Signaling reporter cell lines for monitoring immune activation enable the study of dynamic crosstalk among cancer cells, innate immune cells, and adaptive immune cells in tumor microenvironment
Society for Immunotherapy of Cancer (SITC) 2025 Annual Meeting
National Harbor, Maryland, United States
November 07, 2025Abstract
Background: Although T cell-targeted immunotherapies have achieved significant clinical success, a considerable proportion of patients either do not respond or eventually relapse, largely due to the immunosuppressive characteristics of the tumor microenvironment. Growing evidence indicates that additional immune cell types, including B cells and myeloid cells, play vital roles in regulating the effectiveness of cancer immunotherapies. Despite this, widely accessible immunological models that accurately recapitulate the complex, multidirectional interactions between cancer cells and both adaptive and innate immune cells remain limited.
Methods: To address this need, we developed six luciferase-based immune activation reporter cell lines derived from T cells, B cells, or myeloid cells. These lines were engineered to express luciferase under the control of either the nuclear factor of activated T cells (NFAT) or nuclear factor kappa B (NF-κB) signaling pathways. In addition, the cell lines endogenously express high levels of relevant immune checkpoint receptors, including PD-1, TIGIT, and/or GITR for T cells, and SIRPα, Siglec-10, LILRB1, and/or B7-1 for myeloid cells, facilitating their use in immune checkpoint research.
Results: To validate the reporter functionality, NFAT-luciferase T cell lines were stimulated with phorbol 12-myristate 13-acetate (PMA) and ionomycin, while NF-κB-luciferase myeloid lines were activated using tumor necrosis factor-alpha (TNF-α) or T cell-conditioned media. A B cell-derived NF-κB reporter line (BDCM-NFκB-Luc2), characterized by high basal luciferase activity, was treated with an NF-κB pathway inhibitor. These reporter lines were further evaluated in co-culture with primary immune and/or cancer cells to investigate immune cell interactions. Luciferase assays were used for rapid and quantitative assessment of reporter activity under all experimental conditions. Results demonstrated that stimuli activating NFAT or NF-κB pathways led to dose-dependent increases in luciferase expression, while pathway inhibition caused corresponding decreases. Notably, co-culture with various other immune and cancer cell types elevated luminescence signals in different levels indicating that interactions with other cell types in tumor microenvironment lead to varying degrees of signaling activation.
Conclusions: These newly developed immune reporter cell lines provide a robust and scalable ex vivo platform for the evaluation of cancer immunotherapies. They enable sensitive, reproducible monitoring of the dynamic interplay between cancer cells and components of the innate and adaptive immune systems, offering a powerful tool for assessing combinatorial immune responses within the tumor microenvironment.
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Hyeyoun Chang, PhD
Scientist, ATCC
Hyeyoun Chang, PhD, is a Scientist in the Immuno-oncology group of the R&D department at ATCC. She has extensive experience in the fields of biomedical engineering and cancer biology that focuses on drug delivery, intracellular signaling, and gene therapy. Prior to joining ATCC, Dr. Chang received her PhD in biomedical engineering from Korea University of Science and Technology and completed her postdoctoral training at Dana-Farber Cancer Institute/ Harvard Medical School.
Immuno-oncology reporter models
Cancer immunotherapy has emerged as an exciting new approach for cancer treatment, and immuno-oncology is one of the fastest growing fields in oncology.
The development of immunomodulatory drugs and biologics dictates a clear need for human cell-based models to evaluate immune activation. To answer this need, ATCC provides a growing collection of reporter models, including checkpoint luciferase reporter cells, CAR-T luciferase reporter cells, and THP-1 reporter cells.
Explore immuno-oncology reporter models