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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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Detalles Bibliográficos
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
Descripción
Sumario: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.