The Evolutionary Memory of Cancer: From Oxygen Toxicity to Adaptive Mutation Simulation

This paper reframes cancer not merely as a pathological breakdown, but as a latent evolutionary mechanism—an internal simulation system reactivated under environmental crisis. Drawing parallels between the Great Oxidation Event and modern oxidative carcinogenesis, the study proposes that cancer may represent an adaptive mutation engine, historically retained for navigating unsolvable structural collapse. It explores the semantic memory of cells, cognitive analogies to semantic drift and misbinding, and therapeutic implications involving signal coherence rather than cellular destruction. By understanding cancer as a semantic divergence rather than just genetic error, this framework invites a new class of interventions—ones that restore meaning, not just suppress mutation.

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/3px2j
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94
Controls
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article

The Evolutionary Memory of Cancer: From Oxygen Toxicity to Adaptive Mutation Simulation

1 citations
Open Science Framework
Cancer Genomics and Diagnostics
0.94
article

The Evolutionary Memory of Cancer: From Oxygen Toxicity to Adaptive Mutation Simulation

article en
1 citations

Abstract

This paper reframes cancer not merely as a pathological breakdown, but as a latent evolutionary mechanism—an internal simulation system reactivated under environmental crisis. Drawing parallels between the Great Oxidation Event and modern oxidative carcinogenesis, the study proposes that cancer may represent an adaptive mutation engine, historically retained for navigating unsolvable structural collapse. It explores the semantic memory of cells, cognitive analogies to semantic drift and misbinding, and therapeutic implications involving signal coherence rather than cellular destruction. By understanding cancer as a semantic divergence rather than just genetic error, this framework invites a new class of interventions—ones that restore meaning, not just suppress mutation.

Open Science Framework
Openalex Percentile: Top 18%
Cancer Genomics and Diagnostics
0.94
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