Another important study came from Lexman et al., who developed a multiplex model that measured the expression of seven putative PCa biomarkers and found that a combination of Golgi Membrane Protein (GOLPH2), Serine Peptidase Inhibitor Kazal type 1 (SPINK1) and PCA3 transcript expression with TMPRSS2-ERG fusion status was a better predictor of PCa than PSA or PCA3 alone (65.9% sensitivity and 76.0% specificity) [54]. This evidence concerns the gene PCA3 and posterior cortical atrophy.