Predictive factors used in the Stockholm-3 Model include clinical information (age, first degree—family history of prostate cancer and previous biopsy), blood biomarkers (total PSA, free PSA, free PSA to PSA ratio, hK2, macrophage inhibitory cytokine-1 (MIC 1) and β-microseminoprotein (MSMB)), genetic markers (a genetic score based on 254 single nucleotide polymorphism and a specific score for the HOXB13 SNP) and information from prostate examination (digital rectal examination and prostate volume measured using MRI examination) [91]. This evidence concerns the gene KLK3 and prostate carcinoma.