Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.

ABSTRACT: The present study aimed to identify key genes and relevant microRNAs (miRNAs) involved in laryngeal squamous cell carcinoma (LSCC). The gene expression profiles of LSCC tissue samples were analyzed with various bioinformatics tools. A gene expression data set (GSE51985), including ten laryngeal squamous cell carcinoma (LSCC) tissue samples and ten adjacent non-neoplastic tissue samples, was downloaded from the Gene Expression Omnibus. Differential analysis was performed using software package limma of R. Functional enrichment analysis was applied to the differentially expressed genes (DEGs) using the Database for Annotation, Visualization and Integrated Discovery. Protein-protein interaction (PPI) networks were constructed for the protein products using information from the Search Tool for

SUBMITTER: Guan GF 

PROVIDER: S-EPMC4464462 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature