Bioinformatics integrated analysis to investigate candidate biomarkers and associated metabolites in osteosarcoma.

ABSTRACT:

Background

This study hoped to explore the potential biomarkers and associated metabolites during osteosarcoma (OS) progression based on bioinformatics integrated analysis.

Methods

Gene expression profiles of GSE28424, including 19 human OS cell lines (OS group) and 4 human normal long bone tissue samples (control group), were downloaded. The differentially expressed genes (DEGs) in OS vs. control were investigated. The enrichment investigation was performed based on DEGs, followed by protein-protein interaction network analysis. Then, the feature genes associated with OS were explored, followed by survival analysis to reveal prognostic genes. The qRT-PCR assay was performed to test the expression of these genes. Finally, the OS-associated metabolites and disease-metabolic n

SUBMITTER: Wang J 

PROVIDER: S-EPMC8256509 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature