Abstract 2048: Integrated tumor models for immune oncology: Using live cell imaging for prediction of treatment efficacy in vitro and in vivo
Authors: Kobelt Dennis , Stecklum Maria , Rhein Simone , Walther Wolfgang , Hoffmann Jens 
Published: March 2024

Background: The preclinical evaluation of novel cancer treatments demands comprehensive model systems in vitro that provide meaningful data before entering in vivo studies. Here we evaluate the capabilities of live cell imaging systems to evaluate novel immune therapies. Using integrated immune and tumor cell models in vitro we demonstrate, that these model systems can generate reliable data of pharmacodynamic activity of biologicals, small molecules or combinatorial approaches for further preclinical in vivo characterization.

Methods: Target tumor cell killing was assessed in vitro with immune cells (T- and NK-cells) and engagers. Tumor cells were transduced with a fluorescent marker to discriminate tumor cells from immune cells. The technology was used to determine inhibition of cell motility (re-invasion) after scratching of tumor cell monolayers. Cells were monitored using the IncuCyte. Dose-response-curves of single treatments and all combinations were generated in parallel. Active therapies were selected for further in vivo validation of immune cell killing. Humanized mice were generated by injection of CD34+ HSC or human immune cell subsets. Immune cell engraftment was monitored by FACS. To analyze the effect biologicals or small molecules, tumor cells were transplanted into these humanized mice. Tumor development and therapeutic effects were monitored by BLI measurements.

Results and conclusion: Tumor cell killing by immune cells and monolayer scratch assay in 96 well format were successfully monitored in the IncuCyte. Here, data can be generated over time without the need of new samples at every time point compared with conventional end point measurements. Using antibodies directing immune cells to attack target cells extensive cell killing was observed over time. These data predicted in vivo treatment outcome in mice co-engrafted with human immune cells. After successful humanization of mice, immune cells can be directed to kill target tumor cells. Small molecule combinations were tested in vitro utilizing the metastasis/2D scratch assay. After setup of dose-response curves for two molecules combinatorial treatments were tested. Here we found a synergistic increase in efficacy. These combinations were tested in vivo to evaluate their abilities to inhibit cell motility and distant metastasis. Here we show that the in vitro assays predicted correctly the highest efficacy of combined treatments compared to mono treatments.The IncuCyte System provides data that translate our integrated model systems into in vivo studies. We have shown that activated immune cells can kill target tumor cells in vitro. These data have been validated in vivo using immune cell humanized mice. Further, immune cells, biologicals and small molecule based treatments can be tested either alone or in combination, allowing the preselection of active combinations for further development.

Citation Format: Dennis Kobelt, Maria Stecklum, Simone Rhein, Wolfgang Walther, Jens Hoffmann. Integrated tumor models for immune oncology: Using live cell imaging for prediction of treatment efficacy in vitro and in vivo [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2048.