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

Cristina Sánchez-de-Diego, University of Wisconsin Carbone Cancer Center
Ravi Chandra Yada, University of Wisconsin Carbone Cancer Center
Nan Sethakorn, Stritch School of Medicine
Peter G. Geiger, University of Wisconsin School of Medicine and Public Health
Adeline B. Ding, University of Wisconsin Carbone Cancer Center
Erika Heninger, University of Wisconsin Carbone Cancer Center
Fauzan Ahmed, University of Wisconsin School of Medicine and Public Health
María Virumbrales-Muñoz, University of Wisconsin Carbone Cancer Center
Nikolett Lupsa, University of Wisconsin Carbone Cancer Center
Emmett Bartels, University of Wisconsin School of Medicine and Public Health
Kacey Stewart, University of Wisconsin School of Medicine and Public Health
Suzanne M. Ponik, University of Wisconsin Carbone Cancer Center
Marina N. Sharifi, University of Wisconsin Carbone Cancer Center
Joshua M. Lang, University of Wisconsin Carbone Cancer Center
David J. Beebe, University of Wisconsin Carbone Cancer Center
Sheena C. Kerr, University of Wisconsin Carbone Cancer Center

Abstract

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.