- Hubei University of Chinese Medicine Affiliated Gong’an Hospital of Traditional Chinese Medicine, Jingzhou, China
1 Introduction
In recent years, the exponential growth of biomedical literature has led to increasing recognition of bibliometrics as a robust method for quantitatively and qualitatively assessing research trends and emerging hotspots within specific scientific domains. We read with great interest the article by Tao Wu et al. (1), titled “Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005–2024),” published in Frontiers in Oncology. We commend the authors for their rigorous work and acknowledge their valuable contributions to advancing scholarship in this field.
2 Commentary and discussion
By using three bibliometric tools (VOSviewer, R-bibliometrix, and CiteSpace), this study conducted an in-depth analysis of the dynamic evolution of breast cancer organoid research over the past two decades. The finding provided a thorough summary of the major achievements, persistent challenges, and future frontiers within this rapidly advancing field. Key achievements encompass the successful implementation of patient-derived organoids (PDOs) for personalized drug testing and disease modeling, significant progress in recapitulating the tumor microenvironment and immune interactions, and the integration of innovative 3D bioprinting and engineering approaches. However, we identified several points requiring clarification and correction.
First, regarding the Countries/regions and institutions analysis section: The text states: “the United States (666), China (257), India (106), the United Kingdom (105), and Germany (101) contributed the most.” However, the data presented in Table 1 clearly indicate that Italy has 106 publications, not India. Consequently, the subsequent statement, “the United Kingdom, Germany, and the United States have higher citation rates than China and India,” should also be corrected by replacing “India” with “Italy.” Additionally, the text interprets Figure 3A as “a VOSviewer chart of institutional collaboration, American institutions, centered on Harvard University, work more closely together…” A review of Figure 3A indicates it is unambiguously a journal co-occurrence network map, not an institutional collaboration map. Therefore, the analysis pertaining to institutional collaboration is misplaced, and Figure 3A should be replaced with the correct institutional collaboration network diagram to support the textual argument.
Second, regarding the Journal analysis section: The text claims: “8 journals had impact factors (IF) of more than 1.5.” This is inconsistent with the data provided in Table 4 (“The top 10 journals in terms of publication volume, correlation strength, and citation times”), which shows that all 10 listed journals have impact factors exceeding 1.5, and 8 of them have impact factors greater than 3. The stated sentence requires correction to accurately reflect the data in the corresponding table. Authors can choose between two statements: “8 journals have an impact factor exceeding 3” or “all 10 listed journals have an impact factor exceeding 1.5.”
Third, regarding the Keyword analysis section: The text describes Figure 8B as a keyword cluster map generated by CiteSpace: “we use CiteSpace to group keywords into different clusters… (Figure 8B).” However, Figure 82B appears to be identical to Figure 6B (“Cluster view of breast cancer organoids co-cited literature”). As this figure does not represent a keyword cluster analysis, it is unsuitable for this section. Figure 8B should be replaced with the correct keyword clustering network map to substantiate the analysis of thematic evolution and research directions.
Author contributions
XL: Conceptualization, Supervision, Writing – original draft, Writing – review & editing. ZZ: Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing. HZ: Conceptualization, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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The author(s) declared that generative AI was not used in the creation of this manuscript.
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Reference
Keywords: 3Dbioprinting, bibliometrics, breast cancer, drug discovery, organoids, research hotspots, tumor microenvironment
Citation: Luo X, Zhang Z and Zhao H (2026) Commentary: Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005–2024). Front. Oncol. 15:1728125. doi: 10.3389/fonc.2025.1728125
Received: 19 October 2025; Accepted: 19 December 2025; Revised: 16 December 2025;
Published: 06 February 2026.
Edited by:
Eleonore Fröhlich, Medical University of Graz, AustriaReviewed by:
Ervin Ç. Mingomataj, Mother Theresa School of Medicine, AlbaniaBenyamin Parseh, Tehran University of Medical Sciences, Iran
Copyright © 2026 Luo, Zhang and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Hua Zhao, MTUwMTI4Mjk5MEBxcS5jb20=
†These authors have contributed equally to this work and share first authorship
Xianlin Luo†