To assess whether some subsets of primary prostate tumors may have differing potential benefits from VEGF signaling inhibitors, we used partial least squares discriminant analysis (PLS-DA), a multivariate algorithm that allowed us to simultaneously consider both the pattern of VEGF/Sema gene expression and effects on an output variable. This evidence concerns the gene SEMA6A and prostate neoplasm.