Construction of a breast cancer prognostic risk prediction model based on characteristic genes related to M1/M2 macrophage infiltration
Objective:To construct a breast cancer prognostic risk prediction model based on the gene infil-tration characteristics of M1/M2 macrophages,identify new prognostic biomarkers for breast cancer,and promote the development of precision treatment strategies for breast cancer.Methods:Utilizing breast cancer RNA-seq data and clinical information from the Cancer Genome Atlas(TCGA)data-base,we combined weighted gene co-expression network analysis(WGCNA),CIBERSORT,xCell,QUANTISEQ,and univariate Cox regression to screen for M1/M2 macrophage characteristic genes associated with breast cancer prognosis.A prognostic risk model was established through LASSO-Cox regression,then the model was evaluated by ROC curves,Kaplan-Meier survival curves,and no-mogram.Additionally,the tumor microenvironment and immune therapy response were analyzed by using the ESTIMATE algorithm and TIDE scores.Results:A total of 91 characteristic genes closely related to breast cancer prognosis were identified.Based on these genes,a prognostic risk model con-taining 39 key genes was constructed,along with a risk score calculation.The model accurately pre-dicted 1-year,3-year,and 5-year survival prognoses,with the risk score being confirmed as an inde-pendent prognostic factor.Patients in the high-risk group had significantly shorter survival than those in the low-risk group(P<0.001).Forest plots validated the clinical value of the risk score.Patients in the low-risk group exhibited higher immune scores and ESTIMATE scores,and lower tumor purity and TIDE scores,suggesting they might benefit more from immunotherapy.Conclusion:This study successfully constructed a breast cancer prognostic risk prediction model based on M1/M2 macrophage infiltration-related characteristic genes.The model not only effectively assesses and accurately predicts the prognosis of breast cancer patients,but also provides a reference for clinical decision-making in im-munotherapy,contributing to the individualized precision treatment of breast cancer.
Breast CancerM1/M2 MacrophagesWGCNAPrognostic Risk Model
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