Then, we developed a risk prognostic model based on expression levels of PIK3CA, SESN3, ANXA5, MYD88, DPP4, DAXX, and CRIP1 to predict clinical outcomes in patients with breast cancer. Here, SESN3 is linked to breast carcinoma.