Wang Renjie, Jia Zhihong, Peng Liang, Xu Jinghui, Zhu Qiying, Wu Yinghong
Department of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Department of Gynecology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Discov Oncol. 2025 May 12;16(1):737. doi: 10.1007/s12672-025-02583-3.
Endometrial cancer (EC) is a common gynecological malignancy with increasing incidence, especially in developed nations. Understanding genetic variations, particularly single nucleotide polymorphisms (SNPs), is crucial for uncovering the disease's pathogenesis, progression, and treatment responses. This study explores the global research landscape of SNPs in EC, focusing on field evolution, key contributors, and emerging trends.
A systematic search of the Web of Science Core Collection (WoSCC) retrieved 838 publications on SNPs in EC from 1991 to 2024. Bibliometric indicators, including publication volume, citation counts, and keyword occurrences, were analyzed using VOSviewer, CiteSpace, and the R package "bibliometrix" for visual mapping and trend analysis.
The United States (230 publications) and China (182 publications) were leaders in research output. Harvard University and the National Cancer Institute were prominent contributors. Key themes included "microsatellite instability" (a hallmark of DNA mismatch repair deficiency) and "genome-wide association studies" (GWAS), identifying susceptibility loci like HNF1B and CYP19A1. Recent trends, such as "Mendelian randomization," have enhanced causal inference in risk factor studies. SNP research has advanced risk prediction models and personalized therapeutic strategies, such as hormone therapy tailored to genetic profiles.
SNP research has deepened our understanding of EC's genetic basis, with a growing emphasis on Mendelian randomization and GWAS. These advancements have refined risk prediction and opened new avenues for personalized medicine. Integrating SNP data with environmental and hormonal factors remains crucial for advancing prevention, diagnosis, and treatment strategies in EC.
子宫内膜癌(EC)是一种常见的妇科恶性肿瘤,其发病率呈上升趋势,在发达国家尤为明显。了解基因变异,特别是单核苷酸多态性(SNP),对于揭示该疾病的发病机制、进展和治疗反应至关重要。本研究探讨了EC中SNP的全球研究格局,重点关注领域演变、关键贡献者和新兴趋势。
对科学网核心合集(WoSCC)进行系统检索,从1991年至2024年共检索到838篇关于EC中SNP的出版物。使用VOSviewer、CiteSpace和R包“bibliometrix”对文献计量指标,包括出版物数量、引用次数和关键词出现频率进行分析,以进行可视化映射和趋势分析。
美国(230篇出版物)和中国(182篇出版物)在研究产出方面领先。哈佛大学和美国国家癌症研究所是突出的贡献者。关键主题包括“微卫星不稳定性”(DNA错配修复缺陷的一个标志)和“全基因组关联研究”(GWAS),识别出如HNF1B和CYP19A1等易感基因座。近期趋势,如“孟德尔随机化”,增强了风险因素研究中的因果推断。SNP研究推动了风险预测模型和个性化治疗策略的发展,如根据基因谱定制的激素治疗。
SNP研究加深了我们对EC遗传基础的理解,越来越重视孟德尔随机化和GWAS。这些进展改进了风险预测,并为个性化医学开辟了新途径。将SNP数据与环境和激素因素相结合对于推进EC的预防、诊断和治疗策略仍然至关重要。