Long-Term Oncological Outcomes for Young Men Undergoing Radical Prostatectomy for Localized Prostate Cancer

Biomed Res Int. 2017:2017:9858923. doi: 10.1155/2017/9858923. Epub 2017 Feb 19.

Abstract

Aim. The aim of this study was to describe PCa characteristics and long-term outcomes in young men aged ≤55 years after radical prostatectomy (RP) and to compare them with older men cohort. Methods. Among 2,200 patients who underwent RP for clinically localized PCa at our centre between 2001 and 2015, 277 (10.3%) men aged ≤55 years were identified. All preoperative and pathological parameters were compared between groups. Biochemical progression free survival (BPFS) and disease progression free survival (DPFS) were assessed at 5 and 10 years. Results. Men aged ≤55 years had similar pathological tumor characteristics and biochemical recurrence rate (BCR) compared to their older counterparts. Disease progression rate 2.5% versus 0.4% was higher in older patients (p = 0.026). BPFS rate was not different in both study groups. Estimated 10-year DPFS was 98.8% in younger men compared to 89.2% in their older counterparts (p = 0.031). Multivariate Cox regression showed that Gleason score lymph-nodes and surgical margins status were significant predictors for disease progression. Conclusions. In our cohort, men aged ≤55 years had similar pathological PCa characteristics and BCR rate in comparison with older men. RP can be performed with excellent long-term DPFS results in men with localized PCa at ≤55 years of age.

MeSH terms

  • Adult
  • Aged
  • Cohort Studies
  • Disease Progression
  • Disease-Free Survival
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Grading
  • Neoplasm Recurrence, Local
  • Proportional Hazards Models
  • Prostate-Specific Antigen / blood
  • Prostatectomy / methods*
  • Prostatic Neoplasms / pathology
  • Prostatic Neoplasms / surgery*
  • Surgical Oncology / methods
  • Treatment Outcome
  • Young Adult

Substances

  • Prostate-Specific Antigen