Screening and identification of potential biomarkers in triple-negative breast cancer by integrated analysis

  • Authors:
    • Jilong Guo
    • Guohua Gong
    • Bin Zhang
  • View Affiliations

  • Published online on: August 21, 2017     https://doi.org/10.3892/or.2017.5911
  • Pages:2219-2228
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Abstract

Triple-negative breast cancer (TNBC) has attracted great attention due to its unique biology, poor prognosis, and aggressiveness. TNBC patients are more likely to suffer from metastasis. We screened and identified the TNBC-specific genes as potential biomarkers. A total of 167 breast cancer samples (45 TNBC and 122 non-TNBC) were used in the integrated analysis. Gene expression microarrays were used to screen the differentially expressed genes. We identified 65 core DEGs. According to the GO and KEGG analysis, the gene function enrichment in TNBC was revealed, such as basal cell carcinoma, prostate cancer, oocyte meiosis and choline metabolism in cancer pathways. Moreover, the PPI network reconstruction would benefit the screening of hubs. A RFS analysis of TNBC-specific genes was also conducted. RT-PCR was used to validate the expression pattern of hubs in TNBC. Finally, nine genes were identified and all of them were novel, specific and higher dysregulation expressed genes in TNBC. Such that, these genes will serve as potential biomarkers in TNBC and benefit further research in TNBC.

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October 2017
Volume 38 Issue 4

Print ISSN: 1021-335X
Online ISSN:1791-2431

2016 Impact Factor: 2.662
Ranked #31/217 Oncology
(total number of cites)

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APA
Guo, J., Gong, G., & Zhang, B. (2017). Screening and identification of potential biomarkers in triple-negative breast cancer by integrated analysis. Oncology Reports, 38, 2219-2228. https://doi.org/10.3892/or.2017.5911
MLA
Guo, J., Gong, G., Zhang, B."Screening and identification of potential biomarkers in triple-negative breast cancer by integrated analysis". Oncology Reports 38.4 (2017): 2219-2228.
Chicago
Guo, J., Gong, G., Zhang, B."Screening and identification of potential biomarkers in triple-negative breast cancer by integrated analysis". Oncology Reports 38, no. 4 (2017): 2219-2228. https://doi.org/10.3892/or.2017.5911