Figure - available from: Scientific Reports
This content is subject to copyright. Terms and conditions apply.
Classification for glioma patients based on DRGs. (A–C) The results of consensus clustering analysis for glioma patients based on DRGs. (D) Overall survival analysis between patients in the three clusters. (E) Scatter plot demonstrating the result of PCA for the classification of glioma patients based on DRGs. (F) Comparisons of clinicopathological features across the three clusters. (G) The up/down-regulated DRGs in differentiation state 1 and 3 showed similar expression patterns in C2 and C3 clusters, respectively. DRGs: differentiation related genes, PCA: principal component analysis.
Source publication
Differentiation states of glioma cells correlated with prognosis and tumor-immune microenvironment (TIME) in patients with gliomas. We aimed to identify differentiation related genes (DRGs) for predicting the prognosis and immunotherapy response in patients with gliomas. We identified three differentiation states and the corresponding DRGs in gliom...
Similar publications
Background:
Lower-grade gliomas (LGGs) are less aggressive with a long overall survival (OS) time span. Because of individualized genomic features, a prognostic system incorporating molecular signatures can more accurately predict OS.
Methods:
Differential expression analysis between LGGs and normal tissues was performed using the Gene Expressio...
