Identification of N6-methylandenosine related LncRNAs biomarkers associated with the overall survival of osteosarcoma

• Published in: BMC cancer 2021-12, Vol.21 (1), p.1285-1285, Article 1285
• Main Authors: Zhang, Pei, Xu, Keteng, Wang, Jingcheng, Zhang, Jiale, Quan, Huahong
• Format: Article
• Language: English
• Subjects: Adenosine - analogs & derivatives; Adenosine - genetics; Adenosine - metabolism; Atrophy; Bioinformatics; Biological research; Biomarkers; Biomarkers, Tumor - analysis; Biomarkers, Tumor - genetics; Bone and Bones - metabolism; Bone cancer; Bone Neoplasms - genetics; Bone Neoplasms - mortality; Bone Neoplasms - pathology; Cancer therapies; Cell differentiation; Correlation analysis; Data processing; Epigenetics; Gene expression; Genetic aspects; Genetic markers; Health aspects; Humans; Identification and classification; Medical prognosis; Mesenchyme; Metabolism; Metastases; Metastasis; N6-methyladenosine; N6-methylandenosine; Non-coding RNA; Osteoblastogenesis; Osteoblasts; Osteosarcoma; Osteosarcoma - genetics; Osteosarcoma - mortality; Osteosarcoma - pathology; Patient outcomes; Patients; Post-translational modification; Prognosis; Proportional Hazards Models; Regression analysis; Risk Factors; RNA; RNA, Long Noncoding - analysis; RNA, Long Noncoding - metabolism; Sarcoma; Stem cells; Survival analysis; Survival Rate; Tumorigenesis; Tumors; Up-Regulation
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-021-09011-z

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. The purpose of our study was to identify biomarkers for tracking the prognosis and treatment of OS to improve the survival rate of patients. In this study, which was based on Therapeutically Applicable Research to Generate Effective 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. 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 (RP11-286E11.1, LINC01426, AC010127.3, DLGAP1-AS2, RP4-657D16.3, AC002398.11) 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. We constructed a risk score prognosis model of m6A-related lncRNAs (RP11-286E11.1, LINC01426, AC010127.3, DLGAP1-AS2, RP4-657D16.3, AC002398.11) 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 osteosarcoma needs to be further researched by cell and in vivo studies.