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. Author manuscript; available in PMC: 2023 Apr 10.
Published in final edited form as: Nat Genet. 2022 Aug 4;54(11):1664–1674. doi: 10.1038/s41588-022-01140-w

Figure 4: Expression clusters and integrated analysis predicts clinical outcome.

Figure 4:

a-b. Kaplan Meier analysis of the impact of expression clusters on (a) failure free survival (FFS) and (b) overall survival (OS) probabilities in 603 treatment-naive samples (log-rank test).

c. Kaplan Meier analysis assessing the difference in FFS probability between samples with concordant IGHV status and ECs (e.g., M-CLLs in EC-m clusters) versus those that are discordant (e.g., M-CLLs in EC-u clusters). M-CLLs - left; U-CLLs - right. Log-rank test (two-sided; unadjusted p-values).

d-e. Genetic, epigenetic, and transcriptomic features associated with (d) FFS and (e) OS in treatment-naive samples (n=506). Events ranked by elastic net (ENET) coefficients, which identifies variables to be included in the model, shrinking coefficients to 0 when excluded. Heatmap denotes hazard ratios (HR) for ENET and univariate Cox regressions (see Supplementary Table 14). Continuous variable - Φ (epiCMIT).