Breast cancer prognostic signature associated with DNA damage response-related genes

Abstract

Abstract Background DNA damage response plays a key role in maintaining genomic integrity,which leads to breast cancer (BRCA). But the combined activities of numerous DNA damage response-related genes (DDR genes) are unknown.The purpose of this study was to ascertain the link between breast cancer prognosis and DDR genes. Results The data files were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). A prognostic risk score model including DDR genes was created utilizing LASSO and univariate Cox regression analysis.On the basis of DDR risk model,high-risk samples were found to meet a worse prognosis in the TCGA cohort as well as in the GEO cohort .According to the "pRRophetic" R package, low-risk samples were more sensitive to Doxorubicin and Bleomycin,while high-risk samples were more sensitive to Rapamycin. Given the correlations between prognostic risk scoring models, tumor microenvironment (TME) characteristics, and Tumor Immune Dysfunction and Exclusion (TIDE) outcomes, the high-risk group of the DDR risk model more sensitivity to immunotherapy,which leads to an instructional treatment for BRCA patients. Conclusions In this study,we found that DDR genes can be utilized as crucial factors to estimate prognosis in BRCA patients.