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A nomogram predicting prostate cancer-specific mortality after radical prostatectomy.

Christopher R Porter1, Nazareno Suardi, Umberto Capitanio

  • 1Department of Urology, Virginia Mason Medical Center, Seattle, Wash, USA.

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A new model predicts prostate cancer mortality up to 20 years post-radical prostatectomy (RP). This tool helps identify patients at risk for better follow-up and treatment adjustment.

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Area of Science:

  • Urology
  • Oncology
  • Biostatistics

Background:

  • Radical prostatectomy (RP) is a primary treatment for organ-confined prostate cancer (PCa).
  • Predicting long-term PCa-specific mortality after RP is crucial for patient management.
  • Disease-free interval (DFI) is a key factor influencing survival outcomes.

Purpose of the Study:

  • To develop and validate a predictive model for PCa-specific mortality up to 20 years post-RP.
  • To incorporate DFI into mortality predictions.
  • To aid in tailoring patient follow-up and secondary treatment strategies.

Main Methods:

  • Utilized Cox regression and competing risks analyses on data from 752 patients treated with RP.
  • Identified independent predictors of PCa-specific mortality.
  • Developed a nomogram incorporating RP Gleason sum, pT stage, adjuvant radiotherapy, age at RP, and lymph node dissection status.

Main Results:

  • The nomogram demonstrated predictive accuracy for PCa-specific mortality at 5, 10, 15, and 20 years post-RP (ranging from 75.0% to 83.8%).
  • RP Gleason sum, pT stage, adjuvant radiotherapy, and age at RP were significant independent predictors.
  • Actuarial PCa-specific survival rates at 5, 10, 15, and 20 years were 99.0%, 95.5%, 90.9%, and 85.7%, respectively.

Conclusions:

  • Approximately 20% of men undergoing RP may die from PCa within 20 years.
  • The developed nomogram effectively identifies individuals at higher risk of PCa-specific mortality.
  • Nomogram predictions can guide personalized follow-up schedules and secondary therapy decisions.