Extended Data Fig. 11: Patient Survival and Calibration of Nomogram. | Nature

Extended Data Fig. 11: Patient Survival and Calibration of Nomogram.

From: Concurrent loss of the Y chromosome in cancer and T cells impacts outcome

Extended Data Fig. 11

a. Kaplan-Meier Disease-Specific Survival (DSS) curves for TCGA samples with high or low signature scores for LOYSCR and WTYSCR CD4+ T cells (two leftmost plots), for LOYSCR and WTYSCR CD8+ T cells (two middle plots), and for LOYSCR and WTYSCR epithelial cells (two rightmost plots). Significance was assessed based on univariate Cox Proportional Hazard (coxPH) model. b. Kaplan-Meier curves of overall survival (OS) for liver cancer scRNA-seq dataset samples stratified by the proportion of LOYSCR CD4+ T cells in immune cells(left), LOYSCR CD8+ T cells in immune cells (middle), and LOYSCR cells in tumor cells (right). P-values calculated using univariate coxPH model. c. Kaplan-Meier survival curves of OS for samples in (b) stratified by the combinatorial proportions of LOYSCR tumor cells and LOYSCR CD4+ T cells, and LOYSCR tumor cells and LOYSCR CD8+ T cells. P-values for pairwise comparisons between each combinatorial group are also displayed below Kaplan-Meier curves, calculated using log-rank tests. d. Calibration plots used to assess the accuracy of the OS probabilities predicted by the nomogram (Fig. 5h) at 2,5, and 8 years compared to the observed OS rates (%). Each colored dot represents a group of subjects randomly selected from the whole cohort. Each plot includes the total number of subjects (n = 4,010), the number of events (1,203), and 500 subjects per plotted group.

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