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

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 [CO2] and [HCO3−] (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 HCO3− 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/bies.70101

Authors

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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
Wiley
Journal:
BioEssays More from this journal
Volume:
48
Issue:
1
Article number:
e70101
Publication date:
2025-12-22
Acceptance date:
2025-12-10
DOI:
EISSN:
1521-1878
ISSN:
0265-9247


Language:
English
Subtype:
Review
Pubs id:
2355315
Local pid:
pubs:2355315
Source identifiers:
3585073
Deposit date:
2025-12-22
ARK identifier:
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