A Model of Effector–Tumor Cell Interactions Under Chemotherapy: Bifurcation Analysis

This paper studies the dynamic behavior of a three-dimensional mathematical model of effector–tumor cell interactions that incorporates the impact of chemotherapy. The well-known logistic function is used to model tumor growth. Elementary concepts of singularity theory are used to classify the model steady-state equilibria. I show that the model can predict hysteresis, isola/mushroom, and pitchfork singularities. Useful branch sets in terms of model parameters are constructed to delineate the domains of such singularities. I examine the effect of chemotherapy on bifurcation solutions, and I discuss the efficiency of chemotherapy treatment. I also show that the model cannot predict a periodic behavior for any model parameters.

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Publication Details

Journal
Mathematics
Published
2025-03-22
DOI
https://doi.org/10.3390/math13071032
Citations
2
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
2.74
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article

A Model of Effector–Tumor Cell Interactions Under Chemotherapy: Bifurcation Analysis

Rubayyi T. Alqahtani
2 citations
Mathematics
Mathematical Biology Tumor Growth
2.74
article

A Model of Effector–Tumor Cell Interactions Under Chemotherapy: Bifurcation Analysis

Rubayyi T. Alqahtani
article en
2 citations

Abstract

This paper studies the dynamic behavior of a three-dimensional mathematical model of effector–tumor cell interactions that incorporates the impact of chemotherapy. The well-known logistic function is used to model tumor growth. Elementary concepts of singularity theory are used to classify the model steady-state equilibria. I show that the model can predict hysteresis, isola/mushroom, and pitchfork singularities. Useful branch sets in terms of model parameters are constructed to delineate the domains of such singularities. I examine the effect of chemotherapy on bifurcation solutions, and I discuss the efficiency of chemotherapy treatment. I also show that the model cannot predict a periodic behavior for any model parameters.

MathematicsVol. 13(7)
Imam Mohammad ibn Saud Islamic University (SA)
Openalex Percentile: Top 12%
Mathematical Biology Tumor Growth
2.74
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