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

使用患者来源的类器官预测局部晚期或转移性肺癌肿瘤反应:一项真实世界研究

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作者:Han-Min Wang, Chan-Yuan Zhang, Kai-Cheng Peng, Ze-Xin Chen, Jun-Wei Su, Yu-Fa Li, Wen-Feng Li, Qing-Yun Gao, Shi-Ling Zhang, Yu-Qing Chen, Qing Zhou, Cong Xu, Chong-Rui Xu, Zhen Wang, Jian Su, Hong-Hong Yan, Xu-Chao Zhang, Hua-Jun Chen, Yi-Long Wu, Jin-Ji Yang

Abstract

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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