Establishment of clinical prognostic model of immune gene combined with metabolic gene in oral squamous cell carcinoma
Objective To establish regression models of immune and metabolism-related gene risk in oral squamous cell carcinoma(OSCC)to evaluate the prognosis of patients.Methods To establish genes related to immunity and metabolism of oral squamous cell carcinoma(OSCC),OSCC data pertaining to gene expression along with associated clinical details were retrieved from the TCGA and GEO repositories.Following this,immune and metabolic genes exhibiting differential expression were pinpointed,and a predictive prognostic construction integrating both immune and metabolic gene profiles was developed using univariate,Lasso,and multifactor Cox regression methods.Lastly,the accuracy of this prognostic schema was validated.Results Eleven modeling genes(DEFB1,HTN1,CTSG,TYK2,PTX3,CCR7,OSM,OXT,PSPH,CKM,ACADL)were screened out and a risk regression model was constructed.Substantial disparities in total survival were observed when comparing the groups at low and high risk,with highly noteworthy statistical results(P＜0.001).Both single-variable and multiple-variable analyses using the Cox regression method revealed the model's risk score to be an autonomous predictive element(P＜0.001).Furthermore,the capability of the forecasting model was confirmed by ROC curve assessment,indicated by an AUC of 0.746.Conclusion In summation,the creation of an effective regression model that incorporates immune and metabolic genetic risk factors for oral squamous cell carcinoma could aid medical professionals in selecting tailored therapeutic approaches for patients with varying levels of risk associated with OSCC.
Oral squamous cell carcinomaImmune-related geneMetabolism-related genesPrognostic model
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