This work proposes a unifying theoretical framework based on the principle of Dynamic and Creative Persistence (DCP), which reconceptualizes life, and cancer, as an adaptive interplay of bioenergy, bioinformation, and biostructure. Within this lens, cancer is not merely a condition caused by genetic alterations, but a cyclical, self-organizing system that co-evolves with its environment. Its survival depends on internal coherence and the ability to reshape its ecological niche. The breakdown of organismal homeodynamics, particularly the disruption of the internal body-climate, is viewed as a critical precursor to oncogenesis. This model advocates for early interception, focusing on preclinical metabolomic shifts, systemic vulnerabilities, and niche formation. Integration of multi-omics, liquid biopsy, and AI-guided analysis enables highly individualized, anticipatory diagnostics. Preventive interventions, such as exercise, circadian rhythm optimization, diet modulation, and psychophysiological stress reduction, are proposed as systemic recalibrators, aiming to restore homeodynamic balance and enhance resilience before malignancy becomes entrenched. Therapeutically, the homeodynamic model calls for a shift from a paradigm of cellular destruction to one of dynamic rebalancing, viewing cancer treatment not as eradication but as modulation of the disease’s generative processes. Beyond molecular targets, the framework expands to include metabolic nodes (e.g., acetyl-CoA), phenotypic transitions, exosomal communication, splicing regulation, and proteostasis control. As precision oncology reaches limitations, particularly in metastatic disease, combining systemic interventions, AI-orchestrated personalization, and organism-level therapies represent a promising frontier. Cancer treatment becomes not a war, but an intelligent, adaptive stewardship of life’s homeodynamic balance.