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Other literature type . 2026
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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Cancer as a Coupling Disease: A Three-Condition Framework for Tissue Growth Governance with a Testable Therapeutic Prediction

Authors: Hanna, Robert;

Cancer as a Coupling Disease: A Three-Condition Framework for Tissue Growth Governance with a Testable Therapeutic Prediction

Abstract

We prove by exhaustive algebraic enumeration that cell proliferation governed by three simultaneous structural conditions — nearest-neighbor coupling (contact inhibition), binary proliferation gating (p53/RB), and second-order metabolic memory (mTOR/telomerase) — admits exactly one stable growth mode. Breaking any single condition produces exponential growth. Restoring any single condition in isolation either accelerates tumor growth or arrests tissue renewal entirely; only simultaneous restoration of all three returns the system to governed growth. All seven Hanahan-Weinberg cancer hallmarks map onto disruption of these three conditions (7→3→1 compression). The framework generates a specific, falsifiable prediction: triple-combination therapy (CDK4/6 inhibitor + mTOR inhibitor + YAP inhibitor) should produce a discontinuous phase transition in tumor growth kinetics, observable in standard cell culture. Independent confirmation is provided by the naked mole-rat, whose cancer immunity derives from redundant coupling gates rather than enhanced repair or immune surveillance.

Keywords

FOS: Mathematics, Mathematics, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Cancer Research