Document Type
Article
Source of Publication
Mathematical Modelling and Numerical Simulation with Applications
Publication Date
6-30-2026
Abstract
This study develops a fractional-order tumor-immune interaction model incorporating Caputo memory effects, delayed immune activation, and CTLA-4 checkpoint regulation. The model describes the coupled dynamics of tumor cells, CD4^+ T cells, IFN-γ, and CTLA-4, and extends classical integer-order tumor-immune models by accounting for hereditary immune responses and biologically motivated latency effects. Theoretical properties, including positivity, boundedness, equilibrium structure, and fractional-order stability, are examined to establish the biological and mathematical consistency of the model. The delayed fractional system is then investigated computationally by comparing several numerical methods, including finite difference discretization, Daubechies wavelet collocation, Euler wavelet collocation, and a predictor-corrector scheme. The simulations show consistent behavior across the numerical methods and indicate that both the fractional order and immune delay can substantially influence the timing and strength of tumor suppression. An exploratory optimal-control formulation for immune checkpoint inhibition is also introduced to illustrate how time-dependent therapeutic modulation may influence tumor burden and treatment effort. The main novelty of this work lies in integrating fractional memory, immune-response delay, and CTLA-4-mediated regulation within a unified tumor-immune modeling framework, together with an exploratory checkpoint-based treatment scenario. The numerical methods are used primarily to validate the consistency of the computed dynamics and to examine how memory and delay influence tumor suppression.
DOI Link
ISSN
Publisher
Necmettin Erbakan University Press
Volume
6
Issue
2
First Page
435
Last Page
486
Disciplines
Computer Sciences | Medicine and Health Sciences
Keywords
Caputo fractional derivative, fractional differential equations, immunotherapy modeling, memory effects, time-delay systems, Tumor-immune interactions, wavelet collocation methods
Scopus ID
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Mohammad, Mutaz; Sweidan, Mohyeedden; Trounev, Alexander; and Rihan, Fathalla, "Tumor-immune dynamics with memory and time delay: a fractional-order model with CTLA-4 regulation" (2026). All Works. 8334.
https://zuscholars.zu.ac.ae/works/8334
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Hybrid: This publication is openly available in a subscription-based journal/series