10/20/2026
In patients with undergoing , mathematical biomarkers derived from first-cycle prostate-specific antigen ( ) dynamics predicted time to progression and overall survival, while standard PSA metrics did not. These findings indicate that routine clinical data may support more individualized treatment scheduling and patient stratification.
This retrospective modeling and validation study uses clinical trial data to develop mathematical biomarkers that predict outcomes of patients with prostate cancer undergoing adaptive therapy.