Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis

Background Triple-negative breast cancer (TNBC), defined by lack of expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), is characterized by early recurrence of disease and poor survival. Objective Here, we sought to identify genes as...

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Veröffentlicht in:	Breast cancer (Tokyo, Japan) Japan), 2019-11, Vol.26 (6), p.784-791
Hauptverfasser:	Zhai, Qixi, Li, Hao, Sun, Liping, Yuan, Yuan, Wang, Xuemei
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomarkers, Tumor - genetics Breast cancer Cancer Cancer Research Computational Biology - methods Databases, Genetic Development and progression Disease-Free Survival Diseases Down-Regulation - genetics Epidermal growth factor Estrogen Female Gene expression Gene Expression Regulation, Neoplastic Genes Genetic aspects Genomes Genomics Health aspects Humans Kaplan-Meier Estimate Medicine Medicine & Public Health Oncology Original Article Progesterone Prognosis Protein Interaction Maps - genetics Protein-protein interactions Receptor, ErbB-2 - metabolism Receptors, Estrogen - metabolism Receptors, Progesterone - metabolism Relapse Surgery Surgical Oncology Transcriptome Triple Negative Breast Neoplasms - genetics Up-Regulation - genetics
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