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Nanomedicine-based cancer immunotherapy: translational barriers, mechanistic strategies, and future perspectives

delete2026-05-27
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OA
AI
X
Xiaoman Suo
Y
Yingnan Liu
G
Guofang Zhang *
Y
Yang Li *
DOI:10.1080/10717544.2026.2679846delete
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Abstract

Abstract

En 中文
Nanomedicine-based cancer immunotherapy integrates nanotechnology with immune modulation, representing a promising strategy to improve both the efficacy and safety of cancer treatment. Despite substantial preclinical potential, clinical translation is hindered by interconnected challenges in pharmacology, pharmacodynamics, and long-term safety. This mechanism-oriented prospective analyzes translational bottlenecks, pharmacological uncertainty from biomolecular corona, suboptimal pharmacodynamics due to tumor barriers, and metabolism/excretion affecting biosafety. Using a concept-driven framework, we link nano-bio interactions to clinical outcomes within a ‘barrier-strategy’ paradigm. Corresponding strategies such as mechanism-driven design, AI-assisted optimization, and advanced delivery systems are discussed, with emphasis on safety-by-design principles. Collectively, this perspective provides a forward-looking roadmap for future research, underscoring the importance of integrated technologies, advanced translational models, and scalable manufacturing to fully realize the clinical potential of nanoimmunotherapy.
Keywords:
Nanomedicines
cancer immunotherapy
protein corona
nano-molecular specific interaction
artificial intelligence

Journal

Drug Delivery cover
Drug Delivery
IF:
8.1
Papers:
2.7K
Citations:
1.3W

Organization

C
chinese academy of sciences
Scholars:
54.9W
Papers: 44.5W
Citations: 703
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