Dataset Information

Anti-GD2 antibodies conjugated to IL15 and IL21 mediate potent anti-tumor cytotoxicity against neuroblastoma

ABSTRACT: Half of the patients with high-risk neuroblastoma (NB) who receive GD2-targeted monoclonal antibody do not achieve long-term remissions. Recently, the antibody hu14.18 has been linked to interleukin (IL)2 (hu14.18-IL2) to enhance its efficacy and shown promising preclinical and clinical activity. We developed two new immunocytokines (ICs) by linking two other γc cytokines, IL15 and IL21, to hu14.18. The purpose of this study was to compare hu14.18-IL15 and -IL21 to hu14.18-IL2 in their ability to induce antibody-dependent cell-mediated cytotoxicity (ADCC) against NB. We assessed ADCC of hu14.18-IL15 and -IL2 (human cytokines, cross-reactive to mouse) against GD2low and GD2high NB cell lines in vitro. T-cell deficient mice with orthotopic patient-derived xenografts (PDXs) and immunocompetent mice with transplantable orthotopic NB were used to test all three ICs, including hu14.18-IL21 (murine IL21, not cross-reactive to human). Mechanistic studies were performed using single-cell RNA-sequencing (scRNA-seq). Hu14.18-IL15 and hu14.18-IL2 mediated equivalent in vitro ADCC by human NK cells. When combined with chemotherapy, all three ICs similarly controlled the growth of PDXs in nude mice with murine NK effector cells. However, hu14.18-IL15 and -IL21 outperformed hu14.18-IL2 in immunocompetent mice with syngeneic NB, inducing complete tumor regressions and extending survival. scRNA-seq data revealed an increase in CD8+ T cells and M1 tumor-associated macrophages and decreased regulatory T cells and myeloid-derived suppressor cells in the tumor microenvironment. Hu14.18-IL15 and Hu14.18-IL21 exhibit robust preclinical activity, warranting further consideration for clinical testing in patients with GD2-expressing NB.

ORGANISM(S): Mus musculus

PROVIDER: GSE206628 | GEO | 2022/09/01

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The paper describes a model of ADCC. Created by COPASI 4.26 (Build 213) This model is described in the article: A mathematical model of antibody-dependent cellular cytotoxicity (ADCC) F. Hoffman, D. Gavaghan, J. Osborne, I.P. Barrett, T. You, H. Ghadially, R. Sainson, R.W. Wilkinson, H.M. Byrne Journal of Theoretical Biology 436 (2018) 39–50 Abstract: Immunotherapies exploit the immune system to target and kill cancer cells, while sparing healthy tis- sue. Antibody therapies, an important class of immunotherapies, involve the binding to specific antigens on the surface of the tumour cells of antibodies that activate natural killer (NK) cells to kill the tu- mour cells. Preclinical assessment of molecules that may cause antibody-dependent cellular cytotoxicity (ADCC) involves co-culturing cancer cells, NK cells and antibody in vitro for several hours and measuring subsequent levels of tumour cell lysis. Here we develop a mathematical model of such an in vitro ADCC assay, formulated as a system of time-dependent ordinary differential equations and in which NK cells kill cancer cells at a rate which depends on the amount of antibody bound to each cancer cell. Numerical simulations generated using experimentally-based parameter estimates reveal that the system evolves on two timescales: a fast timescale on which antibodies bind to receptors on the surface of the tumour cells, and NK cells form complexes with the cancer cells, and a longer time-scale on which the NK cells kill the cancer cells. We construct approximate model solutions on each timescale, and show that they are in good agreement with numerical simulations of the full system. Our results show how the processes involved in ADCC change as the initial concentration of antibody and NK-cancer cell ratio are varied. We use these results to explain what information about the tumour cell kill rate can be extracted from the cytotoxicity assays. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Anti-GD2 antibodies conjugated to IL15 and IL21 mediate potent anti-tumor cytotoxicity against neuroblastoma

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure