Fig 2. GSEA Predicts High EGFR Activity in PTPRH Mutant NSCLC Tumors.

Numerous bioinformatics methods illustrate the importance of PTPRH mutations in human non-small cell lung cancer. A) data analyzed from the International Genome Consortium as well as The Cancer Genome Atlas show PTPRH mutations occurring in a number of human cancers. Lung cancer is highlighted due to the relationship of PTPRH with EGFR, and EGFRs importance in lung cancer. B) Lollipop plot of human PTPRH mutations correlated with predicted EGFR activity. Each dot represents a human NSCLC tumor with a mutation in PTPRH. Dot color corresponds to EGFR activity predicted through ssGSEA. C) CBIO oncoplot of NSCLC tumor mutation data from TCGA. Patient tumors with PTPRH mutations are shown to be mutually exclusive from patient tumors with EGFR mutations. D) Clustered heatmap of pathway activation prediction through GSEA. Each column represents a NSCLC tumor with mutation status corresponding to the color coded top bar. Each row represents predicted activation of pathways through ssGSEA. E) GSEA random walk plots show predicted activation of PI3K and AKT within PTPRH mutant tumors compared to PTPRH WT tumors.