Identification and Validation of a Potent Multi-miRNA Signature for Prediction of Prognosis of Osteosarcoma Patients.

ABSTRACT: BACKGROUND Osteosarcoma, the most common solid malignancy, has high incidence and mortality rates. We constructed a miRNA-based signature that can be used to assess the prognosis of osteosarcoma patients. MATERIAL AND METHODS The miRNA profile was derived from the Gene Expression Omnibus (GEO) website, with matched clinical records. The miRNA-based overall survival (OS)-predicting signature was established by LASSO Cox regression analysis. Receiver operating characteristic (ROC) curve and Kaplan-Meier (K-M) analyses were performed to examine the stability and discriminatory ability of the OS-predicting signatures. Pathway enrichment analyses were performed to uncover potential mechanisms. RESULTS Three miRNAs (miR-153, miR-212, and miR-591) independently related to the OS were extracted to

SUBMITTER: Luo X 

PROVIDER: S-EPMC7060510 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature