Ecological Dynamics of Pro-tumor and Anti-tumorTeams in the Tumor Microenvironment

Tumor growth occurs within a complex tumor microenvironment (TME) composed of many
interacting cell types. However, the signs of tumor-immune interactions in this ecosystem are
not random and possess a structure, the immune cell types in TME tend to organize into two
functional communities: a pro-tumor team and an anti-tumor team, each internally coopera-
tive but mutually antagonistic forming a two-team ecosystem. Quantitatively predicting the
ecological outcomes of such interactions remains challenging due to cellular diversity and in-
teraction variability, and the exact dynamical regimes accessible to such a two-team ecosystem
remain unknown. Here, we model tumor-immune interactions as a structured ecosystem with
two competing teams using a generalized Lotka-Volterra framework and analyze it using the
cavity method. We derive phase diagrams that delineate when these two communities coexist,
when one dominates, and how these outcomes depend on intra-team cooperation, cross-team
inhibition, and ecological heterogeneity. Our work provides a foundation for understanding
tumor-immune dynamics from a community ecology perspective.&#xD.

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Institutions

Publication Details

Journal
Physical Biology
Published
2026-05-12
DOI
https://doi.org/10.1088/1478-3975/ae6c84
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

Ecological Dynamics of Pro-tumor and Anti-tumorTeams in the Tumor Microenvironment

Mohit Kumar Jolly, Vaibhav Anand Anand, Herbert Levine
Physical Biology
Mathematical Biology Tumor Growth
article

Ecological Dynamics of Pro-tumor and Anti-tumorTeams in the Tumor Microenvironment

Mohit Kumar Jolly, Vaibhav Anand Anand, Herbert Levine
article en

Abstract

Tumor growth occurs within a complex tumor microenvironment (TME) composed of many
interacting cell types. However, the signs of tumor-immune interactions in this ecosystem are
not random and possess a structure, the immune cell types in TME tend to organize into two
functional communities: a pro-tumor team and an anti-tumor team, each internally coopera-
tive but mutually antagonistic forming a two-team ecosystem. Quantitatively predicting the
ecological outcomes of such interactions remains challenging due to cellular diversity and in-
teraction variability, and the exact dynamical regimes accessible to such a two-team ecosystem
remain unknown. Here, we model tumor-immune interactions as a structured ecosystem with
two competing teams using a generalized Lotka-Volterra framework and analyze it using the
cavity method. We derive phase diagrams that delineate when these two communities coexist,
when one dominates, and how these outcomes depend on intra-team cooperation, cross-team
inhibition, and ecological heterogeneity. Our work provides a foundation for understanding
tumor-immune dynamics from a community ecology perspective.&#xD.

Physical Biology
Northeastern University (US), Indian Institute of Science Bangalore (IN)
Center for Theoretical Biological Physics
Openalex Percentile: Top 5%
Mathematical Biology Tumor Growth
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Ecological Dynamics of Pro-tumor and Anti-tumorTeams in the Tumor Microenvironment — Mohit Kumar Jolly, Vaibhav Anand Anand, et al. · Physical Biology (2026) | TGRS Research Map | TGRS