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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
Flow-based pipeline for systematic modulation and analysis of 3D tumor microenvironments
Cheri Y Li1, David K Wood, Joanne H Huang
1Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Lab on a Chip
|April 9, 2013
Summary
Developing a 3D microfluidic platform reveals how the cancer microenvironment influences tumor cell response to drugs. This technology enables high-throughput analysis of tumor biology and therapeutic development in realistic cellular niches.
Area of Science:
- Biomedical Engineering
- Cancer Biology
- Microfluidics
Background:
- The tumor microenvironment significantly impacts cancer progression and treatment response.
- Understanding 3D microenvironmental cues is crucial for developing effective cancer therapies.
- Existing tools lack the capability to systematically probe these cues in a 3D context.
Purpose of the Study:
- To develop a high-throughput microfluidic platform for creating tunable cellular microniches (microtissues).
- To investigate tumor cell responses to various microenvironmental factors within a 3D context.
- To enable rapid, population-level analysis and sorting of microtissues for drug screening and basic research.
Main Methods:
- Fabrication of tunable cellular microniches using microfluidic technology.
- High-throughput, flow-based population analysis of microtissues (n > 500).
- Assessment of tumor cell proliferation and density in response to extracellular matrix (ECM) components and soluble factors.
Main Results:
- Lung adenocarcinoma cells showed differential proliferation based on ECM composition (fibronectin vs. collagen-1).
- Transforming growth factor-beta (TGF-β) reduced proliferation in 3D microtissues, an effect not seen in 2D monolayer cultures.
- Tumor cells exhibited specific sensitivity to TGF-β receptor 2 (TGFβR2) inhibitors in 3D, indicating TGF-β's anti-proliferative role is context-dependent.
Conclusions:
- The 3D cancer microenvironment critically influences tumor cell behavior and drug response.
- The developed microfluidic platform facilitates high-throughput studies of tumor biology and drug efficacy in defined 3D niches.
- Targeting pathways like TGF-β may offer unique therapeutic opportunities when considering the 3D tumor context.

