
Mathematical Biomarkers From First-Cycle PSA Dynamics May Predict Adaptive Therapy Outcomes in Prostate Cancer
A retrospective modeling study of 53 prostate cancer patients found that mechanism-based biomarkers derived from first-cycle PSA dynamics predicted time to progression and survival under adaptive therapy, outperforming standard PSA metrics. The approach could support personalized treatment scheduling.

















