Suppr超能文献

一种新型的小鼠子宫内膜癌模型揭示了遗传驱动因素的功能作用并探讨了它们的易感性。

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

机构信息

Precision Medicine Research Center, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.

State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.

出版信息

Adv Sci (Weinh). 2023 Aug;10(24):e2300383. doi: 10.1002/advs.202300383. Epub 2023 Jun 20.

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.

摘要

子宫内膜癌(EC)是最常见的女性生殖道癌症,近年来其发病率不断上升。EC 肿瘤发生的潜在机制仍不清楚,也缺乏有效的靶向治疗方法,这两者都需要可行的子宫内膜癌动物模型,但目前这种模型非常有限。本文报道了一种基于类器官和基因组编辑的方法,可在小鼠中生成原发性、原位和驱动基因定义的 EC。这些模型忠实地再现了人类疾病的分子和病理特征。作者将这些模型和其他癌症的类似模型命名为类器官起始的精准癌症模型(OPCMs)。重要的是,这种方法可以方便地引入任何驱动基因突变或驱动基因突变的组合。利用这些模型,作者证明了 Pik3ca 和 Pik3r1 中的突变与 Pten 缺失协同作用,促进了小鼠的子宫内膜腺癌。相比之下,Kras G12D 突变导致了子宫内膜鳞状细胞癌。然后,从这些小鼠 EC 模型中分离出肿瘤类器官,并进行了高通量药物筛选和验证。结果揭示了不同突变的 EC 具有不同的脆弱性。总之,这项研究开发了一种在小鼠中模拟 EC 的多重方法,并证明了其在理解这种恶性肿瘤的病理学和探索潜在治疗方法方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4469/10460855/354d9ad2f2db/ADVS-10-2300383-g004.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验