纳米医学
纳米技术
癌症
仿形(计算机编程)
癌症治疗
药物输送
风险分析(工程)
医学
计算机科学
数据科学
材料科学
内科学
纳米颗粒
操作系统
作者
Brian Youden,Runqing Jiang,Andrew Carrier,Mark R. Servos,Xu Zhang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2022-11-02
卷期号:16 (11): 17497-17551
被引量:20
标识
DOI:10.1021/acsnano.2c06337
摘要
Despite their clinical success in drug delivery applications, the potential of theranostic nanomedicines is hampered by mechanistic uncertainty and a lack of science-informed regulatory guidance. Both the therapeutic efficacy and the toxicity of nanoformulations are tightly controlled by the complex interplay of the nanoparticle's physicochemical properties and the individual patient/tumor biology; however, it can be difficult to correlate such information with observed outcomes. Additionally, as nanomedicine research attempts to gradually move away from large-scale animal testing, the need for computer-assisted solutions for evaluation will increase. Such models will depend on a clear understanding of structure-activity relationships. This review provides a comprehensive overview of the field of cancer nanomedicine and provides a knowledge framework and foundational interaction maps that can facilitate future research, assessments, and regulation. By forming three complementary maps profiling nanobio interactions and pathways at different levels of biological complexity, a clear picture of a nanoparticle's journey through the body and the therapeutic and adverse consequences of each potential interaction are presented.
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