Authors
NJ DelRocco, ML Loh, MJ Borowitz, S Gupta, KR Rabin, P Zweidler-McKay, KW Maloney, LA Mattano, E Larsen, A Angiolillo, RJ Schore, MJ Burke, WL Salzer, BL Wood, AJ Carroll, Nyla A Heerema, SC Reshmi, Julie M Gastier-Foster, R Harvey, IM Chen, KG Roberts, CG Mullighan, C Willman, N Winick, WL Carroll, RE Rau, DT Teachey, SP Hunger, EA Raetz, M Devidas, JA Kairalla
Publication date
2024/4
Journal
Leukemia
Volume
38
Issue
4
Pages
720-728
Publisher
Nature Publishing Group UK
Description
Current strategies to treat pediatric acute lymphoblastic leukemia rely on risk stratification algorithms using categorical data. We investigated whether using continuous variables assigned different weights would improve risk stratification. We developed and validated a multivariable Cox model for relapse-free survival (RFS) using information from 21199 patients. We constructed risk groups by identifying cutoffs of the COG Prognostic Index (PICOG) that maximized discrimination of the predictive model. Patients with higher PICOG have higher predicted relapse risk. The PICOG reliably discriminates patients with low vs. high relapse risk. For those with moderate relapse risk using current COG risk classification, the PICOG identifies subgroups with varying 5-year RFS. Among current COG standard-risk average patients, PICOG identifies low and intermediate risk groups with 96% and 90% RFS, respectively. Similarly …
Total citations
20242
Scholar articles
NJ DelRocco, ML Loh, MJ Borowitz, S Gupta, KR Rabin… - Leukemia, 2024