The prognostic PDE4D7 score in a diagnostic biopsy prostate cancer patient cohort with longitudinal biological outcomes

van Strijp, D. et al. (2018) The prognostic PDE4D7 score in a diagnostic biopsy prostate cancer patient cohort with longitudinal biological outcomes. Prostate Cancer, 2018, 5821616. (doi: 10.1155/2018/5821616) (PMID:30147955) (PMCID:PMC6083737)

[img]
Preview
Text
165495.pdf - Published Version
Available under License Creative Commons Attribution.

2MB

Abstract

Purpose. To further validate the prognostic power of the biomarker PDE4D7, we investigated the correlation of PDE4D7 scores adjusted for presurgical clinical variables with longitudinal postsurgical biological outcomes. Methods. RNA was extracted from biopsy punches of resected tumors (550 patients; RP cohort) and diagnostic needle biopsies (168 patients; DB cohort). Cox regression and survival were applied to correlate PDE4D7 scores with patient outcomes. Logistic regression was used to combine the clinical CAPRA score with PDE4D7. Results. In univariate analysis, the PDE4D7 score was significantly associated with PSA recurrence after prostatectomy in both studied patient cohorts’ analysis (HR 0.53; 95% CI 0.41-0.67; p<1.0E-04 and HR 0.47; 95% CI 0.33-0.65; p<1.0E-04, respectively). After adjustment for the presurgical clinical variables preoperative PSA, PSA density, biopsy Gleason, clinical stage, percentage tumor in the biopsy (data only available for RP cohort), and percentage of positive biopsies, the HR was 0.49 (95% CI 0.38-0.64; p<1.0E-04) and 0.43 (95% CI 0.29-0.63; p<1.0E-04), respectively. The addition of the PDE4D7 to the clinical CAPRA score increased the AUC by 5% over the CAPRA score alone (0.82 versus 0.77; p=0.004). This combination model stratified 14.6% patients of the DB cohort to no risk of biochemical relapse (NPV 100%) over a follow-up period of up to 15 years. Conclusions. The PDE4D7 score provides independent risk information for pretreatment risk stratification. Combining CAPRA with PDE4D7 scores significantly improved the clinical risk stratification before surgery.

Item Type:Articles
Additional Information:This project was supported by the framework of CTMM (The Center for Translational Molecular Medicine; The Netherlands), PCMM project (grant 03O-203).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Houslay, Professor Miles and Baillie, Professor George and Hoffmann, Dr Ralf
Authors: van Strijp, D., de Witz, C., Vos, P. C., den Biezen, E., van Brussel, A., Wrobel, J., Baillie, G. S., Tennstedt, P., Schlomm, T., Heitkötter, B., Huss, S., Bögemann, M., Houslay, M. D., Bangma, C. H., Semjonow, A., and Hoffmann, R.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Prostate Cancer
Publisher:Hindawi
ISSN:2090-3111
ISSN (Online):2090-312X
Copyright Holders:Copyright © 2018 Dianne van Strijp et al.
First Published:First published in Prostate Cancer 2018: 5821616
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record