目的 肿瘤类器官作为研究肿瘤生物学及新型预防和治疗策略的有力工具，近年来发展迅速。系统梳理并可视化国内外肿瘤类器官研究的现状与前沿热点，为肿瘤类器官领域的未来发展方向与研究布局提供参考。方法 在Web of Science核心数据库和Scopus数据库中使用主题词和自由词结合的策略，在中国学术期刊全文数据库（CNKI）数据库使用主题词检索策略，检索肿瘤类器官相关文献。使用R语言（version 4.2.1）分析基础数据，包括主要信息、年度发文情况、国家、机构、期刊和作者等信息。CiteSpace用于研究热点的协同分析及合作网络的可视化。结果 共纳入英文文献7 329篇，中文文献636篇，美国是发文量最高的国家，国际合作最为密切且美国哈佛大学是发文量最高的机构。Cancers在该领域发表了最多的论文（292篇）。构建和应用多种肿瘤类器官及生物库是该领域的主要研究热点。结论 文献计量学分析表明，近25年来肿瘤类器官领域发展迅速。研究核心聚焦于多样化肿瘤类器官及生物样本库的构建与应用，该平台深化了对肿瘤异质性及微环境的理解，已成为高通量药物筛选与个体化治疗预测的关键技术。未来需推动模型标准化、促进与多组学及人工智能的深度融合，将是实现其临床精准应用转化的关键。

Objective Tumor organoids have emerged as a promising tool for understanding tumor biology and developing new prevention and treatment strategies. This article systematically reviews and visualizes the current status and cutting-edge hotspots of tumor organoids research both at home and abroad, providing a reference for the future development direction and research layout in the field of tumor organoids. Methods The strategy of combining subject terms and free terms was adopted in the Web of Science core database and Scopus database, and the subject term search strategy was used in the CNKI database to search for the literature related to tumor organoids. R language was used to analyze basic data, including main information, annual scientific production, countries, institutions, sources, and authors. CiteSpace was used for co-occurrence analysis and visualization of the collaboration networks of research hotspots. Results A total of 7 329 English literatures and 636 Chinese literatures related to tumor organoids were included in the analysis. The USA was the most productive country, with the most international collaborations and Harvard University in the United States is the institution with the highest output. Cancers published the most papers (n = 292). The construction and application of various tumor organoids and biobanks were found to be the main research topics in the field. Conclusion Our bibliometric analysis revealed that the field of tumor organoids has developed rapidly in the past 25 years. The present research focuses on construction and application of various tumor organoids and biobanks. This platform has deepened the understanding of tumor heterogeneity and the microenvironment, and has become a key technology for high-throughput drug screening and individualized treatment prediction. In the future, promoting the standardization of models and facilitating their deep integration with multi-omics and artificial intelligence will be the key to achieving precise clinical application and transformation.

R979.1

国家自然科学基金青年项目（82405354）；国家资助博士后研究人员计划（GZC20230339）；中国博士后科学基金面上项目（2023MD744129）；四川省自然科学基金青年基金项目（2025ZNSFSC1850）；成都市科技局重点研发项目（2024-YF05-01921-SN）