Serum bone metabolism biomarkers in predicting tumor bone metastasis risk and their association with cancer pain: a retrospective study
This study successfully established a nomogram predictive model based on serum bone metabolism biomarkers, with NMID, TPINP, and β-CTX emerging as critical indicators. The correlation between these biomarkers and NRS pain scores offers a novel understanding of the pain mechanisms associated with tumor bone metastasis, providing clinicians with essential reference points for diagnostic and therapeutic decision-making, thereby enhancing the practical application of the model in clinical settings.
Authors
- Yao Wang (ORCID: https://orcid.org/0000-0002-1232-7823)
- Sijia Zhang (ORCID: https://orcid.org/0000-0002-7549-782X)
- Yunqing Xu (ORCID: https://orcid.org/0009-0000-9435-1298)
- Kai Huang (ORCID: https://orcid.org/0000-0002-3725-7753)
- Tian Zhou (ORCID: https://orcid.org/0000-0002-3428-6778)
- Guangqin Xiao
- Quan Tang
Institutions
- Union Hospital (HK)
- Harvard University (US)
- Jianghan University (CN)
- Wuhan University (CN)
- Massachusetts General Hospital (US)
- Aerospace Center Hospital (CN)
- Wuhan No.1 Hospital (CN)
- Hubei Zhongshan Hospital (CN)
- Huazhong University of Science and Technology (CN)
- Saarland University (DE)
Publication Details
- Journal
- Frontiers in Pain Research
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3389/fpain.2025.1514459
- Citations
- 1
- Primary Topic
- Bone health and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.05