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A New Type of Endometrial Cancer Models in Mice Revealing the Functional Roles of Genetic Drivers and Exploring their Susceptibilities

Authors :
Jingyao Chen
Siqi Dai
Lei Zhao
Yiman Peng
Chongen Sun
Hongling Peng
Qian Zhong
Yuan Quan
Yue Li
Xuelan Chen
Xiangyu Pan
Ailing Zhong
Manli Wang
Mengsha Zhang
Shengyong Yang
You Lu
Zhong Lian
Yu Liu
Shengtao Zhou
Zhengyu Li
Feifei Na
Chong Chen
Source :
Advanced Science, Vol 10, Iss 24, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

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.

Details

Language :
English
ISSN :
21983844
Volume :
10
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
edsdoj.482799f3ec543e9818123391d0de451
Document Type :
article
Full Text :
https://doi.org/10.1002/advs.202300383