Supplementary Figures from NSD1 Inactivation and SETD2 Mutation Drive a Convergence toward Loss of Function of H3K36 Writers in Clear Cell Renal Cell Carcinomas

Supplementary Figure 1. Independent validation of C-CIMP A) Supervised clustering of TCGA samples in ccRCC validation dataset assessed by 27k Infinium arrays. The (beta value) level of DNA methylation is represented with a color scale. Each column represents a sample; each row a probe set. The transcriptomic subtype in TCGA, the copy number variation at 9p23.1 locus (CDKN2A), somatic mutation status of four genes (PBRM1, BAP1, SETD2 and VHL) are indicated by red, green and gray squares, with annotations in the legend. B) Kaplan-Meier curves showing distinct outcome of patients according to the three subgroups of DNA methylation classification, with patients belonging to C-CIMP subgroup having the worst outcome. Supplementary Figure 2. Expression vs DNA methylation between C-CIMP and no-CIMP subgroups using volcano and starburst plots. A) All CpG loci analyzed for C-CIMP association; x-axis: β-value difference in DNA methylation between C-CIMP and no-CIMP clusters; y-axis: p-value of the corrected FDR between the two groups; red: probes significantly different between the two subgroups. B) TCGA promoter DNA methylation vs. gene expression analyzed by RNAseq. Log-10 (FDR adjusted p-value) is plotted for DNA methylation (x-axis) and gene expression for each gene (y-axis). Green indicates genes that are downregulated for gene expression and which gain DNA methylation in C-CIMP cluster versus no-CIMP cluster. Red indicates genes that are upregulated for gene expression and gain DNA methylation. Supplementary Figure 3. Association between somatic mutations and DNA methylation subgroups. A) Mutational load is increased in C-CIMP as compared to no-CIMP and low-CIMP subgroups. B) Association between somatic mutations of BAP1 and SETD2 in C-CIMP subgroup as compared to low-CIMP and no-CIMP subgroups. Supplementary Figure 4. Predictive value of VEGF receptor methylation to predict response to sunitinib. Kaplan-Meier curves for progression-free survival of patients treated with sunitinib according to tumor methylation status of (A) FLT4, (B) FLT1, and (C) FLT3 genes in Beuselinck study. Supplementary Figure 5. C-CIMP subgroup in metastatic ccRCC A) Supervised clustering of DNA methylation in Beuselinck study was consistent with the three DNA methylation subgroups C-CIMP, low-CIMP and no-CIMP. B) Kaplan-Meier curves for progression-free survival of patients treated with sunitinib according to their CIMP status. Supplementary Figure 6. Correlation between methylome signature of NSD1 mutations of patients with Sotos syndrome and ccRCC. A) Supervised clustering of DNA methylation in TCGA ccRCC using genome-wide methylome signature of NSD1 mutations in Sotos syndrome. B) Kaplan-Meier curves for overall survival of patients with ccRCCs according to NSD1 mutations in genome-wide methylome signature. Note that the analyzed cohort encompasses 271 ccRCCs assessed by Infinium 450K arrays.