Three-Dimensional Modeling of Solid Tumors and Their Microenvironment to Evaluate T Cell Therapy Efficacy In Vitro

Ronja Pscheid*, Esther Drent, Judith Wienke, Josephine G.M. Strijker, Mark Throsby, Jan J. Molenaar

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Immunotherapy development for solid tumors remains challenging, partially due to a lack of reproducible, cost-effective in vitro three-dimensional (3D) models to mimic the heterogeneous and complex tumor microenvironment. Here, we investigate the cellular anti-tumor reactivity of ab T cells engineered to express a defined gd TCR (TEG A3). For that purpose, we developed a 3D cytotoxicity assay targeting cell linederived spheroids or patient-derived tumor organoids formed in serum-free media. Tumor cell lysis by TEG A3 was monitored using the Incucyte S3 live-cell imaging system with the apoptosis marker caspase 3/7 green and endpoint readouts of IFN-g secretion in the supernatant. The 3D cytotoxicity assay model system was able to adequately demonstrate TEG A3 reactivity toward targets expressing an isoform of CD277 (CD277J). To obtain a more complex heterogeneous tumor microenvironment, patient-derived organoids were mixed with unmatched patient-derived fibroblasts or matched cancer-associated fibroblasts. In all assays, we demonstrated the tumor target specificity of TEG A3, lysing tumor cells within 48 h. Our study demonstrates the utility of complex 3D cytotoxicity assay model systems incorporating the tumor microenvironment in the functional evaluation of T cellbased adoptive immunotherapy, providing a useful platform for early-stage preclinical development of immunotherapies.

Original languageEnglish
Pages (from-to)229-240
Number of pages12
JournalJournal of Immunology
Volume211
Issue number2
DOIs
Publication statusPublished - 1 Jul 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 by The American Association of Immunologists Iṇc.

Funding

During the study, R.P. was part of the VAGABOND project, which received funding from the European Union Horizon 2020 Research and Innovation Programme (H2020-MSCA-ITN-2020) under grant agreement 956285.

FundersFunder number
H2020-MSCA-ITN-2020956285
Horizon 2020

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