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在小鼠中模拟卵巢上皮癌:经典与新兴方法。

Modelling Epithelial Ovarian Cancer in Mice: Classical and Emerging Approaches.

机构信息

Bill Walsh Translational Cancer Research Laboratory, Kolling Institute, Northern Sydney Local Health District, St Leonards, Sydney, NSW 2065, Australia.

Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.

出版信息

Int J Mol Sci. 2020 Jul 7;21(13):4806. doi: 10.3390/ijms21134806.

Abstract

High-grade serous epithelial ovarian cancer (HGSC) is the most aggressive subtype of epithelial ovarian cancer. The identification of germline and somatic mutations along with genomic information unveiled by The Cancer Genome Atlas (TCGA) and other studies has laid the foundation for establishing preclinical models with high fidelity to the molecular features of HGSC. Notwithstanding such progress, the field of HGSC research still lacks a model that is both robust and widely accessible. In this review, we discuss the recent advancements and utility of HGSC genetically engineered mouse models (GEMMs) to date. Further analysis and critique on alternative approaches to modelling HGSC considers technological advancements in somatic gene editing and modelling prototypic organs, capable of tumorigenesis, on a chip.

摘要

高级别浆液性卵巢癌 (HGSC) 是上皮性卵巢癌中最具侵袭性的亚型。通过癌症基因组图谱 (TCGA) 和其他研究揭示的种系和体细胞突变以及基因组信息,为建立与 HGSC 分子特征高度一致的临床前模型奠定了基础。尽管取得了这些进展,但 HGSC 研究领域仍然缺乏一种既强大又广泛适用的模型。在这篇综述中,我们讨论了迄今为止 HGSC 基因工程小鼠模型 (GEMM) 的最新进展和用途。对替代 HGSC 建模方法的进一步分析和批评考虑了体细胞基因编辑技术的进步以及在芯片上对能够发生肿瘤的原型器官进行建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e27a/7370285/f368c745f05e/ijms-21-04806-g001.jpg

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