Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma

Front Genet. 2023 Jun 16:14:1175784. doi: 10.3389/fgene.2023.1175784. eCollection 2023.

Abstract

Lung cancer is a leading cause of cancer-related deaths worldwide, with a low 5-year survival rate due in part to a lack of clinically useful biomarkers. Recent studies have identified DNA methylation changes as potential cancer biomarkers. The present study identified cancer-specific CpG methylation changes by comparing genome-wide methylation data of cfDNA from lung adenocarcinomas (LUAD) patients and healthy donors in the discovery cohort. A total of 725 cell-free CpGs associated with LUAD risk were identified. Then XGBoost algorithm was performed to identify seven CpGs associated with LUAD risk. In the training phase, the 7-CpGs methylation panel was established to classify two different prognostic subgroups and showed a significant association with overall survival (OS) in LUAD patients. We found that the methylation of cg02261780 was negatively correlated with the expression of its representing gene GNA11. The methylation and expression of GNA11 were significantly associated with LAUD prognosis. Based on bisulfite PCR, the methylation levels of five CpGs (cg02261780, cg09595050, cg20193802, cg15309457, and cg05726109) were further validated in tumor tissues and matched non-malignant tissues from 20 LUAD patients. Finally, validation of the seven CpGs with RRBS data of cfDNA methylation was conducted and further proved the reliability of the 7-CpGs methylation panel. In conclusion, our study identified seven novel methylation markers from cfDNA methylation data which may contribute to better prognosis for LUAD patients.

Keywords: DNA methylation; GNA11; biomarker; circulating cell-free DNA; lung adenocarcinomas.

Grants and funding

This work was supported by grants from the National Natural Science Foundation of China (No. 32170656; 31701103); Clinical Medicine Plus X - Young Scholars Project, Peking University, the Fundamental Research Funds for the Central Universities (PKU2022LCXQ043); Research start-up funding, Peking University Third Hospital (BYSYYZD2021001); Interdisciplinary Medicine Seed Fund of Peking University (BMU2020MX012); China Postdoctoral Science Foundation (2017M610716); Peking University Third Hospital Talent Program C (BYSYZD2019045); Beijing Nova Program (Z211100002121039).