fig2

Machine learning-based integration of omics and clinical data reveals an N-glycan biosynthesis signature predictive of the outcome in low-grade glioma: an <i>in silico</i> study

Figure 2. Prognostic Impact of N-Glycan Biosynthesis Gene Signature in LGG. (A) Venn plot displaying the overlap among N-Glycan Biosynthesis (NGB) pathway genes, Kaplan-Meier (KM)-significant genes, and univariate-COX-significant genes. (B) Dot plot illustrating cluster number and the proportion of ambiguous clustering. (C) Consensus score matrix for all samples at k = 2. A lower consensus score indicates a higher likelihood of samples being grouped into the same cluster in different iterations. (D) Forest plot presenting prognostic NGB signatures. HR > 1 indicates a poor prognosis, while HR < 1 signifies the opposite. (E) Heatmap depicting prognostic NGB genes in the two clusters identified by ConsensusClusterPlus. Relative sample information is annotated on the top. (F) Kaplan-Meier curves for overall survival between the two sub-clusters. (G) NGB pathway representation for the two clusters. HR values are color-annotated, with red indicating poor prognosis and blue indicating the opposite.

Journal of Cancer Metastasis and Treatment
ISSN 2454-2857 (Online) 2394-4722 (Print)

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