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Development and validation of a prognostic model for overall survival in chemotherapy-naïve men with metastatic castration-resistant prostate cancer.
Armstrong, A J; Lin, P; Higano, C S; Sternberg, C N; Sonpavde, G; Tombal, B; Templeton, A J; Fizazi, K; Phung, D; Wong, E K; Krivoshik, A; Beer, T M.
Afiliação
  • Armstrong AJ; Division of Medical Oncology and Urology, Duke Prostate and Urologic Cancer Center, Duke Cancer Institute Duke University, Durham. Electronic address: andrew.armstrong@duke.edu.
  • Lin P; Biostatistics (Lin) and Medical Affairs (Wong), Pfizer Inc, San Francisco.
  • Higano CS; Medical Oncology, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, USA.
  • Sternberg CN; Medical Oncology, San Camillo and Forlanini Hospitals, Rome, Italy.
  • Sonpavde G; Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, USA.
  • Tombal B; Urology, Cliniques universitaires Saint-Luc, Brussels, Belgium.
  • Templeton AJ; Department of Oncology, St. Claraspital and University of Basel, Basel, Switzerland.
  • Fizazi K; Department of Cancer Medicine, Institut Gustave Roussy University of Paris Sud, Villejuif, France.
  • Phung D; Biostatistics, Astellas Pharma Europe BV, Leiden, The Netherlands.
  • Wong EK; Biostatistics (Lin) and Medical Affairs (Wong), Pfizer Inc, San Francisco.
  • Krivoshik A; Medical Sciences, Astellas Pharma US, Inc, Northbrook.
  • Beer TM; Hematology/Medical Oncology, OHSU Knight Cancer Institute Oregon Health & Science University, Portland, USA.
Ann Oncol ; 29(11): 2200-2207, 2018 11 01.
Article em En | MEDLINE | ID: mdl-30202945
ABSTRACT

Background:

Prognostic models are needed that reflect contemporary practice for men with metastatic castration-resistant prostate cancer (mCRPC). We sought to identify predictive and prognostic variables for overall survival (OS) in chemotherapy-naïve men with mCRPC treated with enzalutamide. Patients and

methods:

Patients from the PREVAIL trial database (enzalutamide versus placebo) were randomly split 2 1 into training (n = 1159) and testing (n = 550) sets. Using the training set, 23 predefined variables were analyzed and a multivariable model predicting OS was developed and validated in an independent testing set.

Results:

Patient characteristics and outcomes were well balanced between training and testing sets; median OS was 32.7 months in each. The final validated multivariable model included 11 independent prognostic variables. Median OS for low-, intermediate-, and high-risk groups (testing set) defined by prognostic risk tertiles were not yet reached (NYR) (95% CI NYR-NYR), 34.2 months (31.5-NYR), and 21.1 months (17.5-25.0), respectively. Hazard ratios (95% CI) for OS in the low- and intermediate-risk groups versus high-risk group were 0.20 (0.14-0.29) and 0.40 (0.30-0.53), respectively. Secondary outcomes of response and progression differed widely in model-defined risk groups. Enzalutamide improved outcomes in all prognostic risk groups.

Conclusions:

Our validated prognostic model incorporates variables routinely collected in chemotherapy-naïve men with mCRPC treated with enzalutamide, identifying subsets of patients with widely differing survival outcomes that provide useful information for external validation, patient care, and clinical trial design. Trial registration ClinicalTrials.gov NCT01212991.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Feniltioidantoína / Neoplasias de Próstata Resistentes à Castração / Antagonistas de Androgênios / Modelos Biológicos / Antineoplásicos Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Aged / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Feniltioidantoína / Neoplasias de Próstata Resistentes à Castração / Antagonistas de Androgênios / Modelos Biológicos / Antineoplásicos Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Aged / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article