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DOI 10.1038/s42003-025-08384-2

Медицинская библиотека · Communications biology · 2025

Engineering the bone metastatic prostate cancer niche through a microphysiological system to report patient-specific treatment response.

Sánchez-de-Diego Cristina, Yada Ravi Chandra, Sethakorn Nan, Geiger Peter G, Ding Adeline B, Heninger Erika, Ahmed Fauzan, Virumbrales-Muñoz María, Lupsa Nikolett, Bartels Emmett, Stewart Kacey, Ponik Suzanne M, Sharifi Marina N, Lang Joshua M, Beebe David J, Kerr Sheena C

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Аннотация

Bone is the most common site of prostate cancer metastasis, leading to significant morbidity, treatment resistance, and mortality. A major challenge in understanding treatment response is the complex, bone metastatic niche. Here, we report the first patient-specific microphysiological system (MPS) to incorporate six primary human stromal cell types found in the metastatic bone niche (mesenchymal stem cells, adipocytes, osteoblasts, osteoclasts, fibroblasts, and macrophages), alongside an endothelial microvessel, and prostate tumor epithelial spheroids in an optimized media that supports their viability and phenotype. We tested two standard of care drugs, darolutamide and docetaxel, in addition to sacituzumab govitecan (SG), currently in clinical trials for prostate cancer, demonstrating that the MPS accurately replicates androgen response sensitivity and captures stromal microenvironment-mediated resistance. This advanced MPS provides a robust platform for investigating the biological mechanisms of treatment response and for identification and testing of therapeutics to advance patient-specific MPS towards personalized clinical-decision making.

Для цитирования: Sánchez-de-Diego Cristina, Yada Ravi Chandra, Sethakorn Nan, Geiger Peter G, Ding Adeline B, Heninger Erika, Ahmed Fauzan, Virumbrales-Muñoz María, Lupsa Nikolett, Bartels Emmett, Stewart Kacey, Ponik Suzanne M, Sharifi Marina N, Lang Joshua M, Beebe David J, Kerr Sheena C. Engineering the bone metastatic prostate cancer niche through a microphysiological system to report patient-specific treatment response.. Communications biology. 2025. DOI: 10.1038/s42003-025-08384-2.

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