Comprehensive Analysis of Metabolism-Related lncRNA Related To The Progression And Prognosis In Osteosarcoma From TCGA
Abstract Background: Osteosarcoma is one of the most common malignant neoplasm among children and adolescents. Studies have shown that metabolism-related pathways are more important for the development and metastasis of osteosarcoma. Long non-coding RNA (LncRNA) plays a key role in the occurrence and progression of cancer in a variety of ways, Metabolism-related lncRNA-mediated molecular mechanisms in the regulation of osteosarcoma have not been fully elucidated.Methods: In this study, all metabolic-related mRNAs and metabolic-related LncRNA in osteosarcoma were extracted and identified based on transcriptomic data from the TCGA database. The survival analysis, The univariable and multivariable independent prognostic analysis, The results of gene set enrichment analysis (GSEA) and the nomogram were used to construct a prognosis signature with metabolic LncRNA as prognostic factor.Results: 9 prognostic factors including that LncRNA AC009779.2, LncRNA AL591895.1, LncRNA AC026271.3, LncRNA LPP-AS2, LncRNA LINC01857, LncRNA AP005264.1, LncRNA LINC02454, LncRNA AL133338.1 and LncRNA AC135178.5, respectively. The survival analysis showed that the difference in expression of an individual LncRNA was closely related to poor prognosis in osteosarcoma. The univariable and multivariable independent prognostic analysis showed that the signature had good independent predictive ability for patient survival. The results of gene set enrichment analysis (GSEA) suggest that these predictors may be involved in the metabolism of certain substances or energy in cancer. The nomogram is further drawn for clinical guidance and assistance in clinical decision-making.Conclusions: This study identified multiple metabolic-related lncRNA that can be considered as novel therapeutic targets for osteosarcoma and contribute to better exploring the specific regulatory mechanisms of lncRNA in the metabolism of osteosarcoma.