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A 3D microfluidic model for preclinical evaluation of TCR-engineered T cells against solid tumors
Andrea Pavesi, Anthony T. Tan, Sarene Koh, Adeline Chia, Marta Colombo, Emanuele Antonecchia, Carlo Miccolis, Erica Ceccarello, Giulia Adriani, Manuela T. Raimondi, Roger D. Kamm, Antonio Bertoletti
Andrea Pavesi, Anthony T. Tan, Sarene Koh, Adeline Chia, Marta Colombo, Emanuele Antonecchia, Carlo Miccolis, Erica Ceccarello, Giulia Adriani, Manuela T. Raimondi, Roger D. Kamm, Antonio Bertoletti
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Resource and Technical Advance Immunology Therapeutics

A 3D microfluidic model for preclinical evaluation of TCR-engineered T cells against solid tumors

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Abstract

The tumor microenvironment imposes physical and functional constraints on the antitumor efficacy of adoptive T cell immunotherapy. Preclinical testing of different T cell preparations can help in the selection of efficient immune therapies, but in vivo models are expensive and cumbersome to develop, while classical in vitro 2D models cannot recapitulate the spatiotemporal dynamics experienced by T cells targeting cancer. Here, we describe an easily customizable 3D model, in which the tumor microenvironment conditions are modulated and the functionality of different T cell preparations is tested. We incorporate human cancer hepatocytes as a single cell or as tumor cell aggregates in a 3D collagen gel region of a microfluidic device. Human T cells engineered to express tumor-specific T cell receptors (TCR–T cells) are then added in adjacent channels. The TCR–T cells’ ability to migrate and kill the tumor target and the profile of soluble factors were investigated under conditions of varying oxygen levels and in the presence of inflammatory cytokines. We show that only the 3D model detects the effect that oxygen levels and the inflammatory environment impose on engineered TCR–T cell function, and we also used the 3D microdevice to analyze the TCR–T cell efficacy in an immunosuppressive scenario. Hence, we show that our microdevice platform enables us to decipher the factors that can alter T cell function in 3D and can serve as a preclinical assay to tailor the most efficient immunotherapy configuration for a specific therapeutic goal.

Authors

Andrea Pavesi, Anthony T. Tan, Sarene Koh, Adeline Chia, Marta Colombo, Emanuele Antonecchia, Carlo Miccolis, Erica Ceccarello, Giulia Adriani, Manuela T. Raimondi, Roger D. Kamm, Antonio Bertoletti

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Figure 3

Different preparations of engineered T cells have varying antitumor responses.

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Different preparations of engineered T cells have varying antitumor resp...
(A) The mean percentage of killed target cells when different engineered T cells were seeded into the microdevices in the presence of exogenous IL-2 is shown in blue. The mean percentage of killed target cells normalized to the frequency of successfully engineered T cells is shown in red. Each dot represents a single experiment, and devices without engineered T cells or seeded with nonelectroporated T cells were included as controls. Statistical significance was evaluated with 2-tailed t test. (B) The normalized mean percentage of killed target cells (similar to above) when different engineered T cells were seeded into the microdevices in the presence or absence of exogenous IL-2. Each dot represents a single experiment. Statistical significance was evaluated with 2-tailed t test. (C) Heatmap of the relative concentration of soluble factors detected in the supernatants collected from microdevices, with indicated engineered T cells and IL-2 supplementation, and dot plots showing the summary of the concentration of detected soluble factors. Factors with detected concentrations of less than 10 pg/ml in all samples were removed from analysis. Each column represents a single experiment.

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ISSN 2379-3708

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