As shown in Table 2, Only SFRP1 expression was statistically significant factor (P = 0.009), and could be identified as an independent predictive and prognostic indicator, indicating that SFRP1 expression may serve as the best predictive and prognostic biomarker of survival rate in PCa among these variables. Here, SFRP1 is linked to posterior cortical atrophy.