Cargando…
Genome-wide analysis of DNA methylation in bronchial washings
BACKGROUND: The objective of this study was to discover DNA methylation biomarkers for detecting non-small lung cancer (NSCLC) in bronchial washings and understanding the association between DNA methylation and smoking cessation. METHODS: DNA methylation was analyzed in bronchial washing samples fro...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960087/ https://www.ncbi.nlm.nih.gov/pubmed/29796116 http://dx.doi.org/10.1186/s13148-018-0498-8 |
_version_ | 1783324520992473088 |
---|---|
author | Um, Sang-Won Kim, Yujin Lee, Bo Bin Kim, Dongho Lee, Kyung-Jong Kim, Hong Kwan Han, Joungho Kim, Hojoong Shim, Young Mog Kim, Duk-Hwan |
author_facet | Um, Sang-Won Kim, Yujin Lee, Bo Bin Kim, Dongho Lee, Kyung-Jong Kim, Hong Kwan Han, Joungho Kim, Hojoong Shim, Young Mog Kim, Duk-Hwan |
author_sort | Um, Sang-Won |
collection | PubMed |
description | BACKGROUND: The objective of this study was to discover DNA methylation biomarkers for detecting non-small lung cancer (NSCLC) in bronchial washings and understanding the association between DNA methylation and smoking cessation. METHODS: DNA methylation was analyzed in bronchial washing samples from 70 NSCLCs and 53 hospital-based controls using Illumina HumanMethylation450K BeadChip. Methylation levels in these bronchial washings were compared to those in 897 primary lung tissues of The Cancer Genome Atlas (TCGA) data. RESULTS: Twenty-four CpGs (p < 1.03E−07) were significantly methylated in bronchial washings from 70 NSCLC patients compared to those from 53 controls. The CpGs also had significant methylation in the TCGA cohort. The 123 participants were divided into a training set (N = 82) and a test set (N = 41) to build a classification model. Logistic regression model showed the best performance for classification of lung cancer in bronchial washing samples: the sensitivity and specificity of a marker panel consisting of seven CpGs in TFAP2A, TBX15, PHF11, TOX2, PRR15, PDGFRA, and HOXA11 genes were 87.0 and 83.3% in the test set, respectively. The area under the curve (AUC) was equal to 0.87 (95% confidence interval = 0.73–0.96, p < 0.001). Methylation levels of two CpGs in RUNX3 and MIR196A1 genes were inversely associated with duration of smoking cessation in the controls, but not in NSCLCs, after adjusting for pack-years of smoking. CONCLUSIONS: The present study suggests that NSCLC may be detected by analyzing methylation changes of seven CpGs in bronchial washings. Furthermore, smoking cessation may lead to decreased DNA methylation in nonmalignant bronchial epithelial cells in a gene-specific manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0498-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5960087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59600872018-05-24 Genome-wide analysis of DNA methylation in bronchial washings Um, Sang-Won Kim, Yujin Lee, Bo Bin Kim, Dongho Lee, Kyung-Jong Kim, Hong Kwan Han, Joungho Kim, Hojoong Shim, Young Mog Kim, Duk-Hwan Clin Epigenetics Research BACKGROUND: The objective of this study was to discover DNA methylation biomarkers for detecting non-small lung cancer (NSCLC) in bronchial washings and understanding the association between DNA methylation and smoking cessation. METHODS: DNA methylation was analyzed in bronchial washing samples from 70 NSCLCs and 53 hospital-based controls using Illumina HumanMethylation450K BeadChip. Methylation levels in these bronchial washings were compared to those in 897 primary lung tissues of The Cancer Genome Atlas (TCGA) data. RESULTS: Twenty-four CpGs (p < 1.03E−07) were significantly methylated in bronchial washings from 70 NSCLC patients compared to those from 53 controls. The CpGs also had significant methylation in the TCGA cohort. The 123 participants were divided into a training set (N = 82) and a test set (N = 41) to build a classification model. Logistic regression model showed the best performance for classification of lung cancer in bronchial washing samples: the sensitivity and specificity of a marker panel consisting of seven CpGs in TFAP2A, TBX15, PHF11, TOX2, PRR15, PDGFRA, and HOXA11 genes were 87.0 and 83.3% in the test set, respectively. The area under the curve (AUC) was equal to 0.87 (95% confidence interval = 0.73–0.96, p < 0.001). Methylation levels of two CpGs in RUNX3 and MIR196A1 genes were inversely associated with duration of smoking cessation in the controls, but not in NSCLCs, after adjusting for pack-years of smoking. CONCLUSIONS: The present study suggests that NSCLC may be detected by analyzing methylation changes of seven CpGs in bronchial washings. Furthermore, smoking cessation may lead to decreased DNA methylation in nonmalignant bronchial epithelial cells in a gene-specific manner. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0498-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-18 /pmc/articles/PMC5960087/ /pubmed/29796116 http://dx.doi.org/10.1186/s13148-018-0498-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Um, Sang-Won Kim, Yujin Lee, Bo Bin Kim, Dongho Lee, Kyung-Jong Kim, Hong Kwan Han, Joungho Kim, Hojoong Shim, Young Mog Kim, Duk-Hwan Genome-wide analysis of DNA methylation in bronchial washings |
title | Genome-wide analysis of DNA methylation in bronchial washings |
title_full | Genome-wide analysis of DNA methylation in bronchial washings |
title_fullStr | Genome-wide analysis of DNA methylation in bronchial washings |
title_full_unstemmed | Genome-wide analysis of DNA methylation in bronchial washings |
title_short | Genome-wide analysis of DNA methylation in bronchial washings |
title_sort | genome-wide analysis of dna methylation in bronchial washings |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960087/ https://www.ncbi.nlm.nih.gov/pubmed/29796116 http://dx.doi.org/10.1186/s13148-018-0498-8 |
work_keys_str_mv | AT umsangwon genomewideanalysisofdnamethylationinbronchialwashings AT kimyujin genomewideanalysisofdnamethylationinbronchialwashings AT leebobin genomewideanalysisofdnamethylationinbronchialwashings AT kimdongho genomewideanalysisofdnamethylationinbronchialwashings AT leekyungjong genomewideanalysisofdnamethylationinbronchialwashings AT kimhongkwan genomewideanalysisofdnamethylationinbronchialwashings AT hanjoungho genomewideanalysisofdnamethylationinbronchialwashings AT kimhojoong genomewideanalysisofdnamethylationinbronchialwashings AT shimyoungmog genomewideanalysisofdnamethylationinbronchialwashings AT kimdukhwan genomewideanalysisofdnamethylationinbronchialwashings |