Institute of Oral Sciences, College of Oral Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Department of Stomatology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
Curr Oncol. 2023 Oct 5;30(10):9004-9018. doi: 10.3390/curroncol30100650.
The research domain investigating bacterial factors in the development of oral cancer from January 2013 to December 2022 was examined with a bibliometric analysis. A bibliometric analysis is a mathematical and statistical method used to examine extensive datasets. It assesses the connections between prolific authors, journals, institutions, and countries while also identifying commonly used keywords. A comprehensive search strategy identified 167 relevant articles, revealing a progressive increase in publications and citations over time. China and the United States were the leading countries in research productivity, while Harvard University and the University of Helsinki were prominent affiliations. Prolific authors such as Nezar Al-Hebshi, Tsute Chen, and Yaping Pan were identified. The analysis also highlights the contributions of different journals and identifies the top 10 most cited articles in the field, all of which focus primarily on molecular research. The article of the highest citation explored the role of a surface protein in tumor immune evasion. Other top-cited articles investigated the correlation between the oral bacteriome and cancer using 16S rRNA amplicon sequencing, showing microbial shifts associated with oral cancer development. The functional prediction analysis used by recent studies has further revealed an inflammatory bacteriome associated with carcinogenesis. Furthermore, a keyword analysis reveals four distinct research themes: cancer mechanisms, periodontitis and microbiome, inflammation and , and risk factors. This analysis provides an objective assessment of the research landscape, offers valuable information, and serves as a resource for researchers to advance knowledge and collaboration in the search for the influence of bacteria on the prevention, diagnosis, and treatment of oral cancer.
本研究运用文献计量分析,调查了 2013 年 1 月至 2022 年 12 月间有关口腔癌中细菌因素的研究领域。文献计量分析是一种数学和统计学方法,用于研究广泛的数据集。它评估了高产作者、期刊、机构和国家之间的联系,同时也确定了常用的关键词。通过全面的搜索策略,确定了 167 篇相关文章,揭示了出版物和引文随时间的推移呈递增趋势。中国和美国是研究成果的主要国家,而哈佛大学和赫尔辛基大学则是突出的合作机构。确定了 Nezar Al-Hebshi、Tsute Chen 和 Yaping Pan 等高产作者。分析还突出了不同期刊的贡献,并确定了该领域引用最多的前 10 篇文章,这些文章都主要集中在分子研究上。引用次数最高的文章探讨了一种表面蛋白在肿瘤免疫逃逸中的作用。其他引用次数较高的文章使用 16S rRNA 扩增子测序研究了口腔细菌组与癌症的相关性,显示了与口腔癌发展相关的微生物变化。最近的研究中使用的功能预测分析进一步揭示了与致癌作用相关的炎症细菌组。此外,关键词分析揭示了四个不同的研究主题:癌症机制、牙周炎和微生物组、炎症和 、以及危险因素。这项分析对研究领域进行了客观评估,提供了有价值的信息,并为研究人员提供了资源,以推进对细菌对口腔癌预防、诊断和治疗的影响的研究和合作。
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