Cargando…
An evaluation of KIF20A as a prognostic factor and therapeutic target for lung adenocarcinoma using integrated bioinformatics analysis
The identification of prognostic and therapeutic biomarkers is essential to reduce morbidity and mortality from lung adenocarcinoma (LUAD). This study aimed to identify a reliable prognostic and therapeutic biomarker for LUAD using integrated bioinformatics. Based on the cancer genome atlas (TCGA) a...
Autores principales: | Sun, Dongjie, Zhang, Haiying, Zhang, Chi, Wang, Lina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816395/ https://www.ncbi.nlm.nih.gov/pubmed/36619388 http://dx.doi.org/10.3389/fbioe.2022.993820 |
Ejemplares similares
-
Prioritization of Diagnostic and Prognostic Biomarkers for Lupus Nephritis Based on Integrated Bioinformatics Analyses
por: Chen, Zhimin, et al.
Publicado: (2021) -
Integrative Analysis of Methylation and Gene Expression in Lung Adenocarcinoma and Squamous Cell Lung Carcinoma
por: Zhang, Hao, et al.
Publicado: (2020) -
Characterization of lncRNA-Associated ceRNA Network to Reveal Potential Prognostic Biomarkers in Lung Adenocarcinoma
por: Wang, Yang, et al.
Publicado: (2020) -
OASL as a Diagnostic Marker for Influenza Infection Revealed by Integrative Bioinformatics Analysis With XGBoost
por: Li, Yang, et al.
Publicado: (2020) -
High-Throughput Screen for Cell Wall Synthesis Network Module in Mycobacterium tuberculosis Based on Integrated Bioinformatics Strategy
por: Luo, Xizi, et al.
Publicado: (2020)