MEF2C is a potential prognostic biomarker for osteosarcoma.

ABSTRACT: The purpose of this study was to investigate potential therapeutic targets for osteosarcoma (OS) and offer hints regarding genetic factors for OS treatment using a bioinformatics method. This study processed 3 OS datasets from the gene expression omnibus database using R software, screening for differentially expressed genes (DEGs). After enrichment analysis, based on expression quantitative trait loci data and the genome-wide association study data of OS, Mendelian randomization analysis was used to screen the genes closely related to OS disease, which intersect with DEGs to obtain co-expressed genes, validation datasets were employed to verify the results. Finally, the roles of co-expressed genes in OS were investigated through multiple bioinformatics methods. In this study, 269 DEGs (15

SUBMITTER: Zheng Z 

PROVIDER: S-EPMC12419286 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature