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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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