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Effects of Shear Stress Gradients on Ewing Sarcoma Cells Using 3D Printed Scaffolds and Flow Perfusion
Jordan E Trachtenberg1, Marco Santoro2, Cortes Williams3
1Department of Bioengineering, Bioscience Research Collaborative - MS 142, Rice University, 6500 Main Street, Houston, Texas 77030, United States.
ACS Biomaterials Science & Engineering
|January 9, 2021
Summary
This study used 3D printed scaffolds and flow perfusion to model tumor microenvironment gradients, revealing how scaffold architecture and mechanical stress impact Ewing sarcoma cell behavior for better drug testing.
Area of Science:
- Biomedical Engineering
- Cancer Biology
- Materials Science
Background:
- Three-dimensional (3D) in vitro tumor models are crucial for drug discovery.
- Modeling tumor microenvironment complexity, like permeability gradients, is challenging in vitro.
- Ewing sarcoma (ES) exhibits shear stress-dependent ligand secretion, making it ideal for studying heterogeneous responses.
Purpose of the Study:
- To combine 3D scaffolds and flow perfusion bioreactors to simulate tumor microenvironment gradients.
- To evaluate the impact of scaffold architecture and mechanical stimulation on tumor cell phenotype.
- To identify potential diffusional limitations in drug delivery within solid tumors.
Main Methods:
- Fabricated poly(propylene fumarate) scaffolds with pore size gradients using extrusion-based 3D printing.
- Cultured ES cells under flow perfusion conditions on the 3D printed scaffolds.
- Utilized computational fluid modeling to confirm shear stress gradients and estimate cell exposure.
Main Results:
- Observed enhanced ES cell proliferation in scaffold layers with lower permeability and increased surface area under flow perfusion.
- Demonstrated that shear stress gradients affect ES cell signaling pathways, including the insulin-like growth factor-1 pathway.
- Showed that cellular responses were dependent on scaffold gradient orientation and the presence of flow-derived shear stress.
Conclusions:
- 3D printed scaffolds combined with flow perfusion effectively model solid tumor heterogeneity in vitro.
- This approach can aid in predicting drug delivery limitations and developing customized cancer therapies.
- The study provides a platform for future drug testing and understanding tumor response to microenvironmental factors.

