By integrating the sub-networks of patients on each cancer data set, we obtained the statistic information of individual specific sub-networks of TP53 including frequency as personalized driver genes, the SNVs mutation frequency, mean differential expression fold change (the absolute value of log2 fold change between normal expression data and tumor expression data), and mean network degree in individual specific sub-networks (Table 1). This evidence concerns the gene TP53 and cancer.