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. 2026 Feb 6;15:1728125. doi: 10.3389/fonc.2025.1728125

Commentary: Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005–2024)

Xianlin Luo 1,†, Zaixiang Zhang 1,†, Hua Zhao 1,*
PMCID: PMC12920173  PMID: 41726367

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.

Table 1.

Top 10 producing countries related to breast cancer organoids.

graphic file with name fonc-15-1728125-i001.jpg

Figure 3.

Network visualization graphic showing interconnected nodes representing scientific journals, with larger nodes such as “cancer research,” “international journal of molecular sciences,” and “scientific reports” indicating higher connectivity. Colored lines illustrate citation or collaboration relationships among journals.

Institutional cooperation diagram based on VOSviewer.

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.”

Table 4.

Top 10 producing countries related to breast cancer organoids.

graphic file with name fonc-15-1728125-i002.jpg

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.

Figure 6.

Cluster map graphic displaying eight colored groups labeled as research topics: current status, tissue engineering, 3D breast cancer model, 3D culture, current landscape, organoid technology, translational studies, and mammary tumor organoid, with a color-coded legend indicating cluster identification.

Cluster view of breast cancer organoids co-cited literature.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Eleonore Fröhlich, Medical University of Graz, Austria

Reviewed by: Ervin Ç. Mingomataj, Mother Theresa School of Medicine, Albania

Benyamin Parseh, Tehran University of Medical Sciences, Iran

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.

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.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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Reference

  • 1. Wu T, Li BX, Lei H, Zhao FX, Liu Z. Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024). Front Oncol. (2025) 15:1604362. doi:  10.3389/fonc.2025.1604362, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]

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