Development and validation of a novel prognosis prediction model for M2-type macrophage of clear cell renal cell carcinoma
ZHANG Jingdi
SUN Rui
Abstract：Objective To establish a prognostic risk assessment model for coexpressed M2 related genes and to elucidate the role of M2 macrophages within the clear cell renal cell carcinoma(ccRCC)immune microenvironment.Methods Transcriptome data,clinical data and mutation data were obtained from TCGA-KIRC.CIBERSORT was used to calculate the proportion of M2 macrophage cells of each case of the 539 samples.Genes associated with macrophage M2 in TCGA-KIRC were determined by intersection,and a coexpression network was established.Following LASSO regression,a prognostic model was constructed,and factors with significant findings were entered into a Cox regression analysis.Next,we used the external dataset E-MTAB-1980 from the ArrayExpress database for validation.Lastly,risk score was evaluated by stroma immune infiltration,GSEA,TMB and drug sensitivity.Results We obtained the top 46 genes most strongly correlated with macrophage M2 in TCGA-KIRC,which are enriched in immune receptor activity,leukocyte and mononuclear cell migration.A model of twelve genes related to the coexpressed macrophage M2 gene was established,and we demonstrated that it had good prognostic capacity.M2 macrophage infiltration was closely related to tumor metabolism and inversely correlated with risk score in ccRCC.Conclusion We proposed a twelve-gene Cox proportional hazard regression model associated with M2 macrophage of ccRCC that could provide a measurement method to generate prognostic scores in patients with ccRCC.
Keywords：Clear cell renal cell carcinomaM2-type macrophageImmunityPrognostic modelRisk score
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 986-991 )