子宫内膜癌
克拉斯
PTEN公司
类有机物
癌症
癌变
癌症研究
入侵足纲
恶性肿瘤
生物
计算生物学
医学
生物信息学
癌细胞
遗传学
结直肠癌
PI3K/AKT/mTOR通路
信号转导
作者
Jingyao Chen,Siqi Dai,Lei Zhao,Yiman Peng,Chongen Sun,Hongling Peng,Qian Zhong,Quan Yuan,Yue Li,Xuelan Chen,Xiangyu Pan,Ailing Zhong,Manli Wang,Mengsha Zhang,Shengyong Yang,You Lü,Zhong Lian,Yu Liu,Shengtao Zhou,Zhengyu Li
标识
DOI:10.1002/advs.202300383
摘要
Abstract Endometrial cancer (EC) is the most common female reproductive tract cancer and its incidence has been continuously increasing in recent years. The underlying mechanisms of EC tumorigenesis remain unclear, and efficient target therapies are lacking, for both of which feasible endometrial cancer animal models are essential but currently limited. Here, an organoid and genome editing‐based strategy to generate primary, orthotopic, and driver‐defined ECs in mice is reported. These models faithfully recapitulate the molecular and pathohistological characteristics of human diseases. The authors names these models and similar models for other cancers as organoid‐initiated precision cancer models (OPCMs). Importantly, this approach can conveniently introduce any driver mutation or a combination of driver mutations. Using these models,it is shown that the mutations in Pik3ca and Pik3r1 cooperate with Pten loss to promote endometrial adenocarcinoma in mice. In contrast, the Kras G12D mutati led to endometrial squamous cell carcinoma. Then, tumor organoids are derived from these mouse EC models and performed high‐throughput drug screening and validation. The results reveal distinct vulnerabilities of ECs with different mutations. Taken together, this study develops a multiplexing approach to model EC in mice and demonstrates its value for understanding the pathology of and exploring the potential treatments for this malignancy.
科研通智能强力驱动
Strongly Powered by AbleSci AI