ArticleCancer cell international2020
Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 34 citations in OpenAlex.
- Promoting mechanisms of papillary thyroid carcinoma by the LncRNA CASC2/miR-193a-3p/RBM24 axis.Die Naturwissenschaften · 2026Article
- Integrated Analysis of the LncRNA-Mediated ceRNA Network Associated With Prognosis in Posttreatment Recurrent Nasopharyngeal Carcinoma.Journal of cellular and molecular medicine · 2025Article
- Identification and validation of anoikis-related differentially expressed genes in nasopharyngeal carcinoma.Translational cancer research · 2025Article
- Review
- Integrated analysis of the lncRNA-miRNA-mRNA ceRNA network in nasopharyngeal carcinoma.Translational cancer research · 2024Article
- Precision medicine in nasopharyngeal carcinoma: comprehensive review of past, present, and future prospect.Journal of translational medicine · 2023Review
- Uncovering the ceRNA network and DNA methylation associated with gene expression in nasopharyngeal carcinoma.BMC medical genomics · 2023Article
- Comprehensive analysis of circRNAs for N7-methylguanosine methylation modification in human oral squamous cell carcinoma.FASEB bioAdvances · 2023Article
- Identification of a five-miRNA signature as a novel potential prognostic biomarker in patients with nasopharyngeal carcinoma.Hereditas · 2022Article
- Identification and Validation of Immune-Related Biomarker Gene and Construction of ceRNA Networks in Septic Cardiomyopathy.Frontiers in cellular and infection microbiology · 2022Article
- Emerging roles of lncRNA in Nasopharyngeal Carcinoma and therapeutic opportunities.International journal of biological sciences · 2022Review
- A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma.Journal of dental sciences · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNasopharyngeal carcinoma (NPC) is an epithelial malignancy with high morbidity rates in the east and southeast Asia. The molecular mechanisms of NPC remain largely unknown. We explored the pathogenesis, potential biomarkers, and prognostic indicators of NPC.
methodsWe analyzed mRNAs, long non-coding RNAs (lncRNAs), and microRNAs (miRNAs) in the whole transcriptome sequencing dataset of our hospital (five normal tissues vs. five NPC tissues) and six microarray datasets (62 normal tissues vs. 334 NPC tissues) downloaded from the Gene Expression Omnibus (GSE12452, GSE13597, GSE95166, GSE126683, and GSE70970, GSE43039). Differential expression analyses, gene ontology (GO) enrichment, kyoto encyclopedia of genes and genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted. The lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) networks were constructed using the miRanda and TargetScan database, and a protein-protein interaction (PPI) network of differentially expressed genes (DEGs) was built using Search Tool for the Retrieval of Interacting Genes (STRING) software. Hub genes were identified using Molecular Complex Detection (MCODE), NetworkAnalyzer, and CytoHubba.
resultsWe identified 61 mRNAs, 14miRNAs, and 10 lncRNAs as shared DEGs related to NPC in seven datasets. Changes in NPC were enriched in the chromosomal region, sister chromatid segregation, and nuclear chromosome segregation. GSEA indicated that the mitogen-activated protein kinase (MAPK) pathway, phosphatidylinositol-3 OH kinase/protein kinase B (PI3K-Akt) pathway, apoptotic pathway, and tumor necrosis factor (TNF) were involved in the initiation and development of NPC. Finally, 20 hub genes were screened out via the PPI network.
conclusionsSeveral DEGs and their biological processes, pathways, and interrelations were found in our current study by bioinformatics analyses. Our findings may offer insights into the biological mechanisms underlying NPC and identify potential therapeutic targets for NPC.
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