Fig. 5: Validation, eQTM, and multi-OMICs cancer driver analysis of UV methylome markers.

a Pearson correlation was used to measure linear relationships between DNA methylation (Beta values) and gene expression levels measured in the same samples for the 10 selected CpGs (filtration step described in Supplementary Fig. 1a), using the TCGA dataset (UV-mutant = 11 and non UV-mutant = 47). Box center lines, bound of the box, and whiskers indicate medians, first and third quantiles, and minimum and maximum values within 1.5 × IQR (interquartile range) of the box limits, respectively. Each data point in the box plot represents the samples. The correlation r and P values were calculated by the two-sided correlation test and are shown for each CpG. b Multi-OMICs data integration from TCGA, encompassing copy number variation (CNV), expression (EXP), methylation (METH) and mutation (MUT), was performed in order to decipher the driver potential of the 12 prioritized genes (see Results) in cutaneous melanoma development following UV exposure. For each gene, scores of CNV, MUT, EXP, METH and multi-OMICs driver are indicated in the table and plotted in the associated circular diagram. c Validation of array-based DNA methylation by bisulfite pyrosequencing of the TAPBP gene in BCH samples (UV-mutant = 7 and non UV-mutant = 40). Data were expressed as the average values of each group (UV-mutant and non UV-mutant) for each single CpG with error bars indicating the 95% confidence interval.