A novel tailored immune gene pairs signature for overall survival prediction in lower-grade gliomas.

摘要: Lower-grade gliomas (LGGs) have a good prognosis with wide range of overall survival (OS) outcomes. An accurate prognostic system can better predict time. RNA-Sequencing (RNA-seq) signature showed predictive power than clinical predictor models. A constructed using gene pairs transcend changes from biological heterogeneity, technical biases, and different measurement platforms. RNA-seq coupled corresponding information were extracted The Cancer Genome Atlas (TCGA) the Chinese Glioma (CGGA). Immune-related (IRGPs) used to establish through univariate multivariate Cox proportional hazards regression. Weighted co-expression network analysis (WGCNA) was evaluate module eigengenes correlating immune cell infiltration construct networks. Samples in training testing cohorts dichotomized into high- low-risk groups. Risk score identified as an independent predictor, exhibited closed relationship prognosis. WGCNA presented set that positively correlated age, WHO grade, isocitrate dehydrogenase (IDH) mutation status, 1p/19 codeletion, risk score, infiltrations (CD4 T cells, B dendritic macrophages). nomogram comprising 1p/19q three (BIRC5|SSTR2, BMP2|TNFRSF12A, NRG3|TGFB2) established tool for predicting OS. IPGPs signature, which is associated infiltration, novel tailored individual-level prediction.