Cargando…
Comprehensive Analysis of Fibroblast Growth Factor Receptor (FGFR) Family Genes in Breast Cancer by Integrating Online Databases and Bioinformatics
BACKGROUND: Fibroblast growth factor receptors (FGFRs) play vital roles in the development and progression of human cancers. This study aimed to comprehensively understand the prognostic performances of FGFR1–4 expression in breast cancer (BC) by mining databases. MATERIAL/METHODS: The levels of FGF...
Autores principales: | Zhou, Zhaoping, Wu, Baojin, Tang, Xinjie, Ke, Ronghu, Zou, Qiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236589/ https://www.ncbi.nlm.nih.gov/pubmed/32381997 http://dx.doi.org/10.12659/MSM.923517 |
Ejemplares similares
-
High SET Domain Bifurcated 1 (SETDB1) Expression Predicts Poor Prognosis in Breast Carcinoma
por: Zhou, Zhaoping, et al.
Publicado: (2020) -
Gene Regulation Network of Prognostic Biomarker YAP1 in Human Cancers: An Integrated Bioinformatics Study
por: Wu, Baojin, et al.
Publicado: (2021) -
RNA sequencing analysis of FGF2-responsive transcriptome in skin fibroblasts
por: Wu, Baojin, et al.
Publicado: (2021) -
iTRAQ-Based Proteomic Analysis reveals possible target-related proteins and signal networks in human osteoblasts overexpressing FGFR2
por: Cai, Tianyi, et al.
Publicado: (2018) -
Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI’s Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis
por: Yu-jing, Tan, et al.
Publicado: (2020)