Cancer is conventionally described as a genetic disease driven by oncogene activation and tumor suppressor gene inactivation. Although this paradigm has yielded substantial mechanistic insights, it fails to account for several fundamental observations: the convergence of diverse carcinogenic stimuli on a common malignant phenotype, the reversibility of malignancy observed in embryonic and cytoplasmic reprogramming experiments, and the striking metabolic and translational uniformity of tumors across tissues. Mutations arise randomly and with extensive genomic diversity, as demonstrated by classical fluctuation analyses. Accordingly, experimental chemical carcinogenesis would be expected to produce heterogeneous tumor phenotypes. In practice, however, remarkably similar malignant states emerge. Moreover, oncogene activation and stable oncoprotein expression typically appear during later stages of carcinogenesis, suggesting that they may not constitute the primary initiating events. Here, a complementary theoretical framework-the amino acid trap hypothesis-is proposed. This model posits that persistent disturbances in intracellular amino acid homeostasis and translational selectivity establish a self-sustaining metabolic state that stabilizes malignancy independently of initiating genetic lesions. Carcinogenic insults are proposed to induce transient inhibition of protein synthesis followed by excessive translational recovery, leading to chronic depletion of essential amino acids. This depletion biases translation toward long mRNAs encoding high-molecularweight and proliferation-associated proteins, while suppressing the synthesis of differentiationassociated proteins. As a consequence, malignant cells function as autonomous amino acid sinks, generating intracellular-extracellular concentration gradients that reinforce continuous nutrient influx and metabolic reprogramming. Within this framework, oncogene expression and tumor suppressor loss emerge as downstream consequences of altered translational dynamics rather than primary causal events. The amino acid trap hypothesis offers a unifying explanation for key empirical observations in cancer biology and generates specific, testable predictions concerning polysome structure, amino acid gradients, and translational control.