“…In our study, these two factors were implicated into the regression equation and the regression equation was as H(t) = [h 0 (t)] e (2.01X8 + 1.49X9) , which suggested that determining the expression of MMP2 in lung cancer tissues is helpful for predicting the prognosis of lung cancer patients. Our conclusion is similar to previous studies that the high expression of MMP2 in NSCLC was associated with tumor type and clinical stage and has a predictive value for low survival rates, short overall survival (OS) and disease free survival (DFS) [ 21 , 24 , 25 ]. Increased MMP2 correlates with histo-differentiation, lymphatic metastasis, progression, and prognosis of lung cancer, suggesting that it could reflect the situation of progression and migration of lung cancer to a certain extent and that it could be a useful diagnostic, prognostic, and predictive biomarker of lung cancer.…”