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 in pancreatic tumor organoids.
“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]
Dynamic drug treatments could be more effective than constant-dose therapy in vitro.
“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]
Individual PDOs show significant differences in response to specific drug treatments.
“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]
APCmin/+ mice develop intestinal tumors around 10 weeks old.
“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]
Wnt/β-catenin signaling is essential to maintain intestinal organoid growth.
“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]
Patient-derived tumor organoids recapitulate tumor complexity and heterogeneity and are an ideal model for drug screening and precision medicine.
“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]
Tumoroid biobanks can be used as in vitro models of tumorigenesis and offer a significant advantage over conventional 2D cell culture technology.
“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]
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- 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
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 ›
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