文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

基于文献计量学的乳腺癌化疗耐药性研究:知识图谱、热点演变及新见解(1994 - 2024年)

Bibliometric-driven research on chemoresistance in breast cancer: knowledge mapping, hotspot evolution, and emerging insights (1994-2024).

作者信息

Zhang Hao, Feng Ting, Lin Juntang, Yahaya Badrul Hisham

机构信息

Department of Biomedical Sciences, Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia, SAINS@Bertam, Kepala Batas, Penang, 13200, Malaysia.

Breast Cancer Translational Research Program (BCTRP), Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas, Pulau Pinang, 13200, Malaysia.

出版信息

Discov Oncol. 2025 Sep 3;16(1):1676. doi: 10.1007/s12672-025-03542-8.


DOI:10.1007/s12672-025-03542-8
PMID:40897893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12405092/
Abstract

BACKGROUND: Chemoresistance remains a pivotal challenge in the clinical management of breast cancer. A systematic dissection of global research trends, evolutionary hotspots, and emerging frontiers in this field is imperative for advancing therapeutic strategies. METHODS: Relevant literature on breast cancer chemoresistance from 1994 to 2024 was retrieved from the Science Citation Index-Expanded (SCI-E) database of the Web of Science Core Collection (WoSCC). Bibliometric analysis was conducted using Co-Occurrence (COOC 14.5), CiteSpace (6.1.R6), and R software (v4.2.3; packages: bibliometrix, ggplot2, and tidyverse). RESULTS: A total of 1,929 publications involving 75 countries/regions, 2,355 institutions, and 12,046 authors were analyzed. The journal Cancers published the highest number of articles (87). China contributed the largest share (803 articles), with Nanjing Medical University (53 articles) and researchers Ma Xin and Wang Yan (11 articles each) identified as the most productive institution and authors, respectively. Keyword analysis indicated that "triple-negative breast cancer (TNBC)," "doxorubicin resistance," and "breast cancer stem cells" were long-standing core topics. In the context of the big-data era, bioinformatics-driven multi-omics analyses have become mainstream approaches for investigating chemoresistance mechanisms. Targeting ferroptosis-related pathways has emerged as a novel therapeutic strategy in this field. Burst detection revealed "prognostic biomarkers" and "liquid biopsy" as current research hotspots, while reference analysis further suggested "circular RNA" and "breast cancer stemness" as critical future research directions. CONCLUSIONS: Through multidimensional bibliometric analyses, this study elucidates the developmental trajectory and potential breakthroughs in breast cancer chemoresistance research, offering a theoretical framework and translational insights for deeper exploration of resistance mechanisms and the design of precision therapeutic strategies.

摘要

背景:化疗耐药仍然是乳腺癌临床治疗中的一个关键挑战。对该领域的全球研究趋势、演变热点和新兴前沿进行系统剖析对于推进治疗策略至关重要。 方法:从科学网核心合集(WoSCC)的科学引文索引扩展版(SCI-E)数据库中检索1994年至2024年关于乳腺癌化疗耐药的相关文献。使用共现分析(COOC 14.5)、CiteSpace(6.1.R6)和R软件(v4.2.3;包:bibliometrix、ggplot2和tidyverse)进行文献计量分析。 结果:共分析了1929篇涉及75个国家/地区、2355个机构和12046名作者的出版物。《Cancers》杂志发表的文章数量最多(87篇)。中国的贡献最大(803篇文章),其中南京医科大学(53篇文章)以及研究人员马鑫和王燕(各11篇文章)分别被确定为发文量最高的机构和作者。关键词分析表明,“三阴性乳腺癌(TNBC)”、“多柔比星耐药”和“乳腺癌干细胞”是长期以来的核心主题。在大数据时代背景下,生物信息学驱动的多组学分析已成为研究化疗耐药机制的主流方法。靶向铁死亡相关途径已成为该领域一种新的治疗策略。突变检测显示“预后生物标志物”和“液体活检”是当前的研究热点,而参考文献分析进一步表明“环状RNA”和“乳腺癌干性”是未来关键的研究方向。 结论:通过多维文献计量分析,本研究阐明了乳腺癌化疗耐药研究的发展轨迹和潜在突破,为深入探索耐药机制和设计精准治疗策略提供了理论框架和转化见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/62b1a76ace6c/12672_2025_3542_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/d313a3bbd2f8/12672_2025_3542_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/18bb31003a8c/12672_2025_3542_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/e40d1b07f78d/12672_2025_3542_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/05f2aab02f3b/12672_2025_3542_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/62b1a76ace6c/12672_2025_3542_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/d313a3bbd2f8/12672_2025_3542_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/18bb31003a8c/12672_2025_3542_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/e40d1b07f78d/12672_2025_3542_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/05f2aab02f3b/12672_2025_3542_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31ea/12405092/62b1a76ace6c/12672_2025_3542_Fig8_HTML.jpg

