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癌症中外泌体研究的过去、现在与未来:文献计量与可视化分析

Past, present, and future of exosomes research in cancer: A bibliometric and visualization analysis.

作者信息

Xie Yafei, Mi Xingqi, Xing Yikai, Dai Zhangyi, Pu Qiang

机构信息

Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.

出版信息

Hum Vaccin Immunother. 2025 Dec;21(1):2488551. doi: 10.1080/21645515.2025.2488551. Epub 2025 Apr 10.

DOI:10.1080/21645515.2025.2488551
PMID:40207548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11988232/
Abstract

Cancer seriously threatens the lives and health of people worldwide, and exosomes seem to play an important role in managing cancer effectively, which has attracted extensive attention from researchers in recent years. This study aimed to scientifically visualize exosomes research in cancer (ERC) through bibliometric analysis, reviewing the past, summarizing the present, and predicting the future, with a view to providing valuable insights for scholars and policy makers. Researches search and data collection from Web of Science Core Collection and clinical trial.gov. Calculations and visualizations were performed using Microsoft Excel, VOSviewer, Bibliometrix R-package, and CiteSpace. As of December 1, 2024, and March 8, 2025, we identified 8,001 ERC-related publications and 107 ERC-related clinical trials, with an increasing trend in annual publications. Our findings supported that China, Nanjing Medical University, and International Journal of Molecular Sciences were the most productive countries, institutions, and journals, respectively. Whiteside, Theresa L. had the most publications, while Théry, C was the most co-cited scholar. In addition, Cancer Research was the most co-cited journal. Spatial and temporal distribution of clinical trials was the same as for publications. High-frequency keywords were "extracellular vesicle," "microRNA" and "biomarker." Additional, "surface functionalization," "plant," "machine learning," "nanomaterials," "promotes metastasis," "engineered exosomes," and "macrophage-derived exosomes" were promising research topics. Our study comprehensively and visually summarized the structure, hotspots, and evolutionary trends of ERC. It would inspire subsequent studies from a macroscopic perspective and provide a basis for rational allocation of resources and identification of collaborations among researchers.

摘要

癌症严重威胁着全球人们的生命健康,而外泌体似乎在有效管理癌症方面发挥着重要作用,近年来受到了研究人员的广泛关注。本研究旨在通过文献计量分析对癌症中外泌体研究(ERC)进行科学可视化,回顾过去、总结现状并预测未来,以期为学者和政策制定者提供有价值的见解。从Web of Science核心合集和clinicaltrial.gov进行研究检索和数据收集。使用Microsoft Excel、VOSviewer、Bibliometrix R包和CiteSpace进行计算和可视化。截至2024年12月1日和2025年3月8日,我们识别出8001篇与ERC相关的出版物和107项与ERC相关的临床试验,年度出版物呈增长趋势。我们的研究结果表明,中国、南京医科大学和《国际分子科学杂志》分别是产出最多的国家、机构和期刊。怀特赛德(Theresa L.)发表的文章最多,而泰里(Théry, C)是被引频次最高的学者。此外,《癌症研究》是被引频次最高的期刊。临床试验的时空分布与出版物相同。高频关键词为“细胞外囊泡”“微小RNA”和“生物标志物”。此外,“表面功能化”“植物”“机器学习”“纳米材料”“促进转移”“工程化外泌体”和“巨噬细胞衍生外泌体”是有前景的研究主题。我们的研究全面且直观地总结了ERC的结构、热点和演化趋势。它将从宏观角度启发后续研究,并为合理分配资源和确定研究人员之间的合作提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/5b44a5f4a4f2/KHVI_A_2488551_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/ffa52e72ee42/KHVI_A_2488551_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/4ed709bd78a2/KHVI_A_2488551_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/2aa333fe0f19/KHVI_A_2488551_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/d67efdad19f3/KHVI_A_2488551_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/13561a605e74/KHVI_A_2488551_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/5b44a5f4a4f2/KHVI_A_2488551_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/ffa52e72ee42/KHVI_A_2488551_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/4ed709bd78a2/KHVI_A_2488551_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/2aa333fe0f19/KHVI_A_2488551_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/d67efdad19f3/KHVI_A_2488551_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/13561a605e74/KHVI_A_2488551_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/11988232/5b44a5f4a4f2/KHVI_A_2488551_F0006_OC.jpg

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本文引用的文献

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Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.通过机器学习构建外泌体非编码RNA特征用于胃癌患者的无创早期检测:一项多队列研究
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全球癌症负担及相关风险因素 204 个国家和地区,1980-2021 年:GBD 2021 系统分析。
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