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.
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.
Similar papers in this journal
- Single-cell transcriptomics predicts relapse in MLL-rearranged acute lymphoblastic leukemia in infants 95%
- Combining LSD1 and JAK-STAT inhibition targets Down syndrome-associated myeloid leukemia at its core 94%
- Convalescent plasma improves overall survival in patients with B-cell lymphoid malignancies and COVID-19: a longitudinal cohort and propensity score analysis 94%
Similar papers in this journal
- Quantification of measurable residual disease using duplex sequencing in adults with acute myeloid leukemia 95%
- First-born twin has a higher risk of acute leukemia in a population-based assessment of cancer in twins in California, and lower than anticipated rate of twin concordance 95%
- Inducing synthetic lethality for selective targeting of acute myeloid leukemia cells harboring STAG2 mutations 92%
Similar papers in this journal
- Ex Vivo Drug Responses and Molecular Profiles of 597 Pediatric Acute Lymphoblastic Leukemia Patients 96%
- NOTCH1 fusions in pediatric T-cell lymphoblastic lymphoma: a high-risk subgroup with CCL17 (TARC) levels as diagnostic biomarker 95%
- Impact of clonal architecture on clinical course and prognosis in patients with myeloproliferative neoplasms 92%
Similar papers in this journal
- Monosomy 7/del(7q) Cause Sensitivity to Inhibitors of Nicotinamide Phosphoribosyltransferase in Acute Myeloid Leukemia 95%
- Modeling IKZF1 lesions in B-ALL reveals distinct chemosensitivity patterns and potential therapeutic vulnerabilities 94%
- Resistance mechanism to Notch inhibition and combination therapy in human T cell acute lymphoblastic leukemia 94%
Similar papers in this journal
- Clinicopathologic Correlates and Natural History of Atypical Chronic Myeloid Leukemia 97%
- Mutational and transcriptional landscape of pediatric B-cell precursor lymphoblastic lymphoma 96%
- BRG1/BRM inhibitor targets AML stem cells and exerts superior preclinical efficacy combined with BET or Menin inhibitor 92%
"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.