Cargando…
Identification of potential oncogenes in triple-negative breast cancer based on bioinformatics analyses
Triple-negative breast cancer (TNBC) is a subtype with high rates of metastasis, poor prognosis and limited therapeutic options. The present study aimed to identify the potential pivotal genes for prognosis and treatment in TNBC. A total of two microarray expression datasets, GSE38959 and GSE65212,...
Autores principales: | Xiao, Xiao, Zhang, Zheng, Luo, Ruihan, Peng, Rui, Sun, Yan, Wang, Jia, Chen, Xin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967975/ https://www.ncbi.nlm.nih.gov/pubmed/33747220 http://dx.doi.org/10.3892/ol.2021.12624 |
Ejemplares similares
-
Identification of ribosomal protein family in triple-negative breast cancer by bioinformatics analysis
por: Lin, Ziyue, et al.
Publicado: (2021) -
Bioinformatics analysis of key genes in triple negative breast cancer and validation of oncogene PLK1
por: Ren, Yi, et al.
Publicado: (2020) -
Identification of potential core genes in triple negative breast cancer using bioinformatics analysis
por: Li, Man-Xiu, et al.
Publicado: (2018) -
Identification of Key Genes and Pathways in Triple-Negative Breast Cancer by Integrated Bioinformatics Analysis
por: Dong, Pengzhi, et al.
Publicado: (2018) -
ZHX2 promotes HIF1α oncogenic signaling in triple-negative breast cancer
por: Fang, Wentong, et al.
Publicado: (2021)