ArticleBMC cancer2014
A computational model to predict bone metastasis in breast cancer by integrating the dysregulated pathways.
Article in BMC cancer, 2014. 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, 16 citations in OpenAlex.
- Next-generation osteosarcoma models for precision medicine.Communications biology · 2026Review
- Mechanisms of breast cancer dormancy in bone metastasis.Clinical & experimental metastasis · 2026Review
- Mining candidate genes for meat tenderness in Qinchuan cattle based on transcriptome analysis.BMC genomics · 2026Article
- Mechanobiological cues to bone cells during early metastasis drive later osteolysis: A computational mechanoregulation framework prediction.Mechanobiology in medicine · 2025Article
- Are we there yet? A machine learning architecture to predict organotropic metastases.BMC medical genomics · 2021Article
- Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.Frontiers in genetics · 2021Article
- Prediction of Bone Metastasis in Breast Cancer Based on Minimal Driver Gene Set in Gene Dependency Network.Genes · 2019Article
- Identifying cancer prognostic modules by module network analysis.BMC bioinformatics · 2019Article
- The Role of EGFR in Influenza Pathogenicity: Multiple Network-Based Approaches to Identify a Key Regulator of Non-lethal Infections.Frontiers in cell and developmental biology · 2019Article
- Emerging and Established Models of Bone Metastasis.Cancers · 2018Review
- Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic Methods.Technology in cancer research & treatment · 2018Article
- Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma.British journal of cancer · 2015Article
- The Breast Cancer to Bone (B2B) Metastases Research Program: a multi-disciplinary investigation of bone metastases from breast cancer.BMC cancer · 2015Article
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2 authors at 1 institution in 1 country.
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Abstract
backgroundAlthough there are a lot of researches focusing on cancer prognosis or prediction of cancer metastases, it is still a big challenge to predict the risks of cancer metastasizing to a specific organ such as bone. In fact, little work has been published for such a purpose nowadays.
methodsIn this work, we propose a Dysregulated Pathway Based prediction Model (DPBM) built on a merged data set with 855 samples. First, we use bootstrapping strategy to select bone metastasis related genes. Based on the selected genes, we then detect out the dysregulated pathways involved in the process of bone metastasis via enrichment analysis. And then we use the discriminative genes in each dysregulated pathway, called as dysregulated genes, to construct a sub-model to forecast the risk of bone metastasis. Finally we combine all sub-models as an ensemble model (DPBM) to predict the risk of bone metastasis.
resultsWe have validated DPBM on the training, test and independent sets separately, and the results show that DPBM can significantly distinguish the bone metastases risks of patients (with p-values of 3.82E-10, 0.00007 and 0.0003 on three sets respectively). Moreover, the dysregulated genes are generally with higher topological coefficients (degree and betweenness centrality) in the PPI network, which means that they may play critical roles in the biological functions. Further functional analysis of these genes demonstrates that the immune system seems to play an important role in bone-specific metastasis of breast cancer.
conclusionsEach of the dysregulated pathways that are enriched with bone metastasis related genes may uncover one critical aspect of influencing the bone metastasis of breast cancer, thus the ensemble strategy can help to describe the comprehensive view of bone metastasis mechanism. Therefore, the constructed DPBM is robust and able to significantly distinguish the bone metastases risks of patients in both test set and independent set. Moreover, the dysregulated genes in the dysregulated pathways tend to play critical roles in the biological process of bone metastasis of breast cancer.
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