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肿瘤细胞特异性在体内是否有别于肿瘤选择性?:纳米脂质体靶向的定量近红外分子成像分析

Is Tumor Cell Specificity Distinct from Tumor Selectivity In Vivo?: A Quantitative NIR Molecular Imaging Analysis of Nanoliposome Targeting.

作者信息

Obaid Girgis, Samkoe Kimberley, Tichauer Kenneth, Bano Shazia, Park Yeonjae, Silber Zachary, Hodge Sassan, Callaghan Susan, Guirguis Mina, Mallidi Srivalleesha, Pogue Brian, Hasan Tayyaba

机构信息

Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, U.S.

Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, U.S.

出版信息

Nano Res. 2021 May;14(5):1344-1354. doi: 10.1007/s12274-020-3178-x. Epub 2020 Nov 27.

DOI:10.1007/s12274-020-3178-x
PMID:33717420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7951968/
Abstract

The significance and ability for receptor targeted nanoliposomes (tNLs) to bind to their molecular targets in solid tumors has been questioned, particularly as the efficiency of their tumor accumulation and selectivity is not always predictive of their efficacy or molecular specificity. This study presents, for the first time, NIR molecular imaging-based quantitation of the specificity of tNLs for their target receptors, as opposed to tumor selectivity, which includes influences of enhanced tumor permeability and retention. Results show that neither tumor delivery nor selectivity (tumor-to-normal ratio) of cetuximab and IRDye conjugated tNLs correlate with EGFR expression in U251, U87 and 9L tumors, and in fact underrepresent their imaging-derived molecular specificity by up to 94.2%. Conversely, their specificity, which we quantify as the concentration of tNL-reported tumor EGFR provided by NIR molecular imaging, correlates positively with EGFR expression levels and (Pearson's r= 0.92 and 0.96, respectively). This study provides a unique opportunity to address the problematic disconnect between tNL synthesis and specificity. The findings encourage their continued adoption as platforms for precision medicine, and facilitates intelligent synthesis and patient customization in order to improve safety profiles and therapeutic outcomes.

摘要

受体靶向纳米脂质体(tNLs)在实体瘤中与分子靶点结合的意义和能力受到了质疑,尤其是因为它们在肿瘤中的蓄积效率和选择性并不总能预测其疗效或分子特异性。本研究首次提出基于近红外分子成像对tNLs与其靶受体特异性进行定量分析,而非肿瘤选择性分析,后者包括肿瘤高通透性和滞留效应的影响。结果显示,西妥昔单抗和IRDye偶联的tNLs在U251、U87和9L肿瘤中的肿瘤递送和选择性(肿瘤与正常组织比值)均与表皮生长因子受体(EGFR)表达无关,实际上,相较于通过成像得出的分子特异性,其低了94.2%。相反,我们通过近红外分子成像将其特异性定量为tNLs所报告的肿瘤EGFR浓度,该浓度与EGFR表达水平呈正相关(皮尔逊相关系数分别为0.92和0.96)。本研究为解决tNLs合成与特异性之间存在的问题脱节提供了独特契机。这些发现鼓励继续采用它们作为精准医学平台,并有助于进行智能合成和患者定制,以改善安全性和治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/957b0b4e34c9/nihms-1671084-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/b4bedd048d53/nihms-1671084-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/38177036c24c/nihms-1671084-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/79c8621ba06b/nihms-1671084-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/4d30681422d0/nihms-1671084-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/957b0b4e34c9/nihms-1671084-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/b4bedd048d53/nihms-1671084-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/38177036c24c/nihms-1671084-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/79c8621ba06b/nihms-1671084-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/4d30681422d0/nihms-1671084-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d46/7951968/957b0b4e34c9/nihms-1671084-f0005.jpg

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