Why Mutation-Centric Models Fail at Late-Stage Cancer

"Like Mohawk ironworkers on early skyscrapers, these papers are written without guardrails. The danger is not falling — it is realizing how high you already are.” Traditional oncology has long been dominated by mutation-centric paradigms, framing cancer as a cumulative genetic error. However, these models often fail to explain phenotypic convergence and therapeutic resistance in advanced stages. This paper proposes a thermodynamic reinterpretation based on the Theorem of Axiomatic Necessity (TNA), arguing that late-stage cancer is not a product of genetic novelty but a consequence of entropy export failure. By applying the fundamental TNA equation ({d\aleph}{dt} = G - Psi), we demonstrate that once cellular throughput (Psi) collapses, the resulting incoherence accumulation (aleph) forces a regression from specialized functional structures (N^1) to a primitive, high-entropy survival state (N^0). In this framework, late-stage malignancy is viewed as a post-genetic entropic regression where thermodynamic constraints on viability override specific oncogenic drivers. This model shifts the focus from gene-list variation to the mechanical restoration of throughput, offering testable predictions for microenvironmental influence on tumor stability.