Age-Specific Cutoff Value for the Application of Percent Free Prostate-Specific Antigen (PSA) in Chinese Men with Serum PSA Levels of 4.0-10.0 Ng/ml
Overview
Authors
Affiliations
Objective: The influence of age on the performance of percent free prostate-specific antigen (%fPSA) in diagnosing prostate cancer (PCa) in East Asians is controversial. We tested the diagnostic performance of %fPSA in a multi-center biopsy cohort in China and identified the proper age-specific cutoff values to avoid unnecessary biopsies.
Methods: Consecutive patients with a prostate-specific antigen (PSA) level of 4.0-10.0 ng/ml or 10.1-20.0 ng/ml who underwent transrectal ultrasound-guided or transperineal prostate biopsy were enrolled from 22 Chinese medical centers from Jan 1, 2010 to Dec 31, 2013. The diagnostic accuracy of PSA and %fPSA was determined using the area under the receiver operating characteristic (ROC) curve (AUC). Age-specific cutoff values were calculated using ROC curve analysis.
Results: The median %fPSA was much lower in younger patients compared with older patients with a PSA level of 4.0-10.0 ng/ml or 10.1-20.0 ng/ml. The AUC of %fPSA was higher than PSA only in older patients. In patients aged 50 to 59 years, %fPSA failed to improve the diagnosis compared with PSA in these two PSA ranges. Age-specific cutoff values were 24%, 27% and 32% for patients aged 60-69, 70-79 and ≥80 years, respectively, to reduce unnecessary biopsies in men with PSA levels of 4.0-10.0 ng/ml to detect 90% of all PCa.
Conclusions: The effectiveness of %fPSA is correlated with age in the Chinese population. Age-specific cutoff values would help avoid unnecessary biopsies in the Chinese population.
A new ASAP Scoring System and Risk Table to predict second prostate biopsy outcomes.
Caner E, Serkan A, Neslihan K, Aysenur I Arch Med Sci. 2025; 20(6):1894-1901.
PMID: 39967942 PMC: 11831326. DOI: 10.5114/aoms/131789.
MicroRNA in prostate cancer: from biogenesis to applicative potential.
Luo X, Wen W BMC Urol. 2024; 24(1):244.
PMID: 39506720 PMC: 11539483. DOI: 10.1186/s12894-024-01634-1.
Yang J, Li J, Xiao L, Zhou M, Fang Z, Cai Y Cancer Imaging. 2023; 23(1):81.
PMID: 37667341 PMC: 10476329. DOI: 10.1186/s40644-023-00562-x.
Zhang L, Zhang J, Tang M, Lei X, Li L Diagnostics (Basel). 2022; 12(12).
PMID: 36553012 PMC: 9776817. DOI: 10.3390/diagnostics12123005.
Milligan K, Deng X, Ali-Adeeb R, Shreeves P, Punch S, Costie N Sci Rep. 2022; 12(1):15104.
PMID: 36068275 PMC: 9448740. DOI: 10.1038/s41598-022-19446-4.