Clinical sample data from TCGA were extracted via cBioPortal. Samples were grouped by cancer studies and by p53 mutation status. (A) Breast invasive carcinoma (R175H [n = 42], R248W [n = 14], R273C [n = 12], Y220C [n = 11], wild-type [n = 116]), pancreatic adenocarcinoma (R175H [n = 5], R273C [n = 3], R248W [n = 5], wild-type [n = 29]) and head and neck squamous cell carcinoma (R273H [n = 16] and wild-type [n = 17]) NOX4 mRNA expression in samples with different p53 mutations were compared to those with p53-WT within their respective cancer studies. Statistical significance was established using Mann-Whitney test where appropriate. Extreme outliers were removed from plots but retained during statistical analysis. (B) Increases in NOX4 mRNA expression are positively correlated with fibronectin expression patterns. TCGA data were analyzed using Spearman rank correlation tests and linear regression analysis. Data points were colored based on the assigned p53 mutation status. The R script, copies of the data used and high-resolution figures are publically available at github.com/wfma/HEBoudreau. Significance values are indicated as *P-value < 0.05, or **P-value < 0.01.