4.4 Article

Natural Killer Cells Recruitment in Oncolytic Virotherapy: A Mathematical Model

Journal

BULLETIN OF MATHEMATICAL BIOLOGY
Volume 83, Issue 7, Pages -

Publisher

SPRINGER
DOI: 10.1007/s11538-021-00903-6

Keywords

Cancer; Natural Killer cells; Oncolytic virotherapy; Mathematical modeling

Funding

  1. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria

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This study investigates the impact of NK cell recruitment to the tumor microenvironment on oncolytic virotherapy. The model developed presents the importance of timing of NK cell responses during oncolytic virotherapy, and predicts that NK cell recruitment influences tumor growth and the likelihood of tumor escape during treatment. The results suggest that a balance between NK responses and viral cytopathicity is crucial for successful oncolytic virotherapy.
In this paper, we investigate how natural killer (NK) cell recruitment to the tumor microenvironment (TME) affects oncolytic virotherapy. NK cells play a major role against viral infections. They are, however, known to induce early viral clearance of oncolytic viruses, which hinders the overall efficacy of oncolytic virotherapy. Here, we formulate and analyze a simple mathematical model of the dynamics of the tumor, OV and NK cells using currently available preclinical information. The aim of this study is to characterize conditions under which the synergistic balance between OV-induced NK responses and required viral cytopathicity may or may not result in a successful treatment. In this study, we found that NK cell recruitment to the TME must take place neither too early nor too late in the course of OV infection so that treatment will be successful. NK cell responses are most influential at either early (partly because of rapid response of NK cells to viral infections or antigens) or later (partly because of antitumoral ability of NK cells) stages of oncolytic virotherapy. The model also predicts that: (a) an NK cell response augments oncolytic virotherapy only if viral cytopathicity is weak; (b) the recruitment of NK cells modulates tumor growth; and (c) the depletion of activated NK cells within the TME enhances the probability of tumor escape in oncolytic virotherapy. Taken together, our model results demonstrate that OV infection is crucial, not just to cytoreduce tumor burden, but also to induce the stronger NK cell response necessary to achieve complete or at least partial tumor remission. Furthermore, our modeling framework supports combination therapies involving NK cells and OV which are currently used in oncolytic immunovirotherapy to treat several cancer types.

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