Suppr超能文献

肿瘤内血管周围分布的单克隆抗体的剂量依赖性。

Dose dependence of intratumoral perivascular distribution of monoclonal antibodies.

机构信息

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

J Pharm Sci. 2012 Feb;101(2):860-7. doi: 10.1002/jps.22801. Epub 2011 Nov 4.

Abstract

Intravenously delivered antibodies have been previously found to distribute in a perivascular fashion in a variety of tumor types and despite targeting a range of different antigens. Properties of both the antibody and the targeted antigen, such as the administered dose, binding affinity, and antigen metabolic half-life, are predicted to influence the observed perivascular distribution. Here, the effect of antibody dose on the perivascular distribution is determined using an unbiased image analysis approach to quantify the microscopic distribution of the antibody around thousands of blood vessels per tumor. This method allows the quantitative determination of the localization of blood vessels, extravasated antibody, and tumor antigen following the administration of antibody doses covering two orders of magnitude in the dose range commonly utilized in preclinical studies. A mathematical model of antibody extravasation, diffusion, binding, and endocytosis in a Krogh cylinder geometry with parameters directly measured or taken from the literature is quantitatively consistent with the experimentally determined profiles. A previously reported scaling analysis is employed to extend these results to any tumor model in which the antigen density and turnover rate are known, allowing facile quantitative prediction of the minimum antibody dose required for complete tumor saturation.

摘要

先前发现,静脉注射的抗体在多种肿瘤类型中以血管周围的方式分布,尽管针对的是一系列不同的抗原。抗体和靶向抗原的特性,如给予的剂量、结合亲和力和抗原代谢半衰期,预计会影响观察到的血管周围分布。在这里,使用一种无偏倚的图像分析方法来确定抗体剂量对血管周围分布的影响,该方法可定量分析每肿瘤数千个血管周围的抗体微观分布。该方法允许在临床前研究中常用的剂量范围内覆盖两个数量级的抗体剂量给药后,定量测定血管、漏出的抗体和肿瘤抗原的定位。具有直接测量或取自文献的参数的Krogh 圆柱几何形状中的抗体外渗、扩散、结合和内吞作用的数学模型与实验确定的曲线定量一致。先前报道的比例分析被用来将这些结果扩展到任何已知抗原密度和周转率的肿瘤模型中,从而可以方便地预测完全饱和肿瘤所需的最小抗体剂量。

相似文献

引用本文的文献

10
Key metrics to expanding the pipeline of successful antibody-drug conjugates.成功的抗体药物偶联物的管道拓展的关键指标。
Trends Pharmacol Sci. 2021 Oct;42(10):803-812. doi: 10.1016/j.tips.2021.07.005. Epub 2021 Aug 26.

本文引用的文献

1
Delivering nanomedicine to solid tumors.将纳米药物递送至实体瘤。
Nat Rev Clin Oncol. 2010 Nov;7(11):653-64. doi: 10.1038/nrclinonc.2010.139. Epub 2010 Sep 14.
10
Drug resistance and the solid tumor microenvironment.耐药性与实体瘤微环境
J Natl Cancer Inst. 2007 Oct 3;99(19):1441-54. doi: 10.1093/jnci/djm135. Epub 2007 Sep 25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验