Systematic review explores drug response prediction in prostate cancer using 3D models, indicating significant implications for precision oncology.
Prostate cancer 3D models offer a relevant, patient-specific platform to study tumor biology, predict drug responses, and identify novel biomarkers. While standardization and scalability challenges persist, organoids have a strong potential for integration into precision oncology pipelines.
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Peyrottes et al. (2026) studied this question.
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