IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v43y2025i5d10.1007_s40273-024-01466-9.html
   My bibliography  Save this article

Prognostic Testing for Prostate Cancer—A Cost-Effectiveness Analysis Comparing a Prostatype P-Score Biomarker Approach to Standard Clinical Practice

Author

Listed:
  • Adam Fridhammar

    (The Swedish Institute for Health Economics)

  • Oskar Frisell

    (The Swedish Institute for Health Economics
    Karolinska Institutet)

  • Karin Wahlberg

    (The Swedish Institute for Health Economics)

  • Emelie Berglund

    (Prostatype Genomics AB)

  • Pontus Röbeck

    (Uppsala University Hospital)

  • Sofie Persson

    (The Swedish Institute for Health Economics
    Lund University, Lund)

Abstract

Background The Prostatype score (P-score) is a prognostic biomarker that integrates a three-gene (IGFBP3, F3, and VGLL3) signature derived from prostate biopsy samples, with key clinical parameters, including prostate-specific antigen (PSA) levels, Gleason grade, and tumor stage at diagnosis. The test has demonstrated superior predictive accuracy for prostate cancer outcomes compared with traditional risk categorization systems such as D’Amico. Notably, it reclassifies a higher proportion of patients into the low-risk category, making them eligible for active surveillance. This study assessed the cost-effectiveness of the P-score in comparison with D’Amico and the Swedish National Prostate Cancer Register (NPCR) risk categorization systems. Methods A two-step decision analytic model was developed. The model consisted of a decision tree-informed Markov structure estimating the lifetime outcomes of 60-year-old men with diagnosed prostate cancer. Prostate cancer was classified as low-risk, intermediate-risk, or high-risk using either the P-score or D’Amico. Initial therapy was based on observed treatment patterns from the Swedish NPCR. Costs (SEK, year 2022) and quality-adjusted life years (QALYs) were estimated from a healthcare perspective and discounted at 3% per year; incremental cost-effectiveness ratio (ICER) was the primary outcome. Results The P-score led to cost savings and generated an additional 0.19 QALYs compared with D’Amico. The added costs of the genetic test and higher costs of active surveillance and radiotherapy were counterbalanced by savings from reduced costs of surgery, treatment-related side-effects, and metastatic disease. The gain in QALYs was primarily due to the avoidance of metastatic disease and a reduction in treatment-related side-effects. Conclusions The results of this study suggest that the P-score is likely to be a cost-effective alternative to D’Amico for prognostic evaluation of newly diagnosed prostate cancer in Sweden and compared with NPCR when health-related quality of life was included.

Suggested Citation

  • Adam Fridhammar & Oskar Frisell & Karin Wahlberg & Emelie Berglund & Pontus Röbeck & Sofie Persson, 2025. "Prognostic Testing for Prostate Cancer—A Cost-Effectiveness Analysis Comparing a Prostatype P-Score Biomarker Approach to Standard Clinical Practice," PharmacoEconomics, Springer, vol. 43(5), pages 509-520, May.
  • Handle: RePEc:spr:pharme:v:43:y:2025:i:5:d:10.1007_s40273-024-01466-9
    DOI: 10.1007/s40273-024-01466-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-024-01466-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40273-024-01466-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pharme:v:43:y:2025:i:5:d:10.1007_s40273-024-01466-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.