Systems biology approaches also enable to discover potent biomarkers for predicting PCa outcomes as Ummanni et al. (2011) revealed novel protein biomarkers such as eIF4A3, DDAH1, ARG2, Prdx3, and Prdx4 associated with altered proteomic expression in PCa compared to benign prostate. This evidence concerns the gene EIF4A3 and neoplasm.