Objective To construct a novel ceRNA regulatory network related to immune infiltration pattern and a low-grade gliomas (LGG)prognosis model,and to reveal the role of ceRNA regulatory network in risk assessment and prognosis evaluation of LGG patients in combination with tumor microenvironment.Methods The data of LGG patients with complete survival infor-mation were obtained from the TCGA and CGGA databases,and a new ceRNA regulatory network and a prognostic model related to immune infiltration patterns were constructed and verified by external databases,RT-qPCR and Western blot.Results Using the infiltration score in LGG as the basis for grouping,after the construction of immune-related CeRNA network and the analysis of optimal prognostic risk model,we found that the activation of tumor immune and inflammation-related signaling pathways was enhanced in the high-risk group,and the state of immune response was elevated. The increase of the immune score was signifi cantly associated with poor prognosis,and the risk score could be used as an independent prognostic factor after changes in clini-cal features,suggesting that the local immune status might have a better prognosis. By analyzing the abundance of various im-mune cell types,we found that the infiltration level of CD8+T cells and M0 type macrophages was relatively high in the high risk group with poor prognosis. We explored 47 common immune checkpoints and found that the expression levels of most of the clas-sical checkpoints were significantly higher in the high-risk group than those in the low-risk group. QRT-PCR and Western blot were used to evaluate the model genes of the prognostic evaluation model,which revealed that the expression of ST8SIA2 and SLC10A4 was elevated in glioma,which had potential value for immunotherapy and prognosis prediction.Conclusion The risk scoring model and the prognostic model can be used for risk assessment and prognostic evaluation of LGG patients.
维普
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