High resolution microfluidic assay and probabilistic modeling reveal cooperation between T cells in tumor killing

Gustave Ronteix, Shreyansh Jain, Christelle Angely, Marine Cazaux, Roxana Khazen, Philippe Bousso () and Charles N. Baroud ()
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Gustave Ronteix: Institut Pasteur, Univerité Paris Cité
Shreyansh Jain: Institut Pasteur, Univerité Paris Cité
Christelle Angely: Institut Pasteur, Univerité Paris Cité
Marine Cazaux: Institut Pasteur, Université Paris Cité, INSERM U1223
Roxana Khazen: Institut Pasteur, Université Paris Cité, INSERM U1223
Philippe Bousso: Institut Pasteur, Université Paris Cité, INSERM U1223
Charles N. Baroud: Institut Pasteur, Univerité Paris Cité

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Cytotoxic T cells are important components of natural anti-tumor immunity and are harnessed in tumor immunotherapies. Immune responses to tumors and immune therapy outcomes largely vary among individuals, but very few studies examine the contribution of intrinsic behavior of the T cells to this heterogeneity. Here we show the development of a microfluidic-based in vitro method to track the outcome of antigen-specific T cell activity on many individual cancer spheroids simultaneously at high spatiotemporal resolution, which we call Multiscale Immuno-Oncology on-Chip System (MIOCS). By combining parallel measurements of T cell behaviors and tumor fates with probabilistic modeling, we establish that the first recruited T cells initiate a positive feedback loop to accelerate further recruitment to the spheroid. We also provide evidence that cooperation between T cells on the spheroid during the killing phase facilitates tumor destruction. Thus, we propose that both T cell accumulation and killing function rely on collective behaviors rather than simply reflecting the sum of individual T cell activities, and the possibility to track many replicates of immune cell-tumor interactions with the level of detail our system provides may contribute to our understanding of immune response heterogeneity.

Date: 2022
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DOI: 10.1038/s41467-022-30575-2

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