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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 6

2D well-based assays cannot detect the negative effect of hypoxia on the cytotoxicity of engineered T cells.

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2D well-based assays cannot detect the negative effect of hypoxia on the...
(A) Normalized percentage of killed target cells when retroV-TCRe (left) or mRNA-TCRe (right) T cells were cocultured with luciferase+ HepG2-Env target cells under specified conditions. Results were normalized to data obtained under typical in vitro assay conditions. Data shown were compiled from experiments with 2 different E/T ratios performed in duplicates, as denoted in Supplemental Figure 2. Statistical significance was evaluated with 2-way ANOVA with Tukey’s multiple comparison test. (B) Representative images of 3D microdevices in which mRNA TCRe–T cells were cultured overnight with HepG2-Env target cells in the respective conditions. Green spheres denote the living HepG2-Env target cells, while red spheres denotes the mRNA TCRe–T cells. The number of T cells present in the gel at the end of the experiment (each dot represents the number of T cells in each microdevice) and the position of all gel-invading T cells in each condition (each dot represent the position of a T cell) are shown. Statistical significance was evaluated with 2-tailed t test.

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