Using Mathematical Modeling of Tumor Metabolism to Predict the Magnitude, Composition, and Hypoxic Interactions of Microenvironment Acidosis

In well-perfused tissues, interstitial composition resembles capillary plasma. Solid tumors break this norm because cancer cell proliferation outpaces vascular expansion, leading to a diffusion-limited tumor microenvironment (TME) that is notably depleted of oxygen and enriched in acids. The magnitude of tumor acidosis; its chemical composition in terms of [CO<sub>2</sub>] and [HCO<sub>3</sub> <sup>-</sup>] (components of the major extracellular buffer); and its relationship with hypoxia are not intuitive to predict but important to know for designing experiments and contextualising results. We address these timely questions using mathematical models of a monolayer, spheroid, and poorly-perfused tissue. Our simulations suggest a physiologically realistic TME pH range of 6.7-7.4, reveal a prominence of hypercapnia, and indicate varying levels of HCO<sub>3</sub> <sup>-</sup> depletion or accumulation arising from fermentation and respiration, respectively. The trajectories of tumor hypoxia and acidosis depend on the balance between aerobic and anaerobic pathways, with important consequences on hypoxic signaling where many responses are pH-sensitive.

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Journal
BioEssays
Published
2025-12-22
DOI
https://doi.org/10.1002/bies.70101
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

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article

Using Mathematical Modeling of Tumor Metabolism to Predict the Magnitude, Composition, and Hypoxic Interactions of Microenvironment Acidosis

Pawel Swietach, Alzbeta Hulikova
BioEssays
Cancer, Hypoxia, and Metabolism
article

Using Mathematical Modeling of Tumor Metabolism to Predict the Magnitude, Composition, and Hypoxic Interactions of Microenvironment Acidosis

Pawel Swietach, Alzbeta Hulikova
article en

Abstract

In well-perfused tissues, interstitial composition resembles capillary plasma. Solid tumors break this norm because cancer cell proliferation outpaces vascular expansion, leading to a diffusion-limited tumor microenvironment (TME) that is notably depleted of oxygen and enriched in acids. The magnitude of tumor acidosis; its chemical composition in terms of [CO<sub>2</sub>] and [HCO<sub>3</sub> <sup>-</sup>] (components of the major extracellular buffer); and its relationship with hypoxia are not intuitive to predict but important to know for designing experiments and contextualising results. We address these timely questions using mathematical models of a monolayer, spheroid, and poorly-perfused tissue. Our simulations suggest a physiologically realistic TME pH range of 6.7-7.4, reveal a prominence of hypercapnia, and indicate varying levels of HCO<sub>3</sub> <sup>-</sup> depletion or accumulation arising from fermentation and respiration, respectively. The trajectories of tumor hypoxia and acidosis depend on the balance between aerobic and anaerobic pathways, with important consequences on hypoxic signaling where many responses are pH-sensitive.

BioEssaysVol. 48(1)
University of Oxford (GB)
Medical Research Council
Openalex Percentile: Top 35%
Cancer, Hypoxia, and Metabolism
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Using Mathematical Modeling of Tumor Metabolism to Predict the Magnitude, Composition, and Hypoxic Interactions of Microenvironment Acidosis — Pawel Swietach, Alzbeta Hulikova · BioEssays (2025) | TGRS Research Map | TGRS