Objective To construct a macrophage-related risk assessment model,explore the impact of macrophages on the survival of patients with lung squamous cell carcinoma(LUSC),and predict immune status.Methods We downloaded the data of macrophages and LUSC from the Molecular Signatures DataBase(MSigDB)and The Cancer Genome Atlas(TCGA)database,respectively,screened for differentially expressed macrophage-related genes,and constructed a risk score model using Cox regression analysis.Based on the median value of the risk score,LUSC in the TCGA database was divided into high-and low-risk groups.Kaplan-Meier analyses,receiver operating characteristic curve analyses,clinical case characteristics,and immune analyses were used to evaluate the prognostic model.Finally,we determined the relationship between anticancer drug sensitivity and the risk score using the Genomics of Drug Sensitivity in Cancer(GDSC).Results A total of 124 macrophage-related genes were identified in LUSC.High-risk patients had shorter overall survival and higher infiltration of immunosuppressive cells.Ruxolitinib,vinorelbine,paclitaxel,and sorafenib seemingly exhibited better efficacy in low-risk patients.The mortality rate of LUSC patients decreasd with the reduction of risk scores,and CSF2 and EDN2 had a significant impact on overall survival.Conclusion In this study,we constructed a macrophage gene risk score model for predicting the prognosis of LUSC.The model genes CSF2 and END2 can be used as potential targets for subsequent studies of LUSC.

Objective To construct a macrophage-related risk assessment model,explore the impact of macrophages on the survival of patients with lung squamous cell carcinoma(LUSC),and predict immune status.Methods We downloaded the data of macrophages and LUSC from the Molecular Signatures DataBase(MSigDB)and The Cancer Genome Atlas(TCGA)database,respectively,screened for differentially expressed macrophage-related genes,and constructed a risk score model using Cox regression analysis.Based on the median value of the risk score,LUSC in the TCGA database was divided into high-and low-risk groups.Kaplan-Meier analyses,receiver operating characteristic curve analyses,clinical case characteristics,and immune analyses were used to evaluate the prognostic model.Finally,we determined the relationship between anticancer drug sensitivity and the risk score using the Genomics of Drug Sensitivity in Cancer(GDSC).Results A total of 124 macrophage-related genes were identified in LUSC.High-risk patients had shorter overall survival and higher infiltration of immunosuppressive cells.Ruxolitinib,vinorelbine,paclitaxel,and sorafenib seemingly exhibited better efficacy in low-risk patients.The mortality rate of LUSC patients decreasd with the reduction of risk scores,and CSF2 and EDN2 had a significant impact on overall survival.Conclusion In this study,we constructed a macrophage gene risk score model for predicting the prognosis of LUSC.The model genes CSF2 and END2 can be used as potential targets for subsequent studies of LUSC.