SynthesisFrontiers in oncology2025
Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024).
Synthesis in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research trends and hotspots of colorectal cancer organoids: a bibliometric insight and visualization analysis via multiple databases.Frontiers in oncology · 2026Pooled it
- Advantages and research progress of three-dimensional culture systems for lung cancer drug screening (Review).Oncology letters · 2026Review
- 3D Bioprinting for Tumor Microenvironment Reconstruction: Advances, Challenges, and Future Perspectives.Biotechnology journal · 2026Review
- Advances in the Research and Development of Breast Cancer Organoids.Oncology research · 2026Review
- Commentary: Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024).Frontiers in oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Breast cancer is the most common malignancy among women globally. Organoid technology has emerged as a pivotal tool in breast cancer research due to its advantages in modeling tumor heterogeneity and the microenvironment. Despite rapid advancements in this field, a systematic bibliometric analysis to delineate research trends and challenges is lacking. This study aimed to analyze the research landscape, hotspots, and future directions in the field of breast cancer organoids from 2005 to 2024. Methods: Publications related to breast cancer organoids published between January 2005 and March 2024 were retrieved from the Web of Science Core Collection. Bibliometric tools (CiteSpace and VOSviewer) were employed to analyze collaboration networks (countries/institutions), author contributions, keyword co-occurrence clusters, and burst keywords. Results: Over the past two decades, the annual publication output on breast cancer organoids has shown continuous growth. The 1618 included English publications garnered a total of 7,323 citations, with a mean citation count of 35.20 per article. The United States (n=666) and China (n=257) contributed over 50% of the publications. Harvard University was the most productive institution. Mina J. Bissell authored the highest number of publications (n=17). High-frequency keywords centered on personalized therapy, immunotherapy, and 3D bioprinting. Burst keyword analysis identified "gene expression" and "signaling pathways" as emerging trends (2019-2024). Key research hotspots include the application of patient-derived organoids (PDOs) for drug screening, co-culture modeling of the tumor microenvironment (TME) with immune components, and the integration of 3D bioprinting technologies. Conclusion: This study represents the first comprehensive bibliometric analysis to elucidate the evolution and research hotspots in breast cancer organoid research in recent years. The findings provide a thorough summary of the major achievements, persistent challenges, and future frontiers within this rapidly advancing field.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.