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Clinical Research

Use of the Prostate Health Index for detection of prostate cancer: results from a large academic practice

Abstract

Background:

The Prostate Health Index (phi) outperforms PSA and other PSA derivatives for the diagnosis of prostate cancer (PCa). The impact of phi testing in the real-world clinical setting has not been previously assessed.

Methods:

In a single, large, academic center, phi was tested in 345 patients presenting for diagnostic evaluation for PCa. Findings on prostate biopsy (including Grade Group (GG), defined as GG1: Gleason score (GS) 6, GG2: GS 3+4=7, GG3: GS 4+3=7, GG4: GS 8 and GG5: GS 9–10), magnetic resonance imaging (MRI) and radical prostatectomy (RP) were prospectively recorded. Biopsy rates and outcomes were compared with a contemporary cohort that did not undergo phi testing (n=1318).

Results:

Overall, 39% of men with phi testing underwent prostate biopsy. No men with phi<19.6 were diagnosed with PCa, and only three men with phi<27 had cancer of GG2. Phi was superior to PSA for the prediction of any PCa (area under the receiver operating characteristic curve (AUC) 0.72 vs 0.47) and GG2 PCa (AUC 0.77 vs 0.53) on prostate biopsy. Among men undergoing MRI and phi, no men with phi<27 and PI-RADS3 had GG2 cancer. For those men proceeding to RP, increasing phi was associated with higher pathologic GG (P=0.002) and stage (P=0.001). Compared with patients who did not undergo phi testing, the use of phi was associated with a 9% reduction in the rate of prostate biopsy (39% vs 48%; P<0.001). Importantly, the reduction in biopsy among the phi population was secondary to decreased incidence of negative (8%) and GG1 (1%) biopsies, whereas the proportion of biopsies detecting GG2 cancers remained unchanged.

Conclusions:

In this large, real-time clinical experience, phi outperformed PSA alone, was associated with high-grade PCa, and provided complementary information to MRI. Incorporation of phi into clinical practice reduced the rate of unnecessary biopsies without changing the frequency of detection of higher-grade cancers.

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References

  1. American Cancer Society. Cancer facts & Figures. 2014. (http://www.cancer.org/acs/groups/content/@research/documents/webcontent/acspc-042151.pdf).

  2. Cooperberg MR, Moul JW, Carroll PR . The changing face of prostate cancer. J Clin Oncol 2005; 23: 8146–8151.

    Article  Google Scholar 

  3. Schröder FH, Hugosson J, Roobol MJ, Tammela TLJ, Zappa M, Nelen V et al. Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up. Lancet 2014; 6736: 1–9.

    Google Scholar 

  4. Loeb S, Bjurlin MA, Nicholson J, Tammela TL, Penson DF, Carter HB et al. Overdiagnosis and overtreatment of prostate cancer. Eur Urol 2014; 65: 1046–1055.

    Article  Google Scholar 

  5. Tosoian J, Loeb S . PSA and beyond: the past, present, and future of investigative biomarkers for prostate cancer. ScientificWorldJournal 2010; 10: 1919–1931.

    Article  CAS  Google Scholar 

  6. 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: 876–892.

    Article  Google Scholar 

  7. Jansen FH, van Schaik RHN, Kurstjens J, Horninger W, Klocker H, Bektic J et al. Prostate-specific antigen (PSA) isoform p2PSA in combination with total psa and free psa improves diagnostic accuracy in prostate cancer detection. Eur Urol 2010; 57: 921–927.

    Article  CAS  Google Scholar 

  8. Le BV, Griffin CR, Loeb S, Carvalhal GF, Kan D, Baumann NA et al. [-2]Proenzyme prostate specific antigen is more accurate than total and free prostate specific antigen in differentiating prostate cancer from benign disease in a Prospective Prostate Cancer Screening Study. J Urol 2010; 183: 1355–1359.

    Article  CAS  Google Scholar 

  9. Stephan C, Vincendeau S, Houlgatte A, Cammann H, Jung K, Semjonow A . Multicenter evaluation of [-2]proprostate-specific antigen and the Prostate Health Index for detecting prostate cancer. Clin Chem 2013; 59: 306–314.

