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Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study

Predicting the clinical response to chemotherapeutic or targeted treatment in patients with locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor organoids are a potential approach in precision medicine for predicting the clinical response to treatment. However,...

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Autores principales: Wang, Han-Min, Zhang, Chan-Yuan, Peng, Kai-Cheng, Chen, Ze-Xin, Su, Jun-Wei, Li, Yu-Fa, Li, Wen-Feng, Gao, Qing-Yun, Zhang, Shi-Ling, Chen, Yu-Qing, Zhou, Qing, Xu, Cong, Xu, Chong-Rui, Wang, Zhen, Su, Jian, Yan, Hong-Hong, Zhang, Xu-Chao, Chen, Hua-Jun, Wu, Yi-Long, Yang, Jin-Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975107/
https://www.ncbi.nlm.nih.gov/pubmed/36657446
http://dx.doi.org/10.1016/j.xcrm.2022.100911
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author Wang, Han-Min
Zhang, Chan-Yuan
Peng, Kai-Cheng
Chen, Ze-Xin
Su, Jun-Wei
Li, Yu-Fa
Li, Wen-Feng
Gao, Qing-Yun
Zhang, Shi-Ling
Chen, Yu-Qing
Zhou, Qing
Xu, Cong
Xu, Chong-Rui
Wang, Zhen
Su, Jian
Yan, Hong-Hong
Zhang, Xu-Chao
Chen, Hua-Jun
Wu, Yi-Long
Yang, Jin-Ji
author_facet Wang, Han-Min
Zhang, Chan-Yuan
Peng, Kai-Cheng
Chen, Ze-Xin
Su, Jun-Wei
Li, Yu-Fa
Li, Wen-Feng
Gao, Qing-Yun
Zhang, Shi-Ling
Chen, Yu-Qing
Zhou, Qing
Xu, Cong
Xu, Chong-Rui
Wang, Zhen
Su, Jian
Yan, Hong-Hong
Zhang, Xu-Chao
Chen, Hua-Jun
Wu, Yi-Long
Yang, Jin-Ji
author_sort Wang, Han-Min
collection PubMed
description Predicting the clinical response to chemotherapeutic or targeted treatment in patients with locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor organoids are a potential approach in precision medicine for predicting the clinical response to treatment. However, their clinical application in lung cancer has rarely been reported because of the difficulty in generating pure tumor organoids. In this study, we have generated 214 cancer organoids from 107 patients, of which 212 are lung cancer organoids (LCOs), primarily derived from malignant serous effusions. LCO-based drug sensitivity tests (LCO-DSTs) for chemotherapy and targeted therapy have been performed in a real-world study to predict the clinical response to the respective treatment. LCO-DSTs accurately predict the clinical response to treatment in this cohort of patients with advanced lung cancer. In conclusion, LCO-DST is a promising precision medicine tool in treating of advanced lung cancer.
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spelling pubmed-99751072023-03-02 Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study Wang, Han-Min Zhang, Chan-Yuan Peng, Kai-Cheng Chen, Ze-Xin Su, Jun-Wei Li, Yu-Fa Li, Wen-Feng Gao, Qing-Yun Zhang, Shi-Ling Chen, Yu-Qing Zhou, Qing Xu, Cong Xu, Chong-Rui Wang, Zhen Su, Jian Yan, Hong-Hong Zhang, Xu-Chao Chen, Hua-Jun Wu, Yi-Long Yang, Jin-Ji Cell Rep Med Article Predicting the clinical response to chemotherapeutic or targeted treatment in patients with locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor organoids are a potential approach in precision medicine for predicting the clinical response to treatment. However, their clinical application in lung cancer has rarely been reported because of the difficulty in generating pure tumor organoids. In this study, we have generated 214 cancer organoids from 107 patients, of which 212 are lung cancer organoids (LCOs), primarily derived from malignant serous effusions. LCO-based drug sensitivity tests (LCO-DSTs) for chemotherapy and targeted therapy have been performed in a real-world study to predict the clinical response to the respective treatment. LCO-DSTs accurately predict the clinical response to treatment in this cohort of patients with advanced lung cancer. In conclusion, LCO-DST is a promising precision medicine tool in treating of advanced lung cancer. Elsevier 2023-01-18 /pmc/articles/PMC9975107/ /pubmed/36657446 http://dx.doi.org/10.1016/j.xcrm.2022.100911 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wang, Han-Min
Zhang, Chan-Yuan
Peng, Kai-Cheng
Chen, Ze-Xin
Su, Jun-Wei
Li, Yu-Fa
Li, Wen-Feng
Gao, Qing-Yun
Zhang, Shi-Ling
Chen, Yu-Qing
Zhou, Qing
Xu, Cong
Xu, Chong-Rui
Wang, Zhen
Su, Jian
Yan, Hong-Hong
Zhang, Xu-Chao
Chen, Hua-Jun
Wu, Yi-Long
Yang, Jin-Ji
Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title_full Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title_fullStr Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title_full_unstemmed Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title_short Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
title_sort using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: a real-world study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975107/
https://www.ncbi.nlm.nih.gov/pubmed/36657446
http://dx.doi.org/10.1016/j.xcrm.2022.100911
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