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The study aims to analyze tumor growth dynamics in primary and metastatic tumors using a shared carrying capacity model.

February 26, 2026British Journal of CancerOpen Access

Gompertz growth with a shared carrying capacity optimally simulates primary and metastatic tumor growth dynamics

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The study aims to analyze tumor growth dynamics in primary and metastatic tumors using a shared carrying capacity model.
Analyzed data from multiple in vivo tumor models.
Formalized tumor interaction as a mathematical differential equation.
Calibrated parameters for each cell line and mouse type.
Used model selection metrics to identify classic growth models.
Identified differences in systemic carrying capacity, metastatic spread potential, and growth rates across cell lines and mouse strains.
Explained metastatic growth acceleration post-primary tumor surgery through bi-directional systemic interconnectivity.
Suggested future investigations in clinical settings to evaluate the model's applicability.

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Mathematical model explores tumor growth dynamics in primary and metastatic tumors, suggesting systemic implications for treatment strategies.

Schlicke et al. (2026) studied this question.

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Mathematical model explores tumor growth dynamics in primary and metastatic tumors, suggesting systemic implications for treatment strategies.