Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology

作者：Ayesha Younas, Shuanghu Wang, Muhammad Asad, Abdullah Al Mamun, Saadat Majeed, Ali Sharif, Quan Zhou, Yunxiao Liu, Peiwu Geng, Chuxiao Shao, Jian Xiao · 发表于：Materials Today Bio · 年份：2025 · DOI：10.1016/j.mtbio.2025.102660 · 被引用次数：31 · 研究领域：Nanoparticle-Based Drug Delivery、Nanoplatforms for cancer theranostics、Cancer Research and Treatments

Cancer nanomedicine has evolved from the 1995 landmark approval of Doxil® into a programmable platform of precision oncology. The field now progresses along a coherent continuum that begins with passive enhanced permeability and retention (EPR)-mediated tumor accumulation, advances to active ligand-receptor targeting, and culminates in stimuli-responsive carriers whose cargo is liberated only when triggered by endogenous (acidic pH, redox imbalance, elevated GSH, dysregulated enzymes, ROS) or exogenous (light, magnetic, ultrasound, X-ray, electric) cues intrinsic to the tumor microenvironment (TME). This review maps this continuum, highlighting how the integration of patient-specific multi-omics data with artificial intelligence (AI) is converting tumor heterogeneity into quantitative design rules for nanocarrier optimization, validated in patient-derived organoids. Despite over 15 FDA-approved cancer nanomedicines and a robust clinical pipeline, translation is impeded by biological barriers, protein corona-mediated toxicity, manufacturing scalability issues, and a fragmented regulatory landscape. To bridge this bench-to-bedside chasm, we propose a convergent roadmap: safe-by-design engineering, quality-by-design modular manufacturing, and AI-guided digital twins coupled with micro/nano-robotic delivery for real-time, adaptive dosing. Realizing this vision will transform nanomedicine from an empirical carrier technology into a patient-calibrated, closed-loop therapeutic engin...