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通过多层细胞培养模型阐明纳米颗粒在实体瘤中的摄取和分布

Elucidating the Uptake and Distribution of Nanoparticles in Solid Tumors via a Multilayered Cell Culture Model.

作者信息

Yohan Darren, Cruje Charmainne, Lu Xiaofeng, Chithrani Devika

机构信息

1Department of Physics, Ryerson University, 350 Victoria Street, Toronto, ON Canada.

2Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON Canada.

出版信息

Nanomicro Lett. 2015;7(2):127-137. doi: 10.1007/s40820-014-0025-1. Epub 2014 Dec 23.

DOI:10.1007/s40820-014-0025-1
PMID:30464963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6223939/
Abstract

Multicellular layers (MCLs) have previously been used to determine the pharmacokinetics of a variety of different cancer drugs including paclitaxel, doxorubicin, methotrexate, and 5-fluorouracil across a number of cell lines. It is not known how nanoparticles (NPs) navigate through the tumor microenvironment once they leave the tumor blood vessel. In this study, we used the MCL model to study the uptake and penetration dynamics of NPs. Gold nanoparticles (GNPs) were used as a model system to map the NP distribution within tissue-like structures. Our results show that NP uptake and transport are dependent on the tumor cell type. MDA-MB-231 tissue showed deeper penetration of GNPs as compared to MCF-7 one. Intracellular and extracellular distributions of NPs were mapped using CytoViva imaging. The ability of MCLs to mimic tumor tissue characteristics makes them a useful tool in assessing the efficacy of particle distribution in solid tumors.

摘要

多细胞层（MCLs）此前已被用于测定多种不同癌症药物（包括紫杉醇、阿霉素、甲氨蝶呤和5-氟尿嘧啶）在多个细胞系中的药代动力学。纳米颗粒（NPs）一旦离开肿瘤血管，如何在肿瘤微环境中穿行尚不清楚。在本研究中，我们使用MCL模型来研究NPs的摄取和渗透动力学。金纳米颗粒（GNPs）被用作模型系统来绘制NPs在类组织结构中的分布。我们的结果表明，NP的摄取和转运取决于肿瘤细胞类型。与MCF-7组织相比，MDA-MB-231组织中GNPs的渗透更深。使用CytoViva成像绘制了NPs的细胞内和细胞外分布。MCLs模拟肿瘤组织特征的能力使其成为评估实体瘤中颗粒分布效果的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/f5e72f839a91/40820_2014_25_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/e2b97cc69d68/40820_2014_25_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/46c90362cd7c/40820_2014_25_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/7f8d50ab8c89/40820_2014_25_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/979b2913e144/40820_2014_25_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/5a9677ac80db/40820_2014_25_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/ce643f1e7de5/40820_2014_25_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/db2f2e81168e/40820_2014_25_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/f5e72f839a91/40820_2014_25_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/e2b97cc69d68/40820_2014_25_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/46c90362cd7c/40820_2014_25_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/7f8d50ab8c89/40820_2014_25_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/979b2913e144/40820_2014_25_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/5a9677ac80db/40820_2014_25_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/ce643f1e7de5/40820_2014_25_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/db2f2e81168e/40820_2014_25_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba60/6223939/f5e72f839a91/40820_2014_25_Fig8_HTML.jpg

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[5]
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[6]
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[7]
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[9]
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[10]
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