A risk signature‐based on metastasis‐associated genes to predict survival of patients with osteosarcoma

摘要: Osteosarcoma (OS) is the most common primary solid malignant bone tumor, and its metastasis a prominent cause of high mortality in patients. In this study, prognosis risk signature was constructed based on metastasis-associated genes. Four microarrays datasets with clinical information were downloaded from Gene Expression Omnibus, 256 genes identified by limma package. Further, protein-protein interaction network constructed, survival analysis performed using data Therapeutically Applicable Research to Generate Effective Treatments matrix, identifying 19 correlated prognosis. Six selected least absolute shrinkage selection operator regression for multivariate cox analysis. Finally, three-gene (MYC, CPE, LY86) GSE21257 GSE16091 used validate prediction efficiency signature. The times low- high-risk groups significantly different training set validation set. Additionally, gene enrichment revealed that may affect cell cycle, gap junctions, interleukin-6 production. Therefore, could potentially predict patients OS. proteins encoded CPE LY86 provide novel insights into OS therapeutic targets.