Based on the in silico results of the 144 mRNAs summarized here, whose differential expression has already been validated in patients, we propose a protein-coding gene expression profile composed of MYC, PTEN, TNF, STAT3, BCL2, FN1, TGFB1, CCND1, EGF, IL1B, CD44, KRAS, KLK3, PTEN, AR, ERG, AMACR, IL2, PGR, HSPB1, FOLH1, BIRC5, PSCA, SLC22A3, and ABCC10, to be used in the clinical diagnosis of prostate cancer. The gene discussed is ABCC10; the disease is Familial prostate cancer.