ArticleMedicine2019
Screening and identification of key biomarkers in nasopharyngeal carcinoma: Evidence from bioinformatic analysis.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
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- Altered carnitine transporter genes (Translational lung cancer research · 2024Article
- The Role of the Transcriptional Coactivator BOB.1/OBF.1 in Adaptive Immunity.Advances in experimental medicine and biology · 2024Review
- Downregulation of RCN1 promotes pyroptosis in acute myeloid leukemia cells.Molecular oncology · 2023Article
- Engrailed homeobox 1 transcriptional regulation of COL22A1 inhibits nasopharyngeal carcinoma cell senescence through the G1/S phase arrest.Journal of cellular and molecular medicine · 2022Article
- Genome-Wide mRNA Expression Analysis of Acute Psychological Stress Responses.MEDICC review · 2022Article
- Gene Expression Profile Reveals a Prognostic Signature of Non-MSI-H/pMMR Colorectal Cancer.Frontiers in cell and developmental biology · 2022Article
- Differentially Infiltrated Identification of Novel Diagnostic Biomarkers Associated with Immune Infiltration in Nasopharyngeal Carcinoma.Disease markers · 2022Article
- The IRF2/CENP-N/AKT signaling axis promotes proliferation, cell cycling and apoptosis resistance in nasopharyngeal carcinoma cells by increasing aerobic glycolysis.Journal of experimental & clinical cancer research : CR · 2021Article
- Article
- RCN1 induces sorafenib resistance and malignancy in hepatocellular carcinoma by activating c-MYC signaling via the IRE1α-XBP1s pathway.Cell death discovery · 2021Article
- Identification of Novel Kinase-Transcription Factor-mRNA-miRNA Regulatory Network in Nasopharyngeal Carcinoma by Bioinformatics Analysis.International journal of general medicine · 2021Article
- Transcriptomic Analyses Reveal Gene Expression Profiles and Networks in Nasopharyngeal Carcinoma.BioMed research international · 2021Article
- Screening and bioinformatical analysis of differentially expressed genes in nasopharyngeal carcinoma.Journal of Cancer · 2021Article
- Identification of 2 Potential Core Genes for Influence of Gut Probiotics on Formation of Intracranial Aneurysms by Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Radiosensitivity-Related Genes and Clinical Characteristics of Nasopharyngeal Carcinoma.BioMed research international · 2020Article
- Carnitine Traffic in Cells. Link With Cancer.Frontiers in cell and developmental biology · 2020Review
- A model of twenty-three metabolic-related genes predicting overall survival for lung adenocarcinoma.PeerJ · 2020Article
- Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis.Cancer cell international · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As for the lack of simple and effective diagnostic methods at the early of the nasopharyngeal carcinoma (NPC), the mortality rate of NPC still remains high. Therefore, it is meaningful to explore the precise molecular mechanisms involved in the proliferation, carcinogenesis, and recurrence of NPC and thus find an effective diagnostic way and make a better therapeutic strategy.Three gene expression data sets (GSE64634, GSE53819, and GSE12452) were downloaded from Gene Expression Omnibus (GEO) and analyzed using the online tool GEO2R to identify differentially expressed genes (DEGs). Gene ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the DEGs were performed in Database for Annotation, Visualization and Integrated Discovery. The Search Tool for the Retrieval of Interacting Genes database was used to evaluate the interactions of DEGs and to construct a protein-protein interaction network using Cytoscape software. Hub genes were validated with the cBioPortal database.The overlap among the 3 data sets contained 306 genes were identified to be differentially expressed between NPC and non-NPC samples. A total of 13 genes (DNAAF1, PARPBP, TTC18, GSTA3, RCN1, MUC5AC, POU2AF1, FAM83B, SLC22A16, SPEF2, ERICH3, CCDC81, and IL33) were identified as hub genes with degrees ≥10.The present study was attempted to identify and functionally analyze the DEGs that may be involved in the carcinogenesis or progression of NPC by using comprehensive bioinformatics analyses and unveiled a series of hub genes and pathways. A total of 306 DEGs and 13 hub genes were identified and may be regarded as diagnostic biomarkers for NPC. However, more experimental studies are needed to carried out elucidate the biologic function of these genes results for NPC.
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