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A 3D microfluidic model for preclinical evaluation of TCR-engineered T cells against solid tumors
Andrea Pavesi, … , Roger D. Kamm, Antonio Bertoletti
Andrea Pavesi, … , Roger D. Kamm, Antonio Bertoletti
Published June 15, 2017
Citation Information: JCI Insight. 2017;2(12):e89762. https://doi.org/10.1172/jci.insight.89762.
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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 2

Engineered HBV-specific T cells invade and specifically kill HBV antigen–expressing HCC cells.

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Engineered HBV-specific T cells invade and specifically kill HBV antigen...
(A) Timeline of notable events during a representative 11-hour live-imaging assay (~7-minute acquisition intervals; experiment performed twice), in which engineered HBV Env183-191–specific T cells (TCRe–T cells) were introduced into the device containing GFP-expressing HepG2-Env cells cultured in a 3D collagen matrix. Engineered T cells were labeled with CellTracker BMQC (blue), while DRAQ7 (red) was added in the culture media. HepG2-Env target cells are shown in green (GFP). The magnified maximum intensity projections of a single HepG2-Env cell are shown at the indicated times. Scale bar: 10 μM. (B) Representative maximum intensity projections of a region of the collagen gel showing HepG2-Env cells at 0 and 15 hours after incubation alone, with the addition of 10% DMSO, or with engineered TCRe–T cells. The mean fluorescence intensity (MFI) of GFP and DRAQ7 of each HepG2-Env target cell identified in Imaris was plotted at 0 and 15 hours after incubation at the respective conditions. Devices in which HepG2-Env cells were cultured with DMSO (red) were plotted in the background for reference, with the percentage of dead target cells quantified in devices with (blue) or without (green) the addition of TCRe–T cells at time points shown. The graph shows the percentage of killing quantified for the respective conditions; each point represents an individual experiment. Original magnification, ×10. (C) Representative maximum intensity projections of a region of the collagen gel showing HepG2-Env cells at 0 and 15 hours after incubation with engineered TCRe–T cells or Core18-27–specific T cells (TCRc–T cells). The mean percentage of killed target cells after overnight incubation without T cells or with engineered TCRe- or TCRc- specific T cells at the antigen-specific E/T ratios are shown as bars; each point represents an individual experiment. All experiments were repeated in at least 3 microfluidic devices. The amount of target cells killed when TCRe–T cells were analyzed using a 2D well-based killing assay is shown for comparison. Original magnification, ×10. (D) 41 secreted factors were quantified using multiplex bead-based assay. Factors with detected concentrations less than 10 pg/ml in all samples were removed from analysis. The mean concentration of secreted factors present in the supernatant retrieved from microdevices in which only HepG2-Env target cells were seeded (n = 4) or cocultured with retroviral-transduced TCRe–T cells (n = 2).

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