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癌症声动力治疗知识结构与主题的映射趋势:一项文本挖掘研究

Trends of mapping knowledge structure and themes of cancer sonodynamic therapy: a text-mining study.

作者信息

Wu Haiyang, Cheng Kunming, Sun Zaijie, Lu Yanqiu, Guo Qiang, Li Cheng

机构信息

Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Department of Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.

出版信息

Quant Imaging Med Surg. 2024 Dec 5;14(12):8734-8757. doi: 10.21037/qims-24-128. Epub 2024 Nov 29.

Abstract

BACKGROUND

Sonodynamic therapy (SDT) is a non-invasive cancer treatment technique stemming from photodynamic therapy (PDT) and has garnered escalated interest among researchers in recent years. Numerous aspects of cancer SDT remain contentious, and the global research trajectory within this domain remains insufficiently explored. This study seeks to delineate the comprehensive knowledge framework, developmental trends, and pivotal research focal points concerning cancer SDT.

METHODS

The study retrieved documents on cancer SDT from the Web of Science Core Collection (WoSCC) database spanning from 1 January 2000 to 7 December 2023. Bibliometric visualization was carried out through the utilization of CiteSpace 6.2 R6, VOSviewer 1.6.20, and an online analytical platform. Several bibliometric techniques including co-authorship, co-citation, co-occurrence, cluster, as well as burst analysis were used.

RESULTS

A total of 672 publications including 603 articles and 69 reviews were included. The annual publication count exhibited a steady increase over time, notably experiencing a surge, particularly in recent years. In terms of contributors, China has maintained its prominent position with the highest outputs and the most financial support. Chinese Academy of Sciences contributed the most articles. Materials Science was the most investigated research areas. Breast cancer emerged as the most extensively studied tumor, succeeded by sarcoma, hepatocellular carcinoma, melanoma, pancreatic cancer, glioma. According to co-cited references, "harnessing nanomaterial", "sonodynamic precision tumor therapy" and "metal-organic framework" denote the current and emerging research focuses within the field. In tandem with the results from keywords co-occurrence and burst, we identified the following research topics including mechanism of induced cell death (ferroptosis, immunogenic cell death), nano-related research (nanoplatform, nanozymes, nanomaterials, nanosheets, metal-organic frameworks (MOFs), nanocomposites, nanoparticles, nanosonosensitizers, liposomes, nanocarriers), combination therapies (chemodynamic therapy, immunotherapy, radiotherapy, photothermal therapy), and tumor microenvironment (hypoxia, singlet oxygen, oxidative stress), that may remain the research hotspots and receive sustained attention in the near future.

CONCLUSIONS

For the first time, this bibliometric analysis not only presents a comprehensive portrayal of the knowledge framework, but also delineates shifts in research focal points related to cancer SDT within the last two decades. This systematic summarization offers a comprehensive and lucid comprehension of cancer SDT, providing valuable insights for further investigations in this domain.

摘要

背景

声动力疗法(SDT)是一种源自光动力疗法(PDT)的非侵入性癌症治疗技术,近年来在研究人员中引起了越来越多的关注。癌症声动力疗法的许多方面仍存在争议,该领域的全球研究轨迹仍未得到充分探索。本研究旨在描绘有关癌症声动力疗法的全面知识框架、发展趋势和关键研究重点。

方法

该研究从科学网核心合集(WoSCC)数据库中检索了2000年1月1日至2023年12月7日期间关于癌症声动力疗法的文献。通过使用CiteSpace 6.2 R6、VOSviewer 1.6.20和一个在线分析平台进行文献计量可视化。使用了包括共同作者、共被引、共现、聚类以及突发分析在内的多种文献计量技术。

结果

共纳入672篇出版物,其中包括603篇文章和69篇综述。年发表量随时间呈稳步增长,尤其是近年来出现了激增。在贡献者方面,中国一直占据突出地位,产出最高且获得的资金支持最多。中国科学院发表的文章最多。材料科学是研究最多的领域。乳腺癌是研究最广泛的肿瘤,其次是肉瘤、肝细胞癌、黑色素瘤、胰腺癌、胶质瘤。根据共被引参考文献,“利用纳米材料”“声动力精准肿瘤治疗”和“金属有机框架”代表了该领域当前和新兴的研究重点。结合关键词共现和突发分析的结果,我们确定了以下研究主题,包括诱导细胞死亡的机制(铁死亡、免疫原性细胞死亡)、纳米相关研究(纳米平台、纳米酶、纳米材料、纳米片、金属有机框架(MOF)、纳米复合材料、纳米颗粒、纳米声敏剂、脂质体、纳米载体)、联合疗法(化学动力疗法、免疫疗法、放射疗法、光热疗法)以及肿瘤微环境(缺氧、单线态氧、氧化应激),这些可能在不久的将来仍然是研究热点并受到持续关注。

结论

这项文献计量分析首次不仅全面描绘了知识框架,还勾勒了过去二十年中与癌症声动力疗法相关的研究重点的变化。这种系统的总结提供了对癌症声动力疗法的全面而清晰的理解,为该领域的进一步研究提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b06/11651988/15e208e47edd/qims-14-12-8734-f1.jpg

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