Bioinformatics-based identification of key genes CDC5L and related pathways in osteosarcoma and Ewing's sarcoma

Abstract

Osteosarcoma(OS) and Ewing's sarcoma (EWS) are the two most common primary malignant bone tumors in children. The aim of the study was to identify key genes in OS and EWS and investigate their potential pathways. Expression profiling (GSE16088 and GSE45544) were obtained from GEO DataSets. Differentially expressed genes were identified using GEO2R and key genes involved in the occurrence of both OS and EWS were selected using venn diagram. Gene ontology and pathway enrichment analyses were performed for the ensembl. Protein-protein interaction (PPI) networks were established by STRING. Further, UCSC was used to predict the transcription factors of the cell division cycke 5-like(CDC5L) gene, and GEPIA was used to analyze the correlation between the transcription factors and the CDC5L gene. The results showed that CDC5L gene was the key gene involved in the pathogenesis of OS and EWS. The gene is mainly involved in mitosis, and is related to RNA metabolism, processing of capped intron-containing pre-mRNA, mRNA and pre-mRNA splicing. CDC5L, as a key gene, plays a role in development of OS and EWS, which may be reliable targets for diagnosis and treatment of these primary malignant tumors.