Cargando…
Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosis
INTRODUCTION: Gastric cancer is one of the most common cancers in the world. This study aimed to identify genes, biomarkers, and metabolic pathways affecting gastric cancer using bioinformatic analysis and meta-analysis. METHODS: Datasets containing gene expression profiles of tumor lesions and adja...
Autores principales: | Darang, Elham, Pezeshkian, Zahra, Mirhoseini, Seyed Ziaeddin, Ghovvati, Shahrokh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288990/ https://www.ncbi.nlm.nih.gov/pubmed/37361568 http://dx.doi.org/10.3389/fonc.2023.1187521 |
Ejemplares similares
-
Identification of Key Genes and Potential Pathways Associated with Mastitis Induced by E. coli
por: Darang, Elham, et al.
Publicado: (2022) -
Transcriptome Analysis of Breast Muscle Reveals Pathways Related to Protein Deposition in High Feed Efficiency of Native Turkeys
por: Pezeshkian, Zahra, et al.
Publicado: (2022) -
Immunohistochemistry and Bioinformatics Identify GPX8 as a Potential Prognostic Biomarker and Target in Human Gastric Cancer
por: Zhang, Xiaojie, et al.
Publicado: (2022) -
Identification of Hub Genes Correlated With Poor Prognosis for Patients With Uterine Corpus Endometrial Carcinoma by Integrated Bioinformatics Analysis and Experimental Validation
por: Yuan, Yi, et al.
Publicado: (2021) -
Novel Potential Biomarkers Associated With Epithelial to Mesenchymal Transition and Bladder Cancer Prognosis Identified by Integrated Bioinformatic Analysis
por: Wang, Chengyuan, et al.
Publicado: (2020)