Cargando…
Comprehensive analysis of gene expression profiles to identify differential prognostic factors of primary and metastatic breast cancer
Breast cancer accounts for nearly half of all cancer-related deaths in women worldwide. However, the molecular mechanisms that lead to tumour development and progression remain poorly understood and there is a need to identify candidate genes associated with primary and metastatic breast cancer prog...
Autor principal: | Albogami, Sarah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168623/ https://www.ncbi.nlm.nih.gov/pubmed/35677896 http://dx.doi.org/10.1016/j.sjbs.2022.103318 |
Ejemplares similares
-
In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers
por: Kim, Jongchan
Publicado: (2021) -
Notch signaling pathway: a comprehensive prognostic and gene expression profile analysis in breast cancer
por: Yousefi, Hassan, et al.
Publicado: (2022) -
Comprehensive analysis of peroxiredoxins expression profiles and prognostic values in breast cancer
por: Mei, Jie, et al.
Publicado: (2019) -
Analysis of differential gene expression profile identifies novel biomarkers for breast cancer
por: Pan, Yunbao, et al.
Publicado: (2017) -
Prognostic significance of heparanase expression in primary and metastatic breast carcinoma
por: Vornicova, Olga, et al.
Publicado: (2017)