Indeed, when building a tissue-specific breast cancer model of G0 arrest using a combined ANOVA and random forest classification approach (Additional file 2: Fig. S4a), we not only recovered the associations with the TP53, MYC, LMNA and ETV6 events already seen in the pan-cancer model (Additional file 2: Fig. S4b) but also identified additional events which validated in the METABRIC cohort and were also seen in several other cancers, e.g. bladder, lung and lower grade glioma (Additional file 2: Fig. S4c). Here, LMNA is linked to central nervous system cancer.