Med Oncol. 2025 Sep 20. 42(11): 482
The landscape of oncology is undergoing a paradigm shift, transitioning from conventional cytotoxic therapies to an integrative, intelligence-driven framework that combines precision genomics, immunoengineering, and modulation of the tumor microenvironment (TME). This review explores how cancer, as a complex adaptive system (CAS), evolves through genetic, epigenetic, and microenvironmental interactions, necessitating dynamic, multi-dimensional therapeutic strategies. Review highlights the limitations of mono-targeted therapies and the emergence of synergistic approaches, including AI-guided adaptive dosing, synthetic biology-enhanced CAR-T cells, and metabolic reprogramming of the tumor microenvironment (TME). Breakthroughs in molecular cartography, quantum biology, synthetic oncology, and dark genome mining are expanding therapeutic frontiers. Meanwhile, immuno-engineering innovations-such as next-generation checkpoint modulators, logic-gated CAR-T cells, and neoantigen vaccines-are redefining immune-oncology. Additionally, TME-targeted strategies, including stromal remodeling, hypoxia modulation, and microbiome engineering, are helping to overcome treatment resistance. The convergence of multi-omics profiling, combinatorial therapeutics, and computational oncology (e.g., digital twins) is enabling real-time, personalized interventions. Despite these advances, challenges persist-therapeutic resistance, toxicity, accessibility, and ethical concerns-demanding interdisciplinary collaboration and equitable innovation. The future lies in adaptive, autonomous oncology, integrating AI, closed-loop therapies, and modular mRNA platforms to deliver precision medicine at scale. This review underscores the imperative for a unified, systems-based approach to transform cancer into a manageable condition.
Keywords: Computational Oncology; Immuno-Engineering; Precision Genomics; Synthetic Oncology; Tumor Microenvironment (TME)