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Related Experiment Video

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Measuring Real-time Drug Response in Organotypic Tumor Tissue Slices
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Assessing multiparametric drug response in tissue engineered tumor microenvironment models.

Alexandra R Harris1, Jessica X Yuan2, Jennifer M Munson3

  • 1Department of Pathology, Charlottesville, VA, USA; University of Virginia School of Medicine, Charlottesville, VA, USA.

Methods (San Diego, Calif.)
|December 21, 2017
PubMed
Summary

New tissue-engineered models accurately mimic the human tumor microenvironment, enabling faster and more cost-effective drug screening for cancer treatment resistance.

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Area of Science:

  • Biomedical Engineering
  • Cancer Biology
  • Drug Discovery

Background:

  • The tumor microenvironment (TME) significantly influences cancer treatment resistance through complex interactions.
  • Current in vivo and in vitro models have limitations in accurately replicating the human TME, hindering therapeutic development.

Purpose of the Study:

  • To develop physiologically-relevant, tissue-engineered models of human brain and breast tumor microenvironments.
  • To assess multiple mechanisms of therapeutic response and drug efficacy within these models.

Main Methods:

  • Utilized tissue engineering to create 3D models of human brain and breast tumors, incorporating key stromal cells.
  • Employed flow cytometry for quantitative, single-cell analysis of cell death, proliferation, drug uptake, and invasion.

Main Results:

  • Demonstrated the models' ability to interrogate parameters of chemotherapeutic efficacy in a physiologically relevant context.
  • Showcased the utility of flow cytometry for rapid, multi-parametric assessment of anti-tumor therapy failure.
  • Highlighted the modularity of the system for studying individual cellular contributions within the TME.

Conclusions:

  • Tissue-engineered models offer a powerful platform for studying the TME and its role in treatment resistance.
  • These models provide a fast, cost-effective, and reproducible method for drug screening and understanding therapeutic failure.