相似文献

[1]
Bibliometric-driven research on chemoresistance in breast cancer: knowledge mapping, hotspot evolution, and emerging insights (1994-2024).

Discov Oncol. 2025-9-3

[2]
Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis.

Updates Surg. 2025-6-28

[3]
Knowledge graph and bibliometric analysis of inflammatory indicators in ovarian cancer.

Front Oncol. 2025-6-30

[4]
Knowledge mapping of ultrasound technology and triple-negative breast cancer: a visual and bibliometric analysis.

Discov Oncol. 2025-7-1

[5]
Data-driven trends in critical care informatics: a bibliometric analysis of global collaborations using the MIMIC database (2004-2024).

Comput Biol Med. 2025-9

[6]
Global research trends and hotspots in prognostic prediction models for pancreatic cancer: a bibliometric analysis.

Front Oncol. 2025-7-10

[7]
Research trends and topics on sepsis immunosuppression: a bibliometric and visual analysis of global research from 2004 to 2024.

Front Med (Lausanne). 2025-8-4

[8]
A bibliometric analysis of research trends in mesenchymal stem cell therapy for neonatal bronchopulmonary dysplasia: 2004-2024.

Front Pediatr. 2025-6-3

[9]
Global Trends in Cadaver Donation and Medical Education Research: Bibliometric Analysis Based on VOSviewer and CiteSpace.

JMIR Med Educ. 2025-8-18

[10]
Worldwide research on 3D printing for cancer: a dual-method analysis of bibliometrics and stratified focused thematic.

Int J Surg. 2025-9-4

本文引用的文献

[1]
Insights into the history and tendency of liver transplantation for liver cancer: a bibliometric-based visual analysis.

Int J Surg. 2024-1-1

[2]
Global trends in PANoptosis research: bibliometrics and knowledge graph analysis.

Apoptosis. 2024-2

[3]
Global trends and prospects in health economics of robotic surgery: a bibliometric analysis.

Int J Surg. 2023-12-1

[4]
Correction: Research trends of targeted therapy for cholangiocarcinoma from 2003 to 2022: a bibliometric and visual analysis.

Clin Exp Med. 2023-12

[5]
HSPB1 facilitates chemoresistance through inhibiting ferroptotic cancer cell death and regulating NF-κB signaling pathway in breast cancer.

Cell Death Dis. 2023-7-15

[6]
Worldwide productivity and research trend of publications concerning tumor immune microenvironment (TIME): a bibliometric study.

Eur J Med Res. 2023-7-10

[7]
Identification of co-regulated genes associated with doxorubicin resistance in the MCF-7/ADR cancer cell line.

Front Oncol. 2023-6-15

[8]
Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis.

J Med Internet Res. 2023-6-23

[9]
Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis.

Eur Radiol. 2023-11

[10]
Evolutionary patterns and research frontiers in neoadjuvant immunotherapy: a bibliometric analysis.

Int J Surg. 2023-9-1

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

推荐工具

医学文档翻译智能文献检索