Cong Rong, Lu Can, Li Xinying, Xu Zhijie, Wang Yaqin, Sun Shusen
Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.
Department of Pathology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Pharm Biol. 2025 Dec;63(1):89-109. doi: 10.1080/13880209.2025.2458149. Epub 2025 Feb 1.
The advent of tissue engineering and biomedical techniques has significantly advanced the development of three-dimensional (3D) cell culture systems, particularly tumor organoids. These self-assembled 3D cell clusters closely replicate the histopathological, genetic, and phenotypic characteristics of primary tissues, making them invaluable tools in cancer research and drug screening.
This review addresses the challenges in developing models that accurately reflect tumor heterogeneity and explores the application of tumor organoids in cancer research, with a specific focus on the screening of natural products for antitumor therapies.
This review synthesizes information from major databases, including Chemical Abstracts, Medicinal and Aromatic Plants Abstracts, ScienceDirect, Google Scholar, Scopus, PubMed and Springer Link. Publications were selected without date restrictions, using terms such as 'organoid', 'natural product', 'pharmacological', 'extract', 'nanomaterial' and 'traditional uses'. Articles related to agriculture, ecology, synthetic work or published in languages other than English were excluded.
The review identifies key challenges related to the efficiency and variability of organoid generation and discusses ongoing efforts to enhance their predictive capabilities in drug screening and personalized medicine. Recent studies utilizing patient-derived organoid models for natural compound screening are highlighted, demonstrating the potential of these models in developing new classes of anticancer agents. The integration of natural products with patient-derived organoid models presents a promising approach for discovering novel anticancer compounds and elucidating their mechanisms of action.
组织工程学和生物医学技术的出现显著推动了三维(3D)细胞培养系统的发展,尤其是肿瘤类器官。这些自组装的3D细胞簇紧密复制了原发组织的组织病理学、遗传学和表型特征,使其成为癌症研究和药物筛选中非常有价值的工具。
本综述阐述了开发能够准确反映肿瘤异质性的模型所面临的挑战,并探讨了肿瘤类器官在癌症研究中的应用,特别关注用于抗肿瘤治疗的天然产物筛选。
本综述综合了来自主要数据库的信息,包括《化学文摘》《药用和芳香植物文摘》《科学Direct》《谷歌学术》《Scopus》《PubMed》和《施普林格链接》。在选择出版物时不受日期限制,使用了“类器官”“天然产物”“药理学”“提取物”“纳米材料”和“传统用途”等术语。排除了与农业、生态学、合成工作或用非英语发表的文章。
该综述确定了与类器官生成的效率和变异性相关的关键挑战,并讨论了为提高其在药物筛选和个性化医疗中的预测能力而正在进行的努力。重点介绍了最近利用患者来源的类器官模型进行天然化合物筛选的研究,证明了这些模型在开发新型抗癌药物方面的潜力。将天然产物与患者来源的类器官模型相结合,为发现新型抗癌化合物并阐明其作用机制提供了一种很有前景的方法。