Integrated analysis of diagnostic, prognostic value and potential drug treatment of GSDME in head and neck squamous cell carcinoma

• Published in: European archives of oto-rhino-laryngology 2023-09, Vol.280 (9), p.4239-4253
• Main Authors: Hu, Rulong, Lu, Mingshui, She, Li
• Format: Article
• Language: English
• Subjects: Head and Neck; Head and Neck Surgery; Medicine; Medicine & Public Health; Neurosurgery; Otorhinolaryngology
• ISSN: 0937-4477; 1434-4726
• DOI: 10.1007/s00405-023-08022-9

Background Head and neck squamous cell carcinoma (HNSC) poses a global health challenge. Effective biomarkers for early detection are necessary to improve the survival rate of HNSC patient. The purpose of this study was using integrated bioinformatic analysis to investigate the potential biological roles of GSDME in HNSC. Methods The Gene Expression Omnibus (GEO) and Cancer Gnome Atlas (TCGA) databases were used to analyze the expression of GSDME in different cancer types. The correlation between GSDME expression and immune cell infiltration or immune checkpoint genes was examined by Spearman correlation analysis. DNA methylation analysis of the GSDME gene was conducted using the MethSurv database. Kaplan–Meier (K–M) survival curves, diagnostic receiver operating characteristic (ROC) curves, nomogram model, and Cox regression analysis were chosen to evaluate the diagnostic and prognostic predictive value of GSDME. Connectivity Map (Cmap) online platform, Protein Data Bank (PDB) database and Chem3D, AutoDock Tool and PyMol software were used to predict and visualize potential molecular drugs aimed for GSDME. Results GSDME expression level in HNSC was significantly higher than in the controls ( p