Association Between the Decipher Genomic Classifier and Prostate Cancer Outcome in the Real-world Setting.

Biochemical recurrence Decipher Linkage Metastasis Outcomes Prognosis Prostate biopsy Prostate cancer Prostatectomy Real-world data Transcriptome

Journal

European urology oncology
ISSN: 2588-9311
Titre abrégé: Eur Urol Oncol
Pays: Netherlands
ID NLM: 101724904

Informations de publication

Date de publication:
03 Aug 2024
Historique:
received: 15 05 2024
revised: 28 06 2024
accepted: 23 07 2024
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 4 8 2024
Statut: aheadofprint

Résumé

Although the prognostic significance of the Decipher prostate cancer genomic classifier (GC) has been established largely from analyses of archival tissue, less is known about the associations between the results of Decipher testing and oncologic outcomes among patients receiving contemporaneous testing and treatment in the real-world practice setting. Our objective was to assess the associations between the Decipher GC and risks of metastasis and biochemical recurrence (BCR) following prostate biopsy and radical prostatectomy (RP) among patients tested and treated in the real-world setting. A retrospective cohort study was conducted using a novel longitudinal linkage of transcriptomic data from the Decipher GC and real-world clinical data (RWD) aggregated from insurance claims, pharmacy records, and electronic health record data across payors and sites of care. Kaplan-Meier and Cox proportional hazards regressions were used to examine the associations between the GC and study outcomes, adjusting for clinical and pathologic factors. Metastasis from prostate cancer and BCR after radical prostatectomy, Decipher GC continuous score, and risk categories were evaluated. We identified 58 935 participants who underwent Decipher testing, including 33 379 on a biopsy specimen and 25 556 on an RP specimen. The median age was 67 yr (interquartile range [IQR] 62-72) at biopsy testing and 65 yr (IQR 59-69) at RP. The median GC score was 0.43 (IQR 0.27-0.66) among biopsy-tested patients and 0.54 (0.32-0.79) among RP-tested patients. The GC was independently associated with the risk of metastasis among biopsy-tested (hazard ratio [HR] per 0.1 unit increase in GC 1.21 [95% confidence interval {CI} 1.16-1.27], p < 0.001) and RP-tested (HR 1.20 [95% CI 1.17-1.24], p < 0.001) patients after adjusting for baseline clinical and pathologic risk factors. In addition, the GC was associated with the risk of BCR among RP-tested patients (HR 1.12 [95% CI 1.10-1.14], p < 0.001) in models adjusted for age and Cancer of the Prostate Risk Assessment postsurgical score. This real-world study of a novel transcriptomic linkage conducted at a national scale supports the external prognostic validity of the Decipher GC among patients managed in contemporary practice. This study looked at the use of the Decipher genomic classifier, a test used to help understand the aggressiveness of a patient's prostate cancer. Looking at the results of 58 935 participants who underwent testing, we found that the Decipher test helped estimate the risk of cancer recurrence and metastasis.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
Although the prognostic significance of the Decipher prostate cancer genomic classifier (GC) has been established largely from analyses of archival tissue, less is known about the associations between the results of Decipher testing and oncologic outcomes among patients receiving contemporaneous testing and treatment in the real-world practice setting. Our objective was to assess the associations between the Decipher GC and risks of metastasis and biochemical recurrence (BCR) following prostate biopsy and radical prostatectomy (RP) among patients tested and treated in the real-world setting.
METHODS METHODS
A retrospective cohort study was conducted using a novel longitudinal linkage of transcriptomic data from the Decipher GC and real-world clinical data (RWD) aggregated from insurance claims, pharmacy records, and electronic health record data across payors and sites of care. Kaplan-Meier and Cox proportional hazards regressions were used to examine the associations between the GC and study outcomes, adjusting for clinical and pathologic factors.
KEY FINDINGS AND LIMITATIONS UNASSIGNED
Metastasis from prostate cancer and BCR after radical prostatectomy, Decipher GC continuous score, and risk categories were evaluated. We identified 58 935 participants who underwent Decipher testing, including 33 379 on a biopsy specimen and 25 556 on an RP specimen. The median age was 67 yr (interquartile range [IQR] 62-72) at biopsy testing and 65 yr (IQR 59-69) at RP. The median GC score was 0.43 (IQR 0.27-0.66) among biopsy-tested patients and 0.54 (0.32-0.79) among RP-tested patients. The GC was independently associated with the risk of metastasis among biopsy-tested (hazard ratio [HR] per 0.1 unit increase in GC 1.21 [95% confidence interval {CI} 1.16-1.27], p < 0.001) and RP-tested (HR 1.20 [95% CI 1.17-1.24], p < 0.001) patients after adjusting for baseline clinical and pathologic risk factors. In addition, the GC was associated with the risk of BCR among RP-tested patients (HR 1.12 [95% CI 1.10-1.14], p < 0.001) in models adjusted for age and Cancer of the Prostate Risk Assessment postsurgical score.
CONCLUSIONS AND CLINICAL IMPLICATIONS CONCLUSIONS
This real-world study of a novel transcriptomic linkage conducted at a national scale supports the external prognostic validity of the Decipher GC among patients managed in contemporary practice.
PATIENT SUMMARY RESULTS
This study looked at the use of the Decipher genomic classifier, a test used to help understand the aggressiveness of a patient's prostate cancer. Looking at the results of 58 935 participants who underwent testing, we found that the Decipher test helped estimate the risk of cancer recurrence and metastasis.

Identifiants

pubmed: 39098389
pii: S2588-9311(24)00183-4
doi: 10.1016/j.euo.2024.07.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Michael S Leapman (MS)

Department of Urology, Yale School of Medicine, New Haven, CT, USA; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA. Electronic address: michael.leapman@yale.edu.

Julian Ho (J)

Veracyte Inc, San Francisco, CA, USA.

Yang Liu (Y)

Veracyte Inc, San Francisco, CA, USA.

Christopher Filson (C)

Department of Urology, Emory School of Medicine, Atlanta, GA, USA.

Xin Zhao (X)

Veracyte Inc, San Francisco, CA, USA.

Alexander Hakansson (A)

Veracyte Inc, San Francisco, CA, USA.

James A Proudfoot (JA)

Veracyte Inc, San Francisco, CA, USA.

Elai Davicioni (E)

Veracyte Inc, San Francisco, CA, USA.

Darryl T Martin (DT)

Department of Urology, Yale School of Medicine, New Haven, CT, USA.

Yi An (Y)

Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.

Tyler M Seibert (TM)

Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Daniel W Lin (DW)

Department of Urology, University of Washington, Seattle, WA, USA.

Daniel E Spratt (DE)

Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH, USA.

Matthew R Cooperberg (MR)

Department of Urology, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Preston C Sprenkle (PC)

Department of Urology, Yale School of Medicine, New Haven, CT, USA.

Ashley E Ross (AE)

Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Classifications MeSH