Fig. 4

TP53 mutations, genomic instability, high-driver burden lead to poor outcome. a Lower panel is a heatmap representing number of copies for selected genes involved in EGFR TKI resistance or associated with prognosis. Upper panel represents features of a tumor which are associated with patient outcome like TP53 mutation status, genomic instability index, presence of whole-genome doubling, above and below median number of drivers (LUAD specific or extended driver list) and the relapse status. All these features tend to coincide in many tumors. b Total mutation burdens and c driver burdens (extended driver list) are compared between TP53 mutant (mt) and wild-type (wt) tumors. Three random sectors were picked iteratively (n = 20) and averages across iterations are represented in b and c. The first p-value is taking all 16 patients into consideration and the second p-value is after eliminating the outlier A102 in the analysis. P-values are calculated using Welch’s t-test. d Survival plots using TCGA LUAD EGFR-mutant cases (those with non-silent mutations in tyrosine kinase domain, n = 26)⁴ after stratifying above or below median number of LUAD drivers (median = 3). P-value from χ²-test is indicated