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Biofabrication of Modular Spheroids as Tumor-Scale Microenvironments for Drug Screening.
Naveen Vijayan Mekhileri1, Gretel Major1, Khoon Lim1
1Department of Orthopaedic Surgery and Musculoskeletal Medicine, Centre for Bioengineering & Nanomedicine, University of Otago, Christchurch, Canterbury, 8011, New Zealand.
Advanced Healthcare Materials
|December 10, 2022
Summary
This study developed a novel bioassembly system using 3D printed scaffolds and tumor modules to create realistic tumor models. These advanced models show increased drug resistance, paving the way for modernized drug discovery.
Area of Science:
- Biomaterials Engineering
- Cancer Biology
- Drug Discovery
Background:
- Preclinical tumor models are crucial for drug discovery but often fail to replicate native tumor complexity, impacting clinical trial success.
- Existing microscale tumor models are limited by cell-line dependency, time requirements, and lack of improved clinical outcomes.
Purpose of the Study:
- To compare hydrogel microspheres and cell-dense spheroids for generating 3D tumor microenvironments.
- To bioassemble these modules into 3D printed scaffolds for automated, tumor-scale model fabrication.
- To characterize fabrication efficiency, cell architecture, and drug response in these novel constructs.
Main Methods:
- Fabrication of cell-encapsulated Gel-MA microspheres and traditional spheroids using SKOV3 and HFF cells (monocultures and cocultures).
- Automated bioassembly of modules into 3D printed thermoplastic scaffolds to create tumor-scale models.
- Characterization of fabrication efficiency, cell architecture, and chemosensitivity assays (doxorubicin).
Main Results:
- Gel-MA microspheres showed high reproducibility and suitable dimensions for bioassembly across cell types.
- Only cocultured spheroids formed compact modules appropriate for bioassembly.
- Cocultured cells in 3D bioassembled constructs exhibited a five-fold increase in doxorubicin resistance compared to 2D monolayers.
Conclusions:
- The developed bioassembly system efficiently creates tailorable, tumor-scale models from various modules.
- These 3D tumor models demonstrate enhanced drug resistance, offering a more predictive preclinical platform.
- This approach has the potential to modernize drug discovery pipelines and improve tumorigenesis studies.

