Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/78568

TitleThe tumor microenvironment: an introduction to the development of microfluidic devices
Author(s)Kundu, Banani
Caballero, David
Abreu, Catarina M.
Reis, R. L.
Kundu, Subhas C
KeywordsBiosensors
Microfluidics
Tumor microenvironment
Three-dimensions
In vitro tumor models
Metastasis
Issue dateJun-2022
PublisherSpringer
JournalAdvances in Experimental Medicine and Biology
CitationKundu B., Caballero D., Abreu C. M., Reis R. L., Kundu S. C. The Tumor Microenvironment: An Introduction to the Development of Microfluidic Devices, Microfluidics and Biosensors in Cancer Research. Advances in Experimental Medicine and Biology, Vol. 1379, pp. 115–138, doi:10.1007/978-3-031-04039-9_5, 2022
Abstract(s)The tumor microenvironment (TME) is like the Referee of a soccer match who has constant eyes on the activity of all players, such as cells, acellular stroma components, and signaling molecules for the successful completion of the game, that is, tumorigenesis. The cooperation among all the "team members" determines the characteristics of tumor, such as the hypoxic and acidic niche, stiffer mechanical properties, or dilated vasculature. Like in soccer, each TME is different. This heterogeneity makes it challenging to fully understand the intratumor dynamics, particularly among different tumor subpopulations and their role in therapeutic response or resistance. Further, during metastasis, tumor cells can disseminate to a secondary organ, a critical event responsible for approximately 90% of the deaths in cancer patients. The recapitulation of the rapidly changing TME in the laboratory is crucial to improve patients' prognosis for unraveling key mechanisms of tumorigenesis and developing better drugs. Hence, in this chapter, we provide an overview of the characteristic features of the TME and how to model them, followed by a brief description of the limitations of existing in vitro platforms. Finally, various attempts at simulating the TME using microfluidic platforms are highlighted. The chapter ends with the concerns that need to be addressed for designing more realistic and predictive tumor-on-a-chip platforms.
TypeBook part
URIhttps://hdl.handle.net/1822/78568
ISBN978-3-031-04038-2
e-ISBN978-3-031-04039-9
DOI10.1007/978-3-031-04039-9_5
ISSN0065-2598
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-031-04039-9_5#chapter-info
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:3B’s - Capítulos de Livros/Book Chapters

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