By univariate Cox regression analysis, we selected 15 genes significantly associated with breast cancer patients prognoses (P< 0.05) from 155 centrosome-related DEGs, including STAT5A, REC8, RAD51, PSME2, PLK1, MAPK10, HAP1, EIF4EBP1, DONSON, DCX, CDH13, CCNE1, CCNE2 and CCND2. The Cox-LASSO regression algorithm was then performed to identify genes with the most robust prognostic value. The gene discussed is EIF4EBP1; the disease is breast cancer.