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全球关于中性粒细胞胞外陷阱与肿瘤之间关联的研究趋势和重点:2006 年至 2024 年的文献计量学和可视化分析。

Global research trends and focus on the link between neutrophil extracellular traps and tumor: a bibliometric and visualization analysis from 2006 to 2024.

机构信息

Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China.

出版信息

Front Immunol. 2024 Sep 24;15:1452104. doi: 10.3389/fimmu.2024.1452104. eCollection 2024.


DOI:10.3389/fimmu.2024.1452104
PMID:39381001
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11459091/
Abstract

BACKGROUND: Neutrophil extracellular traps (NETs) have long been consistently considered an innate immune defense against foreign pathogens, but this oversimplified view has decelerated the progression of perceiving NET biology in chronic diseases. It is now increasingly accepted that NETs are not exclusive to anti-infection responses, but are also central players with a double-edged sword role in cancer progression. NETs have gradually emerged as tumor diagnostic, predictive, and prognostic biomarkers, and strenuous endeavors have been devoted to tapping their potential as new therapeutic targets. Correspondingly, the boom in studies on NETs and tumors in recent years has achieved a series of scientific outputs, which opens up a new perspective for perceiving the sophisticated landscapes of the tumor immune microenvironment. However, there is still much room to translate NET-targeted immunotherapies into clinical practice. Therefore, it is necessary to explore the knowledge structure and latent hotspots of the links between NETs and tumors using bibliometric analysis. METHODS: NETs and tumor publications from 2006 to 2024 were extracted from the Web of Science Core Collection. Bibliometric analysis and visualization were conducted using Microsoft Excel, VOSviewer, CiteSpace, and R-bibliometrix. RESULTS: The analysis included 1,339 publications authored by 7,747 scholars affiliated with 1,926 institutions across 70 countries/regions with relevant articles published in 538 journals. Despite China's maximum number of publications, the United States has continued to dominate the field as a global cooperation center with overwhelming citation counts. Frontiers in Immunology published the most number of publications, whereas Blood was the most cited journal. Wagner, Denisa D. and Kaplan, Mariana J. are concurrently in both the top 10 most prolific authors and cited author lists. Tumor microenvironment and immunotherapy will likely be the focus of future research. CONCLUSIONS: A comprehensive bibliometric analysis was first conducted to map the current landscape and knowledge structure of the link between NETs and tumors in the hope of providing guidance and fresh perspectives for further research in this field. NETs are promising antitumor targets, and perhaps the eventual destination in the realm is to translate NET-targeted immunotherapies into clinical practice.

摘要

背景:中性粒细胞胞外诱捕网(NETs)长期以来一直被认为是抵御外来病原体的固有免疫防御机制,但这种过于简单化的观点阻碍了人们对慢性疾病中 NET 生物学的认识。现在越来越多的人认为,NETs 不仅是抗感染反应所必需的,而且在癌症进展中也具有双刃剑作用的核心参与者。NETs 已逐渐成为肿瘤诊断、预测和预后的生物标志物,人们正在努力挖掘其作为新的治疗靶点的潜力。相应地,近年来关于 NETs 和肿瘤的研究热潮取得了一系列的科学成果,为认识肿瘤免疫微环境的复杂景观开辟了新的视角。然而,将 NET 靶向免疫疗法转化为临床实践仍有很大的空间。因此,有必要通过文献计量学分析来探讨 NET 与肿瘤之间联系的知识结构和潜在热点。

方法:从 Web of Science 核心合集数据库中提取了 2006 年至 2024 年间关于 NETs 和肿瘤的出版物。使用 Microsoft Excel、VOSviewer、CiteSpace 和 R-bibliometrix 进行文献计量分析和可视化。

结果:分析共纳入了来自 70 个国家/地区的 1926 个机构的 7747 位学者撰写的 1339 篇出版物,相关文章发表在 538 种期刊上。尽管中国发表的文章数量最多,但美国作为一个全球合作中心,其引文数量仍然占据压倒性优势。Frontiers in Immunology 发表的文章数量最多,而 Blood 是被引频次最高的期刊。Wagner,Denisa D. 和 Kaplan,Mariana J. 同时位列最具影响力的作者和被引作者名单中。肿瘤微环境和免疫疗法很可能是未来研究的重点。

结论:本文首次进行了全面的文献计量分析,以描绘 NETs 与肿瘤之间联系的现状和知识结构,希望为该领域的进一步研究提供指导和新的视角。NETs 是很有前途的抗肿瘤靶点,也许最终目标是将 NET 靶向免疫疗法转化为临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/e4e69bd5103e/fimmu-15-1452104-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/66fbf37f7d8b/fimmu-15-1452104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/a25b53d7dd4a/fimmu-15-1452104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/ab6ea5725a58/fimmu-15-1452104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/4f0764bd8a3a/fimmu-15-1452104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/fbb9601c3703/fimmu-15-1452104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/00f49547ea10/fimmu-15-1452104-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/754656e1113e/fimmu-15-1452104-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/6ccd4a084c15/fimmu-15-1452104-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/e4e69bd5103e/fimmu-15-1452104-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/66fbf37f7d8b/fimmu-15-1452104-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/a25b53d7dd4a/fimmu-15-1452104-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/ab6ea5725a58/fimmu-15-1452104-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/4f0764bd8a3a/fimmu-15-1452104-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/fbb9601c3703/fimmu-15-1452104-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/00f49547ea10/fimmu-15-1452104-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/754656e1113e/fimmu-15-1452104-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/6ccd4a084c15/fimmu-15-1452104-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc9/11459091/e4e69bd5103e/fimmu-15-1452104-g009.jpg

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