Bone Biomarkers and Subsequent Survival in Men with Hormone-sensitive Prostate Cancer: Results from the SWOG S1216 Phase 3 Trial of Androgen Deprivation Therapy with or Without Orteronel.

Biomarkers Bone turnover Hormone sensitive Overall survival Predictive Prognostic Prostate cancer

Journal

European urology
ISSN: 1873-7560
Titre abrégé: Eur Urol
Pays: Switzerland
ID NLM: 7512719

Informations de publication

Date de publication:
19 Apr 2023
Historique:
received: 26 09 2022
revised: 30 01 2023
accepted: 29 03 2023
pmc-release: 19 10 2024
medline: 22 4 2023
pubmed: 22 4 2023
entrez: 21 04 2023
Statut: aheadofprint

Résumé

Bone biomarkers are strongly prognostic for overall survival (OS) in men with castration-resistant prostate cancer but not fully established for hormone-sensitive prostate cancer (HSPC). Bone biomarkers in HSPC were prospectively evaluated as part of a phase 3 study of androgen deprivation therapy ± the CYP17 inhibitor orteronel. Patients were randomly divided into training (n = 316) and validation (n = 633) sets. Recursive partitioning and Cox proportional hazard models were employed. Bone resorption (C-telopeptide and pyridinoline) and bone formation markers (C-terminal collagen propeptide and bone alkaline phosphatase) were assessed from patient sera. Of 1279 men, 949 had evaluable baseline bone biomarkers. Optimal cutoffs were identified to define elevated levels of each of the four biomarkers (all p < 0.05) that were associated with worse OS. After adjusting for clinical risk factors in the validation set, elevated bone biomarkers were statistically significantly associated with an increased risk of death (hazard ratios ranging from 1.37 to 1.92). Recursive partitioning algorithms applied to the training set identified three risk groups (low, intermediate, and poor) with differential OS outcomes (median OS: 8.2, 5.1, and 2.1 yr, respectively) based on combinations of bone biomarkers. These results were confirmed in the validation set. In men with HSPC initiating androgen deprivation therapy, bone biomarkers are strongly and independently prognostic for OS. Bone biomarker levels alone or in combination with clinical covariates identify unique subsets of men with differential OS outcomes. These results validate the clinical value of bone biomarker assessment in the HSPC state, extending bone biomarker utility beyond the castration-resistant state. In men with newly diagnosed metastatic prostate cancer, high levels of bone turnover biomarkers are associated with a shorter lifespan.

Sections du résumé

BACKGROUND BACKGROUND
Bone biomarkers are strongly prognostic for overall survival (OS) in men with castration-resistant prostate cancer but not fully established for hormone-sensitive prostate cancer (HSPC).
OBJECTIVE OBJECTIVE
Bone biomarkers in HSPC were prospectively evaluated as part of a phase 3 study of androgen deprivation therapy ± the CYP17 inhibitor orteronel.
DESIGN, SETTING, AND PARTICIPANTS METHODS
Patients were randomly divided into training (n = 316) and validation (n = 633) sets. Recursive partitioning and Cox proportional hazard models were employed.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS METHODS
Bone resorption (C-telopeptide and pyridinoline) and bone formation markers (C-terminal collagen propeptide and bone alkaline phosphatase) were assessed from patient sera.
RESULTS AND LIMITATIONS CONCLUSIONS
Of 1279 men, 949 had evaluable baseline bone biomarkers. Optimal cutoffs were identified to define elevated levels of each of the four biomarkers (all p < 0.05) that were associated with worse OS. After adjusting for clinical risk factors in the validation set, elevated bone biomarkers were statistically significantly associated with an increased risk of death (hazard ratios ranging from 1.37 to 1.92). Recursive partitioning algorithms applied to the training set identified three risk groups (low, intermediate, and poor) with differential OS outcomes (median OS: 8.2, 5.1, and 2.1 yr, respectively) based on combinations of bone biomarkers. These results were confirmed in the validation set.
CONCLUSIONS CONCLUSIONS
In men with HSPC initiating androgen deprivation therapy, bone biomarkers are strongly and independently prognostic for OS. Bone biomarker levels alone or in combination with clinical covariates identify unique subsets of men with differential OS outcomes. These results validate the clinical value of bone biomarker assessment in the HSPC state, extending bone biomarker utility beyond the castration-resistant state.
PATIENT SUMMARY RESULTS
In men with newly diagnosed metastatic prostate cancer, high levels of bone turnover biomarkers are associated with a shorter lifespan.

Identifiants

pubmed: 37085425
pii: S0302-2838(23)02715-X
doi: 10.1016/j.eururo.2023.03.036
pmc: PMC10662935
mid: NIHMS1940614
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : P30 CA093373
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180819
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180888
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233340
Pays : United States

Informations de copyright

Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Auteurs

Primo N Lara (PN)

University of California Davis Comprehensive Cancer Center, Sacramento, CA, USA. Electronic address: pnlara@ucdavis.edu.

Edward Mayerson (E)

SWOG Statistical Center, Seattle, WA, USA.

Erik Gertz (E)

US Department of Agriculture, Western Human Nutrition Research Center, University of California Davis, Davis, CA, USA.

Catherine Tangen (C)

SWOG Statistical Center, Seattle, WA, USA.

Amir Goldkorn (A)

USC Norris Comprehensive Cancer Center, Los Angeles, CA, USA.

Marta van Loan (M)

US Department of Agriculture, Western Human Nutrition Research Center, University of California Davis, Davis, CA, USA.

Maha Hussain (M)

Northwestern University, Chicago, IL, USA.

Shilpa Gupta (S)

Cleveland Clinic, Cleveland, OH, USA.

Jingsong Zhang (J)

Moffit Cancer Institute, Tampa Bay, FL, USA.

Mamta Parikh (M)

University of California Davis Comprehensive Cancer Center, Sacramento, CA, USA.

Przemyslaw Twardowski (P)

St. John's Cancer Institute, Providence Health, Santa Monica, CA, USA.

David I Quinn (DI)

USC Norris Comprehensive Cancer Center, Los Angeles, CA, USA.

Michael LeBlanc (M)

SWOG Statistical Center, Seattle, WA, USA.

Nicholas J Vogelzang (NJ)

Comprehensive Cancer Centers of Nevada, Las Vegas, NV, USA.

Ian Thompson (I)

Christus Santa Rosa Health System, San Antonio, TX Health, San Antonio, TX, USA.

Neeraj Agarwal (N)

Huntsman Cancer Institute, Salt Lake City, UT, USA.

Classifications MeSH