Abstract

Abstract To conduct successful translational research for pancreatic ductal adenocarcinoma (PDAC), it is imperative to have preclinical models that accurately reflect the intricate molecular, genomic, and histological features of the disease. Patient-derived xenografts (PDXs) have emerged as invaluable platforms for studying tumor biology and personalized therapeutic intervention. Here we present a collection of 32 PDAC PDX models established and fully characterized in our institution. This PDAC PDX collection was generated with tissue from both primary and metastatic lesions, comprehensively representing the disease spectrum. Genomic profiling using next-generation sequencing revealed a remarkable concordance between the PDX samples and their original patient tumor tissue. Notably, identifying common driver mutations associated with PDAC further validates the clinical relevance of this PDX collection. Moreover, histopathologic examination confirmed the similarity between PDX tumor samples and their original patient tissue samples. Interestingly, we also optimized a protocol to generate tumoroids from PDAC PDXs. Leveraging the broad spectrum of disease represented in our collection will facilitate addressing critical research questions, identifying novel therapeutic targets, and ultimately improving patient outcomes of PDAC. Citation Format: Mariana Yáñez, Enrique Javier Arenas, Teresa Macarulla, Tian Tian, Joaquín Arribas, Sofía Llorente, Carles Fabregat, Marta Escorihuela, Florian Castet, Jessica Querol, Maria Teresa Salcedo. Characterization of a collection of patient-derived xenograft models for pancreatic ductal adenocarcinoma translational research [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr C060.

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