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Heterogeneous oncologic outcomes according to surgical pathology in high-risk prostate cancer: implications for better risk stratification and preoperative prediction of oncologic outcomes

  • Seung Kwon Choi
  • , Myungsun Shim
  • , Myong Kim
  • , Myungchan Park
  • , Sangmi Lee
  • , Cheryn Song
  • , Hyung Lae Lee
  • , Hanjong Ahn

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: To evaluate the better risk stratification based on surgical pathology, and to predict oncologic outcomes after radical prostatectomy (RP) with a better scoring system in high-risk prostate cancer (PCa) patients. Methods: We evaluated high-risk PCa patients (PSA >20 ng/ml, ≥cT3a, or Gleason score 8–10) who underwent RP between 2007 and 2013 at our institute. We classified patients into three groups according to their pathologic outcomes: favorable (pT2, Gleason score ≤7, and node negative), intermediate (specimen-confined disease (pT2-3a, node negative PCa with negative surgical margins) but not in the favorable group), and unfavorable (the remaining patients). We developed a risk stratification scoring system to predict prognostic outcomes after RP and validated our scoring system to estimate its predictive accuracy. Results: Among a total of 356 patients, 95 (26.7%), 115 (32.3%), and 146 (41%) were in the favorable, intermediate, and unfavorable prognostic groups, respectively. The 5-year biochemical recurrence-free survival rates of the patients in each group were 87.8, 64.6, and 41.4%, respectively. We developed a scoring system based on preoperative PSA, clinical stage, percentage of tumor positive core, and percentage of cores with a Gleason score 8–10. This demonstrated internally and externally validated concordance indices of 0.733 and 0.772, respectively. Conclusions: Using our scoring system, we can predict which patients with high-risk PCa would benefit more from RP. Thus, this system can be used in patient counseling to determine an optimal treatment strategy for high-risk PCa.

Original languageEnglish
Pages (from-to)1871-1878
Number of pages8
JournalJournal of Cancer Research and Clinical Oncology
Volume143
Issue number9
DOIs
StatePublished - 1 Sep 2017

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag Berlin Heidelberg.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Models
  • Prognosis
  • Prostatectomy
  • Prostatic neoplasms
  • Risk
  • Risk assessment
  • Statistical

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