Dataset Information

Hoffman2018- ADCC against cancer

ABSTRACT: 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.

SUBMITTER: Jinghao Men

PROVIDER: BIOMD0000000802 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000802?filename=Hoffman2017-biopax2.owl	Owl
	BIOMD0000000802?filename=Hoffman2017-biopax3.owl	Owl
	BIOMD0000000802?filename=Hoffman2017-matlab.m	Other
	BIOMD0000000802?filename=Hoffman2017-octave.m	Other
	BIOMD0000000802?filename=Hoffman2017.cps	Other

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A mathematical model of antibody-dependent cellular cytotoxicity (ADCC).

Hoffman F F Gavaghan D D Osborne J J Barrett I P IP You T T Ghadially H H Sainson R R Wilkinson R W RW Byrne H M HM

Journal of theoretical biology 20170929

Immunotherapies exploit the immune system to target and kill cancer cells, while sparing healthy tissue. 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 tumour 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 ho ...[more]

PMID: 28970093

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Project description:Natural killer (NK) cells are an innate immune cell type that serves at the first level of defense against pathogens and cancer. NK cells have clinical potential; However, multiple current limitations exist that naturally hinder the successful implementation of NK cell therapy against cancer, including their effector function, persistence, and tumor infiltration. To unbiasedly identify genes underlying critical NK cell characteristics against cancer, we perform functional mapping of tumor infiltrating NK (TINK) cells by both in vivo AAV-CRISPR screens and single-cell sequencing. We establish a strategy with AAV-SleepingBeauty(SB)-CRISPR screening leveraging a focused high-density sgRNA library, and perform four independent in vivo tumor infiltration screens of primary NK cells in mouse models of melanoma, breast cancer, pancreatic cancer, and glioblastoma. In parallel, we characterize single-cell transcriptomic landscapes of tumor-infiltrating NK cells, which identifies previously unexplored sub-populations of NK cells with distinct expression profiles, a shift from immature to mature NK (mNK) cells in the tumor microenvironment (TME), and decreased expression of mature marker genes in mNK cells. CALHM2, a calcium homeostasis modulator previously not linked to NK function, emerges as a convergent hit from both CRISPR screen and single-cell data. CALHM2 knockout NK cells show enhancement of in vitro cytotoxicity and in vivo tumor infiltration in both mouse primary NK and human chimeric antigen receptor (CAR)-NK cells. Re-introduction of CALHM2 mRNA reverses CALHM2 knockout phenotype of NK cytotoxicity and degranulation. Importantly, in a solid tumor model that is completely resistant to adoptive cell therapy of unmodified CAR-NK cells, CALHM2 knockout CAR-NK cells show potent in vivo anti-tumor efficacy. Human primary NK cell study with multiple donors reveals that CALHM2 knockout enhances cytotoxicity, degranulation and cytokine production of NK cells. Transcriptomics profiling of human primary NK cells reveal multiple enriched pathways of downstream genes upon CALHM2 knockout in both baseline and stimulated conditions. These data identify endogenous cellular genetic checkpoints that naturally limit NK cell function, and pinpoint CALHM2 as a key factor in which genetic modification can be engineered to enhance NK cell-based immunotherapies.