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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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A Structural Audit Framework for Cell-State Transition in Cancer Microenvironments

Authors: Chung, Sung Sil;

A Structural Audit Framework for Cell-State Transition in Cancer Microenvironments

Abstract

This work proposes a minimal structural audit framework for cell-state transition in cancer microenvironments. Rather than treating malignant transition solely as a late phenotypic event, it separates biological state into three layers: phenotypic state, architectural state, and coupling state. The framework introduces a retained-order score, a triadic audit layer, and a first-priority pilot system based on normal epithelial cells exposed to tumor-conditioned medium under short-horizon observation. The document is intended as a hypothesis-generating and experimentally testable interdisciplinary framework, not as a replacement for existing molecular oncology or tumor immunology.

Keywords

pre-phenotypic transition, cell-state transition, tumor-conditioned medium, hypothesis-generating framework, structural audit, retained order, coupling instability, cancer microenvironment

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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
Average
Average
Related to Research communities
Cancer Research
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