Validation of the Decipher Test for Predicting Distant Metastatic Recurrence in Men with High-risk Nonmetastatic Prostate Cancer 10 Years After Surgery.


Journal

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

Informations de publication

Date de publication:
09 2019
Historique:
received: 16 09 2018
revised: 27 11 2018
accepted: 14 12 2018
pubmed: 15 8 2019
medline: 20 6 2020
entrez: 15 8 2019
Statut: ppublish

Résumé

Decipher is a genomic classifier designed to predict the development of distant metastases after surgical treatment of prostate cancer (PC). Its long-term prognostic role in a high-risk PC population has not been investigated previously. To determine the prognostic role of the Decipher genomic classifier in two high-risk PC case-control studies. Patients who developed distant metastases after surgery for high-risk, nonmetastatic PC in a European tertiary referral center from 1991 to 2011 were matched to patients not developing distant metastases (n=54). A validation study (n=298) was performed using a similar US case-control cohort. Formalin-fixed, paraffin-embedded tissue blocks from the index PC lesion were used for RNA extraction and gene expression analysis. The outcome investigated was the development of distant metastasis within 10-yr follow-up. Multivariable logistic regression analysis was performed, with statistical significance considered at p<0.05. In both the European and US case-control studies, the median Decipher scores were higher in the population that developed metastases. In the multivariable analysis, each 10% increase in Decipher score translated to an increase in the risk of distant metastases within 10-yr follow-up, with an odds ratio of 1.53 (95% confidence interval [CI] 1.06-2.22; p=0.025) and 1.58 (95% CI 1.31-1.92; p<0.001) for the European and US cohorts, respectively. Median follow-up for the European cohort was 12yr (interquartile range 8-12). The study limitation is the small size of the European cohort. Our study validates Decipher as a predictor for metastatic recurrence even in patients with high-risk, nonmetastatic PC within 10-yr follow-up. Decipher is a test based on gene expression profiles in primary tumors in prostate cancer. It has already been proven to predict cancer recurrence after surgery, but this has not yet been shown for patients with high-risk prostate cancer. This is the first study confirming that Decipher predicts a patient's risk of developing cancer recurrence after surgery for high-risk prostate cancer.

Sections du résumé

BACKGROUND
Decipher is a genomic classifier designed to predict the development of distant metastases after surgical treatment of prostate cancer (PC). Its long-term prognostic role in a high-risk PC population has not been investigated previously.
OBJECTIVE
To determine the prognostic role of the Decipher genomic classifier in two high-risk PC case-control studies.
DESIGN, SETTING, AND PARTICIPANTS
Patients who developed distant metastases after surgery for high-risk, nonmetastatic PC in a European tertiary referral center from 1991 to 2011 were matched to patients not developing distant metastases (n=54). A validation study (n=298) was performed using a similar US case-control cohort. Formalin-fixed, paraffin-embedded tissue blocks from the index PC lesion were used for RNA extraction and gene expression analysis.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
The outcome investigated was the development of distant metastasis within 10-yr follow-up. Multivariable logistic regression analysis was performed, with statistical significance considered at p<0.05.
RESULTS AND LIMITATIONS
In both the European and US case-control studies, the median Decipher scores were higher in the population that developed metastases. In the multivariable analysis, each 10% increase in Decipher score translated to an increase in the risk of distant metastases within 10-yr follow-up, with an odds ratio of 1.53 (95% confidence interval [CI] 1.06-2.22; p=0.025) and 1.58 (95% CI 1.31-1.92; p<0.001) for the European and US cohorts, respectively. Median follow-up for the European cohort was 12yr (interquartile range 8-12). The study limitation is the small size of the European cohort.
CONCLUSIONS
Our study validates Decipher as a predictor for metastatic recurrence even in patients with high-risk, nonmetastatic PC within 10-yr follow-up.
PATIENT SUMMARY
Decipher is a test based on gene expression profiles in primary tumors in prostate cancer. It has already been proven to predict cancer recurrence after surgery, but this has not yet been shown for patients with high-risk prostate cancer. This is the first study confirming that Decipher predicts a patient's risk of developing cancer recurrence after surgery for high-risk prostate cancer.

Identifiants

pubmed: 31411980
pii: S2588-9311(18)30215-3
doi: 10.1016/j.euo.2018.12.007
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Reagent Kits, Diagnostic 0

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

589-596

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Thomas Van den Broeck (T)

Department of Cellular and Molecular Medicine, Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium; Department of Urology, University Hospitals Leuven, Leuven, Belgium.

Lisa Moris (L)

Department of Cellular and Molecular Medicine, Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium; Department of Urology, University Hospitals Leuven, Leuven, Belgium.

Thomas Gevaert (T)

Department of Urology, University Hospitals Leuven, Leuven, Belgium.

Lorenzo Tosco (L)

Department of Urology, University Hospitals Leuven, Leuven, Belgium; Nuclear Medicine & Molecular Imaging, KU Leuven, Leuven, Belgium.

Elien Smeets (E)

Department of Cellular and Molecular Medicine, Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium.

Nick Fishbane (N)

Research and Development, GenomeDx Biosciences, Vancouver, Canada.

Yang Liu (Y)

Research and Development, GenomeDx Biosciences, Vancouver, Canada.

Christine Helsen (C)

Department of Cellular and Molecular Medicine, Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium.

Jennifer Margrave (J)

Research and Development, GenomeDx Biosciences, Vancouver, Canada.

Christine Buerki (C)

Research and Development, GenomeDx Biosciences, Vancouver, Canada.

Elai Davicioni (E)

Research and Development, GenomeDx Biosciences, Vancouver, Canada.

Hendrik Van Poppel (H)

Department of Urology, University Hospitals Leuven, Leuven, Belgium.

Wouter Everaerts (W)

Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Regeneration and Development, KU Leuven, Leuven, Belgium.

Sheila Weinmann (S)

Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.

Robert Den (R)

Department of Radiation Oncology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

John Davis (J)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Edward Schaeffer (E)

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

R Jeffrey Karnes (RJ)

Department of Urology, Mayo Clinic, Rochester, MN, USA.

Frank Claessens (F)

Department of Cellular and Molecular Medicine, Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium.

Steven Joniau (S)

Department of Urology, University Hospitals Leuven, Leuven, Belgium. Electronic address: steven.joniau@uzleuven.be.

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