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Influence of lung cancer model characteristics on tumor targeting behavior of nanodrugs

并行传输 跨细胞 癌症研究 医学 血管生成 肺癌 血管通透性 磁导率 病理 内科学 化学 生物物理学 生物 生物化学
作者
Weixia Xu,Shengmin Yang,Linwei Lu,Qianzhu Xu,Sunyi Wu,Jianfen Zhou,Jiashen Lu,Xingyan Fan,Nana Meng,Yuan Ding,Xudong Zheng,Weiyue Lu
出处
期刊:Journal of Controlled Release [Elsevier]
卷期号:354: 538-553 被引量:17
标识
DOI:10.1016/j.jconrel.2023.01.026
摘要

Evidence is mounting that there is a significant gap between the antitumor efficacy of nanodrugs in preclinical mouse tumor models and in clinical human tumors, and that differences in tumor models are likely to be responsible for this gap. Herein, we investigated the enhanced permeability and retention (EPR) effect in mouse lung cancer models with different tumor growth rates, volumes and locations, and analyzed the nanodrug tumor targeting behaviors limited by tumor vascular pathophysiological characteristics in various tumor models. The results showed that the fast-growing tumors were characterized by lower vascular tight junctions, leading to higher vascular paracellular transport activity and nanodrug tumor accumulation. The paracellular transport activity increased with the growth of tumor, but the vascular density and transcellular transport activity decreased, and as a result, the average tumor accumulation of passive targeting nanodrugs decreased. Orthotopic tumors were rich in blood vessels, but had low vascular transcellular and paracellular transport activities, making it difficult for nanodrug accumulation in orthotopic tumors via passive targeting strategies. The antitumor efficacy of passive targeting nanodrugs in various lung cancer-bearing mice validated the aforementioned nanodrug accumulation behavior, and nanodrugs based on the angiogenesis-tumor sequential targeting strategy achieved obviously improved efficacy in orthotopic lung cancer-bearing mice. These results suggest that the EPR effect varies in different tumor models and should not be used as a universal targeting strategy for antitumor nanodrugs. Besides, attention should be paid to the animal tumor models in the evaluation of nanodrugs so as to avoid exaggerating the antitumor efficacy.
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