首页|基于CiteSpace及VOSviewer对乳腺癌中PI3K/Akt/mTOR信号通路的可视化分析

基于CiteSpace及VOSviewer对乳腺癌中PI3K/Akt/mTOR信号通路的可视化分析

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目的:采用文献计量学方法分析乳腺癌中磷脂酰肌醇3-激酶/蛋白激酶B/哺乳动物雷帕霉素靶蛋白(PI3K/Akt/mTOR)信号通路的研究现状与发展趋势,为后续乳腺癌的治疗提供新的思路.方法:通过Web of Science检索自2003 年1 月1 日至2022 年6 月30 日乳腺癌中PI3K/Akt/mTOR信号通路的相关文献,本文采用文献计量学进行数据挖掘,借助CiteSpace 6.1R2 和VOSviewer软件进行数据分析和可视化分析.结果:共检索 1 209 篇文章.近年来,有关乳腺癌中 PI3K/Akt/mTOR 信号通路的发文量波动上升,以KurzrockRazelle为代表的美国作者最为高产,高频关键词有乳腺癌、表达和PI3K/Akt/mTOR信号通路等,共形成了包括内分泌耐药在内的15 个聚类,其中肿瘤微环境、细胞周期阻滞和mTOR信号通路是近两年的研究趋势.结论:PI3K/Akt/mTOR信号通路在乳腺癌的治疗中扮演着重要角色,靶向PI3K/Akt/mTOR信号通路抑制剂的研究是治疗乳腺癌的研究重点.
Visualization Analysis of PI3K/Akt/mTOR Signaling Pathway in Breast Cancer Based on CiteSpace and VOSviewer
Objective:To analyze the research status and development trend of phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/Akt/mTOR)signaling pathway in breast cancer by bibliometric method,and to provide new ideas for the subsequent treatment of breast cancer.Methods:Literature related to PI3K/Akt/mTOR signaling pathway in breast cancer from January 1,2003 to June 30 2022 was retrieved through Web of Science,and bibliometrics was used for data mining.CiteSpace 6.1R2 and VOSviewer software were used for data analysis and visual analysis.Results:A total of 1209 articles were retrieved.In recent years,the number of articles related to PI3K/Akt/mTOR signaling pathway in breast cancer fluctuated.American authors represented by Kurzrock Razelle were the most prolific.The high-frequency keywords included breast cancer,expression and PI3K/Akt/mTOR signaling pathway,etc.A total of 15 clusters including endocrine resistance have been formed,among which tumor microenvironment,cell cycle arrest and mTOR signaling pathway have been the research trends in the past two years.Conclusions:PI3K/Akt/mTOR signaling pathway played an important role in the treatment of breast cancer,and research targeting PI3K/Akt/mTOR signaling pathway inhibitors was the focus of research for the treatment of breast cancer.

breast cancerPI3K/Akt/mTORCiteSpaceVOSviewervisual analysis

沈继伟、王智、傅浩栋、车晋、高俊峰、刘举、陈烨

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辽宁大学 药学院,辽宁 沈阳 110036

辽宁省小分子靶向药物研发工程研究中心,辽宁 沈阳 110036

乳腺癌 PI3K/Akt/mTOR CiteSpace VOSviewer 可视化分析

2024

辽宁大学学报(自然科学版)
辽宁大学

辽宁大学学报(自然科学版)

影响因子:0.371
ISSN:1000-5846
年,卷(期):2024.51(1)
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