Identification of a novel MYC target gene set signature for predicting the prognosis of osteosarcoma patients.

Osteosarcoma is a primary malignant tumor found mainly in teenagers and young adults. Patients have very little long-term survival. controls tumor initiation and progression by regulating the expression of its target genes; thus, constructing a risk signature of osteosarcoma target gene set will benefit the evaluation of both treatment and prognosis. In this paper, we used GEO data to download the ChIP-seq data of to obtain the target gene. Then, a risk signature consisting of 10 target genes was developed using Cox regression analysis. The signature indicates that patients in the high-risk group performed poorly. After that, we verified it in the GSE21257 dataset. In addition, the difference in tumor immune function among the low- and high-risk populations was compared by single sample gene enrichment analysis. Immunotherapy and prediction of response to the anticancer drug have shown that the risk signature of the target gene set was positively correlated with immune checkpoint response and drug sensitivity. Functional analysis has demonstrated that these genes are enriched in malignant tumors. Finally, was selected for functional experimentation. silence has limited osteosarcoma cell migration, invasion, and proliferation. Therefore, these findings indicated that the target gene set risk signature could be used as a potential therapeutic target and prognostic indicator in patients with osteosarcoma.