Objective:To study the relationship between differential expression of immune-related genes in breast cancer and tumor prognosis, and to find potential immunotherapy targets.Methods:Breast cancer transcriptome and the clinical data corresponding to the patient were downloaded from the TCGA database, bioinformatics methods were used to screen out the differentially expressed genes in cancer tissues, ImmPort database was combined to screen out the immunity closely related to the overall survival of the patient Gene, and COX regression was used to construct a risk scoring model for prognostic evaluation and evaluates its predictive ability.Results:A total of 2499 differentially expressed genes were found in breast cancer and adjacent tissues, and 138 differentially expressed immune-related genes were further screened. Single-factor COX analysis showed that 9 immune genes were related to prognosis, and multi-factor COX analysis screened 6 immune-related genes as independent risk factors for prognosis to construct a risk scoring model. COX regression analysis of clinical characteristics showed that the patient's risk value was an independent prognostic factor ( P<0.05) . Conclusions:There are multiple differentially expressed immune genes in breast cancer. These genes are closely related to the prognosis of patients. The risk scoring model constructed based on these immune genes can effectively predict the prognosis of patients and provide new potential therapeutic targets for breast cancer immunotherapy.