TNA in Oncology: Throughput, Incoherence, and Tumor Dynamics

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Authors: Claudio Bresciano
Cited by: 0

Abstract

Cancer is traditionally modeled through genetic mutations, signaling pathway dysregulation, and tumor microenvironment alterations. This paper proposes a TNA-based framework, viewing tissues as open systems where cellular coherence requires continuous throughput (Ψ) to discharge incoming incoherence (G). When G exceeds Ψ, accumulated incoherence (ℵ) manifests as uncontrolled proliferation, tumor formation, or metastatic spread. Phenomena such as tumor heterogeneity, chemoresistance, and relapse are reframed as throughput saturation rather than isolated molecular failures. The model is falsifiable, predictive, and integrates metabolism, immune surveillance, and tissue repair into a unified framework.

Fields of Study & Subjects

Cancer Research and Treatments Mathematical Biology Tumor Growth Advanced Fluorescence Microscopy Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026
Language
EN