Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions

It was recently reported that acute influenza infection of the lung promoted distal melanoma growth in the dermis of mice. Melanoma-specific CD8+ T cells were shunted to the lung in the presence of the infection, where they expressed high levels of inflammation-induced cell-activation blocker PD-1,...

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Main Authors: Evgeni V. Nikolaev, Andrew Zloza, Eduardo D. Sontag
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2019.00004/full
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spelling doaj-ce9605f7c01a4e009c276410e22fce972020-11-25T01:04:34ZengFrontiers Media S.A.Frontiers in Immunology1664-32242019-01-011010.3389/fimmu.2019.00004402103Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer InteractionsEvgeni V. Nikolaev0Evgeni V. Nikolaev1Andrew Zloza2Andrew Zloza3Eduardo D. Sontag4Eduardo D. Sontag5Eduardo D. Sontag6Center for Quantitative Biology, Rutgers University, Piscataway, NJ, United StatesClinical Investigations and Precision Therapeutics Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United StatesSection of Surgical Oncology Research, Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United StatesDepartment of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United StatesDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, United StatesDepartment of Bioengineering, Northeastern University, Boston, MA, United StatesLaboratory for Systems Pharmacology, Harvard Medical School, Boston, MA, United StatesIt was recently reported that acute influenza infection of the lung promoted distal melanoma growth in the dermis of mice. Melanoma-specific CD8+ T cells were shunted to the lung in the presence of the infection, where they expressed high levels of inflammation-induced cell-activation blocker PD-1, and became incapable of migrating back to the tumor site. At the same time, co-infection virus-specific CD8+ T cells remained functional while the infection was cleared. It was also unexpectedly found that PD-1 blockade immunotherapy reversed this effect. Here, we proceed to ground the experimental observations in a mechanistic immunobiochemical model that incorporates T cell pathways that control PD-1 expression. A core component of our model is a kinetic motif, which we call a PD-1 Double Incoherent Feed-Forward Loop (DIFFL), and which reflects known interactions between IRF4, Blimp-1, and Bcl-6. The different activity levels of the PD-1 DIFFL components, as a function of the cognate antigen levels and the given inflammation context, manifest themselves in phenotypically distinct outcomes. Collectively, the model allowed us to put forward a few working hypotheses as follows: (i) the melanoma-specific CD8+ T cells re-circulating with the blood flow enter the lung where they express high levels of inflammation-induced cell-activation blocker PD-1 in the presence of infection; (ii) when PD-1 receptors interact with abundant PD-L1, constitutively expressed in the lung, T cells loose motility; (iii) at the same time, virus-specific cells adapt to strong stimulation by their cognate antigen by lowering the transiently-elevated expression of PD-1, remaining functional and mobile in the inflamed lung, while the infection is cleared. The role that T cell receptor (TCR) activation and feedback loops play in the underlying processes are also highlighted and discussed. We hope that the results reported in our study could potentially contribute to the advancement of immunological approaches to cancer treatment and, as well, to a better understanding of a broader complexity of fundamental interactions between pathogens and tumors.https://www.frontiersin.org/article/10.3389/fimmu.2019.00004/fullinfluenzamelanomaPD-1/PD-L1incoherent feedforward loopmathematical modeling
collection DOAJ
language English
format Article
sources DOAJ
author Evgeni V. Nikolaev
Evgeni V. Nikolaev
Andrew Zloza
Andrew Zloza
Eduardo D. Sontag
Eduardo D. Sontag
Eduardo D. Sontag
spellingShingle Evgeni V. Nikolaev
Evgeni V. Nikolaev
Andrew Zloza
Andrew Zloza
Eduardo D. Sontag
Eduardo D. Sontag
Eduardo D. Sontag
Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
Frontiers in Immunology
influenza
melanoma
PD-1/PD-L1
incoherent feedforward loop
mathematical modeling
author_facet Evgeni V. Nikolaev
Evgeni V. Nikolaev
Andrew Zloza
Andrew Zloza
Eduardo D. Sontag
Eduardo D. Sontag
Eduardo D. Sontag
author_sort Evgeni V. Nikolaev
title Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
title_short Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
title_full Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
title_fullStr Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
title_full_unstemmed Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions
title_sort immunobiochemical reconstruction of influenza lung infection—melanoma skin cancer interactions
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2019-01-01
description It was recently reported that acute influenza infection of the lung promoted distal melanoma growth in the dermis of mice. Melanoma-specific CD8+ T cells were shunted to the lung in the presence of the infection, where they expressed high levels of inflammation-induced cell-activation blocker PD-1, and became incapable of migrating back to the tumor site. At the same time, co-infection virus-specific CD8+ T cells remained functional while the infection was cleared. It was also unexpectedly found that PD-1 blockade immunotherapy reversed this effect. Here, we proceed to ground the experimental observations in a mechanistic immunobiochemical model that incorporates T cell pathways that control PD-1 expression. A core component of our model is a kinetic motif, which we call a PD-1 Double Incoherent Feed-Forward Loop (DIFFL), and which reflects known interactions between IRF4, Blimp-1, and Bcl-6. The different activity levels of the PD-1 DIFFL components, as a function of the cognate antigen levels and the given inflammation context, manifest themselves in phenotypically distinct outcomes. Collectively, the model allowed us to put forward a few working hypotheses as follows: (i) the melanoma-specific CD8+ T cells re-circulating with the blood flow enter the lung where they express high levels of inflammation-induced cell-activation blocker PD-1 in the presence of infection; (ii) when PD-1 receptors interact with abundant PD-L1, constitutively expressed in the lung, T cells loose motility; (iii) at the same time, virus-specific cells adapt to strong stimulation by their cognate antigen by lowering the transiently-elevated expression of PD-1, remaining functional and mobile in the inflamed lung, while the infection is cleared. The role that T cell receptor (TCR) activation and feedback loops play in the underlying processes are also highlighted and discussed. We hope that the results reported in our study could potentially contribute to the advancement of immunological approaches to cancer treatment and, as well, to a better understanding of a broader complexity of fundamental interactions between pathogens and tumors.
topic influenza
melanoma
PD-1/PD-L1
incoherent feedforward loop
mathematical modeling
url https://www.frontiersin.org/article/10.3389/fimmu.2019.00004/full
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