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通过调节局部保留时间来提高肿瘤内免疫治疗在小鼠中的反应。

Maximizing response to intratumoral immunotherapy in mice by tuning local retention.

机构信息

Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA.

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02142, USA.

出版信息

Nat Commun. 2022 Jan 10;13(1):109. doi: 10.1038/s41467-021-27390-6.

Abstract

Direct injection of therapies into tumors has emerged as an administration route capable of achieving high local drug exposure and strong anti-tumor response. A diverse array of immune agonists ranging in size and target are under development as local immunotherapies. However, due to the relatively recent adoption of intratumoral administration, the pharmacokinetics of locally-injected biologics remains poorly defined, limiting rational design of tumor-localized immunotherapies. Here we define a pharmacokinetic framework for biologics injected intratumorally that can predict tumor exposure and effectiveness. We find empirically and computationally that extending the tumor exposure of locally-injected interleukin-2 by increasing molecular size and/or improving matrix-targeting affinity improves therapeutic efficacy in mice. By tracking the distribution of intratumorally-injected proteins using positron emission tomography, we observe size-dependent enhancement in tumor exposure occurs by slowing the rate of diffusive escape from the tumor and by increasing partitioning to an apparent viscous region of the tumor. In elucidating how molecular weight and matrix binding interplay to determine tumor exposure, our model can aid in the design of intratumoral therapies to exert maximal therapeutic effect.

摘要

直接将疗法注入肿瘤已成为一种给药途径,能够实现高局部药物暴露和强烈的抗肿瘤反应。各种大小和靶标的免疫激动剂正在被开发为局部免疫疗法。然而,由于最近才采用肿瘤内给药,局部注射的生物制剂的药代动力学仍未得到很好的定义,限制了肿瘤局部免疫疗法的合理设计。在这里,我们为肿瘤内注射的生物制剂定义了一个药代动力学框架,可以预测肿瘤暴露和效果。我们通过实验和计算发现,通过增加分子大小和/或提高基质靶向亲和力来延长局部注射的白细胞介素 2 的肿瘤暴露时间,可以提高小鼠的治疗效果。通过使用正电子发射断层扫描(PET)跟踪肿瘤内注射蛋白的分布,我们观察到,通过减缓从肿瘤扩散的速度和增加向肿瘤粘性区域的分配,肿瘤暴露会出现尺寸依赖性增强。在阐明分子量和基质结合如何相互作用以确定肿瘤暴露时,我们的模型可以帮助设计肿瘤内治疗方法以发挥最大的治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a0/8748612/d75dfc9e48ca/41467_2021_27390_Fig1_HTML.jpg

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