Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse
Fig 4
Impacts of potential radioresistance driver genes on known radioresistance markers.
Impacts of differentially expressed genes with directly underlying copy number alterations in radioresistant DU145 (a) and radioresistant LNCaP (b) on known markers of radioresistance. The impact score represents the log10-ratio of the gene-specific impact on known radioresistance marker genes comparing the impact score reached for the prostate cancer specific network to the average impact score obtained under 10 random networks of same complexity (degree-preserving network permutations). Impact scores of genes with significantly greater impacts under the original network (q < 0.01) are shown by colored peaks (green: deleted and underexpressed; red: amplified and overexpressed for radioresistant vs. radiosensitive). The majority of gene names are shown. See S5 Table for names of all putative high impact genes. High impact genes that enabled a separation of TCGA prostate cancer patients into early and late relapse groups (Fig 5, S5 Fig) are highlighted in blue.