Abstract

In vitro co-culture models between tumor cells and peripheral blood mononuclear cells (PBMCs) allow studying the interplay between these cell populations, potentially gaining insight into the in vivo response of the immune system to the presence of the tumor, as well as to possible other agents as radiation used for therapeutic purposes. However, great care is needed in the experimental optimization of models and choice of conditions, as some setups might offer a limited possibility to capture subtle immune perturbations. A co-culture model of PBMCs from healthy donors and colorectal adenocarcinoma Caco-2 cells was successfully adopted in a previous work to measure effects on Caco-2 and modulation of signaling when these latter are irradiated. We here tested if the same experimental setting allows to measure perturbations to the main PBMC subsets: we performed immunophenotyping by means of flow cytometry and quantified helper and cytotoxic T cells, NK cells, and B cells, when PBMCs are cultured alone (control), in presence of non-irradiated Caco-2 cells or when these latter are exposed to a 10 Gy X-ray dose from a conventional radiotherapy accelerator. To measure a baseline response in all experimental conditions, PBMCs were not further stimulated, but only followed in their time-evolution up to 72 h post-irradiation of Caco-2 and assembly of the co-culture. In this time interval PBMCs maintain a high viability (measured via the MTT assay). Caco-2 viability (MTT) is slightly affected by the presence of PBMCs and by the high radiation dose, confirming their radioresistance. Immunophenotyping results indicate a large inter-individual variability for different population subsets already at the control level. We analyzed relative population changes and we detected only a small but significant perturbation to cytotoxic T cells. We conclude that this model, as it is, is not adequate for the measurements of subtler immune perturbations (if any, not washed-out by inter-individual differences). For this purpose, the model needs to be modified and further optimized e.g., including a pre-treatment strategy for PBMCs. We also performed a pooled analysis of all experimental observations with principal component analysis, suggesting the potential of this tool to identify subpopulations of similarly-responding donors.

Highlights

  • Large efforts are being devoted to the study of the complex relationship between immune cells and developing tumors [1]

  • We considered as initial sets of variables for principal component analysis (PCA) all experimental observations for individual donors in terms of: lymphocytic subset percentages when peripheral blood mononuclear cells (PBMCs) are cultured alone at different time-points; relative changes of all subset populations when PBMCs are co-cultured with unirradiated Caco-2 with respect to the control (PBMCs cultured alone) at a fixed time-point of 72 h

  • Data are given as percentages with respect to PBMC viability at 1 h in presence of sham-irradiated Caco2 cells

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Summary

Introduction

Large efforts are being devoted to the study of the complex relationship between immune cells and developing tumors [1]. The immune system can detect shifts from homeostasis when normal cells undergo malignant transformation and eliminate them (immunosurveillance, which is at the basis of immunotherapy applications), but neoplastic cells have the potential to proliferate despite the host response (immune evasion, a hallmark of cancer). Interactions in the tumor microenvironment and stimulation of different lymphocytic subsets in vivo are at the basis of the final outcome [2, 3]. It is known that discrimination of different lymphocytic subsets can provide information that can be used as a variable with prognostic value, as it is the case for the intratumoral infiltration of natural killer (NK) cells in patients with different types of solid tumors [4] and e.g. In vitro experimental models as co-culture setups between tumor cells and peripheral blood mononuclear cells (PBMCs), including immunophenotyping of the lymphocytic pool, are useful tools to characterize underlying mechanisms. Great care is needed in the choice and optimization of experimental models and choice of investigated conditions, as some setups might offer a limited possibility to capture subtle immune perturbations

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