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Background <p>Breast cancer bone metastasis (BCBM) is a prevalent complication with significant impact on patient survival and quality of life. Understanding the research landscape is crucial for guiding future studies. This bibliometric analysis aims to visualize and analyze global research trends in BCBM from 2009 to 2024.</p> Methods <p>The Web of Science Core Collection (WoSCC) database was searched for relevant literature on BCBM published between 2009 and 2024. CiteSpace and VOSviewer software were utilized to perform visual mapping and analyze contributors, countries/regions, journals, keywords, research hotspots, and frontiers.</p> Results <p>A total of 210 articles met the inclusion criteria. The annual publication output showed a general upward trend. Ottewell, Penelope D published the most papers (12). China (74 articles, 35.24%) and the United States (71 articles, 33.81%) were the leading contributing countries, with no significant difference in output volume (χ² = 0.12, <i>P</i> = 0.729). <i>Cancers</i> was the most prolific journal. Keyword clustering analysis revealed central themes including “breast cancer”, “bone metastasis”, “expression”, “cell”, and “growth”. Burst keyword detection indicated current research hotspots focus on the tumor-bone microenvironment (BMME) and tumor cell-bone cell interactions. Analysis of co-cited references highlighted foundational research on metastatic mechanisms.</p> Conclusion <p>From 2009 to the present, many studies have been conducted in the field of breast cancer bone metastasis, and various results have been achieved. Currently, academics are more inclined to explore the specific mechanism from the perspective of molecular biology, and use it to develop corresponding targeted drugs for clinical practice, future research should prioritize microenvironmental crosstalk and AI-driven predictive models to accelerate therapeutic breakthroughs.</p>

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Global trends in breast cancer bone metastasis research (2009–2024): a bibliometric and visual analysis of hotspots and future directions

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月2日

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  • Zhichao Wang,
  • Yin Zuo,
  • Xinyu Chen,
  • Yongchun Pan,
  • Zhicheng He,
  • Songrui Xu,
  • Yuan Li,
  • Pengcui Li,
  • Xiaochun Wei,
  • Yunfeng Xu,
  • Yi Feng,
  • Zhi Tian

摘要

Background

Breast cancer bone metastasis (BCBM) is a prevalent complication with significant impact on patient survival and quality of life. Understanding the research landscape is crucial for guiding future studies. This bibliometric analysis aims to visualize and analyze global research trends in BCBM from 2009 to 2024.

Methods

The Web of Science Core Collection (WoSCC) database was searched for relevant literature on BCBM published between 2009 and 2024. CiteSpace and VOSviewer software were utilized to perform visual mapping and analyze contributors, countries/regions, journals, keywords, research hotspots, and frontiers.

Results

A total of 210 articles met the inclusion criteria. The annual publication output showed a general upward trend. Ottewell, Penelope D published the most papers (12). China (74 articles, 35.24%) and the United States (71 articles, 33.81%) were the leading contributing countries, with no significant difference in output volume (χ² = 0.12, P = 0.729). Cancers was the most prolific journal. Keyword clustering analysis revealed central themes including “breast cancer”, “bone metastasis”, “expression”, “cell”, and “growth”. Burst keyword detection indicated current research hotspots focus on the tumor-bone microenvironment (BMME) and tumor cell-bone cell interactions. Analysis of co-cited references highlighted foundational research on metastatic mechanisms.

Conclusion

From 2009 to the present, many studies have been conducted in the field of breast cancer bone metastasis, and various results have been achieved. Currently, academics are more inclined to explore the specific mechanism from the perspective of molecular biology, and use it to develop corresponding targeted drugs for clinical practice, future research should prioritize microenvironmental crosstalk and AI-driven predictive models to accelerate therapeutic breakthroughs.