A hypoxia-related five-lncRNA signature predicts osteosarcoma prognosis

Abstract

Background Recently, several long-noncoding RNAs (lncRNAs) have been identified in hypoxia-associated cancer process including osteosarcoma (OS), enabling an adaptive survival under hypoxic stress conditions. However, hypoxia-related lncRNA signatures have rarely been reported. This study aimed to screen hypoxia-associated lncRNA signatures and assess their prognostic value in OS. Methods OS-related expression data were downloaded from the GEO and TARGET databases. Hypoxia-associated mRNAs were obtained from the HALLMARKHYPOXIA database. Hypoxia-associated lncRNAs were identified by correlation analysis with hypoxia-associated mRNAs. The tumor samples were clustered into different subtypes based on these lncRNAs, followed by immune microenvironment comparison. Prognostic hypoxia-associated lncRNAs were selected via univariate Cox regression analysis, and a prognostic signature was established using LASSO regression analysis. A risk score (RS) model was constructed, followed by pathway analysis, immunocorrelation analysis, and drug susceptibility prediction. Results Thirty hypoxia-related lncRNAs were selected. The OS samples were classified into two subtypes based on lncRNAs. Nine immune cell types showed significantly different levels of infiltration between the two subtypes. Furthermore, five prognostic hypoxia-related lncRNAs were screened out through LASSO regression analyses, and an RS model was constructed. The high- and low-risk groups showed differences in prognosis, pathway, and drug susceptibility. The present study divided OS into two subtypes. A prognostic signature was constructed based on five hypoxia-related lncRNAs. Conclusions The study sucessfully identifies five hypoxia-related lncRNAs and this lncRNA signature may have significant prognostic value in OS.