MR-guided focused ultrasound increases antibody delivery to nonenhancing high-grade glioma.

MRI blood brain barrier focused ultrasound high-grade glioma vasculature permeability

Journal

Neuro-oncology advances
ISSN: 2632-2498
Titre abrégé: Neurooncol Adv
Pays: England
ID NLM: 101755003

Informations de publication

Date de publication:
Historique:
entrez: 10 7 2020
pubmed: 10 7 2020
medline: 10 7 2020
Statut: epublish

Résumé

High-grade glioma (HGG) remains a recalcitrant clinical problem despite many decades of research. A major challenge in improving prognosis is the inability of current therapeutic strategies to address a clinically significant burden of infiltrating tumor cells that extend beyond the margins of the primary tumor mass. Such cells cannot be surgically excised nor efficiently targeted by radiation therapy. Therapeutic targeting of this tumor cell population is significantly hampered by the presence of an intact blood-brain barrier (BBB). In this study, we performed a preclinical investigation of the efficiency of MR-guided Focused Ultrasound (FUS) to temporarily disrupt the BBB to allow selective delivery of a tumor-targeting antibody to infiltrating tumor. Structural MRI, dynamic-contrast enhancement MRI, and histology were used to fully characterize the MR-enhancing properties of a patient-derived xenograft (PDX) orthotopic mouse model of HGG and to develop a reproducible, robust model of nonenhancing HGG. PET-CT imaging techniques were then used to evaluate the efficacy of FUS to increase The PDX mouse model of HGG has a significant tumor burden lying behind an intact BBB. Increased antibody uptake in nonenhancing tumor regions is directly proportional to the FUS-targeted volume. FUS locally increased antibody uptake in FUS-targeted regions of the tumor with an intact BBB, while leaving untargeted regions unaffected. FUS exposure successfully allowed temporary BBB disruption, localized to specifically targeted, nonenhancing, infiltrating tumor regions and delivery of a systemically administered antibody was significantly increased.

Sections du résumé

BACKGROUND BACKGROUND
High-grade glioma (HGG) remains a recalcitrant clinical problem despite many decades of research. A major challenge in improving prognosis is the inability of current therapeutic strategies to address a clinically significant burden of infiltrating tumor cells that extend beyond the margins of the primary tumor mass. Such cells cannot be surgically excised nor efficiently targeted by radiation therapy. Therapeutic targeting of this tumor cell population is significantly hampered by the presence of an intact blood-brain barrier (BBB). In this study, we performed a preclinical investigation of the efficiency of MR-guided Focused Ultrasound (FUS) to temporarily disrupt the BBB to allow selective delivery of a tumor-targeting antibody to infiltrating tumor.
METHODS METHODS
Structural MRI, dynamic-contrast enhancement MRI, and histology were used to fully characterize the MR-enhancing properties of a patient-derived xenograft (PDX) orthotopic mouse model of HGG and to develop a reproducible, robust model of nonenhancing HGG. PET-CT imaging techniques were then used to evaluate the efficacy of FUS to increase
RESULTS RESULTS
The PDX mouse model of HGG has a significant tumor burden lying behind an intact BBB. Increased antibody uptake in nonenhancing tumor regions is directly proportional to the FUS-targeted volume. FUS locally increased antibody uptake in FUS-targeted regions of the tumor with an intact BBB, while leaving untargeted regions unaffected.
CONCLUSIONS CONCLUSIONS
FUS exposure successfully allowed temporary BBB disruption, localized to specifically targeted, nonenhancing, infiltrating tumor regions and delivery of a systemically administered antibody was significantly increased.

Identifiants

pubmed: 32642689
doi: 10.1093/noajnl/vdaa030
pii: vdaa030
pmc: PMC7212871
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vdaa030

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

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Auteurs

Caterina Brighi (C)

Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, Brisbane, Australia.

Lee Reid (L)

Commonwealth Scientific and Industrial Research Organization, Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Alison L White (AL)

Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, Brisbane, Australia.

Laura A Genovesi (LA)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.

Marija Kojic (M)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.

Amanda Millar (A)

Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.

Zara Bruce (Z)

Department of Cell and Molecular Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.

Bryan W Day (BW)

Department of Cell and Molecular Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia.
School of Biomedical Sciences, The University of Queensland, Brisbane, Australia.

Stephen Rose (S)

Commonwealth Scientific and Industrial Research Organization, Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Andrew K Whittaker (AK)

Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, Brisbane, Australia.

Simon Puttick (S)

Commonwealth Scientific and Industrial Research Organization, Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia.

Classifications MeSH