Signature Based on Six Autophagy-related Genes to Predict Prognosis of Head and Neck Squamous Cell Carcinoma
作者机构：Clinical Laboratory DiagnosticsTianjin Medical University General Hospital Airport SiteTianjin 300308China Department of Health StatisticsPublic Health School of Tianjin Medical UniversityTianjin 300070China School and Hospital of StomatologyTianjin Medical UniversityTianjin 300070China Department of Physiology and PathophysiologyTianjin Medical UniversityTianjin 300070China
出 版 物：《Current Medical Science》 (当代医学科学（英文）)
年 卷 期：2022年第42卷第3期
页 面：597-605页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：head and neck squamous cell carcinoma autophagy risk score Cox regression nomogram immune cell infiltration ratio
摘 要：Objective The present study aimed to develop an autophagy-related gene prognostic prediction model to provide survival risk prediction for head and neck squamous cell carcinoma(HNSCC)*** The K-mean cluster analysis was performed on HNSCC samples based on the expression values of 210 autophagy-related genes for candidate signature gene *** Cox regression analysis was generated using the potential genes and the risk score was calculated from the prognosis *** risk score was processed as an independent prognostic indicator to construct the nomogram *** immune status including immune cell infiltration ratio and checkpoints of patients with HNSCC in high-and low-risk groups was also *** LASSO Cox regression analysis was performed on the selected autophagy-related *** to the lambda value corresponding to the number of different genes in the LASSO Cox analysis,six genes(GABARAPL2,SAR1A,ST13,GAPDH,FADD and LAMP1)were finally *** risk score based on the genes was generated,which was an independent prognostic marker for *** prognostic prediction model(nomogram)was further optimized by the independent prognostic factors(risk score),which can better predict the prognosis and survival of *** the risk score and prognosis model,eight types of immune cells and six key immune checkpoints(CTLA4,PD1,IDO1,TDO2,LAG3,TIGIT)displayed expression *** This study identified several potential prognostic biomarkers and established an autophagy-related prognostic prediction model for HNSCC,which provides a valuable reference for future clinical research.
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