in NSCLC patients after radical resection of lung cancer.The prediction model constructed by combining the Serum CEA,CXCL9,and GPX3 can assist in predicting the risk of recurrence and metastasis of NSCLC after radical resection of lung cancer.
CEAGPX3CXCL9Non-small cell lung cancerRadical resection of lung cancerRecurrence and metastasisPredic-tion model
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