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Advances of Patient-Derived Organoids in Personalized Radiotherapy

Patient-derived organoids (PDO), based on the advanced three-dimensional (3D) culture technology, can provide more relevant physiological and pathological cancer models, which is especially beneficial for developing and optimizing cancer therapeutic strategies. Radiotherapy (RT) is a cornerstone of...

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Autores principales: Wang, Yuenan, Li, Ye, Sheng, Zonghai, Deng, Weiwei, Yuan, Hongyan, Wang, Shubin, Liu, Yajie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102799/
https://www.ncbi.nlm.nih.gov/pubmed/35574360
http://dx.doi.org/10.3389/fonc.2022.888416
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author Wang, Yuenan
Li, Ye
Sheng, Zonghai
Deng, Weiwei
Yuan, Hongyan
Wang, Shubin
Liu, Yajie
author_facet Wang, Yuenan
Li, Ye
Sheng, Zonghai
Deng, Weiwei
Yuan, Hongyan
Wang, Shubin
Liu, Yajie
author_sort Wang, Yuenan
collection PubMed
description Patient-derived organoids (PDO), based on the advanced three-dimensional (3D) culture technology, can provide more relevant physiological and pathological cancer models, which is especially beneficial for developing and optimizing cancer therapeutic strategies. Radiotherapy (RT) is a cornerstone of curative and palliative cancer treatment, which can be performed alone or integrated with surgery, chemotherapy, immunotherapy, or targeted therapy in clinical care. Among all cancer therapies, RT has great local control, safety and effectiveness, and is also cost-effective per life-year gained for patients. It has been reported that combing RT with chemotherapy or immunotherapy or radiosensitizer drugs may enhance treatment efficacy at faster rates and lower cost. However, very few FDA-approved combinations of RT with drugs or radiosensitizers exist due to the lack of accurate and relevant preclinical models. Meanwhile, radiation dose escalation may increase treatment efficacy and induce more toxicity of normal tissue as well, which has been studied by conducting various clinical trials, very expensive and time-consuming, often burdensome on patients and sometimes with controversial results. The surged PDO technology may help with the preclinical test of RT combination and radiation dose escalation to promote precision radiation oncology, where PDO can recapitulate individual patient’ tumor heterogeneity, retain characteristics of the original tumor, and predict treatment response. This review aims to introduce recent advances in the PDO technology and personalized radiotherapy, highlight the strengths and weaknesses of the PDO cancer models, and finally examine the existing RT-related PDO trials or applications to harness personalized and precision radiotherapy.
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spelling pubmed-91027992022-05-14 Advances of Patient-Derived Organoids in Personalized Radiotherapy Wang, Yuenan Li, Ye Sheng, Zonghai Deng, Weiwei Yuan, Hongyan Wang, Shubin Liu, Yajie Front Oncol Oncology Patient-derived organoids (PDO), based on the advanced three-dimensional (3D) culture technology, can provide more relevant physiological and pathological cancer models, which is especially beneficial for developing and optimizing cancer therapeutic strategies. Radiotherapy (RT) is a cornerstone of curative and palliative cancer treatment, which can be performed alone or integrated with surgery, chemotherapy, immunotherapy, or targeted therapy in clinical care. Among all cancer therapies, RT has great local control, safety and effectiveness, and is also cost-effective per life-year gained for patients. It has been reported that combing RT with chemotherapy or immunotherapy or radiosensitizer drugs may enhance treatment efficacy at faster rates and lower cost. However, very few FDA-approved combinations of RT with drugs or radiosensitizers exist due to the lack of accurate and relevant preclinical models. Meanwhile, radiation dose escalation may increase treatment efficacy and induce more toxicity of normal tissue as well, which has been studied by conducting various clinical trials, very expensive and time-consuming, often burdensome on patients and sometimes with controversial results. The surged PDO technology may help with the preclinical test of RT combination and radiation dose escalation to promote precision radiation oncology, where PDO can recapitulate individual patient’ tumor heterogeneity, retain characteristics of the original tumor, and predict treatment response. This review aims to introduce recent advances in the PDO technology and personalized radiotherapy, highlight the strengths and weaknesses of the PDO cancer models, and finally examine the existing RT-related PDO trials or applications to harness personalized and precision radiotherapy. Frontiers Media S.A. 2022-04-29 /pmc/articles/PMC9102799/ /pubmed/35574360 http://dx.doi.org/10.3389/fonc.2022.888416 Text en Copyright © 2022 Wang, Li, Sheng, Deng, Yuan, Wang and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Wang, Yuenan
Li, Ye
Sheng, Zonghai
Deng, Weiwei
Yuan, Hongyan
Wang, Shubin
Liu, Yajie
Advances of Patient-Derived Organoids in Personalized Radiotherapy
title Advances of Patient-Derived Organoids in Personalized Radiotherapy
title_full Advances of Patient-Derived Organoids in Personalized Radiotherapy
title_fullStr Advances of Patient-Derived Organoids in Personalized Radiotherapy
title_full_unstemmed Advances of Patient-Derived Organoids in Personalized Radiotherapy
title_short Advances of Patient-Derived Organoids in Personalized Radiotherapy
title_sort advances of patient-derived organoids in personalized radiotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102799/
https://www.ncbi.nlm.nih.gov/pubmed/35574360
http://dx.doi.org/10.3389/fonc.2022.888416
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