Abstract Carcinogenesis is traditionally conceptualized as a stochastic, mutation-driven process occurring primarily at the cellular level. Here we propose an integrated systems-level framework in which cancer risk emerges from progressive destabilization of hierarchical biological regulation. We extend the permissive-state model by identifying hypothalamic GnRH pulsatility as a central upstream regulator linking psychosocial stress, circadian disruption, and metabolic signals to downstream endocrine decline, epigenetic drift, transcriptional noise, and loss of genome-maintenance capacity. This framework is embedded within the NOAH6 hierarchical architecture (R0–R5), providing a structured causal model from regulatory input to molecular outcome. We operationalize the model through measurable biological variables and propose a dual validation strategy: (i) mechanistic testing in animal and in vitro systems, and (ii) longitudinal testing in human cohorts. The model is explicitly falsifiable and yields concrete predictions across biological scales. Together, this work offers a coherent theoretical–empirical roadmap for investigating systemic vulnerability states preceding malignancy.
Zakir Causevic (Mon,) studied this question.