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Use of percent positive biopsy cores to predict prostate cancer–specific death in patients treated with dose-escalated radiotherapy
- Source :
- Journal of Clinical Oncology. 29:35-35
- Publication Year :
- 2011
- Publisher :
- American Society of Clinical Oncology (ASCO), 2011.
-
Abstract
- 35 Background: The percent of positive biopsy cores (PPC)-considered a surrogate of local disease burden-has been shown to predict biochemical failure (BF) after external beam radiation therapy (EBRT), but most series have used conventional dose RT. Dose-escalated RT has been demonstrated to improve prostate cancer outcomes, but the value of PPC is unclear in the setting of RT doses high enough to decrease local failure. Methods: A retrospective evaluation was performed of 651 patients treated to ≥75 Gy with biopsy core information available. Patients were stratified for PPC by quartile, and differences by quartile in BF, freedom from metastasis (FFM), cause specific survival (CSS), and overall survival (OS) were assessed using the log-rank test. Receiver operated characteristic (ROC) curve analysis was utilized to determine an optimal cut-point for PPC. Cox proportional hazards multivariate regression was utilized to assess the impact of PPC on clinical outcome when adjusting for risk group. Results: With median follow-up of 62 months the median number of cores sampled was 7 (IQR: 6–12) with median PPC in 38% (IQR: 17%-67%). On log-rank test, BF, FFM, and CSS were all associated with PPC (p < 0.005 for all), with worse outcomes only for the highest PPC quartile (>67%). There was no observed difference in OS based upon PPC. ROC curve analysis confirmed a cut-point of 67% as most closely associated with CSS (p67% increased the risk for BF (p Conclusions: For patients treated with dose-escalated RT, the PPC adds prognostic value but at a higher cut-point then previously utilized. Patients with PPC >67% remain at increased risk for failure even with dose-escalated EBRT and may receive benefit from further intensification of therapy. No significant financial relationships to disclose.
Details
- ISSN :
- 15277755 and 0732183X
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Oncology
- Accession number :
- edsair.doi...........bb157020ce6cf0267158a89e88813746
- Full Text :
- https://doi.org/10.1200/jco.2011.29.7_suppl.35