Multiscale Dynamics of MMC Chemotherapy in Bladder Cancer: The SPVF Approach

Mitomycin-C (MMC) is the leading chemotherapeutic agent for the treatment of non-muscle invasive bladder cancer (NMIBC), but recurrence rates remain high due to poorly understood interactions between the tumor, immune system, and drugs. We present a five-equation mathematical model that explicitly tracks MMC, tumor cells, dendritic cells (DCs), effector T cells, and regulatory T cells (Tregs). The model incorporates clinically realistic treatment regimens (6-week induction followed by maintenance therapy), including DC activation by tumor debris, dual DC activation of effector and Treg cells, and reversal of MMC-induced immunosuppression. The resulting nonlinear system exhibits hidden multiscale dynamics. We apply the singular perturbed vector field (SPVF) method to identify fast–slow hierarchies, decompose the system, and conduct stability analysis. Our results reveal stable equilibria corresponding to either tumor eradication or persistence, with a critical dependence on the initial tumor size and growth rate. Modeling shows that increased DC production paradoxically contributes to treatment failure by enhancing Treg activity—a non-monotonic immune response that challenges conventional wisdom. These results shed light on the mechanisms of NMIBC evolution and highlight the importance of balanced immunomodulation in the development of therapeutic strategies.

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Publication Details

Journal
Mathematics
Published
2025-12-13
DOI
https://doi.org/10.3390/math13243974
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
1.37
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article

Multiscale Dynamics of MMC Chemotherapy in Bladder Cancer: The SPVF Approach

Ophir Nave, Svetlana Bunimovich‐Mendrazitsky, Marom Yosef
1 citations
Mathematics
Mathematical Biology Tumor Growth
1.37
article

Multiscale Dynamics of MMC Chemotherapy in Bladder Cancer: The SPVF Approach

Ophir Nave, Svetlana Bunimovich‐Mendrazitsky, Marom Yosef
article en
1 citations

Abstract

Mitomycin-C (MMC) is the leading chemotherapeutic agent for the treatment of non-muscle invasive bladder cancer (NMIBC), but recurrence rates remain high due to poorly understood interactions between the tumor, immune system, and drugs. We present a five-equation mathematical model that explicitly tracks MMC, tumor cells, dendritic cells (DCs), effector T cells, and regulatory T cells (Tregs). The model incorporates clinically realistic treatment regimens (6-week induction followed by maintenance therapy), including DC activation by tumor debris, dual DC activation of effector and Treg cells, and reversal of MMC-induced immunosuppression. The resulting nonlinear system exhibits hidden multiscale dynamics. We apply the singular perturbed vector field (SPVF) method to identify fast–slow hierarchies, decompose the system, and conduct stability analysis. Our results reveal stable equilibria corresponding to either tumor eradication or persistence, with a critical dependence on the initial tumor size and growth rate. Modeling shows that increased DC production paradoxically contributes to treatment failure by enhancing Treg activity—a non-monotonic immune response that challenges conventional wisdom. These results shed light on the mechanisms of NMIBC evolution and highlight the importance of balanced immunomodulation in the development of therapeutic strategies.

MathematicsVol. 13(24)
Jerusalem College of Technology (IL), College of Management Academic Studies (IL), Ariel University (IL)
Openalex Percentile: Top 15%
Mathematical Biology Tumor Growth
1.37
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Multiscale Dynamics of MMC Chemotherapy in Bladder Cancer: The SPVF Approach — Ophir Nave, Svetlana Bunimovich‐Mendrazitsky, et al. · Mathematics (2025) | TGRS Research Map | TGRS