Research Paper Volume 13, Issue 24 pp 26063—26094

Tertiary lymphoid structure stratifies glioma into three distinct tumor subtypes

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Figure 8. Construction of riskscore in TCGA and validation in CGGA and GSE16011 dataset. (A) The prognostic role of riskscore in TCGA glioma. (B) The relationship between riskscore and tumor grade, and IDH mutation status in TCGA database. (C) receiver operating characteristic curve indicated the survival prediction of riskscore in TCGA database; (D) The prognostic role of riskscore in glioma of CGGA1. (E) The relationship between riskscore and tumor grade, and IDH mutation status of CGGA1 cohort. (F) receiver operating characteristic curve indicated the survival prediction of riskscore in CGGA1 database. (G) The prognostic role of riskscore in glioma of CGGA2. (H) The relationship between riskscore and tumor grade, and IDH mutation status of CGGA2 cohort. (I) receiver operating characteristic curve indicated the survival prediction of riskscore in CGGA2 database. (J) The prognostic role of riskscore in glioma of GSE16011. (K) The relationship between riskscore and tumor grade, and IDH mutation status of GSE16011 cohort. (L) receiver operating characteristic curve indicated the survival prediction of riskscore in GSE16011 database. TCGA cohort was used as a discovery set, two CGGA cohorts and GSE16011 were employed as validation sets.