Ren Yi-Feng, Tan Shi-Yan, Wang Qian, He Jia-Wei, You Feng-Ming, Ma Qiong, You Li-Ting
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, 610072, People's Republic of China.
J Multidiscip Healthc. 2025 Jul 29;18:4291-4308. doi: 10.2147/JMDH.S516036. eCollection 2025.
BACKGROUND: The microbiota is intricately linked to lung cancer's development, progression, diagnosis, and treatment, garnering significant academic interest. This study employs bibliometric methods to trace trends and advancements, emphasizing the extraction and analysis of clinical research data, and outlines current challenges and future research directions. METHODS: We selected the literature in the Web of Science Core Collection database. To provide an overview, annual publications, countries/regions, and keywords were evaluated through a bibliometric analysis, and extracted and analyzed key clinical information. RESULTS: A total of 579 publications were reviewed, with 177 clinical studies chosen for detailed analysis. These publications, spanning from 1997 to 2025, showed a consistent yearly increase in the number of articles, despite some fluctuations. and were the most frequently cited journals in this area. Key contributors to this field include Yan Zhang, Jun Chen, Zoltan Lohinai, and Edit Dulka. China was the leading producer of publications, indicating its close monitoring of the field, though it did not emphasize international collaborations, resulting in less influential publications. Major topics in this field included lung cancer, gut microbiota, microbiome, immunotherapy, inflammation, and biomarkers. Future research will likely focus on biomarkers, machine learning, immunotherapy and mechanisms. Clinical studies have identified common microbiota, such as , and , as potential microbial biomarkers. CONCLUSION: This field has a bright research prospect, and there is a huge unmet clinical need. Future studies need to expand the sample size and further explore microbiota associated with the mechanisms, diagnosis, treatment and prognosis of lung cancer. Solving problems such as small sample size, heterogeneity of the population, sequencing bias, and precise diagnosis, conducting cross-regional and multicenter research, and identifying specific microbiota that have an important impact on cancer treatment are future challenges.
背景：微生物群与肺癌的发生、发展、诊断和治疗密切相关，引起了学术界的广泛关注。本研究采用文献计量学方法追踪其趋势和进展，重点是临床研究数据的提取和分析，并概述了当前的挑战和未来的研究方向。 方法：我们选择了Web of Science核心合集数据库中的文献。为了提供一个概述，通过文献计量分析评估了年度出版物、国家/地区和关键词，并提取和分析了关键的临床信息。 结果：共检索到579篇出版物，其中177篇临床研究被选作详细分析。这些出版物发表于1997年至2025年，尽管有一些波动，但文章数量呈逐年上升趋势。 和 是该领域最常被引用的期刊。该领域的主要贡献者包括张燕、陈军、佐尔坦·洛希奈和埃迪特·杜尔卡。中国是出版物的主要产出国，表明其对该领域的密切关注，不过中国未强调国际合作，导致出版物影响力较小。该领域的主要主题包括肺癌、肠道微生物群、微生物组、免疫治疗、炎症和生物标志物。未来的研究可能会集中在生物标志物、机器学习、免疫治疗和机制方面。临床研究已确定常见的微生物群，如 、 和 ，为潜在的微生物生物标志物。 结论：该领域具有广阔 的研究前景，临床需求尚未得到满足。未来的研究需要扩大样本量，并进一步探索与肺癌的机制、诊断、治疗和预后相关的微生物群。解决样本量小、人群异质性、测序偏差和精确诊断等问题，开展跨地区和多中心研究，以及识别对癌症治疗有重要影响的特定微生物群是未来的挑战。
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