Suppr超能文献

基于劳伦分类法的胃癌生物标志物预后价值研究趋势与热点:一项文献计量分析

Trends and hot spots in research on the prognostic value of gastric cancer biomarkers in the context of the Lauren classification: a bibliometric analysis.

作者信息

Azbergenov Nurbek Kozhakhmetuly, Nurulla Talshyn Amirkhanqyzy, Tulyayeva Anar Balkashevna, Akhmetova Saule Zhumabaevna, Kereeva Nurgul Meirimovna, Akanova Saltanat Nurslyamovna, Zholmukhamedova Dinara Almatovna

机构信息

Department of Pathological Anatomy and Forensic Medicine, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.

Department of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.

出版信息

Front Med (Lausanne). 2025 Jul 22;12:1612256. doi: 10.3389/fmed.2025.1612256. eCollection 2025.

Abstract

INTRODUCTION

Modern research is aimed at finding reliable prognostic biomarkers. The Lauren classification remains an important tool for predicting outcomes in gastric cancer, especially when combined with certain biomarkers and tumor molecular characteristics. This study aims at quantifying the accumulated knowledge about the prognostic value of stomach cancer biomarkers in the context of the morphological Lauren's classification, as well as providing recommendations for future studies.

METHODS

A literature search was conducted in the Scopus database in December 2024. The selection included 162 publications for the period 1995-2024. The analysis was performed using the statistical software RStudio, widely used in scientific research. The specialized Biblioshiny package was utilized for data analysis and visualization.

RESULTS

The average annual growth rate was 3.86%, and the average number of citations per article - 30.4, which underlines the high importance of the topic of the study. The largest number of publications originated from China (292 articles). Leading research institutions include Sungkyunkwan University School of Medicine (13 documents), Fudan University (12 documents), and Yonsei University College of Medicine (11 documents). The most prolific author is Zhang J., who conducted 13 studies in this field. The journal Pathology - Research and Practice holds the leading position with 8 publications. The most frequently occurring keyword is "gastric cancer" (94 mentions). Thematic trends include research on HER2 and microsatellite instability.

CONCLUSION

The bibliometric analysis revealed the active development of research on the role of biomarkers in predicting gastric cancer prognosis based on Lauren's classification. China is the leading country in this field, Sungkyunkwan University School of Medicine is the most active research institution, Zhang J. is the most influential researcher, Pathology - Research and Practice is the most productive journal. Current research focuses on HER2 and microsatellite instability.

摘要

引言

现代研究旨在寻找可靠的预后生物标志物。劳伦分类法仍然是预测胃癌预后的重要工具,尤其是与某些生物标志物和肿瘤分子特征相结合时。本研究旨在量化在劳伦形态学分类背景下关于胃癌生物标志物预后价值的累积知识,并为未来研究提供建议。

方法

2024年12月在Scopus数据库中进行了文献检索。选取了1995年至2024年期间的162篇出版物。使用科研中广泛使用的统计软件RStudio进行分析。利用专门的Biblioshiny软件包进行数据分析和可视化。

结果

年平均增长率为3.86%,每篇文章的平均被引次数为30.4次,这突出了该研究主题的高度重要性。发表文章数量最多的国家是中国(292篇文章)。主要研究机构包括成均馆大学医学院(13篇文献)、复旦大学(12篇文献)和延世大学医学院(11篇文献)。发表文章最多的作者是张J.,其在该领域开展了13项研究。《病理学 - 研究与实践》杂志以8篇出版物位居首位。出现频率最高的关键词是“胃癌”(提及94次)。主题趋势包括对HER2和微卫星不稳定性的研究。

结论

文献计量分析揭示了基于劳伦分类法的生物标志物在预测胃癌预后作用方面的研究正在积极开展。中国是该领域的领先国家,成均馆大学医学院是最活跃的研究机构,张J.是最具影响力的研究人员,《病理学 - 研究与实践》是发表文章最多的期刊。当前研究集中在HER2和微卫星不稳定性方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dca8/12321778/593431fffff3/fmed-12-1612256-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验