Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks
Figure 9
Clinical association of genes with death and aggressiveness of cancer. To understand the effect of alteration in gene expression, Kaplan-Meier survival curves are plotted to two sets of genes. (a) Is KM curves for all genes in figure top 25 genes altered. Samples with alterations demonstrated high risk disease. (b) Is KM curves using only ERG, SPINK1, KCNH8, and FABP5. Alterations in these four genes showed higher risk compared with the whole set of genes. (c) Hamming distance is used as a measure to find genes that have high association with death and aggressive cancer. Both death and aggressiveness were represented as vectors of samples. Distance shows how much gene's rearrangements vector differ from clinical vectors (death, aggressive). For example, ERG has distance of 0.16 to death vector; means that 84% of the samples of ERG fusion have death outcome.
