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, MYD88 is linked to breast carcinoma.