Related Experiment Video
Updated: Jan 25, 2026

Author Spotlight: Investigating the Mechanisms and Inducing Models of Polycystic Ovary Syndrome
Published on: July 5, 2024
Predictive factors for abiraterone withdrawal syndrome
S Almendros1, M A Berenguer-Francés2, F Ferrer-González2
1Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, España; Servicio de Oncología Radioterápica, Institut Català d'Oncologia - L'Hospitalet, L'Hospitalet de Llobregat, Barcelona, España.
Introduction And Objective:
Abiraterone withdrawal syndrome (AWS) is characterized by a transient decrease in the PSA after abiraterone acetate (AA) treatment discontinuation in patients diagnosed with metastatic castration-resistant prostate cancer (mCRPC). The aim of our study is to identify the possible predictive factors of AWS at diagnosis.
Materials And Methods:
We performed a retrospective study of 70 patients treated with AA at the Institut Català d'Oncologia - L'Hospitalet between 2015 and 2017.
Results:
11 patients presented AWS. The mean age at diagnosis was 65.73 years and the mean age of presentation was 74.18 years. Patients were in the ninth treatment cycle. The median PSA was: 30.5ng/ml at diagnosis, 33.24ng/ml in the AWS, and 15.78ng/ml before starting another treatment. The median follow-up period after AWS was 8.2 months. The predictive factors of AWS would be: high PSA (p=.002), ISUP≥4 (p=.002) and stage IV at diagnosis (p<.001). Patients with a T stage present high risk, but without statistical significance. An AUC of 0.84 was obtained, with a 95% CI between 0.77 and 0.92 (p<.001).
Conclusions:
The incidence of AWS is not negligible, describing prolonged responses after AA withdrawal, including the possibility of increased overall survival. These results could entail new treatment schemes for mCRPC.
Related Concept Videos
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Transcription Factors
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Factors Affecting Solubility

