Your browser doesn't support javascript.
loading
A novel prognostic model predicting overall survival in patients with metastatic castration-resistant prostate cancer receiving standard chemotherapy: A multi-trial cohort analysis.
Modonutti, Daniele; Majdalany, Sami E; Corsi, Nicholas; Li, Pin; Sood, Akshay; Dalela, Deepansh; Jamil, Marcus L; Hwang, Clara; Menon, Mani; Rogers, Craig G; Trinh, Quoc-Dien; Novara, Giacomo; Abdollah, Firas.
Afiliación
  • Modonutti D; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Majdalany SE; Department of Surgery, Oncology and Gastroenterology-Urology, University Hospital of Padova, Padova, Italy.
  • Corsi N; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Li P; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Sood A; Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA.
  • Dalela D; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Jamil ML; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Hwang C; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Menon M; Department of Internal Medicine, Division of Hematology/Oncology, Henry Ford Health System, Detroit, Michigan, USA.
  • Rogers CG; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Trinh QD; Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation (VCORE), Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA.
  • Novara G; Division of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Abdollah F; Department of Surgery, Oncology and Gastroenterology-Urology, University Hospital of Padova, Padova, Italy.
Prostate ; 82(13): 1293-1303, 2022 09.
Article en En | MEDLINE | ID: mdl-35790016
ABSTRACT

PURPOSE:

Generalizable, updated, and easy-to-use prognostic models for patients with metastatic castration-resistant prostate cancer (mCRPC) are lacking. We developed a nomogram predicting the overall survival (OS) of mCRPC patients receiving standard chemotherapy using data from five randomized clinical trials (RCTs).

METHODS:

Patients enrolled in the control arm of five RCTs (ASCENT 2, VENICE, CELGENE/MAINSAIL, ENTHUSE 14, and ENTHUSE 33) were randomly split between training (n = 1636, 70%) and validation cohorts (n = 700, 30%). In the training cohort, Cox regression tested the prognostic significance of all available variables as a predictor of OS. Independent predictors of OS on multivariable analysis were used to construct a novel multivariable model (nomogram). The accuracy of this model was tested in the validation cohort using time-dependent area under the curve (tAUC) and calibration curves.

RESULTS:

Most of the patients were aged 65-74 years (44.5%) and the median (interquartile range) follow-up time was 13.9 (8.9-20.2) months. At multivariable analysis, the following were independent predictors of OS in mCRPC patients sites of metastasis (visceral vs. bone metastasis, hazard ratio [HR] 1.24), prostate-specific antigen (HR 1.00), aspartate transaminase (HR 1.01), alkaline phosphatase (HR 1.00), body mass index (HR 0.97), and hemoglobin (≥13 g/dl vs. <11 g/dl, HR 0.41; all p < 0.05). A nomogram based on these variables was developed and showed favorable discrimination (tAUC at 12 and 24 months 73% and 72%, respectively) and calibration characteristics on external validation.

CONCLUSION:

A new prognostic model to predict OS of patients with mCRPC undergoing first line chemotherapy was developed. This can help urologists/oncologists in counseling patients and might be useful to better stratify patients for future clinical trials.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Resistentes a la Castración Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male Idioma: En Revista: Prostate Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Resistentes a la Castración Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Male Idioma: En Revista: Prostate Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...