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肺癌相关基因甲基化在肺癌早期诊断中的 作用.

Authors :
李杨
樊青霞
Source :
Chinese Journal of Oncology. aug2020, Vol. 42 Issue 8, p644-647. 4p.
Publication Year :
2020

Abstract

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), 0-6-methylguanine-DNA methyltransferase (MGMT), APC gene promoter IA ( APCIA) and epithelial mucoprotein gene ( ECAD) in the blood samples of two groups of patients were mialyzed 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, APCIA 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), APCI A ( 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, APC I A 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 eah 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 potentianlly clinical application value. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
02533766
Volume :
42
Issue :
8
Database :
Academic Search Index
Journal :
Chinese Journal of Oncology
Publication Type :
Academic Journal
Accession number :
146918069
Full Text :
https://doi.org/10.3760/cma.j.cnl12152-20200410-00330