Suppr超能文献

用于研究内分泌治疗耐药机制的乳腺癌模型。

breast cancer models for studying mechanisms of resistance to endocrine therapy.

作者信息

Cheng Gary J, Leung Euphemia Y, Singleton Dean C

机构信息

Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences, The University of Auckland, Auckland 1023, New Zealand.

Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland 1023, New Zealand.

出版信息

Explor Target Antitumor Ther. 2022;3(3):297-320. doi: 10.37349/etat.2022.00084. Epub 2022 Jun 1.

Abstract

The development of endocrine resistance is a common reason for the failure of endocrine therapies in hormone receptor-positive breast cancer. This review provides an overview of the different types of models that have been developed as tools for studying endocrine resistance. models include cell lines that have been rendered endocrine-resistant by treatment; cell lines with resistance mechanisms, including genetic alterations; three-dimensional (3D) spheroid, co-culture, and mammosphere techniques; and patient-derived organoid models. In each case, the key discoveries, different analysis strategies that are suitable, and strengths and weaknesses are discussed. Certain recently developed methodologies that can be used to further characterize the biological changes involved in endocrine resistance are then emphasized, along with a commentary on the types of research outcomes that using these techniques can support. Finally, a discussion anticipates how these recent developments will shape future trends in the field. We hope this overview will serve as a useful resource for investigators that are interested in understanding and testing hypotheses related to mechanisms of endocrine therapy resistance.

摘要

内分泌耐药的发展是激素受体阳性乳腺癌内分泌治疗失败的常见原因。本综述概述了已开发出的作为研究内分泌耐药工具的不同类型模型。这些模型包括经处理后产生内分泌耐药的细胞系;具有耐药机制(包括基因改变)的细胞系;三维(3D)球体、共培养和乳腺球技术;以及患者来源的类器官模型。在每种情况下,都讨论了关键发现、适用的不同分析策略以及优缺点。接着强调了某些最近开发的可用于进一步表征内分泌耐药所涉及生物学变化的方法,以及对使用这些技术可支持的研究结果类型的评论。最后,讨论预测了这些最新进展将如何塑造该领域的未来趋势。我们希望这一概述能为有兴趣理解和检验与内分泌治疗耐药机制相关假设的研究人员提供有用的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6def/9400723/182a5a62f9d3/etat-03-100284-g001.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