Skip to main content
Figure 3 | BMC Genomics

Figure 3

From: Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

Figure 3

Pathway activity view of cancers. (A) Heat map describing the two-way hierarchical clustering of inferred activity of 217 Biocarta pathways across 16 types of cancers. Each row is a different type of cancer, and each column is a pathway. Color bar represents Z-score transformation of the activity score of the pathway. Red indicates significantly disrupted pathways, and green indicates pathways that are not disrupted by copy number alterations. (B) Heat map describing the correlation coefficient of pathway co-disruption (red: positive correlation, green negative correlation). The top 30 ranked disrupted pathways across cancers are included in the heat map. (C) Zoom-in plots including cancer-type specific and commonly disrupted pathways. For example, Cytokine, DC (“Dendritic cells in regulating TH1 and TH2 Development”), and INFLAM (“Cytokines and Inflammatory Response”) pathways are only disrupted in acute lymphoblastic leukemia and myelodysplasia. Cytokines and inflammatory response, as well as dendritic cells as modulators of immune responses in DC pathway are known for development of acute lymphoblastic leukemia and myelodysplasia. In contrast to cancer-type specific disrupted pathways, there is a set of commonly disrupted pathways across cancers. For example, TGFB (“TGF beta signaling”) pathway is one of commonly disrupted pathways across more than 10 types of cancers. Other commonly disrupted pathways include TEL (“Telomeres, Telomerase, Cellular Aging, and Immortality”), TRKA (or NTRK1) (“Trka Receptor Signaling Pathway”), CTCF (“First Multivalent Nuclear Factor”), and SPRY (“Sprouty regulation of tyrosine kinase signals”) pathways.

Back to article page