Startseite Clinical utility of %p2PSA and prostate health index in the detection of prostate cancer
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Clinical utility of %p2PSA and prostate health index in the detection of prostate cancer

  • Xavier Filella EMAIL logo , Laura Foj , Josep Maria Augé , Rafael Molina und Joan Alcover
Veröffentlicht/Copyright: 2. April 2014
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Abstract

Background: %p2PSA and prostate health index (phi) has shown valuable results in the detection of prostate cancer (PCa), improving the prediction of the aggressiveness of the tumor. The goal of the present study was to evaluate %p2PSA and phi in the detection of PCa, estimating their relationship with the aggressiveness of PCa.

Methods: A total of 354 patients with positive or negative prostatic biopsy were included. Prospectively, 150 were enrolled and 204 were enrolled retrospectively proceeding from our serum bank.

Results: The best performance was observed for %p2PSA and phi, obtaining an AUC of 0.723 and 0.732, respectively. The highest specificity at sensitivity around 90% was obtained for phi (27.4%). Using the cut-off of 31.94 for phi, a reduction of 19% biopsies could be obtained, while 17 PCa would have been missed, including only four patients with a Gleason score ≥7. Similarly, using a cut-off of 1.21 for %p2PSA, a reduction of 12.7% biopsies could be obtained, while 16 PCa would have been missed, including only four patients with a Gleason score ≥7. Moreover, among patients with PCa, phi (median: 69.75 vs. 48.04) and %p2PSA (median: 2.60 vs. 1.98) values are significantly higher (p<0.0001) in patients with a biopsy Gleason score ≥7.

Conclusions: Our results confirm previous evaluations, showing similar AUCs and results in sensitivity and specificity to other studies.%p2PSA and phi raise the accuracy in the detection of prostate cancer, reducing the number of unnecessary biopsies and improving the prediction of the aggressiveness of the tumor.


Corresponding author: Dr. Xavier Filella, Department of Biochemistry and Molecular Genetics CDB, Hospital Clínic, C/ Villarroel, 170, 08036 Barcelona, Catalonia, Spain, Phone: +34 93 2279375, Fax: +34 93 2279376, E-mail:

Acknowledgments

Reagent for measurements of tPSA, fPSA and p2PSA was furnished freely by Beckman Coulter. Study was supported by grant Emili Letang from Hospital Clínic to Dr. Foj.

Conflict of interest statement

Authors’ conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article. Research support played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

References

1. Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, et al. Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer 2013;49:1374–403.10.1016/j.ejca.2012.12.027Suche in Google Scholar

2. Roddam AW, Duffy MJ, Hamdy FC, Ward AM, Patnick J, Price CP, et al. Use of prostate-specific antigen (PSA) isoforms for the detection of prostate cancer in men with a PSA level of 2–10 ng/ml: systematic review and meta-analysis. Eur Urol 2005;48: 386–99.10.1016/j.eururo.2005.04.015Suche in Google Scholar

3. Lee R, Localio AR, Armstrong K, Malkowicz SB, Schwartz JS. A meta-analysis of the performance characteristics of the free prostate-specific antigen test. Urology 2006;67:762–8.10.1016/j.urology.2005.10.052Suche in Google Scholar

4. Etzioni R, Penson DF, Legler JM, di Tommaso D, Boer R, Gann PH, et al. Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer Incidente Trenes. J Nat Cancer Inst 2002;94:981–90.10.1093/jnci/94.13.981Suche in Google Scholar

5. Johansson JE, Andrén O, Andersson SO, Dickman PW, Holmberg L, Magnuson A, et al. Natural history of early, localized prostate cancer. JAMA 2004;291:2713–9.10.1001/jama.291.22.2713Suche in Google Scholar

6. Mikolajczyk SD, Marks LS, Partin AW, Rittenhouse HG. Free prostate-specific antigen in serum is becoming more complex. Urology 2002;59:797–802.10.1016/S0090-4295(01)01605-3Suche in Google Scholar

7. Hori S, Blanchet JS, McLoughlin J. From prostate-specific antigen (PSA) to precursor PSA (proPSA) isoforms: a review of the emerging role of proPSAs in the detection and management of early prostate cancer. Br J Urol Int 2013;112:717–28.10.1111/j.1464-410X.2012.11329.xSuche in Google Scholar PubMed

