...we performed elastic-net regularized regression to predict PFS, which identified a predictive signature of 6 genes (ATP1B3, MYL2, CNR1, FKBPL, LRRK2-DT, LINC02541). The Kaplan-Meier estimator showed significant stratification of patients according to the signature, where up-regulation corresponded to significantly shorter PFS compared with medium expression and down-regulation (p<0.0001) (Fig. 1B). Furthermore, the signature was significantly associated with depth of response, where up-regulation identified non-responders (less than PR; n=22) vs responders (PR and above; n=23) (p<0.05)...we analyzed a dataset with 20 RNA-seq samples from patients who received Venetoclax monotherapy...here we report that...the identification of a novel six-gene signature that predicts response to the drug in terms of both duration and depth of response.