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Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer

  • Authors:
    • Huiru Zhu
    • Meiyu Dai
    • Xiaoli Chen
    • Xiang Chen
    • Shini Qin
    • Shengming Dai
  • View Affiliations / Copyright

    Affiliations: Department of Galactophore, The Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou, Guangxi 545001, P.R. China, Department of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China
    Copyright: © Zhu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1139-1146
    |
    Published online on: June 9, 2017
       https://doi.org/10.3892/mmr.2017.6750
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Abstract

Triple negative breast cancer (TNBC) is a type of breast cancer where the tumor cells are negative for the estrogen, progesterone and human epidermal growth factor 2 receptors. To date, expression profiling of microRNA (miRNA/miR) and mRNA sequences have been widely applied for the diagnosis of TNBC. In the present study, an integrated analysis of miRNA‑mRNA profiling arrays was performed. A total of five dysregulated miRNAs in patients with TNBC were identified, including upregulated miR‑558 expression and downregulated miR‑320d‑1, miR‑548v, miR‑99a and miR‑21 expression. In addition, 49 potential target mRNA sequences were identified. Bioinformatics analyses were performed on the identified miRNAs and mRNAs, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway and miRNA‑mRNA network analyses. A total of 31 GO terms and three signaling pathways were identified. The results indicated that the differentially expressed miRNAs and their potential target mRNAs may affect the pathogenesis of TNBC, and may therefore be considered as promising biomarkers for the early diagnosis and targeted therapy of patients with TNBC.
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Copy and paste a formatted citation
Spandidos Publications style
Zhu H, Dai M, Chen X, Chen X, Qin S and Dai S: Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer. Mol Med Rep 16: 1139-1146, 2017.
APA
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., & Dai, S. (2017). Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer. Molecular Medicine Reports, 16, 1139-1146. https://doi.org/10.3892/mmr.2017.6750
MLA
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., Dai, S."Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer". Molecular Medicine Reports 16.2 (2017): 1139-1146.
Chicago
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., Dai, S."Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer". Molecular Medicine Reports 16, no. 2 (2017): 1139-1146. https://doi.org/10.3892/mmr.2017.6750
Copy and paste a formatted citation
x
Spandidos Publications style
Zhu H, Dai M, Chen X, Chen X, Qin S and Dai S: Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer. Mol Med Rep 16: 1139-1146, 2017.
APA
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., & Dai, S. (2017). Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer. Molecular Medicine Reports, 16, 1139-1146. https://doi.org/10.3892/mmr.2017.6750
MLA
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., Dai, S."Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer". Molecular Medicine Reports 16.2 (2017): 1139-1146.
Chicago
Zhu, H., Dai, M., Chen, X., Chen, X., Qin, S., Dai, S."Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer". Molecular Medicine Reports 16, no. 2 (2017): 1139-1146. https://doi.org/10.3892/mmr.2017.6750
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