Identification of hub genes in triple-negative breast cancer by integrated bioinformatics analysis
| Autor: | Xin-Shuai Wang, Xinyang Li, Jia-Hao Fan, Ge Yao, Yukun Wang, Limin Wei, Ziming Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
False discovery rate Cyclin-dependent kinase 1 Mechanism (biology) business.industry Computational biology medicine.disease_cause Extracellular matrix structural constituent Fold change 03 medical and health sciences 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis medicine Original Article Surgery Carcinogenesis business Gene Triple-negative breast cancer |
| Zdroj: | Gland Surg |
| ISSN: | 2227-8575 2227-684X |
| DOI: | 10.21037/gs-21-17 |
| Popis: | BACKGROUND: Triple negative breast cancer (TNBC) is usually aggressive and accompanied by a poor prognosis. The molecular biological mechanism of TNBC pathogenesis is still unclear, and requires more detailed research. The aim of this study was to screen and verify potential biomarkers of TNBC, and provide new clues for the treatment and diagnosis of TNBC. METHODS: In this work, GSE76250 was downloaded from the Gene Expression Omnibus (GEO) database and included 165 TNBC samples and 33 paired normal breast tissues. The R software and its related software package were used for data processing and analysis. Compared with normal tissues, genes with a false discovery rate (FDR) |
| Databáze: | OpenAIRE |
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