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Prognostic Index Model for Progression-Free Survival in Chemotherapy-Naïve Metastatic Castration-Resistant Prostate Cancer Treated With Abiraterone Acetate Plus Prednisone.
Ryan, Charles J; Kheoh, Thian; Li, Jinhui; Molina, Arturo; De Porre, Peter; Carles, Joan; Efstathiou, Eleni; Kantoff, Philip W; Mulders, Peter F A; Saad, Fred; Chi, Kim N.
Afiliación
  • Ryan CJ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA. Electronic address: ryanc@medicine.ucsf.edu.
  • Kheoh T; Janssen Research & Development, San Diego, CA.
  • Li J; Johnson & Johnson Medical China, Shanghai, China.
  • Molina A; Janssen Research & Development, Menlo Park, CA.
  • De Porre P; Janssen Research & Development, Beerse, Belgium.
  • Carles J; Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona, Spain.
  • Efstathiou E; The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Kantoff PW; Memorial Sloan Kettering Cancer Center, New York, NY.
  • Mulders PFA; Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Saad F; Centre Hospitalier de l'Université de Montréal/CRCHUM, Montréal, QC, Canada.
  • Chi KN; BC Cancer Agency, Vancouver, BC, Canada.
Article en En | MEDLINE | ID: mdl-28844792
BACKGROUND: Radiographic progression-free survival (rPFS) is associated with overall survival (OS) in chemotherapy-naïve metastatic castration-resistant prostate cancer (mCRPC) patients. Using readily assessable baseline clinical and laboratory parameters, we developed a prognostic index model for rPFS in chemotherapy-naïve mCRPC patients without visceral disease who were treated with abiraterone acetate plus prednisone. METHODS: Data from the abiraterone acetate plus prednisone arm of COU-AA-302 were used. rPFS was defined based on modified Prostate Cancer Working Group 2 criteria. Baseline variables were assessed for association with rPFS through univariate Cox modeling. The lower (LLN) and upper (ULN) limits of laboratory normal were used to dichotomize most laboratory parameters; baseline median was used to dichotomize prostate-specific antigen (PSA). Prognostic factors for rPFS were identified by multivariate Cox modeling. Model accuracy was estimated by the C-index. RESULTS: Presence of lymph node metastasis (hazard ratio [HR] = 1.76, P < .0001), lactate dehydrogenase > ULN (234 IU/L) (HR = 1.71, P = .0001), ≥ 10 bone metastases (HR = 1.71, P = .0015), hemoglobin ≤ LLN (12.7 g/dL) (HR = 1.47, P = .0030) and PSA > 39.5 ng/mL (HR = 1.42, P = .0078) were associated with poor outcome. Patients were categorized into 3 prognostic groups (good, n = 230; intermediate, n = 152; poor, n = 164) based on number of risk factors. Median rPFS was calculated (27.6, 16.6, and 8.3 months for good, intermediate, and poor, respectively). The C-index was 0.83 (95% confidence interval = 0.73-0.91). CONCLUSIONS: The prognostic index model for rPFS reveals differential outcomes based on factors readily available in clinical practice. If validated, this model can be integrated into clinical practice and design of risk-stratified trials.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Genitourin Cancer Asunto de la revista: NEOPLASIAS / UROLOGIA Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Genitourin Cancer Asunto de la revista: NEOPLASIAS / UROLOGIA Año: 2017 Tipo del documento: Article