Cargando…
Identification of a Transcription Factor Signature That Can Predict Breast Cancer Survival
BACKGROUND: The expression pattern of transcription factors (TFs) can be used to develop potential prognostic biomarkers for cancer. In this study, we aimed to identify and validate a TF signature for predicting disease-free survival (DFS) of breast cancer (BRCA) patients. METHODS: Lasso and the Cox...
Autores principales: | Fan, Chunni, Du, Jianshi, Liu, Ning |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914092/ https://www.ncbi.nlm.nih.gov/pubmed/33688372 http://dx.doi.org/10.1155/2021/2649123 |
Ejemplares similares
-
MicroRNA-206 inhibits metastasis of triple-negative breast cancer by targeting transmembrane 4 L6 family member 1
por: Fan, Chunni, et al.
Publicado: (2019) -
Identification of a Lipid Metabolism-Associated Gene Signature Predicting Survival in Breast Cancer
por: Gong, Mingkai, et al.
Publicado: (2021) -
A transcription factor signature predicts the survival of patients with adrenocortical carcinoma
por: Zhao, Jianyu, et al.
Publicado: (2021) -
Molecular Signature of Tumor-Associated High Endothelial Venules That Can Predict Breast Cancer Survival
por: Sawada, Junko, et al.
Publicado: (2022) -
Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival
por: Zhang, Dai, et al.
Publicado: (2021)