Figure
Multiple parameters in this dataset of 1,095 CLL patients were used to develop a multivariable prognostic model to predict event-free survival in the treatment-naive patients (n=506). Elastic net (ENET) coefficients (darker color indicating higher coefficients) identified variables to be included in the model, with hazard ratios (HR) ranging from <0.25 (dark blue) to 3.00-4.00 (dark pink). Abbreviations: n-CLL: naive-like CLL based on methylation profile, m-CLL: memory-like CLL based on methylation profile, EC: expression cluster (adapted from Figure 4e, Knisbacher BA et al. Nature Genetics 2022;54: 1664).

Multiple parameters in this dataset of 1,095 CLL patients were used to develop a multivariable prognostic model to predict event-free survival in the treatment-naive patients (n=506). Elastic net (ENET) coefficients (darker color indicating higher coefficients) identified variables to be included in the model, with hazard ratios (HR) ranging from <0.25 (dark blue) to 3.00-4.00 (dark pink). Abbreviations: n-CLL: naive-like CLL based on methylation profile, m-CLL: memory-like CLL based on methylation profile, EC: expression cluster (adapted from Figure 4e, Knisbacher BA et al. Nature Genetics 2022;54: 1664).

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