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Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma
Cytotoxic T lymphocytes (CTLs) control tumors via lysis of antigen-presenting targets or through secretion of cytokines such as interferon-γ (IFNG), which inhibit tumor cell proliferation. Improved understanding of CTL interactions within solid tumors will aid the development of immunotherapeutic st...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173735/ https://www.ncbi.nlm.nih.gov/pubmed/37182110 http://dx.doi.org/10.1016/j.isci.2023.106666 |
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author | Beck, Richard J. Sloot, Sander Matsushita, Hirokazu Kakimi, Kazuhiro Beltman, Joost B. |
author_facet | Beck, Richard J. Sloot, Sander Matsushita, Hirokazu Kakimi, Kazuhiro Beltman, Joost B. |
author_sort | Beck, Richard J. |
collection | PubMed |
description | Cytotoxic T lymphocytes (CTLs) control tumors via lysis of antigen-presenting targets or through secretion of cytokines such as interferon-γ (IFNG), which inhibit tumor cell proliferation. Improved understanding of CTL interactions within solid tumors will aid the development of immunotherapeutic strategies against cancer. In this study, we take a systems biology approach to compare the importance of cytolytic versus IFNG-mediated cytostatic effects in a murine melanoma model (B16F10) and to dissect the contribution of immune checkpoints HAVCR2, LAG3, and PDCD1/CD274 to CTL exhaustion. We integrated multimodal data to inform an ordinary differential equation (ODE) model of CTL activities inside the tumor. Our model predicted that CTL cytotoxicity played only a minor role in tumor control relative to the cytostatic effects of IFNG. Furthermore, our analysis revealed that within B16F10 melanomas HAVCR2 and LAG3 better characterize the development of a dysfunctional CTL phenotype than does the PDCD1/CD274 axis. |
format | Online Article Text |
id | pubmed-10173735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101737352023-05-12 Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma Beck, Richard J. Sloot, Sander Matsushita, Hirokazu Kakimi, Kazuhiro Beltman, Joost B. iScience Article Cytotoxic T lymphocytes (CTLs) control tumors via lysis of antigen-presenting targets or through secretion of cytokines such as interferon-γ (IFNG), which inhibit tumor cell proliferation. Improved understanding of CTL interactions within solid tumors will aid the development of immunotherapeutic strategies against cancer. In this study, we take a systems biology approach to compare the importance of cytolytic versus IFNG-mediated cytostatic effects in a murine melanoma model (B16F10) and to dissect the contribution of immune checkpoints HAVCR2, LAG3, and PDCD1/CD274 to CTL exhaustion. We integrated multimodal data to inform an ordinary differential equation (ODE) model of CTL activities inside the tumor. Our model predicted that CTL cytotoxicity played only a minor role in tumor control relative to the cytostatic effects of IFNG. Furthermore, our analysis revealed that within B16F10 melanomas HAVCR2 and LAG3 better characterize the development of a dysfunctional CTL phenotype than does the PDCD1/CD274 axis. Elsevier 2023-04-13 /pmc/articles/PMC10173735/ /pubmed/37182110 http://dx.doi.org/10.1016/j.isci.2023.106666 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Beck, Richard J. Sloot, Sander Matsushita, Hirokazu Kakimi, Kazuhiro Beltman, Joost B. Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title | Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title_full | Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title_fullStr | Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title_full_unstemmed | Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title_short | Mathematical modeling identifies LAG3 and HAVCR2 as biomarkers of T cell exhaustion in melanoma |
title_sort | mathematical modeling identifies lag3 and havcr2 as biomarkers of t cell exhaustion in melanoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173735/ https://www.ncbi.nlm.nih.gov/pubmed/37182110 http://dx.doi.org/10.1016/j.isci.2023.106666 |
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