Fig. 6

Dysregulation of RP expression in cancers is linked to survival. a Heatmap showing the dysregulation scores of individual RP genes in cancers. There are three prominent clusters of RPs, corresponding (from left to right) to consistently negative (blue line), variable, and consistently positive (red line) dysregulation score across different cancers. RPs reported to be involved in p53 regulation are marked with a dot. Several cancers also exhibit dysregulation of specific RP genes. COAD colon adenocarcinoma, READ rectum adenocarcinoma, PRAD prostate adenocarcinoma, BLCA bladder urothelial carcinoma, THCA thyroid carcinoma, KICH kidney chromophobe, KIRP kidney renal papillary cell carcinoma, KIRC kidney renal clear cell carcinoma, LIHC liver hepatocellular carcinoma, CHOL cholangiocarcinoma, UCEC, uterine corpus endometrial carcinoma, BRCA breast invasive carcinoma, HNSC head and neck squamous cell carcinoma, LUAD lung adenocarcinoma, LUSC lung squamous cell carcinoma. b RP genes showing negative (blue line) and positive (red line) dysregulation score exhibit a correspondingly high degree of copy number variation (CNV) deletion and gain across cancers, respectively. Error bars depict the standard error of the mean. c, d RP average dysregulation scores across cancers are significantly correlated with both the average frequency of copy number gain (c) and deletion (d). e, f Kaplan-Meier relapse-free survival (RFS) plots for three RPs identified as dysregulated (e) or not dysregulated (f) in human breast carcinoma. g Kaplan-Meier RFS plots for the combined signature of the three RPs identified as dysregulated in breast cancer (left) and the gene that is most predictive for breast cancer RFS: MKI67 (right). Hazard ratios (HR) and respective 95% confidence interval as well as logrank P values are shown for each survival analysis