Our computational study suggested that a few cancer-related SASH1-Sam1 variants, with mutations inside the ML interface (i.e., L667P and Y659C), could more likely disturb the Sam1 domain fold and consequently avoid interaction between EphA2-Sam and SASH1-Sam1 through a kind of indirect mechanism. Here, EPHA2 is linked to cancer.