Association between TIMP-1,TIMP-2 and the progression and prognosis of NSCLC patients
Objective To analyze the correlation between matrix metalloproteinase inhibitor 1(TIMP-1)and matrix metalloproteinase inhibitor 2(TIMP-2)with the progression of lung cancer patients and their predictive efficacy for poor prognosis.Methods 86 non-small cell lung cancer(NSCLC)patients were divided based on lesion metastasis into the metastatic group(36 cases)and non-metastatic group(50 cases).General and clinical data were compared,and risk factors for lesion metastasis were analyzed using univariate analysis and logistic regression.The correlation between TIMP-1,TIMP-2,and tumor biomarker levels was assessed using the Spearman correlation coefficient.The predictive efficacy of TIMP-1 and TIMP-2 was verified by drawing receiver operating characteristic(ROC)curves and calculating the area under the curve(AUC).Results Statistical univariate analysis revealed that male patients,aged≥65 years,with a history of smoking,and those who did not receive adjuvant treatment after surgery,where TIMP-1≥5.00 ng/mL,TIMP-2≤90.00 ng/mL,CEA≥20.00 μg/L,SCC-Ag≥10.00 ng/mL,and Cy211≥20.00 ng/mL,were more likely in the metastatic group than in the non-metastatic group(P<0.05).Logistic regression analysis identified these factors as significant risks for lesion metastasis.Spearman correlation tests showed TIMP-1 was positively correlated with CEA,SCC-Ag,and Cy211,whereas TIMP-2 was negatively correlated(P<0.05).According to Roc curve analysis,the sensitivity and specificity of TIMP-1 in predicting poor prognosis of lung cancer were 85.49%and 79.23%,respectively,with a cut-off value of 5.45 ng/mL and an AUC of 0.861.The sensitivity and specificity of TIMP-2 IN predicting poor prognosis of lung cancer were 82.41%and 75.42%,respectively,with a cut-off value of 94.47 ng/mL and an AUC of 0.858.Conclusion Assessing TIMP-1 and TIMP-2 levels can facilitate early prediction of poor prognosis in NSCLC patients.
万方数据
维普
