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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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 |
work_keys_str_mv |
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