Furthermore, we developed a nomogram by combining tumor and FGT signatures and histopathological PR expression status to predict SLN status and achieved a higher AUC of 0.839, with a high NPV of 0.853, suggesting benefits for identification of patients with positive SLN, which was consistent with a previous study that combined radiomic features and clinical factors, which were predictive for positive and negative SLN (16) and may help breast cancer patients to avoid unnecessary SLNB and the corresponding complications. This evidence concerns the gene PGR and neoplasm.