Self-Assembled Peptide Habitats to Model Tumor Metastasis

Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals...

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Bibliographic Details
Main Authors: Noora Al Balushi, Mitchell Boyd-Moss, Rasika M. Samarasinghe, Aaqil Rifai, Stephanie J. Franks, Kate Firipis, Benjamin M. Long, Ian A. Darby, David R. Nisbet, Dodie Pouniotis, Richard J. Williams
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Gels
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Online Access:https://www.mdpi.com/2310-2861/8/6/332
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Summary:Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals within a three-dimensional (3D) habitat, direct tumour cell behavior, a subtlety that can be easily lost in 2D tissue culture. Here, we investigate a significantly improved tool, consisting of a novel matrix of functionally programmed peptide sequences, self-assembled into a scaffold to enable the growth and the migration of multicellular lung tumour spheroids, as proof-of-concept. This 3D functional model aims to mimic the biological, chemical, and contextual cues of an in vivo tumor more closely than a typically used, unstructured hydrogel, allowing spatial and temporal activity modelling. This approach shows promise as a cancer model, enhancing current understandings of how tumours progress and spread over time within their microenvironment.
ISSN:2310-2861