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Tumor Stabilization Induced by T-Cell Recruitment Fluctuations

Irina Bashkirtseva, Lev Ryashko, Álvaro G. López, Jesús M. Seoane, Miguel A. F. Sanjuán

2020International Journal of Bifurcation and Chaos10 citationsDOIOpen Access PDF

Abstract

The influence of random fluctuations on the recruitment of effector cells towards a tumor is studied by means of a stochastic mathematical model. Aggressively growing tumors are confronted against varying intensities of the cell-mediated immune response for which chaotic and periodic oscillations coexist together with stable tumor dynamics. A thorough parametric analysis of the noise-induced transition from this oscillatory regime to complete tumor dominance is carried out. A hysteresis phenomenon is uncovered, which stabilizes the tumor at its carrying capacity and drives the healthy and the immune cell populations to their extinction. Furthermore, it is shown that near a crisis bifurcation, such transitions occur under weak noise intensities. Finally, the corresponding noise-induced chaos-order transformation is analyzed and discussed in detail.

Topics & Concepts

EffectorImmune systemChaoticHysteresisParametric statisticsControl theory (sociology)Tumor cellsNoise (video)PhysicsStatistical physicsBiologyStochastic processDominance (genetics)Oscillation (cell signaling)MathematicsTransition (genetics)CellBiophysicsBiological systemDynamics (music)ChemistryPhenomenonMathematical Biology Tumor GrowthGene Regulatory Network Analysisstochastic dynamics and bifurcation