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PLoS One. 2015 Mar 27;10(3):e0120053. doi: 10.1371/journal.pone.0120053. eCollection 2015.

A biased competition theory of cytotoxic T lymphocyte interaction with tumor nodules.

Author information

1
Institut de Mathématiques de Toulouse, CNRS UMR 5219, Toulouse, France; INSERM, UMR 1043, Centre de Physiopathologie de Toulouse Purpan, Section Dynamique Moléculaire des Interactions Lymphocytaires, Toulouse, France; Université Toulouse III Paul Sabatier, Toulouse, France.
2
INSERM, UMR 1043, Centre de Physiopathologie de Toulouse Purpan, Section Dynamique Moléculaire des Interactions Lymphocytaires, Toulouse, France; Université Toulouse III Paul Sabatier, Toulouse, France.
3
Ludwig Institute for Cancer Research, Brussels Branch, Université de Bruxelles, Bruxelles, Belgique.
4
Institut de Mathématiques de Toulouse, CNRS UMR 5219, Toulouse, France; Université Toulouse III Paul Sabatier, Toulouse, France.
5
Institut de Mathématiques de Toulouse, CNRS UMR 5219, Toulouse, France; Toulouse School of Economics, Université de Toulouse I Capitole, Toulouse, France.

Abstract

The dynamics of the interaction between Cytotoxic T Lymphocytes (CTL) and tumor cells has been addressed in depth, in particular using numerical simulations. However, stochastic mathematical models that take into account the competitive interaction between CTL and tumors undergoing immunoediting, a process of tumor cell escape from immunesurveillance, are presently missing. Here, we introduce a stochastic dynamical particle interaction model based on experimentally measured parameters that allows to describe CTL function during immunoediting. The model describes the competitive interaction between CTL and melanoma cell nodules and allows temporal and two-dimensional spatial progression. The model is designed to provide probabilistic estimates of tumor eradication through numerical simulations in which tunable parameters influencing CTL efficacy against a tumor nodule undergoing immunoediting are tested. Our model shows that the rate of CTL/tumor nodule productive collisions during the initial time of interaction determines the success of CTL in tumor eradication. It allows efficient cytotoxic function before the tumor cells acquire a substantial resistance to CTL attack, due to mutations stochastically occurring during cell division. Interestingly, a bias in CTL motility inducing a progressive attraction towards a few scout CTL, which have detected the nodule enhances early productive collisions and tumor eradication. Taken together, our results are compatible with a biased competition theory of CTL function in which CTL efficacy against a tumor nodule undergoing immunoediting is strongly dependent on guidance of CTL trajectories by scout siblings. They highlight unprecedented aspects of immune cell behavior that might inspire new CTL-based therapeutic strategies against tumors.

PMID:
25815811
PMCID:
PMC4376944
DOI:
10.1371/journal.pone.0120053
[Indexed for MEDLINE]
Free PMC Article

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