作者
Tianping Peng,Xiujian Ma,Wei Hua,Changwen Wang,Youjun Chu,Meng Sun,Valentina Fermi,Stefan Hamelmann,Katharina Lindner,Chunxuan Shao,Julia Zaman,Weili Tian,Yue Zhuo,Yassin Harim,Nadja Stöffler,Linda Hammann,Qungen Xiao,Xiaoliang Jin,Rolf Warta,Catharina Lotsch,Xuran Zhuang,Yuan Feng,Minjie Fu,Xin Zhang,Jinsen Zhang,Hao Xu,Fufang Qiu,Liqian Xie,Ying Zhang,Wei Zhu,Zunguo Du,Lorena Salgueiro,Mark Schneider,Florian Eichhorn,Arthur Lefèvre,Stefan Pusch,Valery Grinevich,Miriam Ratliff,Sonja Loges,Lukas Bunse,Felix Sahm,Yangfei Xiang,Andreas Unterberg,Andreas von Deimling,Michael Platten,Christel Herold‐Mende,Yonghe Wu,Hai‐Kun Liu,Ying Mao
摘要
Tumor organoids are important tools for cancer research, but current models have drawbacks that limit their applications for predicting response to therapy. Here, we developed a fast, efficient, and complex culture system (IPTO, individualized patient tumor organoid) that accurately recapitulates the cellular and molecular pathology of human brain tumors. Patient-derived tumor explants were cultured in induced pluripotent stem cell (iPSC)-derived cerebral organoids, thus enabling culture of a wide range of human tumors in the central nervous system (CNS), including adult, pediatric, and metastatic brain cancers. Histopathological, genomic, epigenomic, and single-cell RNA sequencing (scRNA-seq) analyses demonstrated that the IPTO model recapitulates cellular heterogeneity and molecular features of original tumors. Crucially, we showed that the IPTO model predicts patient-specific drug responses, including resistance mechanisms, in a prospective patient cohort. Collectively, the IPTO model represents a major breakthrough in preclinical modeling of human cancers, which provides a path toward personalized cancer therapy.