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Updated: Jan 22, 2026

Generation of Prostate Cancer Patient Derived Xenograft Models from Circulating Tumor Cells
Published on: October 20, 2015
Detecting predictive androgen receptor modifications in circulating prostate cancer cells.
Julie Steinestel1,2, Manuel Luedeke1, Annette Arndt3
1Clinic of Urology, University Hospital Ulm, Ulm, Germany.
Detecting androgen receptor (AR) modifications in circulating tumor cells (CTCs) can predict prostate cancer treatment response. This blood-based test identifies AR variants and mutations, guiding therapy adjustments for better patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Androgen receptor (AR) modifications are a key mechanism of resistance to androgen deprivation therapy (ADT) in prostate cancer.
- Assessing these AR modifications is crucial for guiding treatment decisions, but obtaining tumor samples can be challenging.
Purpose of the Study:
- To develop and evaluate a method for simultaneously detecting common AR modifications (AR-V7 splice variant and AR point mutations) in circulating tumor cells (CTCs).
- To assess the clinical utility of detecting AR modifications in CTCs for predicting treatment response in prostate cancer patients with PSA progression.
Main Methods:
- A single-tube assay was developed combining immunomagnetic isolation of CTCs with quantitative real-time PCR and DNA pyrosequencing.
- The assay was prospectively applied to 47 patients with prostate cancer experiencing PSA progression.
Main Results:
- AR modifications were detected in 51% of patients with detectable CTCs.
- Seventeen patients had the AR-V7 splice variant, one had a p.T878A mutation, and one had both AR-V7 and a p.H875Y mutation.
- The estimated positive predictive value for therapy response/non-response based on CTC-AR status was approximately 94%.
Conclusions:
- Simultaneous detection of AR-V7 and AR point mutations in CTCs is feasible and provides valuable information for treatment selection.
- This approach has the potential to significantly improve prostate cancer treatment by enabling molecularly-informed therapy switches.
- The study estimated a substantial effect size (~27%) for molecularly-guided therapy adjustments, supporting its use in clinical trials.
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