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A predictive microfluidic model of human glioblastoma to assess trafficking of blood-brain barrier penetrant nanoparticles

Joelle P. Straehla, View ORCID ProfileCynthia Hajal, Hannah C. Safford, Giovanni S. Offeddu, Natalie Boehnke, Tamara G. Dacoba, Jeffrey Wyckoff, Roger D. Kamm, Paula T. Hammond
doi: https://doi.org/10.1101/2021.12.07.471663
Joelle P. Straehla
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
2Department of Pediatric Oncology, Dana-Farber Cancer Institute; Boston, MA, USA
3Division of Pediatric Hematology/Oncology, Boston Children’s Hospital; Boston, MA, USA
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Cynthia Hajal
4Department of Mechanical Engineering, Massachusetts Institute of Technology; Cambridge, MA, USA
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  • ORCID record for Cynthia Hajal
Hannah C. Safford
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
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Giovanni S. Offeddu
5Department of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA, USA
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Natalie Boehnke
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
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Tamara G. Dacoba
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
6Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade de Santiago de Compostela; Santiago de Compostela, Spain
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Jeffrey Wyckoff
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
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Roger D. Kamm
4Department of Mechanical Engineering, Massachusetts Institute of Technology; Cambridge, MA, USA
5Department of Biological Engineering, Massachusetts Institute of Technology; Cambridge, MA, USA
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Paula T. Hammond
1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Cambridge, MA, USA
7Department of Chemical Engineering, Massachusetts Institute of Technology; Cambridge, MA, USA
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  • For correspondence: hammond@mit.edu
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Abstract

The blood-brain barrier represents a significant challenge for the treatment of high-grade gliomas, and our understanding of drug transport across this critical biointerface remains limited. To advance preclinical therapeutic development for gliomas, there is an urgent need for predictive in vitro models with realistic blood-brain barrier vasculature. Here, we report a vascularized human glioblastoma (GBM) model in a microfluidic device that accurately recapitulates brain tumor vasculature with self-assembled endothelial cells, astrocytes, and pericytes to investigate the transport of targeted nanotherapeutics across the blood-brain barrier and into GBM cells. Using modular layer-by-layer assembly, we functionalized the surface of nanoparticles with GBM-targeting motifs to improve trafficking to tumors. We directly compared nanoparticle transport in our in vitro platform with transport across mouse brain capillaries using intravital imaging, validating the ability of the platform to model in vivo blood-brain barrier transport. We investigated the therapeutic potential of functionalized nanoparticles by encapsulating cisplatin and showed improved efficacy of these GBM-targeted nanoparticles both in vitro and in an in vivo orthotopic xenograft model. Our vascularized GBM model represents a significant biomaterials advance, enabling in-depth investigation of brain tumor vasculature and accelerating the development of targeted nanotherapeutics.

Significance Statement The blood-brain barrier represents a major therapeutic challenge for the treatment of glioblastoma, and there is an unmet need for in vitro models that recapitulate human biology and are predictive of in vivo response. Here we present a new microfluidic model of vascularized glioblastoma featuring a tumor spheroid in direct contact with self-assembled vascular networks comprised of human endothelial cells, astrocytes, and pericytes. This model was designed to accelerate the development of targeted nanotherapeutics, and enabled rigorous assessment of a panel of surface-functionalized nanoparticles designed to exploit a receptor overexpressed in tumor-associated vasculature. Trafficking and efficacy data in the in vitro model compared favorably to parallel in vivo data, highlighting the utility of the vascularized glioblastoma model for therapeutic development.

Competing Interest Statement

RDK is a co-founder of AIM Biotech that markets microfluidic systems for 3-dimensional culture and receives research funding from Amgen and Biogen. PTH is a co-founder and member of the board of LayerBio, a member of the Board of Alector, a member of the Scientific Advisory Board of Moderna, and receives research funding from Shepherd Pharmaceuticals, Novartis, and SecuraBio, all for work unrelated to this manuscript. All other authors report no competing interests.

Footnotes

  • ↵‡ These authors jointly supervised this work

  • Competing Interest Statement: RDK is a co-founder of AIM Biotech that markets microfluidic systems for 3-dimensional culture and receives research funding from Amgen and Biogen. PTH is a co-founder and member of the board of LayerBio, a member of the Board of Alector, a member of the Scientific Advisory Board of Moderna, and receives research funding from Shepherd Pharmaceuticals, Novartis, and SecuraBio, all for work unrelated to this manuscript. All other authors report no competing interests.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 07, 2021.
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A predictive microfluidic model of human glioblastoma to assess trafficking of blood-brain barrier penetrant nanoparticles
Joelle P. Straehla, Cynthia Hajal, Hannah C. Safford, Giovanni S. Offeddu, Natalie Boehnke, Tamara G. Dacoba, Jeffrey Wyckoff, Roger D. Kamm, Paula T. Hammond
bioRxiv 2021.12.07.471663; doi: https://doi.org/10.1101/2021.12.07.471663
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A predictive microfluidic model of human glioblastoma to assess trafficking of blood-brain barrier penetrant nanoparticles
Joelle P. Straehla, Cynthia Hajal, Hannah C. Safford, Giovanni S. Offeddu, Natalie Boehnke, Tamara G. Dacoba, Jeffrey Wyckoff, Roger D. Kamm, Paula T. Hammond
bioRxiv 2021.12.07.471663; doi: https://doi.org/10.1101/2021.12.07.471663

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