8. 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;51:729–39.10.1515/cclm-2012-0410Suche in Google Scholar PubMed

9. Melichar B. PSA, PCA3 and the philosophy of prostate cancer management. Clin Chem Lab Med 2013;51:707–12.10.1515/cclm-2013-0156Suche in Google Scholar PubMed

10. 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;185:1650–5.10.1016/j.juro.2010.12.032Suche in Google Scholar PubMed PubMed Central

11. 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;59:306–14.10.1373/clinchem.2012.195784Suche in Google Scholar PubMed

12. Quality Requirements & Control Guidelines. European Group on Tumor Markers. Available from: http://www.egtm.eu/information_for_patients/quality_requirements_and_control.Suche in Google Scholar

13. Semjonow A, Kopke T, Eltze E, Pepping-SchefersB, Burgel H, Darte C. Pre-analytical in-vitro stability of [–2]proPSA in blood and serum. Clin Biochem 2010;43:926–8.10.1016/j.clinbiochem.2010.04.062Suche in Google Scholar PubMed

14. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837–45.10.2307/2531595Suche in Google Scholar

15. 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;63:986–94.10.1016/j.eururo.2013.01.011Suche in Google Scholar PubMed

16. Nichol MB, Wu J, Huang J, Denham D, Frencher SK, Jacobsen SJ. Cost-effectiveness of Prostate Health Index for prostate cancer detection. Br J Urol Int 2011;110:353–62.10.1111/j.1464-410X.2011.10751.xSuche in Google Scholar PubMed

17. Nichol MB, Wu J, An JJ, Huang J, Denham D, Frencher S, et al. Budget impact analysis of a new prostate cancer risk index for prostate cancer detection. Prostate Cancer Prostatic Dis 2011;14:253–61.10.1038/pcan.2011.16Suche in Google Scholar PubMed

18. Klotz L. Active surveillance for prostate cancer: overview and update. Curr Treat Options Oncol 2013;14:97–108.10.1007/s11864-012-0221-5Suche in Google Scholar PubMed

19. Wilt TJ, Brawer MK, Jones KM, Barry MJ, Aronson WJ, Fox S, et al. Prostate Cancer Intervention versus Observation Trial (PIVOT) Study Group. Radical prostatectomy versus observation for localized prostate cancer. N Engl J Med 2012;367:203–13.10.1056/NEJMoa1113162Suche in Google Scholar PubMed PubMed Central

20. Tosoian JJ, Loeb S, Feng Z, Isharwal S, Landis P, Elliot DJ, et al. Association of [–2]proPSA with biopsy reclassification during active surveillance for prostate cancer. J Urol 2012;188:1131–6.10.1016/j.juro.2012.06.009Suche in Google Scholar PubMed PubMed Central

21. Jansen FH, van Schaik RH, 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;57:921–7.10.1016/j.eururo.2010.02.003Suche in Google Scholar PubMed

22. 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;60:214–22.10.1016/j.eururo.2011.03.052Suche in Google Scholar PubMed

23. Sokoll LJ, Sanda MG, Feng Z, Kagan J, Mizrahi IA, Broyles DL, et al. A prospective, multicenter, National Cancer Institute Early Detection Research Network study of [–2]proPSA: improving prostate cancer detection and correlating with cancer aggressiveness. Cancer Epidemiol Biomarkers Prev 2010;19:1193–200.10.1158/1055-9965.EPI-10-0007Suche in Google Scholar PubMed PubMed Central

24. Stephan C, Kahrs AM, Cammann H, Lein M, Schrader M, Deger S, et al. A [–2]proPSA-based artificial neural network significantly improves differentiation between prostate cancer and benign prostatic diseases. Prostate 2009;69:198–207.10.1002/pros.20872Suche in Google Scholar PubMed

25. Carter HB, Partin AW, Walsh PC, Trock BJ, Veltri RW, Nelson WG, et al. Gleason score 6 adenocarcinoma: should it be labeled as cancer? J Clin Oncol 2012;30:4294–6.10.1200/JCO.2012.44.0586Suche in Google Scholar PubMed PubMed Central

Received: 2014-1-7
Accepted: 2014-3-6
Published Online: 2014-4-2
Published in Print: 2014-9-1

©2014 by De Gruyter

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