Natural history and risk-stratification of biochemical recurrence in prostate cancer treated with definitive radiotherapy.

348 Background: Biochemical recurrence (BCR) of prostate cancer following radiation therapy often does not result in clinically significant events, but a subset of patients may be at higher risk of developing metastatic disease or death. Identifying these patients is critical for clinical decision making, but unlike in the post-prostatectomy setting, no method has been externally validated for BCR after radiation therapy. This study characterized outcomes after post-radiation BCR and validated a proposed risk stratification heuristic. Methods: This was a retrospective, multicenter, nationwide cohort study of patients having post-radiation BCR treated in the United States Veterans Administration Health System. High-risk post-radiation BCR was defined as either Gleason score ≥8 or BCR occurring within 18 months of radiation therapy. BCR was defined as post-treatment PSA greater or equal to PSA nadir + 2 ng/ml, initiation of androgen deprivation therapy distinct from the initial treatment course, or development of metastatic disease, whichever occurred first. Results: Median time to BCR was 42.5 months (interquartile range 22.9-73.0). Among 7,126 patients who experienced BCR, 35.5% of patients developed metastatic disease and 17.4% died of prostate cancer at 10 years. 38.5% of patients had at least one qualifying high-risk feature of whom 23.3% had high-risk recurrence based on time to recurrence alone, 57.6% based on Gleason/Grade Group alone, and 19.1% based on both criteria. High-risk BCR resulted in higher 5-year rates of metastatic disease (42.0% versus 24.5%, hazard ratio (HR) 1.83, 95% confidence interval (CI) 1.69-1.98, p < 0.001), death from prostate-cancer (18.7% versus 8.78%, HR 1.82, 95% CI 1.63-2.03, p < 0.001), and death from all causes (37.1% versus 30.8% rates, HR 1.18, 95% CI 1.11-1.26, p < 0.001). Conclusions: A simple, two-element risk stratification tool using existing clinically data is the first validated tool for identifying patients at risk of metastases or PCSM following post-radiation BCR. Most patients experiencing BCR in this context do not develop metastases or lethal prostate cancer, making such stratification essential for treatment decision-making and refinement of patient populations for clinical trials. Further work remains on risk-adapted therapy intensification.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-02-10
DOI
https://doi.org/10.1200/jco.2025.43.5_suppl.348
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Natural history and risk-stratification of biochemical recurrence in prostate cancer treated with definitive radiotherapy.

Tyler F. Stewart, Brent Shane Rose, Leah N. Deshler, Paul Riviere et al.
Journal of Clinical Oncology
Prostate Cancer Treatment and Research
article

Natural history and risk-stratification of biochemical recurrence in prostate cancer treated with definitive radiotherapy.

Tyler F. Stewart, Brent Shane Rose, Leah N. Deshler, Paul Riviere, Daniel Sabater Minarim, Rana R. McKay, Kellogg Parsons, Juan Javier‐Desloges, Tyler J. Nelson, Kylie Morgan, Matthew P. Banegas
article en

Abstract

348 Background: Biochemical recurrence (BCR) of prostate cancer following radiation therapy often does not result in clinically significant events, but a subset of patients may be at higher risk of developing metastatic disease or death. Identifying these patients is critical for clinical decision making, but unlike in the post-prostatectomy setting, no method has been externally validated for BCR after radiation therapy. This study characterized outcomes after post-radiation BCR and validated a proposed risk stratification heuristic. Methods: This was a retrospective, multicenter, nationwide cohort study of patients having post-radiation BCR treated in the United States Veterans Administration Health System. High-risk post-radiation BCR was defined as either Gleason score ≥8 or BCR occurring within 18 months of radiation therapy. BCR was defined as post-treatment PSA greater or equal to PSA nadir + 2 ng/ml, initiation of androgen deprivation therapy distinct from the initial treatment course, or development of metastatic disease, whichever occurred first. Results: Median time to BCR was 42.5 months (interquartile range 22.9-73.0). Among 7,126 patients who experienced BCR, 35.5% of patients developed metastatic disease and 17.4% died of prostate cancer at 10 years. 38.5% of patients had at least one qualifying high-risk feature of whom 23.3% had high-risk recurrence based on time to recurrence alone, 57.6% based on Gleason/Grade Group alone, and 19.1% based on both criteria. High-risk BCR resulted in higher 5-year rates of metastatic disease (42.0% versus 24.5%, hazard ratio (HR) 1.83, 95% confidence interval (CI) 1.69-1.98, p < 0.001), death from prostate-cancer (18.7% versus 8.78%, HR 1.82, 95% CI 1.63-2.03, p < 0.001), and death from all causes (37.1% versus 30.8% rates, HR 1.18, 95% CI 1.11-1.26, p < 0.001). Conclusions: A simple, two-element risk stratification tool using existing clinically data is the first validated tool for identifying patients at risk of metastases or PCSM following post-radiation BCR. Most patients experiencing BCR in this context do not develop metastases or lethal prostate cancer, making such stratification essential for treatment decision-making and refinement of patient populations for clinical trials. Further work remains on risk-adapted therapy intensification.

Journal of Clinical OncologyVol. 43(5_suppl)
University of Michigan (US), UC San Diego Health System (US), University of California San Diego (US)
U.S. Department of Defense
Openalex Percentile: Top 95%
Prostate Cancer Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.