Abstract
Castration-resistant prostate cancer (CRPC) remains an incurable and lethal malignancy. The development of new CRPC treatment strategies is strongly impeded by the scarcity of representative, scalable and transferable preclinical models of advanced, androgen receptor (AR)-driven CRPC. Here, we present contemporary patient-derived xenografts (PDXs) and matching PDX-derived organoids (PDXOs) from CRPC patients who had undergone multiple lines of treatment. These models were comprehensively profiled at the morphologic, genomic (n = 8) and transcriptomic levels (n = 81). All are high-grade adenocarcinomas that exhibit copy number alterations and transcriptomic features representative of CRPC patient cohorts. We identified losses of PTEN and RB1, MYC amplifications, as well as genomic alterations in TP53 and in members of clinically actionable pathways such as AR, PI3K and DNA repair pathways. Importantly, the clinically observed continued reliance of CRPC tumors on AR signaling is preserved across the entire set of models, with AR amplification identified in four PDXs. We demonstrate that PDXs and PDXOs faithfully reflect donor tumors and mimic matching patient drug responses. In particular, our models predicted patient responses to subsequent treatments and captured sensitivities to previously received therapies. Collectively, these PDX-PDXO pairs constitute a reliable new resource for in-depth studies of treatment-induced, AR-driven resistance mechanisms. Moreover, PDXOs can be leveraged for large-scale tumor-specific drug response profiling critical for accelerating therapeutic advances in CRPC.
Original language | English |
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Article number | 3632 |
Journal | Cells |
Volume | 11 |
Issue number | 22 |
DOIs | |
Publication status | Published - Nov 2022 |
Bibliographical note
Funding Information:This research was supported by the World Institute of Kimchi (KE2102-2-2 and KE2201-1), and funded by the Ministry of Sciences and ICT, Republic of Korea.
Funding Information:
This work was supported by the Translational Research Networks for Prostate Cancer (TransPot and proEVLifeCycle) and was funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 721746 (W.M.v.W.) and No 860303 (G.W.J.). Financial support was also provided by the Movember Foundation, as part of the Global Action Plan 1 (GAP1) PDX project (W.M.v.W.). Funding for the DNA SNP array was partly provided by Stichting Urologisch Wetenschappelijk Onderzoek (G.W.J.). The Opera Phenix High Content Screening System within the Cancer Treatment Screening Facility (CTSF) was funded by the Daniel den Hoed Foundation.
Publisher Copyright:
© 2022 by the authors.