Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2023, Vol. 37 ›› Issue (5): 54-62.doi: 10.6040/j.issn.1673-3770.0.2021.471

• Original Article • Previous Articles     Next Articles

Construction of an immune-associated gene prognostic model and screening of targeted molecular drugs for laryngeal squamous cell carcinoma based on the TCGA database

ZHANG Yonghong, ZHANG Hui, WANG Caihua, YANG Xinxin, WU Yungang, ZHAO Yufeng, PANG Taizhong, LI Xiaoyu   

  1. Department of Otorhinolaryngology & Head and Neck Surgery, Affiliated Hospital of Jining Medical University, Jining 272000, Shandong, China
  • Published:2023-10-13

Abstract: Objective To construct a prognostic model of laryngeal squamous cell carcinoma(LSCC)and screen for targeted molecular drugs for LSCC based on a comprehensive bioinformatics analysis. Methods The gene expression matrix and patient clinical information for 123 LSCC and normal control samples were downloaded from the TCGA database and a comprehensive bioinformatics analysis was performed. The analyses included weighted gene co-expression network analysis(WGCNA); identification of prognostic immune genes(PI-genes); construction of an LSCC prognostic model; differential gene, survival, risk, and independent prognostic analyses; ROC curve drawing, and screening for potential LSCC target drugs. Results A weighted gene co-expression network of 1 352 immune-associated mRNAs(I-mRNAs)and clinical traits was constructed, and two modules(brown and red)that were the most correlated with the survival status of patients with LSCC were identified. Then, 26 PI-genes were identified and a prognostic model for LSCC was constructed based on 8 candidate PI-genes(CPI-genes)(KC877982.1, AC017100.1, AATBC, LINC02031, ULBP1, SEMA6C, NRTN, and CALCB). Subsequent analyses indicated that our prognostic model could predict the survival and risk prognosis of patients in the high- and low-risk groups and verified the independent predictive ability and accuracy of the prognostic model. Finally, five potential targets of LSCC(rilmenidine, hycanthone, anisomycin, megestrol, and AR-A014418)were identified. Conclusion Eight CPI-genes based on the prognostic model of LSCC were constructed, and five potential targeted molecular drugs were screened. This is expected to provide a new direction for prognosis prediction and precise treatment of LSCC.

Key words: Laryngeal squamous cell carcinoma, Immune-associated genes, Prognostic model, Targeted drugs, Bioinformatics analysis

CLC Number: 

  • R739.65
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