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基于文献计量学和生物信息学双视角的骨转移与疼痛研究:知识结构、前沿及核心通路分析(2015 - 2024年)

Bone metastasis and pain research through the dual lens of bibliometrics and bioinformatics: knowledge structure, frontiers, and core pathway analysis (2015-2024).

作者信息

Meng Linghan, Tao Jingna, Zheng Guangda, Ren Juanxia, Shang Lu, Li Dongtao, Liu Haixiao, Bao Yanju, Hua Baojin

机构信息

Beijing University of Chinese Medicine, Beijing, China.

Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

出版信息

Front Med (Lausanne). 2025 Aug 12;12:1619607. doi: 10.3389/fmed.2025.1619607. eCollection 2025.

Abstract

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.

CONCLUSION

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.

摘要

背景

癌症诱导的骨痛(CIBP)是一个机制复杂的严峻临床挑战,现有治疗方法在许多患者中仍无法有效控制疼痛。本研究结合文献计量学和生物信息学方法,描绘了过去十年(2015 - 2024年)骨转移和疼痛研究领域的关键研究趋势、主要主题和未来方向。

方法

我们从科学网核心合集中选取了1822篇相关文献进行文献计量分析,以确定主要研究特征、合作网络和新兴趋势。此外,我们采用生物信息学方法筛选与骨转移和癌痛相关的核心基因,并分析其功能和信号通路。

结果

研究产出和学术影响力呈上升趋势,美国和中国是发表量最高的国家。研究热点正从传统姑息治疗转向精准治疗,立体定向体部放疗、微创消融技术和神经病理性疼痛机制是主要研究前沿。生物信息学分析确定了TP53和EGFR等核心枢纽基因,并揭示了PI3K - Akt、MAPK和TNF等信号通路在骨转移和疼痛的共同病理过程中显著富集。

结论

本研究首次结合两种方法,揭示了该领域从传统治疗向精准干预和机制探索的演变。我们确定的分子靶点和信号通路为开发能够同时控制肿瘤进展和缓解疼痛的新疗法提供了有前景的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1728/12378528/3481b5c024a7/fmed-12-1619607-g001.jpg

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