Research Paper Volume 15, Issue 13 pp 6264—6291
Identification of natural killer cell-related characteristics to predict the clinical prognosis and immune microenvironment of patients with low-grade glioma
Figure 3. Degree of immune cell infiltration in different molecular subtypes. (A) Variation in 22 immune cell scores among various TCGA-LGG molecular subtypes. (B) Variation in ESTIMATE immune infiltration among various TCGA-LGG molecular subtypes. (C) Variation in 22 immune cell scores among different CGGA cohort molecular subtypes. (D) Variation in ESTIMATE immune infiltration among CGGA cohort molecular subtypes. (E) Variation in the gene cluster scores for the seven inflammation-related genesets among molecular subtypes in the TCGA-LGG cohort. (F) Differences in the gene cluster scores for the seven inflammation-related genesets among molecular subtypes in the CGGA cohort. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001. Abbreviations: ns: no significance; ssGSEA: single-sample GSEA; TCGA: The Cancer Genome Atlas; GSEA: gene set enrichment analysis; CGGA: Chinese Glioma Genome Atlas; LGG: low-grade glioma; HCK: hematopoietic cell kinase; IgG: Immunoglobulin G; LCK: lymphocyte-specific protein tyrosine kinase; MCH: melanin-concentrating hormone; STAT1: signal transducer and activator of transcription 1.