4.7 Article

An Engineered Paper-Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microenvironmental Gradients on Cell Phenotype

Journal

ADVANCED HEALTHCARE MATERIALS
Volume 12, Issue 14, Pages -

Publisher

WILEY
DOI: 10.1002/adhm.202201846

Keywords

3D model; fibroblasts; hypoxia; patient-derived organoids; tissue architecture; tumor microenvironment

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The spatial configuration of cells in the tumor microenvironment affects cancer and fibroblast cell phenotypes, leading to the clinical challenges of tumor heterogeneity and therapeutic resistance. In this study, a versatile system using pancreatic ductal adenocarcinoma as a model is described to investigate the impact of tissue architecture on cell phenotype. High dimensional characterization using CyTOF reveals distinct hypoxia and proliferation gradients in tissue architecture, and phenotypic markers for both cell types are also graded in a way that cannot be explained by hypoxia or coculture alone.
The spatial configuration of cells in the tumor microenvironment (TME) affects both cancer and fibroblast cell phenotypes contributing to the clinical challenge of tumor heterogeneity and therapeutic resistance. This is a particular challenge in stroma-rich pancreatic ductal adenocarcinoma (PDAC). Here, a versatile system is described to study the impact of tissue architecture on cell phenotype using PDAC as a model system. This fully human system encompassing both primary pancreatic stellate cells and primary organoid cells using the TRACER platform to allow the creation of user-defined TME architectures that have been inferred from clinical PDAC samples and are analyzed by CyTOF to characterize cells extracted from the system. High dimensional characterization using CyTOF demonstrates that tissue architecture leads to distinct hypoxia and proliferation gradients. Furthermore, phenotypic markers for both cell types are also graded in ways that cannot be explained by either hypoxia or coculture alone. This demonstrates the importance of using complex models encompassing cancer cells, stromal cells, and allowing control over architecture to explore the impact of tissue architecture on cell phenotype. It is anticipated that this model will help decipher how tissue architecture and cell interactions regulate cell phenotype and hence cellular and tissue heterogeneity.

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