The histopathological parameters affecting biochemical recurrence in radical prostatectomies


Dere Y., Altinboga A., Bal K., Calli A., Ermete M., Sari A. A.

Journal of the College of Physicians and Surgeons Pakistan, vol.27, no.4, pp.213-217, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 4
  • Publication Date: 2017
  • Journal Name: Journal of the College of Physicians and Surgeons Pakistan
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.213-217
  • Ankara Yıldırım Beyazıt University Affiliated: No

Abstract

Objective: To determine the relationship between biochemical recurrence and other histopathological factors in prostate cancer. Study Design: Analytical study. Place and Duration of Study: Pathology and Urology Departments, Izmir Ataturk Training and Research Hospital, between 2001 - 2013. Methodology: 117 cases diagnosed with prostatic adenocarcinoma and treated by radical prostatectomy were reviewed retrospectively for histopathological features; whereas, other prognostic findings were noted. PSA levels and many other histopathological parameters were assessed in order to put forth their effect on biochemical recurrence. Results: PSA level (p < 0.001), tumor volume (p < 0.001), Gleason score (p < 0.001), extraprostatic extension (p < 0.001), perineural invasion (p < 0.001), ganglion involvement (p=0.040), vascular invasion (p < 0.001), positive surgical margins (p < 0.001), presence of tertiary pattern (p=0.004) and the involvement of the seminal vesicles (p < 0.001) were found to be statistically related to the pathological stage. Age, perineural invasion, high grade tertiary pattern, intraluminal mucin, collagenous micronodules and foamy cytoplasmic changes were unrelated to recurrence. Conclusion: Histopathological features can be helpful in predicting prognosis in prostatic adenocarcinomas. However some of the histopathological factors such as intraluminal mucin and foamy cytoplasmic changes may not reflect high recurrence.