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Related Experiment Video

Updated: Feb 22, 2026

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
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Mathematical Model for Tissue-Level Hypoxic Response in Microfluidic Environment.

Adnan Morshed1, Prashanta Dutta2

  • 1School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920 e-mail: .

Journal of Biomechanical Engineering
|September 17, 2017
PubMed
Summary
This summary is machine-generated.

Tumor growth dynamics are shaped by oxygen availability. This study models oxygen and ascorbate transport in microfluidic cell cultures, revealing rapid hypoxia onset and distinct cellular responses in different cell types.

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Area of Science:

  • Oncology
  • Cell Biology
  • Biophysics

Background:

  • Oxygen availability is critical for tumor growth dynamics.
  • Hypoxia, or low oxygen, triggers cellular survival mechanisms.
  • Tumor cells distant from blood vessels face aggravated oxygen scarcity.

Purpose of the Study:

  • Investigate intracellular species dynamics within tumor cell colonies.
  • Analyze the impact of cell-block thickness and cell type on oxygen transport.
  • Model ascorbate transport and its interaction with oxygen levels.

Main Methods:

  • Utilized a microfluidic cell culture device.
  • Modeled oxygen transport via diffusion.
  • Employed a concentration-dependent uptake model for ascorbate (AS).
  • Coupled extracellular and intracellular species transport.

Main Results:

  • Hypoxia onset in HeLa cells occurs within minutes, dependent on cell location.
  • Complete oxygen deprivation and necrotic core development are possible.
  • HeLa and HelaS3 cells exhibit different species concentrations and hypoxic responses.
  • Long-term hypoxic response in microfluidic models approximates tissue basal layer values.

Conclusions:

  • Microfluidic models accurately simulate tumor oxygen dynamics.
  • Cell type significantly influences hypoxic response.
  • The hybrid model aids in designing experiments for cancer research.
  • Predictive power for tissue-level responses in cancer research is enhanced.