Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Clinical Research
  • Published:

Initial Prostate Health Index (phi) and phi density predicts future risk of clinically significant prostate cancer in men with initial negative prostate biopsy: a 6-year follow-up study

Abstract

Background

Men with elevated prostate-specific antigen (PSA) and initial negative prostate biopsy may have risk of prostate cancer (PCa) in the future. The role of Prostate Health Index (phi) in determining future PCa risk has not been studied before. This study aims to investigate the role of initial phi and phi density in predicting future PCa risk in men with initial negative biopsy.

Methods

Five hundred sixty nine men with PSA 4–10 ng/mL were recruited between 2008 and 2015 for prostate biopsy with prior phi. Electronic clinical record of men with initial negative biopsy was reviewed. Patients and follow-up doctors were blinded to phi. Kaplan–Meier curves were used to analyze the PCa-free survival in different baseline phi and phi density groups.

Results

Four hundred sixty-one men with complete follow-up data were included. Median follow-up is 77 months. PCa and HGPCa was diagnosed in 8.2% (38/461) and 4.8% (22/461) of cohort respectively. A higher baseline phi value was associated with PCa (p = 0.003) and HGPCa (p < 0.001). HGPCa was diagnosed in 0.6% (1/163) of phi < 25, 4.6% (9/195) of phi 25–34.9, and 11.7% (12/103) of phi ≥ 35 (p < 0.001). HGPCa was diagnosed in 0% (0/109) and 21.0% (13/62) with phi density of <0.4 and ≥1.2, respectively, (p < 0.001). Kaplan–Meier curves showed phi and phi density predicted PCa and HGPCa diagnoses (log-rank test, all p ≤ 0.002).

Conclusions

Initial phi or phi density predicted 6-year risk of PCa in men with initial negative prostate biopsy. Men with higher phi (≥35) or phi density (≥1.2) need closer follow-up and repeated investigation, while men with lower phi (<25) or phi density (<0.4) could have less frequent follow-up.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Kaplan Meier survival curves in different phi ranges (<25, 25–34.9, 35–54.9, ≥55).
Fig. 2: Kaplan Meier survival curves in different phi Density ranges (<0.4, 0.4–0.79, 0.8–1.19, ≥1.2).

Similar content being viewed by others

References

  1. Stamey TA, Yang N, Hay AR, McNeal JE, Freiha FS, Redwine E. Prostate-specific antigen as a serum marker for adenocarcinoma of the prostate. N Engl J Med. 1987;317:909–16.

    Article  CAS  Google Scholar 

  2. Hugosson J, Roobol MJ, Månsson M, Tammela TLJ, Zappa M, Nelen V, et al. A 16-yr follow-up of the european randomized study of screening for prostate cancer. Eur Urol. 2019;76:43–51.

    Article  Google Scholar 

  3. Mikolajczyk SD, Millar LS, Wang TJ, Rittenhouse HG, Marks LS, Song W, et al. A precursor form of prostate-specific antigen is more highly elevated in prostate cancer compared with benign transition zone prostate tissue. Cancer Res. 2000;60:756–9.

    CAS  Google Scholar 

  4. Filella X, Giménez N. Evaluation of [− 2] proPSA and prostate health index (phi) for the detection of prostate cancer: a systematic review and meta-analysis. Clin Chem Lab Med. 2013;51:729–39.

    Article  CAS  Google Scholar 

  5. Catalona WJ, Partin AW, Sanda MG, Wei JT, Klee GG, Bangma CH, et al. A multicenter study of [−2]pro-prostate specific antigen combined with prostate specific antigen and free prostate specific antigen for prostate cancer detection in the 2.0 to 10.0 ng/ml prostate specific antigen range. J Urol. 2011;185:1650–5.

    Article  CAS  Google Scholar 

  6. Chiu PK, Ng CF, Semjonow A, Zhu Y, Vincendeau S, Houlgatte A, et al. A multicentre evaluation of the role of the Prostate Health Index (phi) in regions with differing prevalence of prostate cancer: adjustment of phi reference ranges is needed for European and Asian settings. Eur Urol. 2019;75:558–61.

    Article  Google Scholar 

  7. Ploussard G, Nicolaiew N, Marchand C, Terry S, Allory Y, Vacherot F, et al. Risk of repeat biopsy and prostate cancer detection after an initial extended negative biopsy: Longitudinal follow-up from a prospective trial. BJU Int. 2013;111:988–96.

