ArticleScientific reports2017
Network analysis of EMT and MET micro-RNA regulation in breast cancer.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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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.
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Who cites it
29 citing papers in PubMed, 48 citations in OpenAlex.
- A supervised Bayesian factor model for the identification of multi-omics signatures.Bioinformatics (Oxford, England) · 2024Article
- Methods for multi-omic data integration in cancer research.Frontiers in genetics · 2024Review
- Coordinated inflammation and immune response transcriptional regulation in breast cancer molecular subtypes.Frontiers in immunology · 2024Article
- Functional impact of multi-omic interactions in lung cancer.Frontiers in genetics · 2024Article
- The Role of Transcription Factors in the Loss of Inter-Chromosomal Co-Expression for Breast Cancer Subtypes.International journal of molecular sciences · 2023Article
- The network structure of hematopoietic cancers.Scientific reports · 2023Article
- Pseudogenes in Cancer: State of the Art.Cancers · 2023Review
- Methylation-related genes involved in renal carcinoma progression.Frontiers in genetics · 2023Article
- Molecular mechanisms of multi-omic regulation in breast cancer.Frontiers in oncology · 2023Review
- The Breast Cancer Protein Co-Expression Landscape.Cancers · 2022Article
- Article
- Functional impact of multi-omic interactions in breast cancer subtypes.Frontiers in genetics · 2022Article
- Oncogenic Role of miR-217 During Clear Cell Renal Carcinoma Progression.Frontiers in oncology · 2022Article
- Highly connected, non-redundant microRNA functional control in breast cancer molecular subtypes.Interface focus · 2021Article
- Luminal A Breast Cancer Co-expression Network: Structural and Functional Alterations.Frontiers in genetics · 2021Article
- Modularity in Biological Networks.Frontiers in genetics · 2021Review
- An Information Theoretical Multilayer Network Approach to Breast Cancer Transcriptional Regulation.Frontiers in genetics · 2021Article
- Loss of Long Distance Co-Expression in Lung Cancer.Frontiers in genetics · 2021Article
- microRNAs Orchestrate Pathophysiology of Breast Cancer Brain Metastasis: Advances in Therapy.Molecular cancer · 2020Review
- Gene Expression and Co-expression Networks Are Strongly Altered Through Stages in Clear Cell Renal Carcinoma.Frontiers in genetics · 2020Article
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
Over the last years, microRNAs (miRs) have shown to be crucial for breast tumour establishment and progression. To understand the influence that miRs have over transcriptional regulation in breast cancer, we constructed mutual information networks from 86 TCGA matched breast invasive carcinoma and control tissue RNA-Seq and miRNA-Seq sequencing data. We show that miRs are determinant for tumour and control data network structure. In tumour data network, miR-200, miR-199 and neighbour miRs seem to cooperate on the regulation of the acquisition of epithelial and mesenchymal traits by the biological processes: Epithelial-Mesenchymal Transition (EMT) and Mesenchymal to Epithelial Transition (MET). Despite structural differences between tumour and control networks, we found a conserved set of associations between miR-200 family members and genes such as VIM, ZEB-1/2 and TWIST-1/2. Further, a large number of miRs observed in tumour network mapped to a specific chromosomal location in DLK1-DIO3 (Chr14q32); some of those miRs have also been associated with EMT and MET regulation. Pathways related to EMT and TGF-beta reinforce the relevance of miR-200, miR-199 and DLK1-DIO3 cluster in breast cancer. With this approach, we stress that miR inclusion in gene regulatory network construction improves our understanding of the regulatory mechanisms underlying breast cancer biology.
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