Objective: The incidence of breast cancer among female patients is increasing year by year and has many adverse effects on women’s lives and psychological health.Although research on the pathogenesis and treatment of breast cancer has received increasing attention,the treatment of breast cancer is still somewhat limited.The study of tumor microenvironment has frequently become a hot topic in recent years.Therefore,this study mainly analyzes the relationship between breast cancer development and tumor microenvironment using bioinformatics technology based on public database,and further investigates the dynamic regulation of immune and stromal components in breast cancer tumor microenvironment,and screened related genes to analyze their expression and clinical significance in breast cancer to provide new ideas for predicting the prognosis and related treatment of breast cancer.Method:In this study,we downloaded breast cancer-related transcriptome and clinical data from The Cancer Genome Atlas(TCGA),calculating the tumor immuneinfiltrating cells(TICs)proportion and the immune and stromal component contents in1222 breast cancers using CIBERSORT and ESTIMATE calculation methods.Differentially expressed genes(DEGs)screening,DEGs enrichment analysis,proteinprotein interaction(PPI)networks,Cox regression analysis,and clustering analysis were examined.Combining univariate Cox and PPI analysis identified TME-related prognostic genes for BC,such as CD2,CD40 LG,CD5,CD27,CD48,KLRB1,CD1 E,IL12B,SH2D1 A,TRAT1,CLEC10 A,CRTAM,CST7,SLAMF6 and CLEC9 A.Also,a correlation analysis was performed between clinicopathological features,survival analysis,and HPA analysis of key genes in BC patients.Furthermore,we used GSEA and cell categorization analysis in determining the key gene expression function and the TICs fraction,respectively.Result: The development of breast cancer is closely linked to the tumor microenvironment,in which immune cell infiltration has an important impact on the prognosis of breast cancer patients.It was found that in breast cancer,the overall survival of patients with high expression of KLRB1 and CD1 E was higher than those with low expression,and was statistically related to clinicopathological characteristics such as gender,age,tumor diameter and tumor infiltration.In addition,KLRB1 and CD1 E are correlated to various immune cells such as B cells,T cells,macrophages,dendritic cells,and neutrophils in breast cancer,which suggests that KLRB1 and CD1 E may be related to the tumor microenvironment in breast cancer and may have a potential impact on the prognosis of breast cancer.Conclusion:According to research,the prognosis of breast cancerstrongly linked to immunological modulation in the tumor microenvironment.KLRB1 and CD1 E may be potential prognostic markers besides being therapeutic targets in breast cancer,and their biological behaviors may help to understand the molecular mechanism and targeted therapy of breast cancer development,which could lead to new ideas for breast cancer immunotherapy. |