The Tumor Probability Collapse Theorem: Quantitative Limits on Mutation-Only Tumor Formation

Traditional oncology operates under the assumption that cancer is a cumulative genetic error. However, this mutation-centric paradigm fails to explain phenotypic convergence, therapeutic resistance, and the statistical impossibility of tumor formation via stochastic events alone. This paper introduces the Tumor Probability Collapse Theorem (Micro-TNA), demonstrating a 70-order-of-magnitude discrepancy between mutational combinatorial space and observed oncogenesis. By applying the Theory of Axiomatic Necessity (TNA), we redefine late-stage cancer as a post-genetic thermodynamic regime. We show that malignancy is not driven by genetic novelty, but by the collapse of metabolic throughput (Psi) below a critical threshold (Psicrit). When a system can no longer export entropy (), it undergoes a phase transition from a specialized functional state (N^1) to a primitive, "functionally closed" survival state (N^0). This framework provides a quantitative basis for Medical Irreversibility, explaining why targeted therapies fail once the system enters a malignant attractor. We propose a shift from "fixing the code" to "engineering the flow," identifying the restoration of throughput as the primary requirement for system stability.