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

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...

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Bibliographic Details
Published inOncology reports Vol. 38; no. 4; pp. 2219 - 2228
Main Authors Guo, Jilong, Gong, Guohua, Zhang, Bin
Format Journal Article
LanguageEnglish
Published Greece Spandidos Publications UK Ltd 01.10.2017
Subjects
Annotations
Biomarkers
Biomarkers, Tumor - genetics
Breast cancer
Cancer therapies
Datasets
Dehydrogenases
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic - genetics
Humans
Low density lipoprotein receptors
Lymphatic system
Medical prognosis
Medical screening
Metastasis
Microarray Analysis
Neoplasm Proteins - genetics
Prognosis
Prostate cancer
Proteins
Software
Studies
Survival analysis
Triple Negative Breast Neoplasms - genetics
Triple Negative Breast Neoplasms - pathology
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Summary: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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ISSN:1021-335X
1791-2431
DOI:10.3892/or.2017.5911