To further investigate the correlation between this prediction model and the prognosis of patients with PCa, the dataset of 498 patients selected from the TCGA database was classified according to the expression levels of the 16 genes included in the model: PACSIN1, ONECUT1, MND1, E2F7, POC1A, KIF11, TMEM145, CENPM, RDM1, ESM1, CDC6, SPAG5, PRC1, CDCA5, TACC3, and RAD54L. The gene discussed is POC1A; the disease is posterior cortical atrophy.