Related Experiment Video
Updated: Feb 16, 2026

Measuring Real-time Drug Response in Organotypic Tumor Tissue Slices
Published on: May 2, 2020
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.
Abstract:
The tumor microenvironment is important in promoting treatment resistance of tumor cells via multiple mechanisms. However, studying this interaction often proves difficult. In vivo animal models are costly, time-consuming, and often fail to adequately predict human response to treatment. Conversely, testing drug response on human tumor cells in vitro in 2D cell culture excludes the important contribution of stromal cells and biophysical forces seen in the in vivo tumor microenvironment. Here, we present tissue-engineered models of both human brain and breast tumor microenvironments incorporating key stromal cell populations for assessing multiple mechanisms of therapeutic response using flow cytometry. We show our physiologically-relevant systems used to interrogate a variety of parameters associated with chemotherapeutic efficacy, including cell death, proliferation, drug uptake, and invasion of cancer and stromal cell populations. The use of flow cytometry allows for single cell, quantitative, and fast assessments of multiple outcomes affecting anti-tumor therapy failure. Our system can be modified to add and remove cellular components with ease, thereby enabling the study of individual cellular contributions in the tumor microenvironment. Together, our models and analysis methods illustrate the importance of developing fast, cost-effective, and reproducible methods to model complex human systems in a physiologically-relevant manner that may prove useful for drug screening efforts in the future.
Insights
New tissue-engineered models accurately mimic the human tumor microenvironment, enabling faster and more cost-effective drug screening for cancer treatment resistance.
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.
More Related Videos
13:34A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
12:41Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
Published on: December 23, 2022