So, in this study, we screened the transcriptome sequencing dataset of appropriate BRCA mutant and wild-type BC patients from the TCGA database, and thereby identified differentially expressed genes (DEGs) through analysis of these two sets of data to reflect gene expression profiles influenced by BRCA1/2 mutations, combined with Gene set enrichment analysis (GSEA), survival analysis and diagnostic value assessment. This evidence concerns the gene BRCA1 and breast cancer.