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SYSTEMATIC REVIEW article

Front. Med.

Sec. Precision Medicine

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1619607

Bone Metastasis and Pain Research Through the Dual Lens of Bibliometrics and Bioinformatics: Knowledge Structure, Frontiers, and Core Pathway Analysis (2015-2024)

Provisionally accepted
Linghan  MengLinghan Meng1,2Jingna  TaoJingna Tao1,3Guangda  ZhengGuangda Zheng2Juanxia  RenJuanxia Ren4Lu  ShangLu Shang4Dongtao  LiDongtao Li2Haixiao  LiuHaixiao Liu2Yanju  BaoYanju Bao2*Baojin  HuaBaojin Hua2*
  • 1Beijing University of Chinese Medicine, Beijing, China
  • 2Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
  • 3Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
  • 4Liaoning University of Traditional Chinese Medicine, Shenyang, China

The final, formatted version of the article will be published soon.

Background: Cancer-induced bone pain (CIBP) represents a formidable clinical challenge with complex mechanisms, and existing treatments remain unable to effectively control pain in many patients. This study combined bibliometric and bioinformatic approaches to delineate key research trends, principal themes and future directions in the field of bone metastasis and pain research over the past decade (2015-2024). Methods: We selected 1,822 relevant documents from the Web of Science Core Collection for bibliometric analysis to identify major research characteristics, collaboration networks and emerging trends. Additionally, we employed bioinformatic methods to screen core genes associated with both bone metastasis and cancer pain, and analysed their functions and signalling pathways. Results: Research output and academic influence demonstrated an upward trajectory, with the United States and China being the countries with the highest publication volumes. Research hotspots are shifting from traditional palliative treatments towards precision therapies, with stereotactic body radiotherapy, minimally invasive ablation techniques and neuropathic pain mechanisms representing major research frontiers. Bioinformatic analysis identified core hub genes such as TP53 and EGFR, and revealed significant enrichment of signalling pathways including PI3K-Akt, MAPK and TNF in the common pathological processes of bone metastasis and pain. Conclusions: This study, for the first time combining both methodologies, revealed the field's evolution from traditional treatments towards precision interventions and mechanistic exploration. The molecular targets and signalling pathways we identified provide promising directions for developing novel therapies capable of simultaneously controlling tumour progression and alleviating pain.

Keywords: bone metastasis, Cancer-induced bone pain, Bibliometrics, bioinformatics, 39

Received: 14 May 2025; Accepted: 25 Jul 2025.

Copyright: © 2025 Meng, Tao, Zheng, Ren, Shang, Li, Liu, Bao and Hua. 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) or licensor 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:
Yanju Bao, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
Baojin Hua, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China

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