Diagnostic performance of %[-2]proPSA and prostate health index for prostate cancer: Prospective, multi-institutional study

  • Hongzoo Park
  • , Sang Wook Lee
  • , Geehyun Song
  • , Tae Wook Kang
  • , Jae Hung Jung
  • , Hyun Chul Chung
  • , Sung Jin Kim
  • , Chang Hoo Park
  • , Jong Yeon Park
  • , Tae Young Shin
  • , In Bum Suh
  • , Jeong Hyun Kim

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Background: We evaluated the clinical performance of [-2]proPSA (p2PSA) and its derivatives in predicting the presence and aggressiveness of prostate cancer (PCa) in Korean men. Methods: A total of 246 men with total prostate-specific antigen (tPSA) ≥ 3.5 ng/mL who underwent their first prostate biopsy were included in this prospective, multicenter, observational study. Diagnostic accuracy of tPSA, free-to-total PSA ratio (%fPSA), p2PSA, %p2PSA, and the Beckman Coulter prostate health index (PHI) was assessed by receiver operating characteristic curve analyses and logistic regression analyses. Results: Overall, PCa was detected in 125 (50.8%) subjects. In men with tPSA 3.5-10 ng/mL, the detection rate of PCa was 39.4% (61/155). In this group, PHI and %p2PSA were the most accurate predictors of PCa and significantly outperformed tPSA and %fPSA; area under the curve for tPSA, %fPSA, %p2PSA, and PHI was 0.56, 0.69, 0.74, and 0.76, respectively. PHI was also the strongest predictor of PCa with Gleason score ≥ 7. Conclusion: This study demonstrates the superior clinical performance of %p2PSA and PHI in predicting the presence and aggressiveness of PCa in Korean men. The %p2PSA and PHI appear to improve detection of PCa and provide prognostic information.

Original languageEnglish
Article numbere94
JournalJournal of Korean Medical Science
Volume33
Issue number11
DOIs
StatePublished - 12 Mar 2018

Bibliographical note

Publisher Copyright:
© 2018 The Korean Academy of Medical Sciences.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarkers
  • Biopsy
  • Early diagnosis
  • Prostate-specific antigen
  • Prostatic cancer

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