Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
Open accessAbstract
Effective predictive biomarkers are needed to enable personalized medicine and increase treatment efficacy and survival for cancer patients, thereby reducing toxic side effects and treatment costs. Patient-derived organoids (PDOs) enable individualized tumour response testing. Since 2018, 17 publications have examined PDOs as a potential predictive biomarker in the treatment of cancer patients. We review and provide a pooled analysis of the results regarding the use of PDOs in individualized tumour response testing, focusing on evidence for analytical validity, clinical validity and clinical utility. We identify future perspectives to accelerate the implementation of PDOs as a predictive biomarker in the treatment of cancer patients.
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Similar initiatives for cancer patients lag behind, mostly because of disparities in establishment rates and lengthy timelines.
“Similar initiatives are lagging behind for cancer patients, though mostly because of disparities in establishment rates and lengthy timelines (extensively reviewed in215).”
From Organoids (2022) · cites this paper as [215]
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References 58 · Cited by 323
- Authors
- Wensink, G. E., Elias, S. G., Mullenders, J., Koopman, M., Boj, S. F., Kranenburg, O. W., & Roodhart, J. M. L.
- Affiliations
- Utrecht University (NL)
- Corresponding author
- Roodhart, Jeanine M. L.
- ORCID
- Venue
- npj Precision Oncology
- Published
- 2021-04-12
- Volume
- 5
- Issue
- 1
- Pages
- 30-30
- ISSN
- 2397-768X (ISSN-L)
- PMC
- PMC8042051
- OpenAlex
- W3152491896
- Cited by
- 323
- References
- 58
- Citations by year
- 2026: 83 · 2025: 64 · 2024: 68 · 2023: 42 · 2022: 51 · 2021: 15
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Precision Oncology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- 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 › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- patient-derived organoids, predictive biomarkers, tumor response, personalized medicine, analytical validity, clinical validity, clinical utility, precision oncology
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