We used the STRING bioinformatic tool to find biological processes associated with the gene products that we analyzed for their prognostic impact on breast cancer, namely IKKα (CHUK), IKBKB, p50/NFKB1, p65/RELA, NIK (MAP4K4), p52 (NFKB2), RELB, IL-8 (CXCL8), IL6, and MMP-1. Here, MAP4K4 is linked to breast cancer.