ArticleBioMed research international2015
Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- MicroRNA signatures differentiate types, grades, and stages of breast invasive ductal carcinoma (IDC): miRNA-target interacting signaling pathways.Cell communication and signaling : CCS · 2024Article
- QNBC Is Associated with High Genomic Instability Characterized by Copy Number Alterations and miRNA Deregulation.International journal of molecular sciences · 2021Article
- Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles.Medicina (Kaunas, Lithuania) · 2021Article
- Screening of miRNAs associated with lymph node metastasis in Her-2-positive breast cancer and their relationship with prognosis.Journal of Zhejiang University. Science. B · 2020Article
- MiRNAs as Novel Adipokines: Obesity-Related Circulating MiRNAs Influence Chemosensitivity in Cancer Patients.Non-coding RNA · 2020Review
- Perspectives on the Role of Histone Modification in Breast Cancer Progression and the Advanced Technological Tools to Study Epigenetic Determinants of Metastasis.Frontiers in genetics · 2020Review
- The role of dietary phytochemicals in the carcinogenesis via the modulation of miRNA expression.Journal of cancer research and clinical oncology · 2019Review
- Identification of Breast Cancer Subtype Specific MicroRNAs Using Survival Analysis to Find Their Role in Transcriptomic Regulation.Frontiers in genetics · 2019Article
- The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.Molecules (Basel, Switzerland) · 2018Article
- Robust Significance Analysis of Microarrays by MinimumBioMed research international · 2017Article
- Differentially expressed miRNAs in triple negative breast cancer between African-American and non-Hispanic white women.Oncotarget · 2016Article
- Identifying significant microRNA-mRNA pairs associated with breast cancer subtypes.Molecular biology reports · 2016Article
- Discovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational Methods.Cancer informatics · 2016Review
- MiR-190b, the highest up-regulated miRNA in ERα-positive compared to ERα-negative breast tumors, a new biomarker in breast cancers?BMC cancer · 2015Article
- Identification of Gene Expression Pattern Related to Breast Cancer Survival Using Integrated TCGA Datasets and Genomic Tools.BioMed research international · 2015Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is a heterogeneous disease with well-defined molecular subtypes. Currently, comparative genomic hybridization arrays (aCGH) techniques have been developed rapidly, and recent evidences in studies of breast cancer suggest that tumors within gene expression subtypes share similar DNA copy number aberrations (CNA) which can be used to further subdivide subtypes. Moreover, subtype-specific miRNA expression profiles are also proposed as novel signatures for breast cancer classification. The identification of mRNA or miRNA expression-based breast cancer subtypes is considered an instructive means of prognosis. Here, we conducted an integrated analysis based on copy number aberrations data and miRNA-mRNA dual expression profiling data to identify breast cancer subtype-specific biomarkers. Interestingly, we found a group of genes residing in subtype-specific CNA regions that also display the corresponding changes in mRNAs levels and their target miRNAs' expression. Among them, the predicted direct correlation of BRCA1-miR-143-miR-145 pairs was selected for experimental validation. The study results indicated that BRCA1 positively regulates miR-143-miR-145 expression and miR-143-miR-145 can serve as promising novel biomarkers for breast cancer subtyping. In our integrated genomics analysis and experimental validation, a new frame to predict candidate biomarkers of breast cancer subtype is provided and offers assistance in order to understand the potential disease etiology of the breast cancer subtypes.
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