ArticleIET systems biology2014
Construction and investigation of breast-cancer-specific ceRNA network based on the mRNA and miRNA expression data.
Article in IET systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Meta-signature LncRNAs serve as novel biomarkers for colorectal cancer: integrated bioinformatics analysis, experimental validation and diagnostic evaluation.Scientific reports · 2017Trial
- LINC00313 promotes the aggressiveness and tumorigenesis of cholangiocarcinoma through targeting miR-320b and MITF.Discover oncology · 2025Article
- Exploring Breast Cancer-Associated Genes: A Comprehensive Analysis and Competitive Endogenous RNA Network Construction.Archives of Razi Institute · 2025Article
- Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025Review
- IMI-driver: Integrating multi-level gene networks and multi-omics for cancer driver gene identification.PLoS computational biology · 2024Article
- RNA atlas and competing endogenous RNA regulation in tissue-derived exosomes from luminal B and triple-negative breast cancer patients.Frontiers in oncology · 2023Article
- LncRNACancers · 2022Article
- The association of long non-coding RNA in the prognosis of oral squamous cell carcinoma.Genes & genomics · 2022Review
- The Predictive Competing Endogenous RNA Regulatory Networks and Potential Prognostic and Immunological Roles of Cyclin A2 in Pan-Cancer Analysis.Frontiers in molecular biosciences · 2022Article
- Bioinformatics Methods for Modeling microRNA Regulatory Networks in Cancer.Advances in experimental medicine and biology · 2022Article
- Editorial: Computational Identification of ceRNA Regulation.Frontiers in molecular biosciences · 2022Article
- Prognostic Implications and Immune Infiltration Characteristics of Chromosomal Instability-Related Dysregulated CeRNA in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2022Article
- Clinicopathological-Associated Regulatory Network of Deregulated circRNAs in Hepatocellular Carcinoma.Cancers · 2021Article
- Novel long noncoding RNA (lncRNA) panel as biomarkers for prognosis in lung squamous cell carcinoma via competitive endogenous RNA (ceRNA) network analysis.Translational cancer research · 2021Article
- Illuminating lncRNA Function Through Target Prediction.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Long non-coding RNA ADAMTS9-AS1 suppresses colorectal cancer by inhibiting the Wnt/β-catenin signalling pathway and is a potential diagnostic biomarker.Journal of cellular and molecular medicine · 2020Article
- Identification of specific microRNA-messenger RNA regulation pairs in four subtypes of breast cancer.IET systems biology · 2020Article
- Construction of a Competitive Endogenous RNA Network for Pancreatic Adenocarcinoma Based on Weighted Gene Co-expression Network Analysis and a Prognosis Model.Frontiers in bioengineering and biotechnology · 2020Article
- LAceModule: Identification of Competing Endogenous RNA Modules by Integrating Dynamic Correlation.Frontiers in genetics · 2020Article
- Comprehensive analysis of competing endogenous RNA networks associated with cholangiocarcinoma.Experimental and therapeutic medicine · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been proved and widely acknowledged that messenger RNAs can talk to each other by competing for a limited pool of miRNAs. The competing endogenous RNAs are called as ceRNAs. Although some researchers have recently used ceRNAs to do biological function annotations, few of them have investigated the ceRNA network on specific disease systematically. In this work, using both miRNA expression data and mRNA expression data of breast cancer patient as well as the miRNA target relations, the authors proposed a computational method to construct a breast-cancer-specific ceRNA network by checking whether the shared miRNA sponges between the gene pairs are significant. The ceRNA network is shown to be scale-free, thus the topological characters such as hub nodes and communities may provide important clues for the biological mechanism. Through investigation on the communities (the dense clusters) in the network, it was found that they are related to cancer hallmarks. In addition, through function annotation of the hub genes in the network, it was found that they are related to breast cancer. Moreover, classifiers based on the discriminative hubs can significantly distinguish breast cancer patients' risks of distant metastasis in all the three independent data sets.
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