ArticleGenes2019
Prediction of Bone Metastasis in Breast Cancer Based on Minimal Driver Gene Set in Gene Dependency Network.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Predictive and prognostic biomarkers of bone metastasis in breast cancer: current status and future directions.Cell & bioscience · 2023Review
- XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer.Journal of translational medicine · 2022Article
- Identification of hub genes for early detection of bone metastasis in breast cancer.Frontiers in endocrinology · 2022Article
- A Panel of E2F Target Gene Signature Predicting the Prognosis of Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Immune-related genes and gene sets for predicting the response to anti-programmed death 1 therapy in patients with primary or metastatic non-small cell lung cancer.Oncology letters · 2021Article
- FDG-PET/CT for Response Monitoring in Metastatic Breast Cancer: The Feasibility and Benefits of Applying PERCIST.Diagnostics (Basel, Switzerland) · 2021Article
- Real-life prognosis of 5041 bone-only metastatic breast cancer patients in the multicenter national observational ESME program.Therapeutic advances in medical oncology · 2021Article
- ceRNA network development and tumour-infiltrating immune cell analysis of metastatic breast cancer to bone.Journal of bone oncology · 2020Article
- Current and Emerging Biomarkers Predicting Bone Metastasis Development.Frontiers in oncology · 2020Review
- Innovative Options for Bone Metastasis Treatment: An Extensive Analysis on Biomaterials-Based Strategies for Orthopedic Surgeons.Frontiers in bioengineering and biotechnology · 2020Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bone is the most frequent organ for breast cancer metastasis, and thus it is essential to predict the bone metastasis of breast cancer. In our work, we constructed a gene dependency network based on the hypothesis that the relation between one gene and the risk of bone metastasis might be affected by another gene. Then, based on the structure controllability theory, we mined the driver gene set which can control the whole network in the gene dependency network, and the signature genes were selected from them. Survival analysis showed that the signature could distinguish the bone metastasis risks of cancer patients in the test data set and independent data set. Besides, we used the signature genes to construct a centroid classifier. The results showed that our method is effective and performed better than published methods.
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Registered trials
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.