Prognostic Prediction and Immunotherapy Analysis of Basement Membranes-Related Genes in Osteosarcoma Based on Bioinformatics

Abstract

Abstract Purpose: The prognosis and survival rate of metastatic osteosarcoma have been puzzling people. The penetration of basement membranes (BMs) is one of the necessary conditions for tumor metastasis. Long non-coding RNAs (lncRNAs) also plays an indispensable role in tumor proliferation, migration and invasion. It is unclear whether BMs-related lncRNAs are associated with osteosarcoma prognosis. Therefore, this study aimed to investigate whether there is a correlation between BMs-related lncRNAs and the prognosis of osteosarcoma. Methods: The BMs-related lncRNAs associated with prognosis were screened out, and several participating models were selected by LASSO Cox regression method.All OS samples from TCGA were divided into high-risk group and low-risk group according to the median risk score. The model was used to value prognosis and survival, and the validity and accuracy of the model were verified. Results: The high-risk group had a worse prognosis than the low-risk group. The clinicopathological characteristics analysis, principal component analysis (PCA), ROC curve, C-index curve and model comparison analysis all proved that the model was reliable. Moreover, there was an association between risk score and OS immunity. Conclusion: the lncRNAs associated with BMs can be used to value the prognosis of OS and may be involved in tumor immunity.