Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers

Abstract Background DNA methylation can regulate the role of long noncoding RNAs (lncRNAs) in the development of lung adenocarcinoma (LUAD). The present study aimed to identify methylation-driven lncRNAs and mRNAs as biomarkers in the prognosis of LUAD using bioinformatics analysis. Methods Differen...

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Main Authors: Rui Li, Yi-E Yang, Yun-Hong Yin, Meng-Yu Zhang, Hao Li, Yi-Qing Qu
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12967-019-2068-z
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spelling doaj-c257ce12621343899cc6fed12798abd82020-11-25T02:44:57ZengBMCJournal of Translational Medicine1479-58762019-09-0117111410.1186/s12967-019-2068-zMethylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkersRui Li0Yi-E Yang1Yun-Hong Yin2Meng-Yu Zhang3Hao Li4Yi-Qing Qu5Department of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong UniversityDepartment of Clinical Laboratory, Qianfoshan Hospital of Shandong ProvinceDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong UniversityDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong UniversityDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong UniversityDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong UniversityAbstract Background DNA methylation can regulate the role of long noncoding RNAs (lncRNAs) in the development of lung adenocarcinoma (LUAD). The present study aimed to identify methylation-driven lncRNAs and mRNAs as biomarkers in the prognosis of LUAD using bioinformatics analysis. Methods Differentially expressed RNAs were obtained using the edge R package from 535 LUAD tissues and 59 adjacent non-LUAD tissues. Differentially methylated genes were obtained using the limma R package from 475 LUAD tissues and 32 adjacent non-LUAD tissues. Methylation-driven mRNA and lncRNA were obtained using the MethylMix R package from 465 LUAD tissues with matched DNA methylation and RNA expression and 32 non-LUAD tissues with DNA methylation. Gene ontology and ConsensusPathDB pathway analysis were performed to identify functional enrichment of methylation-driven mRNAs. Univariate and multivariate Cox regression analyses were performed to identify the independent effect of each variable for predicting the prognosis of LUAD. Kaplan–Meier curve analysis of DNA methylation and gene expression might provide potential prognostic biomarkers for LUAD patients. Results A total of 99 methylation-driven mRNAs and 17 methylation-driven lncRNAs were obtained. Univariate and multivariate Cox regression analysis showed that 6 lncRNAs (FOXE1, HOXB13-AS1_2, VMO1, HIST1H3F, AJ003147.8, ASXL3) were retrieved to construct a predictive model associated with overall survival in LUAD patients. Combined DNA methylation and gene expression survival analysis revealed that 4 lncRNAs (AC023824.1, AF186192.1, LINC01354 and WASIR2) and 8 mRNAs (S1PR1, CCDC181, F2RL1, EFS, KLHDC9, MPV17L, GKN2, ITPRIPL1) might act as independent biomarkers for the prognosis of LUAD. Conclusions Methylation-driven lncRNA and mRNA contribute to the survival of LUAD, and 4 lncRNAs and 8 mRNAs might be potential biomarkers for the prognosis of LUAD.http://link.springer.com/article/10.1186/s12967-019-2068-zLung adenocarcinomaMethylation-driven lncRNAMethylation-driven mRNABiomarkersOverall survival rate
collection DOAJ
language English
format Article
sources DOAJ
author Rui Li
Yi-E Yang
Yun-Hong Yin
Meng-Yu Zhang
Hao Li
Yi-Qing Qu
spellingShingle Rui Li
Yi-E Yang
Yun-Hong Yin
Meng-Yu Zhang
Hao Li
Yi-Qing Qu
Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
Journal of Translational Medicine
Lung adenocarcinoma
Methylation-driven lncRNA
Methylation-driven mRNA
Biomarkers
Overall survival rate
author_facet Rui Li
Yi-E Yang
Yun-Hong Yin
Meng-Yu Zhang
Hao Li
Yi-Qing Qu
author_sort Rui Li
title Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
title_short Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
title_full Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
title_fullStr Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
title_full_unstemmed Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
title_sort methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2019-09-01
description Abstract Background DNA methylation can regulate the role of long noncoding RNAs (lncRNAs) in the development of lung adenocarcinoma (LUAD). The present study aimed to identify methylation-driven lncRNAs and mRNAs as biomarkers in the prognosis of LUAD using bioinformatics analysis. Methods Differentially expressed RNAs were obtained using the edge R package from 535 LUAD tissues and 59 adjacent non-LUAD tissues. Differentially methylated genes were obtained using the limma R package from 475 LUAD tissues and 32 adjacent non-LUAD tissues. Methylation-driven mRNA and lncRNA were obtained using the MethylMix R package from 465 LUAD tissues with matched DNA methylation and RNA expression and 32 non-LUAD tissues with DNA methylation. Gene ontology and ConsensusPathDB pathway analysis were performed to identify functional enrichment of methylation-driven mRNAs. Univariate and multivariate Cox regression analyses were performed to identify the independent effect of each variable for predicting the prognosis of LUAD. Kaplan–Meier curve analysis of DNA methylation and gene expression might provide potential prognostic biomarkers for LUAD patients. Results A total of 99 methylation-driven mRNAs and 17 methylation-driven lncRNAs were obtained. Univariate and multivariate Cox regression analysis showed that 6 lncRNAs (FOXE1, HOXB13-AS1_2, VMO1, HIST1H3F, AJ003147.8, ASXL3) were retrieved to construct a predictive model associated with overall survival in LUAD patients. Combined DNA methylation and gene expression survival analysis revealed that 4 lncRNAs (AC023824.1, AF186192.1, LINC01354 and WASIR2) and 8 mRNAs (S1PR1, CCDC181, F2RL1, EFS, KLHDC9, MPV17L, GKN2, ITPRIPL1) might act as independent biomarkers for the prognosis of LUAD. Conclusions Methylation-driven lncRNA and mRNA contribute to the survival of LUAD, and 4 lncRNAs and 8 mRNAs might be potential biomarkers for the prognosis of LUAD.
topic Lung adenocarcinoma
Methylation-driven lncRNA
Methylation-driven mRNA
Biomarkers
Overall survival rate
url http://link.springer.com/article/10.1186/s12967-019-2068-z
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