Objective:To construct a prognostic risk score model for head and neck squamous cell carcinoma(HNSCC)patients based on G protein-coupled receptor(GPCRs)related genes.Methods:The differentially expressed GPCRs related genes of HNSCC were screened from the Cancer Genome Atlas(TCGA)database,and eight predicted genes were selected by Cox and Lasso algorithms.R soft was used to construct a risk score model and verify its predictive efficacy.Results:Compared with the low-risk group,patients in the high-risk group had shorter overall survival(OS),higher mortality,and worse CD8+T cell infiltration in cancer tissues(P<0.001).The AUC of 1-,3-,and5-year OS of the risk score model was0.669,0.723,and0.681,respectively.In terms of OS,disease specific survival(DSS),and progression free interval(PFI),the risk scores of survival patients were lower than those of death patients(P<0.001).Multivariate regression analysis showed that risk score and age were independent risk factors for OS in HNSCC patients(P<0.001).The predicted curve of the nomogram model incorporating the risk score and age was in good agreement with the actual reference line.The decision curve analysis(DCA)showed that the risk score model and the nomogram model helped to improve the clinical net benefit in the prediction period of 1 year,3 years,and 5 years.Conclusion:The HNSCC prognostic model based on the eight GPCRs related genes has good prediction efficiency,which provides a new tool for risk stratification and prognosis prediction of HNSCC clinical treatment.
head and neck squamous cell carcinomaG protein-coupled receptor genesprognostic modelrisk scorethe Cancer Genome Atlas
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维普
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