Zhonghua Zhong Liu Za Zhi. 2020 Aug 23;42(8):644-647. doi: 10.3760/cma.j.cn112152-20190311-00144.
Objective: To explore the application value of lung cancer-related gene methylation in lung cancer diagnosis. Methods: Sixty patients with lung cancer underwent surgery were selected as the case group, and 65 patients with benign lung lesions treated in the same period were recruited as the control group. The methylation levels of lung cancer-related genes including dying-associated protein kinase (DAPK), O-6-methylguanine-DNA methyltransferase (MGMT), APC gene promoter 1A (APC1A) and epithelial mucoprotein gene (ECAD) in the blood samples of two groups of patients were analyzed by methylated PCR-specific method. The relationship between methylation of lung cancer-related genes and lung cancer was analyzed and its diagnostic value in lung cancer was evaluated. Results: The methylation detection rates of DAPK, MGMT, APC1A and ECAD in the case group were 68.3%, 68.3%, 63.3% and 65.0%, respectively, all higher than those of the control group (all P<0.05). The multivariate Logistic regression analysis showed that DAPK (OR=0.709), MGMT (OR=0.793), APC1A (OR=0.163), and ECAD (OR=2.047) were all independent influencing factors for lung cancer (all P<0.05). Analysis of the receiver operating characteristic curve showed that, the area under the curve (AUC) of DAPK, MGMT, APC1A and ECAD methylation test for lung cancer predicting were 0.623, 0.680, 0.620 and 0.648, respectively, while the AUC of the combined four gene methylation for lung cancer predicting was 0.829, higher than the AUC of each gene (all P<0.05). Conclusion: The combined methylation detection of multiple lung cancer related genes can improve the diagnostic value of lung cancer, contribute to the early diagnosis of lung cancer, and have potentially clinical application value.