Abstract
IntroductionGlioma is the most common primary cancer of the central nervous system with dismal prognosis. Long noncoding RNAs (lncRNAs) have been discovered to play key roles in tumorigenesis in various cancers, including glioma. Because of the relevance between immune infiltrating and clinical outcome of glioma, identifying immune-related lncRNAs is urgent for better personalized management.Materials and methodsSingle-sample gene set enrichment analysis (ssGSEA) was applied to estimate immune infiltration, and glioma samples were divided into high immune cell infiltration group and low immune cell infiltration group. After screening differentially expressed lncRNAs in two immune groups, least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to construct an immune-related prognostic signature. Additionally, we explored the correlation between immune infiltration and the prognostic signature.ResultsA total of 653 samples were appropriate for further analyses, and 10 lncRNAs were identified as immune-related lncRNAs in glioma. After univariate Cox regression and LASSO Cox regression analysis, six lncRNAs were identified to construct a prognostic signature for glioma, which could be taken as independent prognostic factors in both univariate and multivariate Cox regression analyses. Moreover, risk score was significantly correlated with all the 29 immune-related checkpoint expression (p < 0.05) in ssGSEA except neutrophils (p = 0.43).ConclusionThe study constructed an immune-related prognostic signature for glioma, which contributed to improve clinical outcome prediction and guide immunotherapy.
Highlights
Glioma is the most common primary cancer of the central nervous system with dismal prognosis
A total of 653 samples were appropriate for further analyses, and 10 Long noncoding RNAs (lncRNAs) were identified as immune-related lncRNAs in glioma
After univariate Cox regression and least absolute shrinkage and selection operator (LASSO) Cox regression analysis, six lncRNAs were identified to construct a prognostic signature for glioma, which could be taken as independent prognostic factors in both univariate and multivariate Cox regression analyses
Summary
Glioma is the most common primary cancer of the central nervous system with dismal prognosis. As many as 30 to 50% of the cells in gliomas are microglia or macrophages, and tumor-associated microglia and macrophages (TAMs) within the brain tend to be protumorigenic and accumulate as higher as tumor grade (Komohara et al, 2008; Hambardzumyan et al, 2016). Other immune cells, such as dendritic cells, play an essential role in cancer immune therapy in recent years (Anguille et al, 2014). Screening reliable immune predictors and prognostic indicators to improve the prognosis of glioma and guide the individual treatment strategies is warranted
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