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Next-generation oncology: integrative therapeutic frontiers at the crossroads of precision genomics, immuno-engineering, and tumor microenvironment modulation.

作者信息

Alamri Ahmad M, Assiri Abdullah A, Khan Bushra, Khan Najeeb Ullah

机构信息

Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, 61413, Abha, Saudi Arabia.

Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, 61413, Abha, Saudi Arabia.

出版信息

Med Oncol. 2025 Sep 20;42(11):482. doi: 10.1007/s12032-025-03042-3.

DOI:10.1007/s12032-025-03042-3
PMID:40974488
Abstract

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.

摘要

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