The efficacy of distinct CAR T-cell products is differentially impacted by preleukapheresis ALC. Response probabilities from a multivariable logistic regression model are shown as a function of the preleukapheresis ALC. Shaded areas are 95% CIs of the probability estimates. Estimates computed from a logistic regression model included the following predictors: CAR T-cell product type, preleukapheresis LDH, preleukapheresis largest lesion diameter, age, HCT-CI, preleukapheresis ALC, and the following interaction terms: CAR T-cell product*preleukapheresis ALC, CAR T-cell product*preleukapheresis LDH, CAR T-cell product*preleukapheresis largest lesion diameter, CAR T-cell product*age, and CAR T-cell product*HCT-CI. All probabilities are adjusted to the median values of the remaining covariates included in the model.