Cancer Cell Int: Immune-related prognosis biomarkers associated with osteosarcoma microenvironment

Osteosarcoma is a highly invasive bone tumor found in children and adolescentsThe treatment and outcome of osteosarcoma has remained unchanged over the past 30 yearsThe relationship between osteosarcoma and immune microenvironment may be the key to treating osteosarcomawe used the ESTIMATE algorithm to calculate the immunity and matrix scores of osteosarcoma cases in the Target databaseThen, we used the CIBERSORT algorithm to explore the tumor microenvironment and analyze the immuno-immersion of osteosarcomaDifferential expression genes (DEGs) are determined based on immunization and matrix scoresUsing the Retrieval Interaction Gene Database (STRING) Retrieval Tool to evaluate protein-protein interaction (PPI) information, the Molecular Complex Detection (MCODE) plug-in was used to screen the PPI network hub module in CytoscapeThe prognosis value of the gene signature was verified in a separate GSE39058 queueGene enrichment analysis (GSEA) was carried out to study the central genes in the signaling pathwaysresults, the researchers identified 137 DEGs, including 134 uplift genes and three degrades, from 83 osteosarcoma samples from the target data setFunctional enrichment analysis and PPI networks show that these genes are mainly involved in neutrophil degluing and neutrophil activation in the immune response, as well as in neuroactive ligand-receptor interactions and Staphylococcus aureus infectionin short, our study has created an immune-related genetic marker to predict the prognosis of osteosarcoma, which may be an important target for individual treatment