Osteosarcoma (OS) is a differentiation disease caused by the genetic and epigenetic differentiation of mesenchymal stem cells into osteoblasts. OS is a common, highly malignant tumor in children and adolescents. Fifteen to 20 % of the patients find distant metastases at their first visit. | Zhang et al. BMC Cancer 2021 21 1285 https s12885-021-09011-z RESEARCH Open Access Identification of N6-methylandenosine related LncRNAs biomarkers associated with the overall survival of osteosarcoma Pei Zhang1 Keteng Xu2 Jingcheng Wang1 3 Jiale Zhang3 and Huahong Quan4 Abstract Purpose Osteosarcoma OS is a differentiation disease caused by the genetic and epigenetic differentiation of mes- enchymal stem cells into osteoblasts. OS is a common highly malignant tumor in children and adolescents. Fifteen to 20 of the patients find distant metastases at their first visit. The purpose of our study was to identify biomarkers for tracking the prognosis and treatment of OS to improve the survival rate of patients. Materials and methods In this study which was based on Therapeutically Applicable Research to Generate Effec- tive Treatments TARGET we searched for m6A related lncRNAs in OS. We constructed a network between lncRNA and m6A and built an OS prognostic risk model. Results We identified 14 581 lncRNAs by using the dataset from TARGET. We obtained 111 m6A-related lncRNAs through a Pearson correlation analysis. A network was built between lncRNA and m6A genes. Eight m6A-related lncRNAs associated with survival were identified through a univariate Cox analysis. A selection operator LASSO Cox regression was used to construct a prognostic risk model with six genes LINC01426 DLGAP1-AS2 obtained through least absolute shrinkage. We also discovered upregulated levels of DLGAP1-AS2 and m6A methylation in osteosarcoma tissues cells compared with normal tissues osteoblasts cells. Conclusion We constructed a risk score prognosis model of m6A-related lncRNAs LINC01426 DLGAP1-AS2 using the dataset downloaded from TRAGET. We verified the value of the model by dividing all samples into test groups and training groups. However the role of m6A-related lncRNAs in .
