Abstract B40: Mouse clinical trials: integrating PDX models of sarcoma subtypes with genomics to replicate patient responses to cancer therapeutics
Authors: Amanda Katz, Raphael E. Pollock, Leonard H. Wexler, Carlos Rodriguez-Galindo, Jonathan C. Trent, Robert Maki, Jennifer Jaskowiak, Lindsay Ryland, Daniel Ciznadija, Angela Davies, Keren Paz
Journal: Clinical Cancer Research (2016)

Abstract Objective: Sarcomas are clinically and genetically heterogeneous tumors that are often difficult to treat. Patient-derived xenograft (PDX or TumorGraft) models have been shown to accurately reflect the characteristics of patient tumors and may be useful tools for developing personalized treatment strategies and deployment in mouse clinical trials assessing novel therapies. We evaluated the accuracy of PDX models in reproducing clinical responses to standard and experimental drugs used for sarcoma treatment. Methods: Fresh tumor tissue (comprising 172 distinct explants) was collected by surgery or biopsy from 150 patients with sarcoma and implanted into immunodeficient mice. Tumors successfully engrafting were screened using next-generation sequencing technology to identify key genomic alterations with therapeutic implications. PDX sensitivity to standard of care and experimental agents was evaluated and tumor growth inhibition/regression values and clinical RECIST outcomes determined. Drug screening results were correlated with individual patient outcomes. Results: Of the 172 implanted tumors, 145 have completed the implantation process, with 86 (59%) successfully establishing a PDX model. Engraftment rate depended on sarcoma subtype and specimen origin (surgical explant versus biopsy). Next generation sequencing of models from major sarcoma subtypes (Ewing sarcoma, leiomyosarcoma, liposarcoma, osteosarcoma, and rhabdomyosarcoma) highlighted alterations in 454 genes, including those informing treatment selection such as PIK3CA, MET, and CDK4. A total of 26 PDX models from 25 patients across the major sarcoma subtypes were screened in 148 drug tests employing 64 FDA-approved drugs/combinations such as ifosfamide, and gemcitabine/docetaxel, and 26 experimental therapies in clinical trial. In 13/13 (100%) cases with available data, a significant correlation between patient clinical response and PDX model outcome was noted (p=0.0004; Fisher's exact test). Conclusions: Given the close match between patient clinical responses and PDX model outcomes, these results validate the concept of mouse clinical trials for determining the efficacy of novel therapies in sarcoma prior to broad application in expensive human trials. Moreover, the retention of alterations in key genes influencing therapeutic decision-making suggests a use for PDX models in functionally validating genomic hypotheses in a pre-clinical setting. Citation Format: Amanda Katz, Raphael E. Pollock, Leonard H. Wexler, Carlos Rodriguez-Galindo, Jonathan C. Trent, Robert Maki, Jennifer Jaskowiak, Lindsay Ryland, Daniel Ciznadija, Angela Davies, Keren Paz. Mouse clinical trials: integrating PDX models of sarcoma subtypes with genomics to replicate patient responses to cancer therapeutics. [abstract]. In: Proceedings of the AACR Special Conference: Patient-Derived Cancer Models: Present and Future Applications from Basic Science to the Clinic; Feb 11-14, 2016; New Orleans, LA. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(16_Suppl):Abstract nr B40.