©The Author(s) 2026.
World J Transl Med. Feb 12, 2026; 12(1): 113050
Published online Feb 12, 2026. doi: 10.5528/wjtm.v12.i1.113050
Published online Feb 12, 2026. doi: 10.5528/wjtm.v12.i1.113050
Table 1 Tumor organoid applications in drug screening
| Cancer type | Drug tested | Organoid response | Clinical relevance |
| Colorectal | 5-fluorouracil | Organoids responded well, mimicking patient responses | High |
| Ovarian | Platinum-based chemo | Identified platinum-resistant populations | High |
| Lung | EGFR inhibitors | EGFR-mutant organoids sensitive to inhibitors | Moderate |
Table 2 Comparative analysis of tumor organoids, patient-derived samples, and 2D cell lines
| Aspect | Tumor organoids | Patient-derived samples | 2D cell lines |
| Biological relevance | Highly relevant; mimics tumor architecture, heterogeneity, and microenvironment | Most relevant; directly from the patient, includes tumor's genetic and epigenetic features | Less relevant; lacks 3D structure, tumor heterogeneity, and microenvironment |
| Scalability | Scalable to some extent but limited by culture complexity and maintenance | Limited scalability; fresh samples are often hard to obtain and maintain | Highly scalable; easy to culture and propagate for large-scale studies |
| Cost | Expensive due to specialized culture requirements, patient-specific nature, and maintenance | Expensive; obtaining and maintaining fresh tumor samples can be costly | Least expensive; widely available, easy to maintain with basic culture conditions |
| Reproducibility | Can have variability due to culture conditions, patient heterogeneity, and protocol differences | Reproducibility can vary, especially with ex vivo cultures or expansion | Highly reproducible; easy to maintain and culture with consistent results |
| Genetic and epigenetic stability | Risk of epigenetic drift, clonal evolution, and gene expression changes during long-term culture | Directly reflects the genetic makeup of the patient's tumor, but cannot be cultured long-term | May not represent the genetic variability or epigenetic features of patient tumors |
| Use case | Ideal for personalized medicine, drug screening, and modeling complex tumor microenvironments | Best for authentic tumor representation but limited by availability and culture challenges | Suitable for high-throughput screening, basic research, and testing in simpler contexts |
Table 3 limitations and challenges associated with tumor organoid models
| Limitation | Impact on organoid research | Potential solutions |
| Genetic and epigenetic instability | Affects long-term fidelity of organoid models | Develop protocols for standardization and stability |
| Lack of tumor microenvironment elements | Limits accurate modeling of immune responses and drug delivery | Incorporate immune cells and vascularization |
| Use of animal-derived matrices | Ethical concerns and variability in results | Develop animal-free matrices and standardized protocols |
- Citation: Agrawal H, Tanwar H, Gupta N. Tumor organoids in translational cancer research: Models for personalized therapy. World J Transl Med 2026; 12(1): 113050
- URL: https://www.wjgnet.com/2220-6132/full/v12/i1/113050.htm
- DOI: https://dx.doi.org/10.5528/wjtm.v12.i1.113050
