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      Role of tumor-associated neutrophils in regulation of tumor growth in lung cancer development: A mathematical model

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          Abstract

          Neutrophils display rapid and potent innate immune responses in various diseases. Tumor-associated neutrophils (TANs) however either induce or overcome immunosuppressive functions of the tumor microenvironment through complex tumor-stroma crosstalk. We developed a mathematical model to address the question of how phenotypic alterations between tumor suppressive N1 TANS, and tumor promoting N2 TANs affect nonlinear tumor growth in a complex tumor microenvironment. The model provides a visual display of the complex behavior of populations of TANs and tumors in response to various TGF- β and IFN- β stimuli. In addition, the effect of anti-tumor drug administration is incorporated in the model in an effort to achieve optimal anti-tumor efficacy. The simulation results from the mathematical model were in good agreement with experimental data. We found that the N2-to-N1 ratio (N21R) index is positively correlated with aggressive tumor growth, suggesting that this may be a good prognostic factor. We also found that the antitumor efficacy increases when the relative ratio (Dap) of delayed apoptotic cell death of N1 and N2 TANs is either very small or relatively large, providing a basis for therapeutically targeting prometastatic N2 TANs.

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          TGFbeta in the context of an inflammatory cytokine milieu supports de novo differentiation of IL-17-producing T cells.

          We describe de novo generation of IL-17-producing T cells from naive CD4 T cells, induced in cocultures of naive CD4 T cells and naturally occurring CD4+ CD25+ T cells (Treg) in the presence of TLR3, TLR4, or TLR9 stimuli. Treg can be substituted by TGFbeta1, which, together with the proinflammatory cytokine IL-6, supports the differentiation of IL-17-producing T cells, a process that is amplified by IL-1beta and TNFalpha. We could not detect a role for IL-23 in the differentiation of IL-17-producing T cells but confirmed its importance for their survival and expansion. Transcription factors GATA-3 and T-bet, as well as its target Hlx, are absent in IL-17-producing T cells, and they do not express the negative regulator for TGFbeta signaling, Smad7. Our data indicate that, in the presence of IL-6, TGFbeta1 subverts Th1 and Th2 differentiation for the generation of IL-17-producing T cells.
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            A methodology for performing global uncertainty and sensitivity analysis in systems biology.

            Accuracy of results from mathematical and computer models of biological systems is often complicated by the presence of uncertainties in experimental data that are used to estimate parameter values. Current mathematical modeling approaches typically use either single-parameter or local sensitivity analyses. However, these methods do not accurately assess uncertainty and sensitivity in the system as, by default, they hold all other parameters fixed at baseline values. Using techniques described within we demonstrate how a multi-dimensional parameter space can be studied globally so all uncertainties can be identified. Further, uncertainty and sensitivity analysis techniques can help to identify and ultimately control uncertainties. In this work we develop methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models. We compare two specific types of global sensitivity analysis indexes that have proven to be among the most robust and efficient. Through familiar and new examples of mathematical and computer models, we provide a complete methodology for performing these analyses, in both deterministic and stochastic settings, and propose novel techniques to handle problems encountered during these types of analyses.
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              IFNalpha activates dormant haematopoietic stem cells in vivo.

              Maintenance of the blood system is dependent on dormant haematopoietic stem cells (HSCs) with long-term self-renewal capacity. After injury these cells are induced to proliferate to quickly re-establish homeostasis. The signalling molecules promoting the exit of HSCs out of the dormant stage remain largely unknown. Here we show that in response to treatment of mice with interferon-alpha (IFNalpha), HSCs efficiently exit G(0) and enter an active cell cycle. HSCs respond to IFNalpha treatment by the increased phosphorylation of STAT1 and PKB/Akt (also known as AKT1), the expression of IFNalpha target genes, and the upregulation of stem cell antigen-1 (Sca-1, also known as LY6A). HSCs lacking the IFNalpha/beta receptor (IFNAR), STAT1 (ref. 3) or Sca-1 (ref. 4) are insensitive to IFNalpha stimulation, demonstrating that STAT1 and Sca-1 mediate IFNalpha-induced HSC proliferation. Although dormant HSCs are resistant to the anti-proliferative chemotherapeutic agent 5-fluoro-uracil, HSCs pre-treated (primed) with IFNalpha and thus induced to proliferate are efficiently eliminated by 5-fluoro-uracil exposure in vivo. Conversely, HSCs chronically activated by IFNalpha are functionally compromised and are rapidly out-competed by non-activatable Ifnar(-/-) cells in competitive repopulation assays. Whereas chronic activation of the IFNalpha pathway in HSCs impairs their function, acute IFNalpha treatment promotes the proliferation of dormant HSCs in vivo. These data may help to clarify the so far unexplained clinical effects of IFNalpha on leukaemic cells, and raise the possibility for new applications of type I interferons to target cancer stem cells.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Investigation
                Role: SoftwareRole: Visualization
                Role: Formal analysis
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2019
                28 January 2019
                : 14
                : 1
                : e0211041
                Affiliations
                [1 ] Department of Mathematics, Konkuk University, Seoul, Republic of Korea
                [2 ] Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio, United States of America
                [3 ] Division of Mathematical Models, National Institute for Mathematical Sciences, Daejeon, Republic of Korea
                [4 ] Department of neurosurgery, Harvard Medical School & Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
                Dartmouth College Geisel School of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-8905-8481
                Article
                PONE-D-18-23449
                10.1371/journal.pone.0211041
                6349324
                30689655
                b27e1b08-d668-4245-87ee-6c27cbef43cc
                © 2019 Kim et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 August 2018
                : 7 January 2019
                Page count
                Figures: 19, Tables: 2, Pages: 40
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100002641, Konkuk University;
                Award ID: Research grant 2015
                Award Recipient :
                This work was supported by Konkuk University 2015 Research fund ( www.konkuk.ac.kr, Y.J.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Death
                Apoptosis
                Biology and life sciences
                Cell biology
                Signal transduction
                Cell signaling
                Signaling cascades
                TGF-beta signaling cascade
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Blood Cells
                White Blood Cells
                Neutrophils
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Immune Cells
                White Blood Cells
                Neutrophils
                Biology and Life Sciences
                Immunology
                Immune Cells
                White Blood Cells
                Neutrophils
                Medicine and Health Sciences
                Immunology
                Immune Cells
                White Blood Cells
                Neutrophils
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Signal Inhibition
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Mathematical Models
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Lung and Intrathoracic Tumors
                Biology and Life Sciences
                Immunology
                Immune Response
                Medicine and Health Sciences
                Immunology
                Immune Response
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Lung and Intrathoracic Tumors
                Non-Small Cell Lung Cancer
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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