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Analysis of potential diagnostic genes for eosinophilic chronic rhinosinusitis with nasal polyps based on GEO datasets / 中国耳鼻咽喉头颈外科
Article de Zh | WPRIM | ID: wpr-1017598
Bibliothèque responsable: WPRO
ABSTRACT
OBJECTIVE To utilize RNA sequencing(RNA-seq)data from the GEO database to identify genes with potential diagnostic value for eosinophilic chronic rhinosinusitis with nasal polyps(ECRSwNP).METHODS Three datasets were obtained,and samples were divided into ECRSwNP and nonECRSwNP groups based on the expression levels of CST1 and CLC.A diagnostic model for ECRSwNP was established using R software and algorithms,and its accuracy was assessed.RESULTS The samples were grouped as follows:GSE136825(ECRSwNP 7,nonECRSwNP 19),GSE72713(ECRSwNP 3,nonECRSwNP 3),and GSE179265(ECRSwNP 11,nonECRSwNP 2).The diagnostic performance of the upregulated gene model(ADH1C,CCL26,HRH1,NOS2)and the downregulated gene model(LCN2,MUC5B,PLAT,TMEM45A,XDH)constructed based on the support vector machine(SVM)algorithm for ECRSwNP was excellent.CONCLUSION The diagnostic genes identified by the SVM model may serve as biological markers for the non-invasive diagnosis of ECRSwNP and potentially play a crucial role in the pathogenesis of ECRSwNP.
Mots clés
Texte intégral: 1 Indice: WPRIM langue: Zh Texte intégral: Chinese Archives of Otolaryngology-Head and Neck Surgery Année: 2023 Type: Article
Texte intégral: 1 Indice: WPRIM langue: Zh Texte intégral: Chinese Archives of Otolaryngology-Head and Neck Surgery Année: 2023 Type: Article