ArticleJournal of translational medicine2019
Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
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- AL365181.3 as a novel prognostic biomarker for lung adenocarcinoma.Scientific reports · 2025Article
- Unveiling prognostic value of JAK/STAT signaling pathway related genes in colorectal cancer: a study of Mendelian randomization analysis.Infectious agents and cancer · 2025Article
- The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics.Frontiers in genetics · 2025Article
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- Machine-learning and scRNA-Seq-based diagnostic and prognostic models illustrating survival and therapy response of lung adenocarcinoma.Genes and immunity · 2024Article
- Analysis of methylation-driven genes for predicting the prognosis of patients with oral squamous cell carcinoma.Translational cancer research · 2024Article
- Systematic analysis of DNA methylation-mediated TF dysregulation on lncRNAs reveals critical roles in tumor immunity.Molecular therapy. Nucleic acids · 2023Article
- Clinical applications of DNA methylation profiling in lung cancer.Translational lung cancer research · 2023Article
- An innovative model based on N7-methylguanosine-related lncRNAs for forecasting prognosis and tumor immune landscape in bladder cancer.Cancer cell international · 2023Article
- Integrative learning in developing an immunologic lncRNA signature as a consensus risk-stratification tool for lung adenocarcinoma.Journal of thoracic disease · 2023Article
- Chicken Hypothalamic and Ovarian DNA Methylome Alteration in Response to Forced Molting.Animals : an open access journal from MDPI · 2023Article
- DNA methylation regulator-based signature for predicting clear cell renal cell carcinoma prognosis.American journal of translational research · 2023Article
- IDO1 Promotes the Progression of NSCLC by Regulating the Polarization of M2 Macrophages.International journal of general medicine · 2023Article
- A prognostic model based on the COL1A1-network in gastric cancer.American journal of translational research · 2023Article
- A novel glycosylation-related gene signature predicts survival in patients with lung adenocarcinoma.BMC bioinformatics · 2022Article
- DNA Methylation Analysis Reveals Distinct Patterns in Satellite Cell-Derived Myogenic Progenitor Cells of Subjects with Spastic Cerebral Palsy.Journal of personalized medicine · 2022Article
- LINC02126 is a potential diagnostic, prognostic and immunotherapeutic target for lung adenocarcinoma.BMC pulmonary medicine · 2022Article
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6 authors.
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Abstract
backgroundDNA 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.
methodsDifferentially 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.
resultsA 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.
conclusionsMethylation-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.
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