Wen Ping, Wang Guanwen, Zhang Ningning, Shao Qing, Wang Long, Qu Fanli, Zeng Xiaohua
Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Front Oncol. 2025 Jun 24;15:1570532. doi: 10.3389/fonc.2025.1570532. eCollection 2025.
INTRODUCTION: Tumor metabolic reprogramming refers to the alteration of metabolic pathways and patterns by tumor cells to adapt to various environmental conditions and energy demands, thereby playing a pivotal role in tumor progression. Targeting tumor metabolism has been shown to exert anti-tumor effects and improve the efficacy of conventional cancer therapies. As a result, tumor metabolic reprogramming has become a research area of considerable clinical value and potential, warranting comprehensive investigation. METHODS: This bibliometric analysis was conducted to systematically summarize the research status, hotspots, and future trends in the field of tumor metabolic reprogramming. Relevant publications from January 1, 2014, to December 31, 2023, were retrieved from the Web of Science Core Collection. A total of 7,311 publications authored by 41,735 researchers from 5,967 institutions in 104 countries/regions were included. Bibliometric analysis and visualization were performed using VOSviewer, CiteSpace, and the bibliometrix R package. RESULTS: Keyword co-occurrence analysis revealed six major research clusters: tumor microenvironment, various cancers, pathological processes, major mechanisms, epigenetics, and mitochondria. The top three frequently occurring keywords were glycolysis, tumor microenvironment, and mitochondria. China was the most productive country (2,966 publications), followed by Fudan University as the most productive institution (216 publications), and Liu Yang as the most prolific author (40 publications). CONCLUSION: Research on tumor metabolic reprogramming has shown rapid global growth and demonstrates significant clinical importance and application potential, especially in the context of breast cancer..
引言:肿瘤代谢重编程是指肿瘤细胞改变代谢途径和模式以适应各种环境条件和能量需求,从而在肿瘤进展中发挥关键作用。靶向肿瘤代谢已被证明具有抗肿瘤作用,并能提高传统癌症治疗的疗效。因此,肿瘤代谢重编程已成为一个具有相当临床价值和潜力的研究领域,值得全面研究。 方法:进行这项文献计量分析是为了系统总结肿瘤代谢重编程领域的研究现状、热点和未来趋势。从科学网核心合集中检索了2014年1月1日至2023年12月31日期间的相关出版物。共纳入了来自104个国家/地区5967个机构的41735名研究人员撰写的7311篇出版物。使用VOSviewer、CiteSpace和文献计量学R包进行文献计量分析和可视化。 结果:关键词共现分析揭示了六个主要研究集群:肿瘤微环境、各种癌症、病理过程、主要机制、表观遗传学和线粒体。出现频率最高的三个关键词是糖酵解、肿瘤微环境和线粒体。中国是产出最多的国家(2966篇出版物),其次是产出最多的机构复旦大学(216篇出版物),以及产出最多的作者刘洋(40篇出版物)。 结论:肿瘤代谢重编程的研究在全球范围内呈现快速增长,具有重要的临床意义和应用潜力,尤其是在乳腺癌方面。
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