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Updated: Feb 12, 2026

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
Published on: June 11, 2014
A 3D Microfluidic Model to Recapitulate Cancer Cell Migration and Invasion
Yi-Chin Toh1,2, Anju Raja3,4, Hanry Yu5,6,7,8,9,10,11
1Department of Biomedical Engineering, 4 Engineering Drive, National University of Singapore, Singapore 117853, Singapore. biety@nus.edu.sg.
We created a microfluidic chip to study cancer cell migration and invasion. This 3D tumor model system allows real-time monitoring of metastasis for drug screening.
Area of Science:
- Biomedical Engineering
- Cancer Biology
- Cellular and Molecular Medicine
Background:
- Cancer metastasis involves cell migration and invasion across the basement membrane.
- Traditional methods like Boyden chambers lack real-time monitoring capabilities.
- A need exists for advanced models to study cancer cell motility and drug responses.
Purpose of the Study:
- To develop and validate a microfluidic chip for simulating cancer cell migration and invasion.
- To create a 3D tumor model for culturing metastatic breast cancer cells (MX1).
- To enable real-time monitoring of cancer cell motility for drug screening.
Main Methods:
- Engineered a microfluidic chip with a 3D microenvironment.
- Utilized metastatic breast cancer cells (MX1) in a 3D tumor model.
- Incorporated a chemo-attractant to stimulate cell motility across a membrane.
- Validated the chip by tracking cancer cell migration and invasion in real time.
Main Results:
- Successfully simulated cancer cell migration and invasion across a basement membrane.
- Demonstrated real-time monitoring of cancer cell motility, outperforming traditional assays.
- Validated the chip's capability to observe metastatic behavior.
Conclusions:
- The developed microfluidic chip effectively models cancer cell migration and invasion.
- This system offers real-time monitoring of cell motility, crucial for metastasis research.
- The chip holds significant potential for anti-cancer drug screening and evaluating drug effects on metastasis.
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