A risk assessment model for the prognosis of osteosarcoma utilizing differentially expressed lncRNAs

Abstract

The present study was conducted to establish a risk assessment model for evaluating osteosarcoma prognosis based on prognosis-associated long non-coding RNA (lncRNA) expression. Human osteosarcoma expression profiles were obtained from the NCBI GEO and EBI ArrayExpress databases and differently expressed lncRNAs between good and poor prognosis groups were evaluated using Student's t-test and Wilcoxon rank test in R (v. 3.1.0). A multivariate Cox regression was used to establish a risk assessment system based on lncRNA expression levels, with the associated regression coefficients used as the weight. Survival analysis and receiver operating characteristic (ROC) curves were constructed to verify the accuracy of the risk assessment model. Associations between the prognosis, risk assessment model and clinical features were also investigated using univariate and multivariate Cox regression analyses. Furthermore, differentially expressed genes associated with the lncRNAs in the risk assessment model were identified, and functional enrichment analysis was performed. A total of 9 from the 211 differentially expressed lncRNAs were selected to establish the risk assessment model. The risk assessment model exhibited a good prognostic prediction ability, with high area under the curve values in the training and validation sets. Additionally, the calculated risk score based on the 9 selected lncRNAs was identified to be an independent prognostic factor for osteosarcoma. Furthermore, differentially expressed genes were primarily enriched in the cell cycle, oxidative phosphorylation and cell adhesion processes. The present study described a risk assessment model based on 9 significantly differentially expressed lncRNAs, which was identified to have a high accuracy in potentially predicting patient prognosis.

Silencing long intergenic non-protein coding RNA 00987 inhibits proliferation, migration, and invasion of osteosarcoma cells by sponging miR-376a-5p to regulate FNBP1 expression

“…1 A). A previous study found that higher LINC00987 expression was strongly correlated with the lower overall survival of osteosarcoma [ 9 ]. In this study, the expression of LINC00987 was consistent with previous studies.…”

“…This study provides evidence that LINC00987 is an oncogene and therapeutic target. A previous study found that LINC00987 expression was increased in patients with acute myeloid leukemia and osteosarcoma and was closely related to poor prognosis [ 9 , 17 ]. These studies also support that LINC00987 is an oncogene, similar to our results.…”

“…Abnormal expression of lncRNAs involved in tumorigenesis, progression, metastasis, and chemotherapy drug resistance can be used as therapeutic targets and diagnostic and prognostic markers in osteosarcoma [ 6 – 8 ]. A previous study found that high long intergenic non-protein coding RNA 987 ( LINC00987 ) expression strongly correlated with low survival of osteosarcoma [ 9 ]. However, their biological functions in osteosarcoma remain unclear.…”

Identification of Biomarkers for Osteosarcoma Based on Integration Strategy

“…Therefore, the identification of new OS biomarkers is of great significance for the treatment and prognosis of OS. Apart from disease genes, many studies have shown that lncRNAs also play an important role in the development of OS [30,35]. In this study, we sequenced 11 pairs of OS samples and screened potential susceptibility genes and lncRNAs of OS by bioinformatics methods and clinical indicators.…”

Hsp90 regulates the tumorigenic function of tyrosine protein kinase in osteosarcoma

“…Clinical research showed that TTK overexpression is correlated with large tumour size and advanced clinical stage of osteosarcoma patients 20 . Bioinformatic study identified TTK among the top genes driving osteosarcoma development and predictive of poor prognosis 21 . However, the molecular mechanism underlying the function of TTK in osteosarcoma has never been systematically investigated and remains largely unknown.…”