ArticleTranslational cancer research2020
Nomogram for predicting the risk of bone metastasis in breast cancer: a SEER population-based study.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 15 citations in OpenAlex.
- Metastatic presentation of breast cancer in India: evidence from national cancer registry (2009-2020).The Lancet regional health. Southeast Asia · 2026Article
- Independent Risk Factors and a New Nomogram for Predicting Breast Cancer Risk for Bone Metastasis in Chinese Women: A Retrospective Study with External Validation.Journal of clinical medicine · 2026Article
- Prognostic model for pulmonary metastasis in patients with HER2-positive breast cancer: a population-based study.Breast cancer (Tokyo, Japan) · 2026Article
- Significant association of RANKL polymorphisms with bone metastasis among patients with breast cancer.Frontiers in oncology · 2026Article
- Development and validation of an interpretable machine learning-based predictive model for breast cancer bone metastasis.Frontiers in oncology · 2026Article
- Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis.Scientific reports · 2025Article
- Development and validation of a nomogram for predicting bone metastasis in breast cancer: a retrospective study.Frontiers in surgery · 2025Article
- Prognostic nomograms for breast cancer with lung metastasis: a SEER-based population study.BMC women's health · 2024Article
- Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.Cancer biomarkers : section A of Disease markers · 2024Article
- Article
- Prediction of bone metastasis risk of early breast cancer based on nomogram of clinicopathological characteristics and hematological parameters.Frontiers in oncology · 2023Article
- Systematic review and meta-analysis of the efficacy of general anesthesia combined with a thoracic nerve block in modified breast cancer surgery.Gland surgery · 2021Article
- Enhancing social support and knowledge perception decreases patient delay in breast cancer.Gland surgery · 2021Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBone is the most common metastasis site of breast cancer. The prognosis of bone metastasis is better than other distant metastases, but patients with skeletal related events (SREs) have a poor quality of life, high healthcare costs and low survival rates. This study aimed to establish an effective nomogram for predicting risk of bone metastasis of breast cancer.
methodsThe nomogram was built on 4,895 adult/female/primary invasive breast cancer patients with complete clinicopathologic information, captured by the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. Five biological factors (age, grade, histologic type, surgery of breast lesions and subtypes) were assessed with logistic regression to predict the risk of bone metastases. The predictive accuracy and discriminative ability of the nomogram were determined by the Receiver Operating Characteristic (ROC) curves and the calibration plot. Results were validated on a separate 2,093 cohort using bootstrap resampling from 2010 to 2015 as an internal group and a retrospective study on 120 patients in the First Affiliated Hospital of China Medical University from 2010 to 2014 at the same situation as an external group.
resultsOn multivariate logistic regression of the primary cohort, independent factors for bone metastases were age, grade, histologic type, surgery of breast lesions and subtypes, which were all selected into the nomogram. The calibration plot for probability of incidence showed good agreement between prediction by nomogram and two observations. The ROC curves presented a good statistical model for risk of bone metastasis, and the corresponding AUC value of the development group, internal validation group and external validation group were 0.678, 0.689 and 0.704 respectively.
conclusionsThe proposed nomogram resulted in more-accurate prognostic prediction for breast cancer patients with bone metastases.
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