Figures & data
(A) Forest plot of the correlation between glycolysis levels and OS of pan-cancer patients; (B) Heatmap shows P-values (including age, gender, pathologic stage, and histological grade) with significance (P < 0.05, red); (C–F) Highlight of tumor molecular subtypes that exhibit strong correlations with glycolysis.
(A) Patients were divided into high- and low- glycolysis groups based on the gene expression of 72 signature genes generated by K-means clustering; (B) Principal component analysis plot indicates that the two subgroups have distinct glycolysis gene expression profiles; (C) Kaplan–Meier survival analysis curves for the two patient clusters; (D) Heatmap of the 8633 patients grouped by cluster, with annotations associated with each cluster; (E) The ratio of patients with high and low glycolysis in different cancer types.
(A) Heatmap of glycolysis scores and pathway alterations; (B) Heatmap showing P-values (Mann–Whitney U test). Red indicates that the glycolysis score is upregulated, while blue indicates that it is downregulated in the pathway alteration group.
(A) Gene ontology of glycolysis-associated genes; (B) Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of glycolysis-associated genes; (C) Protein–protein interaction (PPI) network of glycolysis-associated genes.
Data availability statement
The datasets analyzed in this study were obtained from the TCGA database (http://www.cancer.gov/tcga).