Perspective
110699
September 20, 2024
Open access
Modeling tumors as complex ecosystems
Guim Aguadé-Gorgorió1 guimaguade@gmail.com ∙ Alexander R.A. Anderson2 alexander.anderson@moffitt.org ∙ Ricard Solé3,4 ricard.sole@upf.edu
Summary
Many cancers resist therapeutic intervention. This is fundamentally related to intratumor heterogeneity: multiple cell populations, each with different phenotypic signatures, coexist within a tumor and its metastases. Like species in an ecosystem, cancer populations are intertwined in a complex network of ecological interactions. Most mathematical models of tumor ecology, however, cannot account for such phenotypic diversity or predict its consequences. Here, we propose that the generalized Lotka-Volterra model (GLV), a standard tool to describe species-rich ecological communities, provides a suitable framework to model the ecology of heterogeneous tumors. We develop a GLV model of tumor growth and discuss how its emerging properties provide a new understanding of the disease. We discuss potential extensions of the model and their application to phenotypic plasticity, cancer-immune interactions, and metastatic growth. Our work outlines a set of questions and a road map for further research in cancer ecology.
https://www.cell.com/iscience/fulltext/S2589-0042(24)01924-2
Modeling tumors as complex ecosystems: iScience