    Article  CAS  Google Scholar 

  8. Loeb S, Vellekoop A, Ahmed HU, Catto J, Emberton M, Nam R, et al. Systematic review of complications of prostate biopsy. Eur Urol. 2013;64:876–92.

    Article  Google Scholar 

  9. Chiu PK, Roobol MJ, Teoh JY, Lee WM, Yip SY, Hou SM, et al. Prostate health index (phi) and prostate-specific antigen (PSA) predictive models for prostate cancer in the Chinese population and the role of digital rectal examination-estimated prostate volume. Int Urol Nephrol. 2016;48:1631–7.

    Article  Google Scholar 

  10. Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humprey RA, et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: definition of grading patterns and proposal for a new grading system. Am J Surg Pathol. 2016;40:244–52.

    Article  Google Scholar 

  11. Semjonow A, Köpke T, Eltze E, Pepping-Schefers B, Burgel H, Darte C. Pre-analytical in-vitro stability of [−2]proPSA in blood and serum. Clin Chem. 2010;43:926–8.

    CAS  Google Scholar 

  12. Pannek J, Marks LS, Pearson JD, Rittenhouse HG, Chan DW, Sherry ED, et al. Influence of finasteride on free and total serum prostate specific antigen levels in men with benign prostatic hyperplasia. J Urol. 1998;159:449–53.

    Article  CAS  Google Scholar 

  13. Mottet N, van den Burg R, Briers E, van den Brock T, Cumberbatch MG, De Santis M, et al. EAU—ESTRO—ESUR—SIOG Guidelines on Prostate Cancer. EAU Guidelines. Edn. presented at the EAU Annual Congress Amsterdam 2020. ISBN 978-94-92671-07-3.

  14. Druskin SC, Tosoian JJ, Young A, Collica S, Srivastava A, Ghabili K, et al. Combining Prostate Health Index density, magnetic resonance imaging and prior negative biopsy status to improve the detection of clinically significant prostate cancer. BJU Int. 2018;121:619–26.

    Article  Google Scholar 

  15. Tosoian JJ, Druskin SC, Andreas D, Mullane P, Chappidi M, Joo S, et al. Prostate Health Index density improves detection of clinically significant prostate cancer. BJU Int. 2017;120:793–8.

    Article  CAS  Google Scholar 

  16. Huang YP, Lin TP, Cheng WM, Wei TC, Huang IS, Fan YH, et al. Prostate health index density predicts aggressive pathological outcomes after radical prostatectomy in Taiwanese patients. J Chin Med Assoc. 2019;82:835–9.

    Article  Google Scholar 

  17. Chen R, Sjoberg DD, Huang Y, Xie LP, Zhou L, He D, et al. Prostate specific antigen and prostate cancer in Chinese men undergoing initial prostate biopsies compared with western cohorts. J Urol. 2017;197:90–6.

    Article  Google Scholar 

  18. Cheung NT, Fung V, Kong JHB. The Hong Kong Hospital Authority’s information architecture. Stud Health Technol Inform. 2004;107:1183–6.

    Google Scholar 

  19. Ahmed HU, El-Shater BA, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet. 2017;389:815–22.

    Article  Google Scholar 

  20. Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, et al. MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med. 2018;378:1767–77.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, MR, CFNg, PKC; Methodology, AQL, SR, PKC; formal analysis, AQL, SR, CHL; investigation, SYL, SYY; resources, CFNg; data curation, SYL, SYY, CWM, AQL; writing—original draft preparation, AQL, PKC; writing—review and editing, SR, JYT, SMH, MR; visualization, SR, CHL; supervision, MR, CFNg.; project administration, PKC; funding acquisition, CFNg.

Corresponding authors

Correspondence to Chi-Fai Ng or Peter Ka-Fung Chiu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, A.Q., Remmers, S., Lau, SY. et al. Initial Prostate Health Index (phi) and phi density predicts future risk of clinically significant prostate cancer in men with initial negative prostate biopsy: a 6-year follow-up study. Prostate Cancer Prostatic Dis 25, 684–689 (2022). https://doi.org/10.1038/s41391-021-00444-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41391-021-00444-y

This article is cited by

Search

Quick links