PO.TB04.04 · 肿瘤生物学

Integrating patient-derived systems to model metastatic prostate cancer and decode therapy resistance

海报缩略图:Integrating patient-derived systems to model metastatic prostate cancer and decode therapy resistance
编号 6078 展板 24 🕑 4/21 02:00–05:00 📍 Section 26 主讲 Agustina Sabater, BS
分会场 In Vivo Models 2: Genetically Engineered Mouse Models, PDXs, Syngeneic Models
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作者与单位 Authors & Affiliations

Agustina Sabater1, Pablo Sanchis2, Jun Yang3, Jiabin Dong3, Peter Shepherd3, Nicolas Anselmino3, Christopher J. Logothetis3, Geraldine Gueron4, Estefania Labanca3

1Universidad de Buenos Aires (UBA) - IQUIBICEN - CONICET - Universidad Argentina de la Empresa (UADE), CABA, Argentina. UT MD Anderson Cancer Center, Houston, TX,2Universidad de Buenos Aires (UBA) - IQUIBICEN - CONICET - Universidad Argentina de la Empresa (UADE), Buenos Aires, Argentina,3UT MD Anderson Cancer Center, Houston, TX,4Universidad de Buenos Aires (UBA) - IQUIBICEN - CONICET, Buenos Aires, Argentina

摘要 Abstract

Prostate cancer (PCa) lethality is driven by treatment-refractory disease and skeletal metastases, yet progress in understanding these processes has been hindered by the lack of physiologically relevant models. To address this gap, we developed an integrated platform of MD Anderson PCa Patient-Derived Xenografts (MDA PCa PDXs) and PDX-derived organoids, that recapitulate the heterogenous biology of advanced PCa. These models enable genetic manipulation and mechanistic interrogation of metastasis, therapeutic resistance and microenvironment influence. Our PDX series comprises over 150 models with molecular characterization. When engrafted intrafemorally, these models reproduce hallmark osteogenic phenotypes observed clinically, as monitored by multi-modal imaging and bone histomorphometry analyses. Particularly, MDA PCa PDX 118b, a double-negative PDX, generates bone even when injected subcutaneously. Moreover, we performed intracardiac injections of luciferase engineered cell lines and PDXs. This approach allowed us to explore their metastatic potential and tropism using in vivo imaging systems (IVIS), providing a model to study therapeutic approaches that could mitigate progression. Through cross-species molecular profiling and spatial analysis, we contrasted subcutaneous and intrabone tumors. This revealed how epithelial-stromal interactions and transcriptional reprogramming at the bone-tumor interface drive niche-specific adaptations. Building on these observations, we investigated molecular drivers of skeletal colonization. We have previously identified Fibroblast Growth Factor Receptor 1 ( FGFR1 ) signaling as a key driver of skeletal colonization. Thus, we tested Erdafitinib, a pan-FGFR inhibitor, using intrabone PDX models with different FGFR status. We observed significant changes on both tumor growth and, mainly, in bone compartment architecture, highlighting the importance of the metastatic niche in supporting tumor growth. Beyond skeletal colonization, we also sought to model relapse trajectories. Using relapsed PDXs, we uncovered metabolic rewiring upon castration resistance, including enhanced ketone body utilization. In our in vitro and in vivo models, targeting the ketogenic enzyme ACAT1 emerged as a promising strategy to counteract therapy-induced metabolic plasticity. Together, these therapeutic insights complement our platform's broader utility. Collectively, these models bridge clinical observations with experimental systems, enabling functional studies of metastatic tropism and therapeutic escape. The combination of PDXs, organoids, different engraftment approaches, and in vitro studies, integrated with ongoing clinical feedback, iteratively refines experimental strategies and enhances model accuracy of disease complexity.
利益披露 Disclosure
A. Sabater, None.. P. Sanchis, None.. J. Yang, None.. J. Dong, None.. P. Shepherd, None.. N. Anselmino, None.. C. J. Logothetis, None.. G. Gueron, None.. E. Labanca, None.

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