Corrected area under serum PSA curve as a predictor of survival after chemotherapy for hormone-refractory prostate cancer (HRPC) patients
Background: The rate of serum prostate-specific antigen (PSA) decline during chemotherapy can be used to predict overall survival probability among HRPC patients (pts). Using a pharmacokinetic principle, we were able to define a new potential predictive factor: Corrected Area Under Serum PSA Curve. Methods: We conducted a retrospective analysis to validate the PSA c-AUC concept, defined as total Area Under serum PSA Curve (PSA AUC) value per unit
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