ArticleClinical & experimental metastasis2020
Causal Bayesian gene networks associated with bone, brain and lung metastasis of breast cancer.
Article in Clinical & experimental metastasis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 33 citations in OpenAlex.
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- Identification of Chondroitin Polymerizing Factor as a Biomarker for Colorectal Cancer by the Human Villi Development Model.Cancer innovation · 2025Article
- Identification of Bone Metastasis-Related Gene Networks in Lung Cancer: Implications for Bone Metabolism.Journal of bone metabolism · 2025Article
- Chondroitin polymerizing factor predicts a poor prognosis and promotes breast cancer progression via the upstream TGF-β1/SMAD3 and JNK axis activation.Journal of cell communication and signaling · 2023Article
- Integration of artificial intelligence in lung cancer: Rise of the machine.Cell reports. Medicine · 2023Review
- Computational Tactics for Precision Cancer Network Biology.International journal of molecular sciences · 2022Review
- Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review.Translational cancer research · 2022Review
- Newly Released Advances in the Molecular Mechanisms of Osseous Metastasis and Potential Therapeutic Strategies.The archives of bone and joint surgery · 2022Review
- Integrated analysis to reveal potential therapeutic targets and prognostic biomarkers of skin cutaneous melanoma.Frontiers in immunology · 2022Article
- Efficacy Evaluation of Zoledronic Acid Combined with Chemotherapy in the Treatment of Lung Cancer Spinal Metastases on Computed Tomography Images on Intelligent Algorithms.Computational and mathematical methods in medicine · 2022Article
- Association of a Novel DOCK2 Mutation-Related Gene Signature With Immune in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Transcriptomic Profiling Reveals Novel Candidate Genes and Signalling Programs in Breast Cancer Quiescence and Dormancy.Cancers · 2021Article
- Extracellular Vesicles in Tumors: A Potential Mediator of Bone Metastasis.Frontiers in cell and developmental biology · 2021Review
- Integrative Analysis of DNA Methylation and Gene Expression Profiling Data Reveals Candidate Methylation-Regulated Genes in Hepatoblastoma.International journal of general medicine · 2021Article
- Hey1 promotes migration and invasion of melanoma cells via GRB2/PI3K/AKT signaling cascade.Journal of Cancer · 2021Article
- Signature Panel of 11 Methylated mRNAs and 3 Methylated lncRNAs for Prediction of Recurrence-Free Survival in Prostate Cancer Patients.Pharmacogenomics and personalized medicine · 2021Article
- Development of an Immune-Related LncRNA Prognostic Signature for Glioma.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using a machine learning method, this study aimed to identify unique causal networks of genes associated with bone, brain, and lung metastasis of breast cancer. Bayesian network analysis identified differentially expressed genes in primary breast cancer tissues, in bone, brain, and lung breast cancer metastatic tissues, and the clinicopathological features of patients obtained from the Gene Expression Omnibus microarray datasets. We evaluated the causal Bayesian networks of breast metastasis to distant sites (bone, brain, or lung) by (i) measuring how well the structures of each specific type of breast cancer metastasis fit the data, (ii) comparing the structures with known experimental evidence, and (iii) reporting predictive capabilities of the structures. We report for the first time that the molecular gene signatures are specific to the different types of breast cancer metastasis. Several genes, including CHPF, ARC, ANGPTL4, NR2E1, SH2D1A, CTSW, POLR2J4, SPTLC1, ILK, ALDH3B1, PDE6A, SCTR, ADM, HEY1, KCNF1, and UVRAG, were found to be predictors of the risk for site-specific metastasis of breast cancer. Expression of POLR2JA, SPTLC1, ILK, ALDH3B1, and the estrogen receptor was significantly associated with breast cancer bone metastasis. Expression of PDE6A and NR2E1 was causally linked to breast cancer brain metastasis. Expression of HEY1, KCNF1, UVRAG, and the estrogen and progesterone receptors was strongly associated with breast cancer lung metastasis. The causal Bayesian network structures of these genes identify potential interactions among the genes in distant metastases of breast cancer, including to the bone, brain, and lung, and may serve as target candidates for treatment of breast cancer metastasis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.