Literature DB >> 33743058

Does post prostatectomy decipher score predict biochemical recurrence and impact care?

Christine White1, Ilene Staff2, Tara McLaughlin3, Joseph Tortora2, Kevin Pinto1, Akshay Gangakhedkar1, Alison Champagne2, Joseph Wagner1.   

Abstract

PURPOSE: To examine the ability of the Decipher test to predict early biochemical recurrence after radical prostatectomy and to impact clinical decisions in advance of metastasis and death.
METHODS: We identified Decipher tests ordered after radical prostatectomy for adverse pathology in men treated for prostate cancer between 1/1/14 and 8/31/18. Biochemical recurrence was defined as prostate-specific antigen > 0.02 ng/mL. Decipher score is reported as lower risk (< 0.6) and higher risk ≥ 0.60). Kaplan-Meier analysis was used to examine the relationship between Decipher score and time to biochemical recurrence (months). Cox regression was used to analyze the relationship between Decipher score and time to biochemical recurrence while controlling for a number of clinical characteristics. Secondary analyses focused on a subset of men with prostate-specific antigen > 0.02 and < 0.20 ng/mL to determine if high-risk Decipher scores were associated with receipt of salvage treatment.
RESULTS: A total of 203 cases were analyzed: 37.9% and 62.1% had lower and higher risk Decipher scores respectively, and 56.2% had a biochemical recurrence. Median (inter-quartile range) follow-up was 20 (13.5, 25.3) months. Decipher score was significantly associated with time to biochemical recurrence (p = 0.027) while in the secondary analyses, high-risk Decipher scores (≥ 0.60) were associated with salvage treatment (p = 0.018). Stage category and Decipher score were significant predictors of time from elevated PSA to salvage treatment in the secondary analyses.
CONCLUSION: While it might not contribute statistically, Decipher score can be clinically useful in helping patients reach treatment decisions.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Genomics; Prostatectomy; Prostatic neoplasms

Mesh:

Substances:

Year:  2021        PMID: 33743058     DOI: 10.1007/s00345-021-03661-1

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  2 in total

1.  Ultrasensitive prostate-specific antigen level as a predictor of biochemical progression after robot-assisted radical prostatectomy: Towards risk adapted follow-up.

Authors:  Nikolaos Grivas; Daan de Bruin; Kurdo Barwari; Erik van Muilekom; Corinne Tillier; Pim J van Leeuwen; Esther Wit; Wouter Kroese; Henk van der Poel
Journal:  J Clin Lab Anal       Date:  2018-10-26       Impact factor: 2.352

2.  Performance of a Prostate Cancer Genomic Classifier in Predicting Metastasis in Men with Prostate-specific Antigen Persistence Postprostatectomy.

Authors:  Daniel E Spratt; Darlene L Y Dai; Robert B Den; Patricia Troncoso; Kasra Yousefi; Ashley E Ross; Edward M Schaeffer; Zaid Haddad; Elai Davicioni; Rohit Mehra; Todd M Morgan; Walter Rayford; Firas Abdollah; Edouard Trabulsi; Mary Achim; Elsa Li Ning Tapia; Mireya Guerrero; Robert Jeffrey Karnes; Adam P Dicker; Mark A Hurwitz; Paul L Nguyen; Felix F Y Feng; Stephen J Freedland; John W Davis
Journal:  Eur Urol       Date:  2017-12-10       Impact factor: 20.096

  2 in total

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