Exploring the Anti-cancer Potential of Traditional Chinese Medicine Using Organoid Models
10.3870/j.issn.1004-0781.2025.08.004
- VernacularTitle:利用类器官模型探究中药的抗癌潜力
- Author:
Jingyu PENG
1
;
Li LIU
1
;
Yifang DENG
1
Author Information
1. 中国医药工业研究总院先导物成药性研究全国重点实验室,上海 200437;上海市生物物质成药性评价专业技术服务平台,上海 200437
- Publication Type:Journal Article
- Keywords:
Organoids;
Traditional Chinese medicine;
Natural compounds;
Cancer;
Co-culture;
Artificial intelligence
- From:
Herald of Medicine
2025;44(8):1215-1220
- CountryChina
- Language:Chinese
-
Abstract:
According to the latest 2022 Global Cancer Burden report released by the World Health Organization's International Agency for Research on Cancer,the number of newly diagnosed cancer patients worldwide continues to rise,and this trend is expected to become more pronounced by 2050.In the same year,China's cancer incidence report for 2022 revealed that both the number of new cancer cases and cancer-related deaths have continued to increase compared to previous years,indicating a worrying situation.Amid the growing demand for effective cancer therapies,the development of anti-cancer drugs is gaining significant momentum.Traditional Chinese Medicine(TCM)has begun to play an increasingly prominent role in the anti-cancer drug market,contributing a unique"Chinese solution"to global cancer treatment.However,TCM is characterized by its multi-component,multi-pathway,and multi-target nature,making it challenging to comprehensively study its anti-cancer mechanisms using traditional research models.Consequently,there is an urgent need to develop new research models that align with the characteristics of TCM.Organoids,as an emerging technology and an ideal preclinical model for human diseases,address the limitations of traditional disease models in TCM research.Their application in the study of TCM's anti-cancer effects is rapidly expanding.This article reviews and summarizes the use of organoid technology in TCM-based anti-cancer research,analyzing its advantages,limitations and developmental trends.
