Table 5.
Comparison of 3D in vitro model platforms of breast cancer microenvironments.
| Model | Defining feature | Advantages | Disadvantages | Areas of interest | References |
|---|---|---|---|---|---|
| Natural matrices | Matrix composed of naturally derived ECM proteins (collagen, laminin, HA, Matrigel™, fibrin) or polysaccharides (alginate, chitosan) | High biocompatibility, high adhesion properties, remodeled and modulated by cells, variable stiffness, including secreted ECMs | Batch-to-batch variability, complex molecular composition, uncontrolled degradation, spatially random without proper care | Fiber alignment, stiffness, multi-culture, hypoxia, formation of spheroids, invasion, migration, angiogenesis | Gu and Mooney, 2016; Pradhan et al., 2016; Regier et al., 2016; Roudsari and West, 2016 |
| Synthetic matrices | Matrix composed of synthetic polymers (PEG, PLGA, PCL, polyurethane to name a few) | Highly tunable biophysical and biochemical properties | Poor cell adhesion, often difficult for cells to degrade, cytotoxicity | Fiber alignment, stiffness, co-culture, formation of spheroids, EMT, CSC generation, migration, angiogenesis | Gu and Mooney, 2016; Morgan et al., 2016; Pradhan et al., 2016; Roudsari and West, 2016; Samavedi and Joy, 2017 |
| Composite matrices | Matrix composed of both synthetic and natural materials | Maintains high tunability of biophysical and biochemical properties with adjusted biocompatibility | Cytotoxicity, batch-to-batch variability, complex molecular composition, custom systems which promotes inaccessibility | Porosity, stiffness, co-culture, hypoxia, formation of spheroids, invasion, migration | Gu and Mooney, 2016; Pradhan et al., 2016; Samavedi and Joy, 2017; Yue et al., 2018 |
| Spheroids | Self-arrange/assembly and proliferation into spherical shapes | Recapitulating early development of in vivo conditions, producible in other models | Reliance on spontaneous cell interaction | Multi-culture, vasculature, migration | Gu and Mooney, 2016; Morgan et al., 2016; Regier et al., 2016; Roudsari and West, 2016 |
| 3D microfluidics | Precise control over fluids, structure, and cells on the submillimeter scale | Very high spatial and temporal control, reduced sample volume, fluidic patterning of cells and matrix allowing close cell-cell contacts and complex geometries | Difficulty in maintaining continuous fluid flow, exaggeration of certain fluidic properties, advanced systems are inaccessible to most | Porosity, stiffness, multi-culture, formation of spheroids, invasion, chemotaxis, tissue patterning, vasculature, metastasis (extravasation, intravasation), “on-a-chip” technologies | Zervantonakis et al., 2012; Sackmann et al., 2014; Sung and Beebe, 2014; Gu and Mooney, 2016; Morgan et al., 2016; Regier et al., 2016 |
| Perfusable tumor model | Introduction of continuous fluid flow akin to vasculature (incorporating multiple forms of bioreactors) | Ameliorating issue with transport problems in traditional culture by removing wastes and supplying oxygen and nutrients to cells | Lack of complete controls to transport problems | Co-culture, recellularization of scaffolds, vasculature | Mishra et al., 2015; Guller et al., 2016; Pence et al., 2017; Kulkarni et al., 2018 |