Our machine learning model using clinicopathologic measures alone (ie, using age,race, ER status, HER2 status, Ki-67 index, and tumor grade) predicted cN statuswith an AUC, sensitivity, specificity, and false-negative rate of 0.55, 35%,77%, and 65% and predicted pN status with values of 0.63, 75%, 52%, and 25%,respectively. Here, ESR1 is linked to neoplasm.