Zhu Yanqian, Chen Jiawei, Wang Yufei, Hu Jinyang, Gao Chen, Wu Linyu
Department of Radiology, The First Affiliated Hospital of Zhejiang, Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), 54 Youdian Road, Shangcheng District, Hangzhou, 310006, China.
The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Discov Oncol. 2025 Aug 12;16(1):1536. doi: 10.1007/s12672-025-03140-8.
Omics technologies, such as genomics, transcriptomics, proteomics, and radiomics, play an increasingly important role in the diagnosis and treatment of non-small cell lung cancer (NSCLC). It is, therefore, essential to unveil the research landscape and future trends of relevant research. This study aims to explore the research fields based on omics technologies in NSCLC, elucidating the research status, hotspots, and trends from a bibliometric perspective.
The Web of Science Core Collection was utilized to retrieve relevant publications in omics technologies and their applications in NSCLC. By using the bibliometric methods and tools ("bibliometrix" R package, VOSviewer, and CiteSpace), data and visualized analyses for annual publication outputs, countries, institutions, authors, journals, references, and keywords proceeded.
A total of 5,337 publications were involved in our analysis. These articles, written by 32,286 authors, originated in 5,863 institutions from 82 countries and were published in 797 journals. The Journal of Thoracic Oncology and Clinical Cancer Research were representative journals in omics-based research in NSCLC. "Survival," "adenocarcinoma," "mutation," "epidermal growth factor receptor," "resistance," and "chemotherapy" were the highest-frequency keywords. Liquid biopsy and deep learning were also trending topics in omics-related research, according to keyword clustering, trend topics, and citation burst analysis.
Omics technologies, including genomics, transcriptomics, and proteomics, were widely used in the diagnosis, prognosis, and treatment of NSCLC. And innovative methods, including liquid biopsy and deep learning, demonstrate a profound impact on advancing the understanding and treatment strategies for NSCLC and warrant further investigation.
基因组学、转录组学、蛋白质组学和放射组学等组学技术在非小细胞肺癌（NSCLC）的诊断和治疗中发挥着越来越重要的作用。因此，揭示相关研究的现状和未来趋势至关重要。本研究旨在从文献计量学角度探索基于组学技术的NSCLC研究领域，阐明研究现状、热点和趋势。
利用科学网核心合集检索组学技术及其在NSCLC中的应用的相关出版物。通过使用文献计量方法和工具（“bibliometrix”R包、VOSviewer和CiteSpace），对年度出版物产出、国家、机构、作者、期刊、参考文献和关键词进行数据和可视化分析。
我们的分析共涉及5337篇出版物。这些文章由32286位作者撰写，来自82个国家的5863个机构，并发表在797种期刊上。《胸部肿瘤学杂志》和《临床癌症研究》是NSCLC基于组学研究的代表性期刊。“生存”“腺癌”“突变”“表皮生长因子受体”“耐药性”和“化疗”是出现频率最高的关键词。根据关键词聚类、趋势主题和共被引突发分析，液体活检和深度学习也是组学相关研究中的热门话题。
包括基因组学、转录组学和蛋白质组学在内的组学技术广泛应用于NSCLC的诊断、预后和治疗。包括液体活检和深度学习在内的创新方法对推进NSCLC的认识和治疗策略具有深远影响，值得进一步研究。
