To maximize the probability of finding protein signature(s) associated with BC subtypes, ER/PgR/Her2 status and scoring of TILs we used a consensus bioinformatics approach including DAA, LASSO, and RF that led to the identification a minimal panel of 24 proteins, 10 of which namely, AGR3, BCAM, CELSR1, MIEN1, NAT1, PIP4K2B, SEC23B, THTPA, TMEM51, and ULBP2 were analyzed by IHC on matched tumor tissue samples, confirming their potential to stratify the BC tumor subtype‐specific TIFs. Here, PIP4K2B is linked to neoplasm.