ArticlePloS one2020
DNA methylation biomarkers for nasopharyngeal carcinoma.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 61 citations in OpenAlex.
- Exposure to electronic cigarette aerosols triggers alterations in genomic DNA methylation that impacts cancer pathways in mice.Inhalation toxicology · 2026Article
- TMEM130 promoter hypermethylation predicts tumor cell migration in cervical cancer.Journal of molecular histology · 2026Article
- Periostin: A matricellular protein with a multifaceted role in tumorigenesis (Review).International journal of molecular medicine · 2025Review
- Identification of key biomarkers and potential therapeutic drugs in nasopharyngeal carcinoma based on comprehensive bioinformatics analysis.Discover oncology · 2025Article
- Methylation of Tumor Suppressor Genes on Chromosome 9: Diagnostic Insights from a Nasopharyngeal Carcinoma in Vietnam.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Multi-omic analyses reveal aberrant DNA methylation patterns and the associated biomarkers of nasopharyngeal carcinoma and its cancer stem cells.Scientific reports · 2025Article
- Advances in Nasopharyngeal Carcinoma Staging: from the 7th to the 9th Edition of the TNM System and Future Outlook.Current oncology reports · 2025Review
- First Indonesian Nasopharyngeal Cancer Whole Epigenome Sequencing Identify Tumour Suppressor CpG Methylation.Biologics : targets & therapy · 2025Article
- An MSRE-Assisted Glycerol-Enhanced RPA-CRISPR/Cas12a Method for Methylation Detection.Biosensors · 2024Article
- MiR-483-3p promotes dental pulp stem cells osteogenic differentiation via the MAPK signaling pathway by targeting ARRB2.In vitro cellular & developmental biology. Animal · 2024Article
- Peripheral hemoglobin to albumin ratio predicts prognosis in patients with nasopharyngeal carcinoma underwent concurrent chemoradiotherapy.BMC cancer · 2024Article
- Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma.Cancer medicine · 2024Article
- Cyclin B2 impairs the p53 signaling in nasopharyngeal carcinoma.BMC cancer · 2024Article
- The Role of the Transcriptional Coactivator BOB.1/OBF.1 in Adaptive Immunity.Advances in experimental medicine and biology · 2024Review
- Antitumor Effect of Poplar Propolis on Human Cutaneous Squamous Cell Carcinoma A431 Cells.International journal of molecular sciences · 2023Article
- Modulating epigenetic modifications for cancer therapy (Review).Oncology reports · 2023Review
- Screening of core genes and prediction of ceRNA regulation mechanism of circRNAs in nasopharyngeal carcinoma by bioinformatics analysis.Pathology oncology research : POR · 2023Article
- Integrated bioinformatic analyses investigate macrophage-M1-related biomarkers and tuberculosis therapeutic drugs.Frontiers in genetics · 2023Article
- Screening Key Genes and Biological Pathways in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis.International journal of molecular sciences · 2022Article
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Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAberrant methylation of DNA plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC). In the current study, we aimed to integrate three cohorts profile datasets to identify abnormally methylated-differentially expressed genes and pathways associated with NPC.
methodsData of gene expression microarrays (GSE53819, GSE412452) and gene methylation microarrays (GSE52068) obtained from the GEO database. Aberrantly methylated differentially expressed genes (DEGs) were obtained by GEO2R. The David database was utilized to perform enrichment and functional analysis regarding selected genes. To create a protein-protein interaction (PPI), STRING and Cytoscape software were utilized. The MCODE was used for module analysis of the PPI network.
resultsIn total, 181 hypomethylation-high expression genes were identified, which were enriched in the biological mechanisms involved in the differentiation of endodermal cell, mitotic nuclear division, mitotic cell cycle process, chromosome segregation and cell cycle phase transition, etc. Pathway enrichment showed ECM-receptor interaction, PI3K-Akt signaling pathway, Focal adhesion, Protein digestion and absorption and Amoebiasis, etc. The top 3 hub genes of PPI network were FANCI, POSTN, and IFIH1. Additionally, 210 hypermethylation-low expression genes were identified, and our data revealed enrichment in biological processes including axoneme assembly, micro tubular formation, assembly of axonemal dynein complex, cilium movement and cilium organization, etc. Pathway analysis indicated enrichment in B cell receptor signaling pathway, Hematopoietic cell lineage, Leukocyte transendothelial migration, Complement and coagulation cascades and Fc gamma R-mediated phagocytosis, etc. The ZMYND10, PACRG and POU2AF1 were identified as the top three hub genes of PPI network. After validation in TCGA and GEPIA database, most hub genes remained significant. Patients with high expression of POSTN found to have shorter overall survival, while in patients with high expression of ZMYND10 and POU2AF1 longer overall survival was identified.
conclusionsThe data revealed novel aberrantly methylated-differentially expressed genes and pathways in NPC by bioinformatics analysis, potentially providing novel insights for the molecular mechanisms governing NPC progression. Hub genes including FANCI, POSTN, IFIH1, ZMYND10, PACRG and POU2AF1 might serve as novel biomarkers for precision diagnosis and providing medical treatment for patient with NPC.
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