Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
Abstract 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, 1...
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Nature Portfolio
2021
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oai:doaj.org-article:a906c370b5b841c9aa3ec56321dcb9ce2021-12-02T18:03:30ZPatient-derived organoids as a predictive biomarker for treatment response in cancer patients10.1038/s41698-021-00168-12397-768Xhttps://doaj.org/article/a906c370b5b841c9aa3ec56321dcb9ce2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41698-021-00168-1https://doaj.org/toc/2397-768XAbstract 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.G. Emerens WensinkSjoerd G. EliasJasper MullendersMiriam KoopmanSylvia F. BojOnno W. KranenburgJeanine M. L. RoodhartNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Precision Oncology, Vol 5, Iss 1, Pp 1-13 (2021) |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 G. Emerens Wensink Sjoerd G. Elias Jasper Mullenders Miriam Koopman Sylvia F. Boj Onno W. Kranenburg Jeanine M. L. Roodhart Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
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Abstract 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. |
format |
article |
author |
G. Emerens Wensink Sjoerd G. Elias Jasper Mullenders Miriam Koopman Sylvia F. Boj Onno W. Kranenburg Jeanine M. L. Roodhart |
author_facet |
G. Emerens Wensink Sjoerd G. Elias Jasper Mullenders Miriam Koopman Sylvia F. Boj Onno W. Kranenburg Jeanine M. L. Roodhart |
author_sort |
G. Emerens Wensink |
title |
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
title_short |
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
title_full |
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
title_fullStr |
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
title_full_unstemmed |
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
title_sort |
patient-derived organoids as a predictive biomarker for treatment response in cancer patients |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a906c370b5b841c9aa3ec56321dcb9ce |
work_keys_str_mv |
AT gemerenswensink patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT sjoerdgelias patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT jaspermullenders patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT miriamkoopman patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT sylviafboj patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT onnowkranenburg patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients AT jeaninemlroodhart patientderivedorganoidsasapredictivebiomarkerfortreatmentresponseincancerpatients |
_version_ |
1718378703707176960 |