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炎症、三级淋巴结构与肺癌:一项文献计量分析

Inflammation, tertiary lymphoid structures, and lung cancer: a bibliometric analysis.

作者信息

Liu Xiwen, Liu Huiting, Huang Linchong, Lin Lixuan, Cai Qi, Xiang Yang, Liu Zengfu, Zeng Shuxin, He Jianxing, Liang Wenhua

机构信息

Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.

The First Clinical College of Guangzhou Medical University, Guangzhou, China.

出版信息

Transl Lung Cancer Res. 2024 Oct 31;13(10):2636-2648. doi: 10.21037/tlcr-24-350. Epub 2024 Oct 28.

DOI:10.21037/tlcr-24-350
PMID:39507023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11535850/
Abstract

BACKGROUND

The intricate interplay between inflammation and lung cancer has long been recognized by large number of studies, yet a comprehensive understanding of this relationship remains elusive. There is a clinical need to elucidate the role of tertiary lymphoid structures (TLSs) in lung cancer, particularly their impact on prognosis and therapy. This study aims to address these gaps by conducting a bibliometric analysis to explore the correlations between lung cancer, inflammation, and TLS, highlighting collaborative networks, publication trends, and emerging research directions.

METHODS

This study conducted a comprehensive bibliometric analysis of academic literature on lung cancer and inflammation from 2013 to 2023 using the Web of Science Core Collection database. The search strategy "topic (TS) = ('lung cancer') AND TS = (inflammation)" yielded 5,470 records, which were refined through exclusion criteria to 1,284 relevant studies. The inclusion process involved excluding non-English studies and non-original articles or reviews, followed by a relevance check based on titles and abstracts. The bibliometric indicators were calculated based on a transparent and repeatable methodology to ensure the integrity of the findings.

RESULTS

The investigation encompassed 1,284 selected studies, revealing an escalating publication trend since 2013. The interdisciplinary scope of research is apparent, with contributions from 54 countries, with China at the forefront. In-depth author and journal analyses exposed key contributors like Zhang L and influential journals like "". Co-citation networks illuminated crucial references, clusters, and evolving themes over time, underscoring the intricate relationship between inflammation, cancer, and TLS. TLS as a key component of immune response and inflammation, studying its mechanism of impact on cancer will be a potential research direction in the future.

CONCLUSIONS

This study underscores the pivotal role of inflammation in lung cancer progression, mediated by a delicate balance of immune responses. The emerging prominence of TLS as indicator of adaptive immune responses within the tumor microenvironment (TME) offers intriguing avenues for future research and therapeutic interventions. However, limitations in the current research, such as the need for more longitudinal studies and clinical trials, must be addressed. The insights gained from this bibliometric analysis can inform clinical practices and guide future investigations into novel strategies to improve patient outcomes.

摘要

背景

大量研究早已认识到炎症与肺癌之间复杂的相互作用,但对这种关系的全面理解仍然难以捉摸。临床上需要阐明三级淋巴结构(TLSs)在肺癌中的作用,特别是它们对预后和治疗的影响。本研究旨在通过进行文献计量分析来填补这些空白,以探索肺癌、炎症和TLS之间的相关性,突出合作网络、出版趋势和新兴研究方向。

方法

本研究使用Web of Science核心合集数据库对2013年至2023年关于肺癌和炎症的学术文献进行了全面的文献计量分析。搜索策略“主题(TS)=(‘肺癌’)且TS =(炎症)”产生了5470条记录,通过排除标准将其细化为1284项相关研究。纳入过程包括排除非英文研究以及非原创文章或综述,随后根据标题和摘要进行相关性检查。文献计量指标是基于透明且可重复的方法计算得出的,以确保研究结果的完整性。

结果

该调查涵盖了1284项选定研究,显示出自2013年以来出版物呈上升趋势。研究的跨学科范围很明显,有来自54个国家的贡献,中国处于领先地位。深入的作者和期刊分析揭示了像张L这样的关键贡献者以及像《》这样有影响力的期刊。共被引网络揭示了关键参考文献、聚类以及随时间演变的主题,强调了炎症、癌症和TLS之间的复杂关系。TLS作为免疫反应和炎症的关键组成部分,研究其对癌症的影响机制将是未来一个潜在的研究方向。

结论

本研究强调了炎症在肺癌进展中的关键作用,这是由免疫反应的微妙平衡介导的。TLS作为肿瘤微环境(TME)内适应性免疫反应指标的日益突出,为未来的研究和治疗干预提供了有趣的途径。然而,当前研究存在局限性,例如需要更多的纵向研究和临床试验,必须加以解决。从这项文献计量分析中获得的见解可以为临床实践提供信息,并指导未来对改善患者预后的新策略的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/1bf7b93c6eca/tlcr-13-10-2636-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/d50dc8660557/tlcr-13-10-2636-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/fc7d348538a0/tlcr-13-10-2636-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/1155c5d0a409/tlcr-13-10-2636-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/1bf7b93c6eca/tlcr-13-10-2636-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/d50dc8660557/tlcr-13-10-2636-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/fc7d348538a0/tlcr-13-10-2636-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/1155c5d0a409/tlcr-13-10-2636-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e78/11535850/1bf7b93c6eca/tlcr-13-10-2636-f4.jpg

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