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本文引用的文献

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Patterns of Vasculature in Mouse Models of Lung Cancer Are Dependent on Location.肺癌小鼠模型中的血管模式取决于位置。
Mol Imaging Biol. 2017 Apr;19(2):215-224. doi: 10.1007/s11307-016-1010-5.
2
Cancer nanomedicine: Is targeting our target?癌症纳米医学:我们瞄准的是目标吗?
Nat Rev Mater. 2016 Sep;1(9). doi: 10.1038/natrevmats.2016.69. Epub 2016 Sep 7.
3
Predicting therapeutic nanomedicine efficacy using a companion magnetic resonance imaging nanoparticle.使用配套磁共振成像纳米颗粒预测治疗性纳米药物的疗效。
Sci Transl Med. 2015 Nov 18;7(314):314ra183. doi: 10.1126/scitranslmed.aac6522.
4
Tumour-associated macrophages act as a slow-release reservoir of nano-therapeutic Pt(IV) pro-drug.肿瘤相关巨噬细胞充当纳米治疗性铂(IV)前药的缓释库。
Nat Commun. 2015 Oct 27;6:8692. doi: 10.1038/ncomms9692.
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Nanomedicines for cancer therapy: state-of-the-art and limitations to pre-clinical studies that hinder future developments.用于癌症治疗的纳米药物:阻碍未来发展的临床前研究的现状和局限性。
Front Chem. 2014 Aug 25;2:69. doi: 10.3389/fchem.2014.00069. eCollection 2014.
6
Tumor-associated macrophages as major players in the tumor microenvironment.肿瘤相关巨噬细胞作为肿瘤微环境中的主要参与者。
Cancers (Basel). 2014 Aug 13;6(3):1670-90. doi: 10.3390/cancers6031670.
7
Barriers to drug delivery in solid tumors.实体瘤中药物递送的障碍。
Tissue Barriers. 2014 Jul 22;2:e29528. doi: 10.4161/tisb.29528. eCollection 2014.
8
Investigating the impact of nanoparticle size on active and passive tumor targeting efficiency.研究纳米颗粒大小对主动和被动肿瘤靶向效率的影响。
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9
Radioactive 198Au-doped nanostructures with different shapes for in vivo analyses of their biodistribution, tumor uptake, and intratumoral distribution.具有不同形状的放射性198Au掺杂纳米结构用于体内生物分布、肿瘤摄取和瘤内分布分析。
ACS Nano. 2014 May 27;8(5):4385-94. doi: 10.1021/nn406258m. Epub 2014 Apr 30.
10
Passive versus active tumor targeting using RGD- and NGR-modified polymeric nanomedicines.使用RGD和NGR修饰的聚合物纳米药物进行被动与主动肿瘤靶向
Nano Lett. 2014 Feb 12;14(2):972-81. doi: 10.1021/nl404391r. Epub 2014 Jan 17.

通过粒径、肿瘤类型和位置介导的被动肿瘤积累。

Mediating Passive Tumor Accumulation through Particle Size, Tumor Type, and Location.

机构信息

Department of Chemical and Biomolecular Engineering, North Carolina State University , Raleigh, North Carolina 27695, United States.

出版信息

Nano Lett. 2017 May 10;17(5):2879-2886. doi: 10.1021/acs.nanolett.7b00021. Epub 2017 Apr 11.

DOI:10.1021/acs.nanolett.7b00021
PMID:28287740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5708115/
Abstract

As the enhanced permeation and retention (EPR) effect continues to be a controversial topic in nanomedicine, we sought to examine EPR as a function of nanoparticle size, tumor model, and tumor location, while also evaluating tumors for EPR mediating factors such as microvessel density, vascular permeability, lymphatics, stromal content, and tumor-associated immune cells. Tumor accumulation was evaluated for 55 × 60, 80 × 180, and 80 × 320 nm PRINT particles in four subcutaneous flank tumor models (SKOV3 human ovarian, 344SQ murine nonsmall cell lung, A549 human nonsmall cell lung, and A431 human epidermoid cancer). Each tumor model revealed specific particle accumulation trends with evident particle size dependence. Immuno-histochemistry staining revealed differences in tumor microvessel densities that correlated with overall tumor accumulation. Immunofluorescence images displayed size-mediated tumor penetration with signal from the larger particles concentrated close to the blood vessels, while signal from the smaller particle was observed throughout the tissue. Differences were also observed for the 55 × 60 nm particle tumor penetration across flank tumor models as a function of stromal content. The 55 × 60 nm particles were further evaluated in three orthotopic, metastatic tumor models (344SQ, A549, and SKOV3), revealing preferential accumulation in primary tumors and metastases over healthy tissue. Moreover, we observed higher tumor accumulation in the orthotopic lung cancer models than in the flank lung cancer models, whereas tumor accumulation was constant for both orthotopic and flank ovarian cancer models, further demonstrating the variability in the EPR effect as a function of tumor model and location.

摘要

作为增强型渗透和保留(EPR)效应在纳米医学中仍然是一个有争议的话题,我们试图研究 EPR 作为纳米颗粒大小、肿瘤模型和肿瘤位置的函数,同时还评估了肿瘤中的 EPR 介导因子,如微血管密度、血管通透性、淋巴管、基质含量和肿瘤相关免疫细胞。在四个皮下 flank 肿瘤模型(SKOV3 人卵巢、344SQ 鼠非小细胞肺癌、A549 人非小细胞肺癌和 A431 人表皮样癌)中评估了 55×60、80×180 和 80×320nm PRINT 颗粒的肿瘤积累。每个肿瘤模型都揭示了特定的颗粒积累趋势,具有明显的颗粒尺寸依赖性。免疫组织化学染色显示了肿瘤微血管密度的差异,这些差异与总体肿瘤积累相关。免疫荧光图像显示了大小介导的肿瘤穿透,较大颗粒的信号集中在血管附近,而较小颗粒的信号则分布在整个组织中。在 flank 肿瘤模型中,55×60nm 颗粒的肿瘤穿透也因基质含量的不同而有所不同。55×60nm 颗粒在三个原位、转移性肿瘤模型(344SQ、A549 和 SKOV3)中进一步进行了评估,结果显示在原发性肿瘤和转移瘤中优先积累,而在健康组织中则较少积累。此外,我们观察到在原位肺癌模型中的肿瘤积累高于 flank 肺癌模型,而在原位和 flank 卵巢癌模型中,肿瘤积累是恒定的,这进一步证明了 EPR 效应作为肿瘤模型和位置的函数存在可变性。