Mathematical model of the impact of chemotherapy and antiangiogenic therapy on drug resistance in glioma growth

Abstract This study presents a mathematical model of glioma growth dynamics with drug resistance, capturing interactions among five cell populations – glial cells, sensitive and resistant glioma cells, endothelial cells, and neurons – alongside chemotherapy and antiangiogenic therapy. Glioma, a malignant tumor originating in glial cells, undergoes chemotherapy-induced mutations, leading to drug-resistant variants that affect both tumor and normal cells. The model incorporates a Holling Type II response function to optimize treatment doses while inducing angiogenic dormancy. Stability analysis identifies three equilibrium points – two stable and one unstable – while numerical simulations using phase portraits and trajectory diagrams illustrate the impact of combined therapies. This model provides insights into glioma progression and drug resistance, emphasizing the efficacy of combined therapies for optimizing treatment strategies.

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Publication Details

Journal
Computational and Mathematical Biophysics
Published
2025-01-01
DOI
https://doi.org/10.1515/cmb-2025-0022
Citations
2
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
2.74
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article

Mathematical model of the impact of chemotherapy and antiangiogenic therapy on drug resistance in glioma growth

Nanang Susyanto, Dwi Ertiningsih, Latifah Hanum
2 citations
Computational and Mathematical Biophysics
Mathematical Biology Tumor Growth
2.74
article

Mathematical model of the impact of chemotherapy and antiangiogenic therapy on drug resistance in glioma growth

Nanang Susyanto, Dwi Ertiningsih, Latifah Hanum
article en
2 citations

Abstract

Abstract This study presents a mathematical model of glioma growth dynamics with drug resistance, capturing interactions among five cell populations – glial cells, sensitive and resistant glioma cells, endothelial cells, and neurons – alongside chemotherapy and antiangiogenic therapy. Glioma, a malignant tumor originating in glial cells, undergoes chemotherapy-induced mutations, leading to drug-resistant variants that affect both tumor and normal cells. The model incorporates a Holling Type II response function to optimize treatment doses while inducing angiogenic dormancy. Stability analysis identifies three equilibrium points – two stable and one unstable – while numerical simulations using phase portraits and trajectory diagrams illustrate the impact of combined therapies. This model provides insights into glioma progression and drug resistance, emphasizing the efficacy of combined therapies for optimizing treatment strategies.

Computational and Mathematical BiophysicsVol. 13(1)
Universitas Gadjah Mada (ID)
Openalex Percentile: Top 12%
Mathematical Biology Tumor Growth
2.74
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Mathematical model of the impact of chemotherapy and antiangiogenic therapy on drug resistance in glioma growth — Nanang Susyanto, Dwi Ertiningsih, et al. · Computational and Mathematical Biophysics (2025) | TGRS Research Map | TGRS