Patient-derived organoids in translational oncology and drug screening
Open accessAbstract
Patient-derived organoids (PDO) are a new biomedical research model that can reconstruct phenotypic and genetic characteristics of the original tissue and are useful for research on pathogenesis and drug screening. To introduce the progression in this field, we review the key factors of constructing organoids derived from epithelial tissues and cancers, covering culture medium and matrix, morphological characteristics, genetic profiles, high-throughput drug screening, and application potential. We also discuss the co-culture system of cancer organoids with tumor microenvironment (TME) associated cells. The co-culture system is widely used in evaluating crosstalk of cancer cells with TME components, such as fibroblasts, endothelial cells, immune cells, and microorganisms. The article provides a prospective for standardized cultivation mode, automatic morphological evaluation, and drug sensitivity screening using high-throughput methods.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cancer organoids maintain the physiological structure and function of their source tissue and are widely used in research on tumor pathogenesis, drug development, treatment resistance, and other fields.
“Cancer organoids, which maintain the physiological structure and function of their source tissue, are widely used in research on tumor pathogenesis, drug development, treatment resistance, and other fields48,49.”
From An HDAC4-specific PROTAC degrader achieves radiation sensitization by enhancing ferroptosis in lung cancer (2026) · cites this paper as [49]
Cites
Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche
Sato, T., Vries, R. G., Snippert, H. J., van de Wetering, M., Barker, N., Stange, D. E., van Es, J. H., Abo, A., Kujala, P., Peters, P. J., et al. (2009) · Nature · doi:10.1038/nature07935 · Cited by 7,204 · see citing works
Sato, T., Stange, D. E., Ferrante, M., Vries, R. G. J., van Es, J. H., van den Brink, S., van Houdt, W. J., Pronk, A., van Gorp, J., Siersema, P. D., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.07.050 · Cited by 3,753 · see citing works
Patient-derived organoids model treatment response of metastatic gastrointestinal cancers
Vlachogiannis, G., Hedayat, S., Vatsiou, A., Jamin, Y., Fernández-Mateos, J., Khan, K., Lampis, A., Eason, K., Huntingford, I., Burke, R., et al. (2018) · Science · doi:10.1126/science.aao2774 · Cited by 2,096 · see citing works
A living biobank of breast cancer organoids captures disease heterogeneity
Sachs, N., de Ligt, J., Kopper, O., Gogola, E., Bounova, G., Weeber, F., Balgobind, A. V., Wind, K., Gracanin, A., Begthel, H., et al. (2018) · Cell · doi:10.1016/j.cell.2017.11.010 · Cited by 1,973 · see citing works
Human primary liver cancer–derived organoid cultures for disease modeling and drug screening
Broutier, L., Mastrogiovanni, G., Verstegen, M. M., Francies, H. E., Gavarró, L. M., Bradshaw, C. R., Allen, G. E., Arnes-Benito, R., Sidorova, O., Gaspersz, M. P., et al. (2017) · Nature Medicine · doi:10.1038/nm.4438 · Cited by 1,471 · see citing works
Li, X., Francies, H. E., Secrier, M., Perner, J., Miremadi, A., Galeano-Dalmau, N., Barendt, W. J., Letchford, L., Leyden, G. M., Goffin, E. K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05190-9 · Cited by 316 · see citing works
Growth of Epithelial Organoids in a Defined Hydrogel
Broguiere, N., Isenmann, L., Hirt, C., Ringel, T., Placzek, S., Cavalli, E., Ringnalda, F., Villiger, L., Züllig, R., Lehmann, R., et al. (2018) · Advanced Materials · doi:10.1002/adma.201801621 · Cited by 282 · see citing works
Development of a miniaturized 3D organoid culture platform for ultra-high-throughput screening
Du, Y., Li, X., Niu, Q., Mo, X., Qui, M., Ma, T., Kuo, C. J., & Fu, H. (2020) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjaa036 · Cited by 125 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Cheng, C., Sun, L., Yang, J., Liu, Z., Zhang, F., Qiu, L., Yu, M., Wang, T., Huang, J., Wang, L., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-73682-0
- Authors
- Yang, R., & Yu, Y.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Yu, Yingyan
- Venue
- Cancer Letters
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 562
- Pages
- 216180
- ISSN
- 0304-3835 (ISSN-L)
- OpenAlex
- W4365458878
- Cited by
- 99
- References
- 8
- Citations by year
- 2026: 21 · 2025: 28 · 2024: 44 · 2023: 6
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cancer Letters (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Keywords
- patient-derived organoids, tumor organoids, organoid morphology, high-throughput drug screening, drug sensitivity, tumor microenvironment, co-culture model, cancer-associated fibroblasts, endothelial cells, immune cells, microbiota
- MeSH terms
- Drug Evaluation, Preclinical, Humans, Neoplasms, Organoids, Prospective Studies, Endothelial Cells, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review