CTNNB1 and breast carcinoma: Univariate and multivariate logistic regression analyses were performed by selecting those genes with the best individual p-value (SNAI1, NFKB2, ZEB1, SMAD3, VIM, CD274, CTNNB1, MMP2, SPRY2, SNAI2, and IL-3Rα) as candidate predictors for breast cancer aggressiveness (Figure 8B).