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

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 methylatio...

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Autores principales: Chen, Yifan, Ma, Shanwu, Lin, Chutong, Zhu, Zhipeng, Bai, Jie, Yin, Zhongnan, Sun, Yan, Mao, Fengbiao, Xue, Lixiang, Ma, Shaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311559/
https://www.ncbi.nlm.nih.gov/pubmed/37396036
http://dx.doi.org/10.3389/fgene.2023.1175784
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author Chen, Yifan
Ma, Shanwu
Lin, Chutong
Zhu, Zhipeng
Bai, Jie
Yin, Zhongnan
Sun, Yan
Mao, Fengbiao
Xue, Lixiang
Ma, Shaohua
author_facet Chen, Yifan
Ma, Shanwu
Lin, Chutong
Zhu, Zhipeng
Bai, Jie
Yin, Zhongnan
Sun, Yan
Mao, Fengbiao
Xue, Lixiang
Ma, Shaohua
author_sort Chen, Yifan
collection PubMed
description 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.
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spelling pubmed-103115592023-07-01 Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma Chen, Yifan Ma, Shanwu Lin, Chutong Zhu, Zhipeng Bai, Jie Yin, Zhongnan Sun, Yan Mao, Fengbiao Xue, Lixiang Ma, Shaohua Front Genet Genetics 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. Frontiers Media S.A. 2023-06-16 /pmc/articles/PMC10311559/ /pubmed/37396036 http://dx.doi.org/10.3389/fgene.2023.1175784 Text en Copyright © 2023 Chen, Ma, Lin, Zhu, Bai, Yin, Sun, Mao, Xue and Ma. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Chen, Yifan
Ma, Shanwu
Lin, Chutong
Zhu, Zhipeng
Bai, Jie
Yin, Zhongnan
Sun, Yan
Mao, Fengbiao
Xue, Lixiang
Ma, Shaohua
Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title_full Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title_fullStr Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title_full_unstemmed Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title_short Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
title_sort integrative analysis of dna methylomes reveals novel cell-free biomarkers in lung adenocarcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311559/
https://www.ncbi.nlm.nih.gov/pubmed/37396036
http://dx.doi.org/10.3389/fgene.2023.1175784
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