Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
02 08 2022
Historique:
entrez: 22 8 2022
pubmed: 23 8 2022
medline: 25 8 2022
Statut: epublish

Résumé

Brain metastasis is a cause of severe morbidity and mortality in cancer patients. Critical aspects of metastatic diseases, such as the complex neural microenvironment and stromal cell interaction, cannot be entirely replicated with in vitro assays; thus, animal models are critical for investigating and understanding the effects of therapeutic intervention. However, most brain tumor xenografting methods do not produce brain metastases consistently in terms of the time frame and tumor burden. Brain metastasis models generated by intracardiac injection of cancer cells can result in unintended extracranial tumor burden and lead to non-brain metastatic morbidity and mortality. Although intracranial injection of cancer cells can limit extracranial tumor formation, it has several caveats, such as the injected cells frequently form a singular tumor mass at the injection site, high leptomeningeal involvement, and damage to brain vasculature during needle penetration. This protocol describes a mouse model of brain metastasis generated by internal carotid artery injection. This method produces intracranial tumors consistently without the involvement of other organs, enabling the evaluation of therapeutic agents for brain metastasis.

Identifiants

pubmed: 35993751
doi: 10.3791/64216
doi:

Types de publication

Journal Article Video-Audio Media Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Malcolm Lim (M)

UQ Centre for Clinical Research, The University of Queensland.

Nicholas Fletcher (N)

Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology and ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland.

Amy McCart Reed (A)

UQ Centre for Clinical Research, The University of Queensland.

Melanie Flint (M)

School of Biomedical Sciences, The University of Queensland.

Kristofer Thurecht (K)

Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology and ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland.

Jodi Saunus (J)

UQ Centre for Clinical Research, The University of Queensland; Mater Research and Mater Research Institute, The University of Queensland.

Sunil R Lakhani (SR)

UQ Centre for Clinical Research, The University of Queensland; Pathology Queensland, Royal Brisbane Women's Hospital; s.lakhani@uq.edu.au.

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Classifications MeSH