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 language | English |
|---|---|
| Pages (from-to) | 1871-1878 |
| Number of pages | 8 |
| Journal | Journal of Cancer Research and Clinical Oncology |
| Volume | 143 |
| Issue number | 9 |
| DOIs | |
| State | Published - 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)
-
SDG 3 Good Health and Well-being
Keywords
- Models
- Prognosis
- Prostatectomy
- Prostatic neoplasms
- Risk
- Risk assessment
- Statistical
Fingerprint
Dive into the research topics of 'Heterogeneous oncologic outcomes according to surgical pathology in high-risk prostate cancer: implications for better risk stratification and preoperative prediction of oncologic outcomes'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver