类有机物
肿瘤微环境
药物发现
计算生物学
生物
计算机科学
肿瘤细胞
生物信息学
癌症研究
神经科学
出处
期刊:Cancer Letters
[Elsevier]
日期:2024-07-17
卷期号:598: 217122-217122
被引量:1
标识
DOI:10.1016/j.canlet.2024.217122
摘要
Tumor organoids have emerged as a crucial preclinical model for multiple cancer research. Their high establishment rates, stability, and ability to replicate key biological features of original tumor cells in vivo render them invaluable for exploring tumor molecular mechanisms, discovering potential anti-tumor drugs, and predicting clinical drug efficacy. Here, we review the establishment of tumor organoid models and provide an extensive overview of organoid culturing strategies. We also emphasize the significance of integrating cellular components of the tumor microenvironment and physicochemical factors in the organoid culturing system, highlighting the importance of artificial intelligence technology in advancing organoid construction. Moreover, we summarize recent advancements in utilizing organoid systems for novel anti-cancer drug screening and discuss promising trends for enhancing advanced organoids in next-generation disease modeling.
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