ArticleBioengineered2021
Identification of four key biomarkers and small molecule drugs in nasopharyngeal carcinoma by weighted gene co-expression network analysis.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- The Relationship Between the hOGG1 rs1052133 Polymorphism and the Occurrence of Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.Technology in cancer research & treatmentPooled it
- Identification of key biomarkers and potential therapeutic drugs in nasopharyngeal carcinoma based on comprehensive bioinformatics analysis.Discover oncology · 2025Article
- Virus-host protein co-expression networks reveal temporal organization and strategies of viral infection.iScience · 2023Article
- Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.Computational intelligence and neuroscience · 2022Article
- General Features and Novel Gene Signatures That Identify Epstein-Barr Virus-Associated Epithelial Cancers.Cancers · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nasopharyngeal carcinoma (NPC) is a heterogeneous carcinoma whose underlying molecular mechanisms involved in tumor initiation, progression, and migration are largely unclear. The aim of the present study was to identify key biomarkers and small-molecule drugs for screening, diagnosing, and treating NPC via gene expression profile analysis. Raw microarray data was used to identify 430 differentially expressed genes (DEGs) in the Gene Expression Omnibus (GEO) database. The key modules associated with histological grade and tumor stage were identified using weighted gene co-expression network analysis. qRT-PCR was used to verify the differential expression of hub genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the connectivity map database were used to identify potential mechanisms and screen small-molecule drugs targeting hub genes. Functional enrichment analysis showed that genes in the green module were enriched in the regulation of cell cycle, p53 signaling pathway, and cell part morphogenesis. Four DEG-related hub genes (
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Registered trials
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