Bibliometric insights into breast cancer organoid chips: trends and emerging areas

Abstract

Breast cancer organoid microarray technology, as an emerging research tool, has been used to construct breast cancer organoid models with physiological functions in vitro by simulating the tumor microenvironment, providing powerful support for in-depth understanding of breast cancer pathogenesis, drug screening, personalized treatment, and prognosis assessment. The aim of this study is to delve into the research hotspots and prospective directions of breast cancer organoid microarrays, and to better understand the opportunities in the research hotspot areas. The Web of Science Core Collection database was used to search for articles published on the combination of organoid and microarray research in breast cancer, using bibliometric methods to analyze authors, research institutions, countries, journals, references, and visualized by CiteSpace and VOSviewer. A total of 151 documents were included in this study, revealing a steady annual increase in publications with country, China publishing the most articles with the highest citation (1667). Fudan University, Sun Yat-Sen University, and China Medical University contributed the most research with five articles published. Nanyang Technological University and the Massachusetts Institute of Technology are the institutions with the highest connection strength, indicating that their cooperation and communication in this field play an important role. Over the past decade, the focus of breast cancer research has shifted from the optimization and standardization of organoid culture models to the simulation of the tumor microenvironment and the establishment of disease models. Subsequent research trends include improving the pathological representativeness of the models, drug screening and personalized therapy. This study provides an objective and comprehensive analytical perspective on the research prospects of breast cancer organoids, pointing out the way for future research.

Keywords: CiteSpace; VOSviewer; bibliometrics; breast cancer organoids; development trend; organoid chip.