Table 1.
Advances in modeling colorectal cancer.
Model | Application | Advantages | Disadvantages |
---|---|---|---|
2D In vitro | • Adhesion • Gene expression • Drug screening |
• Simple • Low cost • High throughput |
• Low predictive power • Lack of native architecture • Loss of tumor heterogeneity |
Culture plate | |||
Wound healing | • Migration | ||
3D In vitro | • Proliferation • Migration • Gene expression • Drug screening |
• Retain native tumor geometry • Cell-cell/ECM interaction • Tumor heterogeneity |
• Avascular • High cost • Low scalability • Low reproducibility |
Organoid/ Spheroid | |||
Co-culture | • Stromal crosstalk • Immune crosstalk |
||
In vivo
Patient-derived xenografts |
• Proliferation • Migration • Invasion • Angiogenesis • Gene expression • Drug screening |
• Tumor heterogeneity | • High cost • Laborious • Low predictive power • Immunocompromised • Limited metastasis |
Humanized mice | • Tumor microenvironment • Tumor heterogeneity • Immunocompetent |
• High cost • Laborious • Incomplete immune function • Engraftment difficulties |
|
Genetically engineered mice | • Tumor microenvironment • Tumor heterogeneity • Immunocompetent • Natural disease progression |
• High cost • Laborious • Time consuming |
|
Organ-on-a-chip | • Proliferation Migration • Intravasation Extravasation • Invasion • Angiogenesis • Stromal crosstalk • Immune crosstalk • Gene expression • Drug screening |
• Tumor microenvironment • Tumor heterogeneity • Vascular • Hydrodynamic properties • Biochemical gradient • Precise control • Easy visualization |
• Lack of standardization • High cost • Laborious • Low reproducibility |