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Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease.
Spratt, Daniel E; Yousefi, Kasra; Deheshi, Samineh; Ross, Ashley E; Den, Robert B; Schaeffer, Edward M; Trock, Bruce J; Zhang, Jingbin; Glass, Andrew G; Dicker, Adam P; Abdollah, Firas; Zhao, Shuang G; Lam, Lucia L C; du Plessis, Marguerite; Choeurng, Voleak; Haddad, Zaid; Buerki, Christine; Davicioni, Elai; Weinmann, Sheila; Freedland, Stephen J; Klein, Eric A; Karnes, R Jeffrey; Feng, Felix Y.
Afiliação
  • Spratt DE; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Yousefi K; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Deheshi S; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Ross AE; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Den RB; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Schaeffer EM; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Trock BJ; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Zhang J; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Glass AG; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Dicker AP; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Abdollah F; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Zhao SG; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Lam LLC; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • du Plessis M; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Choeurng V; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Haddad Z; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Buerki C; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Davicioni E; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Weinmann S; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Freedland SJ; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Klein EA; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Karnes RJ; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
  • Feng FY; Daniel E. Spratt and Shuang G. Zhao, University of Michigan, Ann Arbor; Firas Abdollah, Henry Ford Health System, Detroit, MI; Kasra Yousefi, Samineh Deheshi, Jingbin Zhang, Lucia L.C. Lam, Marguerite du Plessis, Voleak Choeurng, Zaid Haddad, Christine Buerki, and Elai Davicioni, GenomeDx Bioscience
J Clin Oncol ; 35(18): 1991-1998, 2017 Jun 20.
Article em En | MEDLINE | ID: mdl-28358655
Purpose To perform the first meta-analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I2 test. Results Five studies (975 total patients, and 855 patients with individual patient-level data) were eligible for analysis, with a median follow-up of 8 years. Of the total cohort, 60.9%, 22.6%, and 16.5% of patients were classified by Decipher as low, intermediate, and high risk, respectively. The 10-year cumulative incidence metastases rates were 5.5%, 15.0%, and 26.7% ( P < .001), respectively, for the three risk classifications. Pooling the study-specific Decipher HRs across the five studies resulted in an HR of 1.52 (95% CI, 1.39 to 1.67; I2 = 0%) per 0.1 unit. In multivariable analysis of individual patient data, adjusting for clinicopathologic variables, Decipher remained a statistically significant predictor of metastasis (HR, 1.30; 95% CI, 1.14 to 1.47; P < .001) per 0.1 unit. The C-index for 10-year distant metastasis of the clinical model alone was 0.76; this increased to 0.81 with inclusion of Decipher. Conclusion The genomic classifier test, Decipher, can independently improve prognostication of patients postprostatectomy, as well as within nearly all clinicopathologic, demographic, and treatment subgroups. Future study of how to best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations is warranted.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Nomogramas Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: J Clin Oncol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Nomogramas Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: J Clin Oncol Ano de publicação: 2017 Tipo de documento: Article