DNA methylation-based diagnostic and prognostic biomarkers of nasopharyngeal carcinoma patients.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32541515", "kind": "science-record", "revision": 5, "content_hash": "sha256:3a1d59041b7cffc05a582345d4ca5e68ea44dc0f413ada3dd2b01629e83fe548", "created_at": "2026-11-01T15:41:03Z", "updated_at": "2026-11-01T22:01:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "DNA methylation-based diagnostic and prognostic biomarkers of nasopharyngeal carcinoma patients.", "doi": "10.1097/MD.0000000000020682", "pmid": "32541515", "authors": ["Zeng-Hong Wu", "Tao Zhou", "Hai-Ying Sun"], "journal": "Medicine", "year": 2020, "abstract": "Nasopharyngeal carcinoma (NPC) is the most common malignant tumor with a remarkable racial and geographical distribution including people in southern China, South East Asia, and the Middle East/North Africa. DNA methylation is an important manifestation of epigenetic modification, has been studied over several decades, and by regulating and controlling the expression of cancer-related genesits, abnormal DNA methylation can influence in a variety of human malignancy tumors.Until now, there is no analysis focus on differentially methylated, differential expressed genes (MDEGs) study, so we make a joint analysis for both gene methylation profiling microarray and gene expression profiling microarray in NPC. Two gene expression datasets (GSE64634 and GSE12452) and gene methylation profiling data set (GSE62336) were downloaded from GEO and analyzed using the online tool GEO2R to identify MDEGs. Gene ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the differentially methylated genes were performed. The STRING database was used to evaluate the interactions of MDEGs and to construct a protein-protein interaction (PPI) network using Cytoscape software. Hub genes were validated with the cBioPortal database.The overlap among the 3 datasets contained 135 hypermethylation genes and 541 hypomethylation genes between NPC and non-NPC samples. A total of 4 genes (TROAP, PCOLCE2, HOXA4, and C1QB) in Hyper-LGs and 14 genes (DYNC1H1, LNX1, RAB37, ALDH3A1, SLC24A4, CP, CEP250, ANK2, DNAI2, MUC13, ACACB, GABRP, STX7, and TTC9) in Hypo-HGs were identified as hub genes.The study of DNA methylation and gene expression provides us a strong support as well as new comprehensive information of MDEGs to the revelation of nasopharyngeal carcinoma's complex pathogenesis. However, further studies are needed to elucidate the biological function of these genes in NPC in the future.", "claims": [{"id": "claim-method", "statement": "The identification of DEGs and DMGs between NPC and noncancerous samples was performed using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) with the criteria of P < .05 and |t| > 2. GEO2R is an online tool designed that allows users to compare different datasets in a GEO series for identify DEGs across experimental conditions. To correct the limitations of false-positives, we used Benjamini and Hochberg False Discovery Rate method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32541515", "locator": "sections[4] \"Identification of differentially expressed genes\" paragraph 2", "quote": "The identification of DEGs and DMGs between NPC and noncancerous samples was performed using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) with the criteria of P < .05 and |t| > 2. GEO2R is an online tool designed that allows users to compare different datasets in a GEO series for identify DEGs across experimental conditions. 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