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Monitoring Cancer Cell Invasion and T-Cell Cytotoxicity in 3D Culture
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A Programmable Multifunctional 3D Cancer Cell Invasion Micro Platform.

Qian Liu1,2, Aswin Muralidharan1, Abtin Saateh1

  • 1Department of Chemical Engineering, Delft University of Technology, van der Maasweg 9, Delft, 2629 HZ, The Netherlands.

Small (Weinheim an Der Bergstrasse, Germany)
|March 10, 2022
PubMed
Summary

Researchers developed a programmable 3D cancer cell invasion microplatform (Mb-H) to model tumor microenvironments. This platform enables controlled spheroid formation and migration studies, advancing cancer research and drug screening.

Keywords:
3D cancer cell invasiondirectional cancer cell migrationdynamic TGF-β releasehydrogelsprogrammable multiple functions

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Area of Science:

  • Biomedical Engineering
  • Cancer Biology
  • Materials Science

Background:

  • Creating realistic 3D tumor models for studying cancer invasion and metastasis is challenging.
  • Existing models struggle to replicate spatial architecture, cell communication, and extracellular matrix interactions.

Purpose of the Study:

  • To develop a programmable, multifunctional 3D platform for studying cancer cell invasion.
  • To create a model that accurately mimics the tumor microenvironment and cell migration dynamics.

Main Methods:

  • Integration of function-variable microbuckets and extracellular matrix-like hydrogels into a 3D microplatform (Mb-H).
  • Controlled aggregation of cancer cells to form spheroids.
  • Spatial-temporal controlled release of cytokine transforming growth factor beta (TGF-β).
  • Engineering of functionalized microplatforms to adjust cell-matrix interactions.

Main Results:

  • Demonstrated controlled formation of multi-cancer cell spheroids.
  • Revealed guiding relationships in single-cell and collective cell migration during epithelial-mesenchymal transition (EMT).
  • Successfully coordinated 3D invasive migration of cancer cell spheroids using the programmable platform.

Conclusions:

  • The developed Mb-H platform offers a novel approach to mimic dynamic tumor microenvironments.
  • This platform shows significant potential for cancer research, bio-fabrication, cell signaling studies, and drug screening.