Zhang Hao, Feng Ting, Lin Juntang, Yahaya Badrul Hisham
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.
Discov Oncol. 2025 Sep 3;16(1):1676. doi: 10.1007/s12672-025-03542-8.
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.
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。
Front Oncol. 2025-6-30
J Med Internet Res. 2023-6-23