    Article  CAS  Google Scholar 

  10. Foley RW, Gorman L, Sharifi N, Murphy K, Moore H, Tuzova A V et al. Improving multivariable prostate cancer risk assessment using the Prostate Health Index. BJU Int 2016; 117: 409–417.

    Article  Google Scholar 

  11. 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: 729–739.

    CAS  PubMed  Google Scholar 

  12. Bruzzese D, Mazzarella C, Ferro M, Perdonà S, Chiodini P, Perruolo G et al. Prostate Health Index vs percent free prostate-specific antigen for prostate cancer detection in men with ‘gray’ prostate-specific antigen levels at first biopsy: systematic review and meta-analysis. Transl Res 2014; 164: 444–451.

    Article  Google Scholar 

  13. de la Calle C, Patil D, Wei JT, Scherr DS, Sokoll L, Chan DW et al. Multicenter evaluation of the Prostate Health Index to detect aggressive prostate cancer in biopsy naïve men. J Urol 2015; 194: 65–72.

    Article  Google Scholar 

  14. Lazzeri M, Haese A, de la Taille A, Palou Redorta J, McNicholas T, Lughezzani G et al. Serum isoform [−2]proPSA derivatives significantly improve prediction of prostate cancer at initial biopsy in a total PSA range of 2–10 ng/ml: a Multicentric European Study. Eur Urol 2013; 63: 986–994.

    Article  CAS  Google Scholar 

  15. Loeb S, Sanda MG, Broyles DL, Shin SS, Bangma CH, Wei JT et al. The Prostate Health Index selectively identifies clinically significant prostate cancer. J Urol 2015; 193: 1163–1169.

    Article  Google Scholar 

  16. Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA . 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: 244–252.

    PubMed  Google Scholar 

  17. Epstein JI, Zelefsky MJ, Sjoberg DD, Nelson JB, Egevad L, Magi-Galluzzi C et al. A Contemporary Prostate Cancer Grading System: a validated alternative to the Gleason Score. Eur Urol 2015; 69: 428–435.

    Article  Google Scholar 

  18. 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: 1650–1655.

    Article  CAS  Google Scholar 

  19. Cantiello F, Russo GI, Ferro M, Cicione A, Cimino S, Favilla V et al. Prognostic accuracy of Prostate Health Index and urinary prostate cancer antigen 3 in predicting pathologic features after radical prostatectomy. Urol Oncol 2015; 33: 163.e15–23.

    Article  CAS  Google Scholar 

  20. Guazzoni G, Nava L, Lazzeri M, Scattoni V, Lughezzani G, Maccagnano C et al. Prostate-specific antigen (PSA) isoform p2PSA significantly improves the prediction of prostate cancer at initial extended prostate biopsies in patients with total PSA between 2.0 and 10 ng/ml: results of a prospective study in a clinical setting. Eur Urol 2011; 60: 214–222.

    Article  CAS  Google Scholar 

  21. Porpiglia F, Russo F, Manfredi M, Mele F, Fiori C, Bollito E et al. The roles of multiparametric magnetic resonance imaging, PCA3 and Prostate Health Index-which is the best predictor of prostate cancer after a negative biopsy? J Urol 2014; 192: 60–66.

    Article  Google Scholar 

  22. Tosoian JJ, Ross AE, Sokoll LJ, Partin AW, Pavlovich CP . Urinary biomarkers for prostate cancer. Urol Clin North Am 2016; 43: 17–38.

    Article  Google Scholar 

  23. Nichol MB, Wu J, Huang J, Denham D, Frencher SK, Jacobsen SJ . Cost-effectiveness of Prostate Health Index for prostate cancer detection. BJU Int 2012; 110: 353–362.

    Article  Google Scholar 

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Acknowledgements

AER is supported by a DOD PRTA award (W81XWH-13-1-0445) as well as a PCF Young Investigator Award and Patrick C. Walsh Investigator Grant. EMS is supported by NIH U01CA196390-01.

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Correspondence to J J Tosoian.

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Tosoian, J., Druskin, S., Andreas, D. et al. Use of the Prostate Health Index for detection of prostate cancer: results from a large academic practice. Prostate Cancer Prostatic Dis 20, 228–233 (2017). https://doi.org/10.1038/pcan.2016.72

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