背景:尽管癌症免疫治疗取得了相当大的进展,它不适用于许多患者。对免疫检查点阻断剂的抗性来自癌症与其微环境之间的复杂相互作用。肿瘤中的代谢重编程和肿瘤微环境(TME)中的免疫细胞通过重塑免疫微环境来影响抗肿瘤免疫反应。代谢重编程已成为肿瘤发生的重要标志。然而,很少有研究关注TME和代谢重编程。因此,我们旨在使用文献计量学方法探讨TME相关代谢重编程20年来的研究现状和热门主题。
方法:使用WebofScienceCoreCollection数据库检索关注代谢重编程和TME的研究。使用Bibliometrix对文章和评论进行了文献计量和视觉分析,VOSviewer,和城市空间。
结果:总计,选择了在2003年至2022年之间发表的4726篇文章。出版物和引文的数量逐年增加。合作网络分析表明,美国在代谢重编程和TME研究中处于领先地位,出版物和引用量最高,从而发挥最大的影响力。在这些机构中,复旦大学表现出最高的生产力水平。免疫学前沿在该领域表现出最高的生产力。何炳志的文章贡献最多,皮尔斯·爱德华·J是被引用最多的作者。在对作者关键词进行聚类分析后,获得了四个聚类:TME,代谢重编程,免疫代谢,和豁免权。免疫代谢,糖酵解,免疫细胞,和肿瘤相关巨噬细胞是相对较新的关键词,引起了越来越多的关注。
结论:评估了代谢重编程和TME的全面进展,这为学者们进一步推进这一充满希望的领域提供了重要信息。进一步的研究应使用跨学科方法探索与TME中免疫代谢相关的新主题。
BACKGROUND: Despite considerable progress in cancer immunotherapy, it is not available for many patients. Resistance to immune checkpoint blockers arises from the intricate interactions between cancer and its microenvironment. Metabolic reprogramming in tumor and immune cells in the tumor microenvironment (TME) influences anti-tumor immune responses by remodeling the immune microenvironment. Metabolic reprogramming has emerged as an important hallmark of tumorigenesis. However, few studies have focused on the TME and metabolic reprogramming. Therefore, we aimed to explore the current research status and popular topics in TME-related metabolic reprogramming over a 20 years using a bibliometric approach.
METHODS: Studies focusing on metabolic reprogramming and TME were searched using the Web of Science Core Collection database. Bibliometric and visual analyses of the articles and reviews were performed using Bibliometrix, VOSviewer, and CiteSpace.
RESULTS: In total, 4726 articles published between 2003 and 2022 were selected. The number of publications and citations has increased annually. Cooperation network analysis indicated that the United States holds the foremost position in metabolic reprogramming and TME research with the highest volume of publications and citations, thus exerting the greatest influence. Among these institutions, Fudan University displayed the highest level of productivity. Frontiers in Immunology showed the highest degree of productivity in this field. Ho Ping-Chih made the most article contributions, and Pearce Edward J. was the most co-cited author. Four clusters were obtained after a cluster analysis of the authors\' keywords: TME, metabolic reprogramming, immunometabolism, and immunity. Immunometabolism, glycolysis, immune cells, and tumor-associated macrophages are relatively recent keywords that have attracted increasing attention.
CONCLUSIONS: A comprehensive landscape of advancements in metabolic reprogramming and the TME was evaluated, which provided crucial information for scholars to further advance this promising field. Further research should explore new topics related to immunometabolism in the TME using a transdisciplinary approach.