TITLE:
Comparative Bioinformatics Analysis of Ewing’s Sarcoma and Femoral Head Necrosis
AUTHORS:
Yanlin He, Fengqing Liao, Jialong Huang, Junxiu Zhou, Mingxuan Liu, Jiahou Xu, Huang Wen, Yongfu Chen, Pengyuan He, Huan Zhang
KEYWORDS:
ES, ONFH, Bioinformatics Analysis, Differentially Expressed Gene, Signal Pathway
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.13 No.7,
July
14,
2025
ABSTRACT: Objective: To screen and analyze the differentially expressed genes (DEGs) in Ewing’s sarcoma (ES) and osteonecrosis of the femoral head (ONFH) using bioinformatics. Methods: Using the GEO gene chip public database in NCBI for data retrieval, select chip data GSE17674 and GSE74089 as analysis objects. Using the R language limma toolkit to screen for DEmRNAs, and standardizing the data, a Venn diagram was used to screen for common differentially expressed genes between the two; Perform GO functional and KEGG pathway enrichment analysis on common differentially expressed genes using the R language clusterProfiler package. Select String database for PPI analysis, import the results into Cytoscape software to obtain PPI mapping, core modules, and Hub genes. Download the known genes of ES and ONFH from the OMIM database, intersect them with the core module genes screened by MOCDE, and obtain the COL11A1 gene; Intersect the genes downloaded from the OMIM database with the screened differentially expressed genes to obtain four genes: COL11A1, KIT, KRAS, and MSH2. Then intersect the genes obtained from both to obtain the COL11A1 gene. Conclusion: The differentially expressed genes and related signaling pathways identified can help understand the molecular mechanisms underlying the pathogenesis of ES and ONFH, providing a basis for early diagnosis of ES combined with ONFH; The drug prediction results can provide second-line drugs for the clinical treatment of ES combined with ONFH, and provide new ideas for clinical drug treatment research.