Objective To analyze the gene expression of patients with head and neck squamous cell carcinoma(HNSCC)using bioinformatics methods,identifying immune-related genes that impact prognosis and exploring new therapeutic targets for HNSCC.Methods This study was based on The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus database to download RNA sequencing data from HNSCC and non-tumor tissue samples.Differential expression gene analysis and weighted gene co-expression network analysis were performed respectively to screen immune-related genes.Univariate Cox regression,Lasso regression and multifactor Cox regression analyses were used to identify the genes significantly associated with HNSCC prognosis,and on this basis,the risk score of each TCGA sample was calculated and the correlation prognosis model was constructed.The sample was divided into high and low risk groups according to the median risk score.Gene differential expression analysis was performed in high and low risk groups to reveal gene expression changes under different immune states,and pathway enrichment analysis was performed for differential genes.Results Screening identified MS4A1,IL12RB2,DMBT1 and LTF as immune-related genes affecting the prognosis of HNSCC.Among them,MS4A1 and IL12RB2 were highly expressed in HNSCC,and DMBT1 and LTF were lowly expressed.Risk score of HNSCC death group was significantly higher than that of the survival group.Risk score could be used as an independent prognostic indicator for HNSCC.Differential genes in high and low risk groups were significantly enriched in immune response-regulating cell surface receptor signaling pathways.Conclusion MS4A1,IL12RB2,DMBT1 and LTF can be used for risk assessment,disease surveillance and efficacy evaluation of HNSCC.The immune response is crucial in the prognosis of HNSCC patients,and further studies are expected to drive the development of new therapeutic strategies.

Objective To analyze the gene expression of patients with head and neck squamous cell carcinoma(HNSCC)using bioinformatics methods,identifying immune-related genes that impact prognosis and exploring new therapeutic targets for HNSCC.Methods This study was based on The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus database to download RNA sequencing data from HNSCC and non-tumor tissue samples.Differential expression gene analysis and weighted gene co-expression network analysis were performed respectively to screen immune-related genes.Univariate Cox regression,Lasso regression and multifactor Cox regression analyses were used to identify the genes significantly associated with HNSCC prognosis,and on this basis,the risk score of each TCGA sample was calculated and the correlation prognosis model was constructed.The sample was divided into high and low risk groups according to the median risk score.Gene differential expression analysis was performed in high and low risk groups to reveal gene expression changes under different immune states,and pathway enrichment analysis was performed for differential genes.Results Screening identified MS4A1,IL12RB2,DMBT1 and LTF as immune-related genes affecting the prognosis of HNSCC.Among them,MS4A1 and IL12RB2 were highly expressed in HNSCC,and DMBT1 and LTF were lowly expressed.Risk score of HNSCC death group was significantly higher than that of the survival group.Risk score could be used as an independent prognostic indicator for HNSCC.Differential genes in high and low risk groups were significantly enriched in immune response-regulating cell surface receptor signaling pathways.Conclusion MS4A1,IL12RB2,DMBT1 and LTF can be used for risk assessment,disease surveillance and efficacy evaluation of HNSCC.The immune response is crucial in the prognosis of HNSCC patients,and further studies are expected to drive the development of new therapeutic strategies.