Cargando…
Bioinformatics Analysis Reveals Biomarkers With Cancer Stem Cell Characteristics in Lung Squamous Cell Carcinoma
BACKGROUND: Tumor stem cells play important roles in the survival, proliferation, metastasis and recurrence of tumors. We aimed to identify new prognostic biomarkers for lung squamous cell carcinoma (LUSC) based on the cancer stem cell theory. METHODS: RNA-seq data and relevant clinical information...
Autores principales: | Liao, Yi, Xiao, Hua, Cheng, Mengqing, Fan, Xianming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247832/ https://www.ncbi.nlm.nih.gov/pubmed/32528520 http://dx.doi.org/10.3389/fgene.2020.00427 |
Ejemplares similares
-
Weighted Gene Coexpression Network Analysis of Features That Control Cancer Stem Cells Reveals Prognostic Biomarkers in Lung Adenocarcinoma
por: Liao, Yi, et al.
Publicado: (2020) -
Integrated Single-Cell Bioinformatics Analysis Reveals Intrinsic and Extrinsic Biological Characteristics of Hematopoietic Stem Cell Aging
por: Zeng, Xiangjun, et al.
Publicado: (2021) -
The Clinical Significance and Immunization of MSMO1 in Cervical Squamous Cell Carcinoma Based on Bioinformatics Analysis
por: Zheng, Guangfei, et al.
Publicado: (2021) -
FN1 promotes prognosis and radioresistance in head and neck squamous cell carcinoma: From radioresistant HNSCC cell line to integrated bioinformatics methods
por: Tang, Xiaojun, et al.
Publicado: (2022) -
Construction of the prognostic signature of alternative splicing revealed the prognostic predictor and immune microenvironment in head and neck squamous cell carcinoma
por: Ye, Fan, et al.
Publicado: (2022)