Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types

Figure 2

Surfaceome cancer genes identified by the -score method. (a) Heatmap representation of all 248 surfaceome cancer genes for all 15 tumor types. The -score distribution is represented as a range of colors (red as negative -score, blue as positive -scores). Tumor types are SKCM (Skin Cutaneous Melanoma), COADREAD (Colorectal Adenocarcinoma), LUAD (Lung Adenocarcinoma), UCEC (Uterine Corpus Endometrial Carcinoma), LGG (Low Grade Glioma), LAML (Acute Mieloid Leukemia), SARC (Sarcoma), OV (Ovarian Serous Carcinoma), PRAD (Prostate Adenocarcinoma), GBM (Glioblastoma), KIRC (Kidney Renal Clear Cell Carcinoma), BRCA (Breast Invasive Carcinoma), LUSC (Lung Squamous Cell Carcinoma), BLCA (Bladder Adenocarcinoma), and HSNC (Head-Neck Squamous Cell Carcinoma). (b) GO enrichment analysis for the three groups of genes as identified in (Figure 2(a)). The adjusted values are sorted from least (blue) to most (red) significant. Furthermore, the dot size is based on gene ratio, which is the observed number of genes in the experimental set within the respective gene ontology category.

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