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What defines intermediate-risk prostate cancer? Variability in published prognostic models
Scott G Williams1, Jeremy L Millar, Michael J Dally
1William Buckland Radiotherapy Centre, The Alfred Hospital, Melbourne, Victoria, Australia. scott.williams@wbrc.org.au
International Journal of Radiation Oncology, Biology, Physics
|December 31, 2003
Summary
Prognostic models for intermediate-risk prostate cancer show significant variation in predicting outcomes. Recursive partitioning analysis using PSA and Gleason score offers a promising approach for better risk stratification.
Area of Science:
- Oncology
- Urology
- Radiotherapy
Background:
- Accurate risk stratification is crucial for optimizing treatment strategies in prostate cancer.
- Existing prognostic models for intermediate-risk prostate cancer often lack precision.
- External beam radiotherapy is a common treatment modality for localized prostate cancer.
Purpose of the Study:
- To evaluate the effectiveness of various prognostic models in defining intermediate-risk prostate cancer.
- To compare the performance of published models against an institutional empiric model.
Main Methods:
- Analysis of 256 men with prostate adenocarcinoma treated with radiotherapy alone.
- Biochemical failure-free survival (bFFS) assessed using univariate, multivariate, and recursive partitioning analyses.
- Comparison of institutional risk classification with published prognostic models.
Main Results:
- Overall 5-year bFFS was 46.8%. Institutional criteria yielded 5-year bFFS of 77.8% (low), 51.1% (intermediate), and 33.8% (high risk).
- Significant variability observed in 5-year bFFS for intermediate-risk groups across models (38.1%–51.1%).
- Recursive partitioning analysis identified risk categories based on PSA and Gleason score.
Conclusions:
- Published prognostic models demonstrate considerable variation in performance when applied to local data.
- PSA and biopsy Gleason score remain key prognostic factors for prostate cancer.
- Further research is needed to enhance prognostic model performance, especially for intermediate-risk disease.