患者衍生子宫内膜癌组织块的生成与维护

IF 1 Q3 BIOLOGY
Mali Barbi, Divya Gowthaman, Arielle Katcher, Megan Gorman, Brian Yueh, Aaron Nizam, Charlie Chung, Erdogan Oguzhan Akyildiz, Marina Frimer, Gary L Goldberg, Semir Beyaz
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引用次数: 0

摘要

子宫内膜癌(EC)是美国妇科癌症发病率和死亡率的主要原因。尽管癌症研究取得了进展,但EC的死亡率仍在上升,尤其是高级别子宫内膜癌。与传统的二维细胞系相比,三维(3D)患者衍生类器官(PDO)模型能更准确地反映患者肿瘤的生物学和遗传学复杂性,因此开发三维(3D)患者衍生类器官(PDO)模型至关重要。在此,我们介绍了一种从正常子宫内膜和不同亚型的EC培养PDO模型的方案。这些EC PDO模型可进行多次传代扩增,有助于探索肿瘤行为和药物反应,从而加深我们对疾病的了解,并有可能开发出更有效、更个性化的新型治疗策略。主要特点 - 建立源自患者的EC和正常子宫内膜有机体。- 在有机体内准确复制不同组织学和分子亚型的EC。- 我们的方法为研究癌细胞的发展、转移、进展和复发提供了一个与临床相关的平台。- 它为开发针对特定EC亚型的靶向治疗干预措施提供了潜力。图表概述 从患者样本制备子宫内膜癌和正常类器官的示意图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generation and Maintenance of Patient-Derived Endometrial Cancer Organoids.

Endometrial cancer (EC) is the leading cause of gynecologic cancer morbidity and mortality in the U.S. Despite advancements in cancer research, EC death rates are increasing, particularly high-grade endometrial cancers. The development of three-dimensional (3D) patient-derived organoid (PDO) models for EC is crucial, as they provide a more accurate representation of the biological and genetic complexity of a patient's tumor compared to traditional 2D cell lines. Here, we describe a protocol for cultivating PDO models from normal endometrium and EC across different EC subtypes. These EC PDO models can be expanded across multiple passages and facilitate the exploration of tumor behavior and drug responses, thereby advancing our understanding of the disease and potentially leading to more effective and individualized novel therapeutic strategies. Key features • Establishment of patient-derived EC and normal endometrium organoids. • Accurate replication of the various histologic and molecular subtypes of EC within the organoids. • Our approach provides a clinically relevant platform for studying EC development, metastasis, progression, and recurrence. • It offers potential for developing targeted therapeutic interventions tailored to specific EC subtypes. Graphical overview Schematic overview of endometrial cancer and normal organoid preparation from patient-derived samples.

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