Back

Hyperleukocytosis and outcomes in pediatric B-cell acute lymphoblastic leukemia: A report from the REDIAL Consortium

Kim, J. J.; Brown, A. L.; Gramatges, M.; Hoang, T.; Sok, P.; Garcia-Morales, V.; Taylor, O. A.; Huynh, V.; Ludwig, K.; Klesse, L. J.; Heym, K. M.; Griffin, T.; Erana, R.; Bernini, J. C.; Bernhardt, M. B.; Lupo, P. J.; Rabin, K. R.; Scheurer, M. E.; Zobeck, M.

2026-06-19 oncology
10.64898/2026.06.16.26355715 medRxiv
Show abstract

Hyperleukocytosis (white blood cell [WBC] count >100 000/uL) at diagnosis is an important prognostic risk factor in pediatric acute lymphoblastic leukemia (ALL), though its significance with contemporary therapy is unclear. We analyzed 1 826 pediatric ALL patients from a multi-institution cohort to determine whether hyperleukocytosis independently predicts outcomes using multivariable Cox proportional hazard modeling. Hyperleukocytosis occurred in 211 patients (12%), with 121 having B-ALL, and showed no prognostic significance in T-ALL patients. In B-ALL, 5-year event-free survival (EFS) was 65% versus 89% for non-hyperleukocytosis patients, and overall survival (OS) was 78% versus 93%. After adjustment for age, cytogenetic risk, central nervous system disease status, and treatment site, hyperleukocytosis remained an independent predictor of end-of-induction minimal residual disease (MRD) positivity (odds ratio 2.53 [95% confidence interval [CI]: 1.71-3.94; p<0.001]), inferior EFS (hazard ratio [HR] 2.44; 95% CI: 1.77-3.38; p<0.001) and inferior OS (HR 2.00; 95% CI: 1.29-3.12; p=0.002). A continuous dose-response relationship was observed between WBC count and these outcomes. Survival associations persisted across all cytogenetic risk categories and MRD strata. Despite risk-adapted therapy with treatment intensification for high-risk features, hyperleukocytosis identifies an aggressive B-ALL phenotype with persistently inferior outcomes, suggesting these patients may benefit from novel therapeutic approaches.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.