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Updated: Jun 25, 2025

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A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
13.1K
Expert Perspectives on Controversies in Castration-Sensitive Prostate Cancer Management: Narrative Review and Report
E David Crawford1, Alan H Bryce2, Maha H Hussain3
1Department of Urology, University of California San Diego, La Jolla, California.
JU Open Plus
|May 22, 2024
Summary
Advances in castration-sensitive prostate cancer (CSPC) management include gene expression classifiers, AI, advanced imaging, and combination therapies. Further research is needed to integrate these technologies for optimal patient outcomes.
Area of Science:
- Oncology
- Urology
Background:
- Castration-sensitive prostate cancer (CSPC) presents complex clinical challenges with evolving management strategies.
- Clinicians face numerous questions regarding the optimal, individualized treatment of CSPC due to diverse options.
Purpose of the Study:
- To address controversies and uncertainties in prostate cancer management.
- To identify areas of expert agreement and disagreement on CSPC treatment.
Main Methods:
- Convened a multidisciplinary panel at the US Prostate Cancer Conference (USPCC).
- Experts in urology, medical oncology, radiation oncology, and nuclear medicine participated.
- Sessions focused on key areas of controversy, with expert Q&A to identify consensus and divergence.
Main Results:
- Endorsed gene expression classifiers and artificial intelligence (AI) for risk stratification and treatment selection.
- Recommended advanced imaging for specific patient groups, including those with localized unfavorable disease or biochemical recurrence.
- Supported doublet or triplet therapy for metastatic CSPC (mCSPC) and considered radiation therapy for select mCSPC patients.
Conclusions:
- CSPC is a heterogeneous disease requiring careful management to avoid undertreatment or overtreatment.
- Further validation and clinical integration of novel technologies like genomics, AI, and advanced imaging are crucial for optimizing CSPC patient outcomes.
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