The Cuproptosis-related Long Noncoding RNA Signature Predicts Prognosis And Tumour Immune Analysis In Osteosarcoma

Objective:Cuprotopsis is a type of programmed cell death discovered in recent years.Long noncoding RNAs(lnc RNAs)play an important regulatory role in programmed cell death.The study for the effect of cuproptosis-related lnc RNAs on osteosarcoma is still blank at present.Our work based on cuproptosis-related lnc RNAs proposes a gene signature to assess the prognosis of patients with osteosarcoma.This may provide a new potential approach for the identification of tumour biomarkers associated with osteosarcoma.Methods:Osteosarcoma gene expression data from The Cancer Genome Atlas(TCGA),clinical features of osteosarcoma and RNA sequencing data of normal adipose tissue were obtained from the UCSC xena.A cuproptosis-related lnc RNA risk model was established to calculate the risk score.At the same time,cluster analysis,clinicopathological analysis,functional enrichment analysis,prediction of compounds with potential therapeutic value were evaluated.Finally,we analyzed whether there was a correlation between risk score and tumour immunity.Results:Cluster analysis was used to divide osteosarcoma specimens into two groups,and the survival analysis showed that there were survival differences between the two clusters.Using least absolute shrinkage and selection operator(LASSO)regression,nine lnc RNAs(A two subgroups,AC124798.1,AC006033.2,AL450344.2,AL512625.2,LINC01060,LINC00837,AC004943.2,AC064836.3,AC100821.2)were identified to create a risk model and indicate the prognosis of patients with osteosarcoma.In osteosarcoma samples,we analyzed both groups and found that the high-risk group had a worse prognosis than the low-risk group.Analysis of clinicopathological features,principle component analysis,receiver operating characteristic curve,c-index curve and comparative analysis of models to prove that the model is reliable.Functional enrichment analysis suggests that the risk score may correlate with cell energy metabolism and tumour-related biological function.Three potentially therapeutic compounds have been predicted.These analyses may be beneficial to the treatment of osteosarcoma in the future.However,there seems to be no significant relationship between risk score and tumour immunity with osteosarcoma.Conclusions:Cuproptosis-related lnc RNAs have a great relationship with osteosarcoma patients.Nine lnc RNAs models can effectively forecast the prognosis of osteosarcoma and may play a significant role in individualized treatment of osteosarcoma patients in the future.