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AuthorAugustine R.
AuthorAqel A.H.
AuthorKalva S.N.
AuthorJoshy K.S.
AuthorNayeem A.
AuthorHasan, Anwarul
Available date2022-05-21T10:18:26Z
Publication Date2021
Publication NameTranslational Oncology
ResourceScopus
URIhttp://hdl.handle.net/10576/31265
URIhttp://dx.doi.org/10.1016/j.tranon.2021.101087
AbstractMetastasis is the major reason for most brain tumors with up to a 50% chance of occurrence in patients with other types of malignancies. Brain metastasis occurs if cancer cells succeed to cross the ?blood-brain barrier? (BBB). Moreover, changes in the structure and function of BBB can lead to the onset and progression of diseases including neurological disorders and brain-metastases. Generating BBB models with structural and functional features of intact BBB is highly important to better understand the molecular mechanism of such ailments and finding novel therapeutic agents targeting them. Hence, researchers are developing novel in vitro BBB platforms that can recapitulate the structural and functional characteristics of BBB. Brain endothelial cells-based in vitro BBB models have thus been developed to investigate the mechanism of brain metastasis through BBB and facilitate the testing of brain targeted anticancer drugs. Bioengineered constructs integrated with microfluidic platforms are vital tools for recapitulating the features of BBB in vitro closely as possible. In this review, we outline the fundamentals of BBB biology, recent developments in the microfluidic BBB platforms, and provide a concise discussion of diverse types of bioengineered BBB models with an emphasis on the application of them in brain metastasis and cancer research in general. We also provide insights into the challenges and prospects of the current bioengineered microfluidic platforms in cancer research.
Languageen
PublisherNeoplasia Press, Inc.
SubjectBBB models
Blood-brain barrier
Cancer
Metastasis
Microenvironment
Microfluidics
TitleBioengineered microfluidic blood-brain barrier models in oncology research
TypeArticle
Issue Number7
Volume Number14
dc.accessType Open Access


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