Abstract Multiple biological phenomena — including postmortem gene reactivation, malignant cellular behavior, and the programmed post-reproductive death of Pacific salmon — exhibit striking convergences in regulatory patterns: activation of stress and developmental transcriptional programs, deregulation of Ca²⁺ signaling, loss of differentiated identity, and collapse or restructuring of higher-order regulatory control. Traditionally, these phenomena are interpreted as fundamentally unrelated: postmortem transcription as biochemical inertia, cancer as genetic disease, and salmon senescence as evolutionary life-history strategy. Here, we propose a unifying systems-level hypothesis: that all three represent divergent manifestations of a deeply conserved, evolutionarily ancient cellular algorithm governing survival, stress response, and regression to primitive functional states. We argue that this ancestral regulatory core is conserved across metazoans, while evolutionary divergence has produced distinct modulatory layers and triggers, yielding radically different biological outcomes. Using concepts from systems biology, attractor theory, evolutionary biology, and regulatory network dynamics, we formalize a model in which these phenomena represent state transitions within a common regulatory architecture. We further outline testable predictions and empirical approaches that could validate or falsify the model. This work does not propose a new medical framework, but rather a theoretical integration of existing biological evidence into a coherent conceptual model. The unifying condition proposed is failure, collapse, or deliberate override of
Zakir Causevic (Mon,) studied this question.