Open AccessPatient‐Derived Upper Tract Urothelial Carcinoma Organoids as a Platform for Drug Screening
Author(s) -
Li Zhichao,
Xu Haibo,
Gong Yanqing,
Chen Wei,
Zhan Yonghao,
Yu Lei,
Sun Yangyang,
Li Aolin,
He Shiming,
Guan Bao,
Wu Yucai,
Xiong Gengyan,
Fang Dong,
He Yuhui,
Tang Qi,
Yao Lin,
Hu Zheng,
Mei Hongbing,
He Zhisong,
Cai Zhiming,
Guo Yinglu,
Li Xuesong,
Zhou Liqun,
Huang Weiren
Publication year - 2022
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202103999
Subject(s) - organoid , urothelial carcinoma , personalized medicine , medicine , computational biology , precision medicine , drug , bioinformatics , cancer research , biology , pathology , cancer , pharmacology , neuroscience , bladder cancer
Upper tract urothelial carcinomas (UTUCs) are rare entities that are usually diagnosed at advanced stages. Research on UTUC pathobiology and clinical management has been hampered by the lack of models accurately reflecting disease nature and diversity. In this study, a modified organoid culture system is used to generate a library of 25 patient‐derived UTUC organoid lines retaining the histological architectures, marker gene expressions, genomic landscapes, and gene expression profiles of their parental tumors. The study demonstrates that the responses of UTUC organoids to anticancer drugs can be identified and the model supports the exploration of novel treatment strategies. This work proposes a modified protocol for generating patient‐derived UTUC organoid lines that may help elucidate UTUC pathophysiology and assess the responses of these diseases to various drug therapies in personalized medicine.