Abstract

Abstract Patient-derived xenograft models (PDX) provide opportunities to evaluate efficacy, pharmacodynamics, response durability, and resistance mechanisms in greater details than traditionally possible with sampling of patient tumors. When PDX models are integrated with patients enrolled in clinical trials, or treated with novel agents, there are opportunities to interrogate aspects of cancer biology not traditionally evaluable, while maintaining clinical relevance. This presentation will explore the strengths and limitations of the models, with examples on how these models are being integrated into clinical trials, validation efforts, and novel insights derived from this approach. The concept of a co-clinical trial has been variously defined, including a definition proposed by the NCI as parallel or sequential trials of combination therapy in patients and in mouse and human-in-mouse models of appropriate genotypes to represent the patients. This concept is being extended for PDX models to incorporate tumor models derived from the same patients participating in the clinical trial, both with a goal of improving translational interrogation of the novel agent efficacy as well as emerging efforts to use the PDX models to guide patient therapy. Validation of the PDX models for treatment response/regression will be demonstrated, including recently completed clinical trials utilizing inhibitors of BRAF and MEK with a comparison of the response of the matched PDX models to radiographic measurements from the treated patients. Cohort based validation will be demonstrated through examples with EGFR targeted therapy and comparison to randomized clinical trial results. Limitations of these approaches will be described. PDX models from clinical trials have been demonstrated to model and replicate mechanisms of resistance in some settings, and examples from colorectal and lung cancer will be used to demonstrate this. Resistance of lung cancer to EGFR tyrosine kinase inhibitors is being explored on PDXs obtained from post-progression biopsies. Tumor heterogeneity as a mechanism of resistance has been successfully modeled in BRAF-mutant colorectal cancer, and has been integrated into prospective clinical trials. Finally, efforts to integrate PDX models as predictors of treatment response are described. These include efforts to use matched PDX models to guide treatment decisions in patients as part of prospective clinical trials. Regulatory, logistic, and biologic limitations of such efforts will be discussed. Citation Format: Scott Kopetz. Opportunities for integration of PDX models into clinical trials. [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 IA21.

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