The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Cancer modeling meets human organoid technology
Open accessAbstract
Organoids are microscopic self-organizing, three-dimensional structures that are grown from stem cells in vitro. They recapitulate many structural and functional aspects of their in vivo counterpart organs. This versatile technology has led to the development of many novel human cancer models. It is now possible to create indefinitely expanding organoids starting from tumor tissue of individuals suffering from a range of carcinomas. Alternatively, CRISPR-based gene modification allows the engineering of organoid models of cancer through the introduction of any combination of cancer gene alterations to normal organoids. When combined with immune cells and fibroblasts, tumor organoids become models for the cancer microenvironment enabling immune-oncology applications. Emerging evidence indicates that organoids can be used to accurately predict drug responses in a personalized treatment setting. Here, we review the current state and future prospects of the rapidly evolving tumor organoid field.
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“dynamic drug treatment was more effective than constant‐dose administration methods.”
From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [105]
In the citing paper
“Using this system, the authors observed that significant differences in the response of individual PDOs to specific drug treatments and dynamic drug treatments could be more effective than constant‐dose therapy in vitro, indicating that this platform holds great potential to make clinical decisions for personalized therapy.”
From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [105]
In the citing paper
“Using this system, the authors observed that significant differences in the response of individual PDOs to specific drug treatments and dynamic drug treatments could be more effective than constant‐dose therapy in vitro, indicating that this platform holds great potential to make clinical decisions for personalized therapy.”
From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [105]
In the citing paper
“APCmin/+ mice can develop intestinal tumors around 10 weeks-old26”
From A PROTAC peptide induces durable β-catenin degradation and suppresses Wnt-dependent intestinal cancer (2020) · cites this paper as [26]
In the citing paper
“Wnt/β-catenin signaling is essential to maintain intestinal organoid growth26,27”
From A PROTAC peptide induces durable β-catenin degradation and suppresses Wnt-dependent intestinal cancer (2020) · cites this paper as [26]
In the citing paper
“The patient-derived tumor organoids, which recapitulate the complexity and heterogeneity of tumors, have been shown to be an ideal model for drug screening and precision medicine26.”
From A PROTAC peptide induces durable β-catenin degradation and suppresses Wnt-dependent intestinal cancer (2020) · cites this paper as [26]
In the citing paper
“These tumoroid biobanks can then be used as in vitro models of tumorigenesis and offer a significant advantage over conventional 2D cell culture technology5,6.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [6]
Citations
Cites
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Self-citationCerebral organoids model human brain development and microcephaly
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Self-citationDistinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer
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Self-citationProspective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients
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Self-citationOrganoid models of human and mouse ductal pancreatic cancer
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Self-citationPatient-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
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
Self-citationBasal cells as stem cells of the mouse trachea and human airway epithelium
Rock, J. R., Onaitis, M. W., Rawlins, E. L., Lu, Y., Clark, C. P., Xue, Y., Randell, S. H., & Hogan, B. L. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906850106 · Cited by 1,591
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Mutational signature in colorectal cancer caused by genotoxic pks+ E. coli
Pleguezuelos-Manzano, C., Puschhof, J., Rosendahl Huber, A., van Hoeck, A., Wood, H. M., Nomburg, J., Gurjao, C., Manders, F., Dalmasso, G., Stege, P. B., et al. (2020) · Nature · doi:10.1038/s41586-020-2080-8 · Cited by 1,208
Self-citationGanesh, K., & Massagué, J. (2021) · Nature Medicine · doi:10.1038/s41591-020-01195-4 · Cited by 1,123
Zhao, Z., Chen, X., Dowbaj, A. M., Sljukic, A., Bratlie, K., Lin, L., Fong, E. L. S., Balachander, G. M., Chen, Z., Soragni, A., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00174-y · Cited by 1,082
Harnessing cytokines and chemokines for cancer therapy
PROPPER, D. J., & Balkwill, F. R. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00588-9 · Cited by 1,027
Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer
Yao, Y., Xu, X., Yang, L., Zhu, J., Wan, J., Shen, L., Xia, F., Fu, G., Deng, Y., Pan, M., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2019.10.010 · Cited by 755
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Metadata
- Authors
- Tuveson, D., & Clevers, H.
- Affiliations
- Cold Spring Harbor Laboratory (US)
- Royal Netherlands Academy of Arts and Sciences (NL)
- Corresponding author
- Tuveson, David
- Clevers, Hans
- Venue
- Science
- Published
- 2019-06-07
- Volume
- 364
- Issue
- 6444
- Pages
- 952-955
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2948402706
- Cited by
- 935
- References
- 53
- Citations by year
- 2026: 111 · 2025: 122 · 2024: 134 · 2023: 156 · 2022: 125 · 2021: 154 · 2020: 116 · 2019: 15
- FWCI
- 42.84
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.library.uu.nl
- Licence
- other-oa
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- National Cancer Institute (NIH 5P30CA45508-29, 5P50CA101955-07, P20CA192996-03, U01CA210240-01A1, 1R01CA188134-01)
- Lustgarten Foundation (Dedicated Laboratory)
- European Research Council (EU-ERC-670133 Organoid)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Keywords
- tumor organoids, tumor models, organoid engineering, CRISPR gene editing, tumor microenvironment, cancer immunotherapy, drug response prediction, precision oncology, stem cell-derived organoids, fibroblasts, immune cells
- MeSH terms
- Gene Editing, Humans, Models, Biological, Neoplasms, Organoids, Stem Cells, Biological Specimen Banks, Coculture Techniques, Precision Medicine, Tumor Microenvironment, Carcinogenesis
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