Enhanced Risk Stratification for Children and Young Adults with B-Cell Acute Lymphoblastic Leukemia: A Children's Oncology Group Report.

ABSTRACT: 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 (PI_COG) that maximized discrimination of the predictive model. Patients with higher PI_COG have higher predicted relapse risk. The PI_COG reliably discriminates patients with low vs. high relapse risk. For those with moderate relapse risk using current COG risk classification, the PI_COG identifies subgroups with

SUBMITTER: DelRocco NJ 

PROVIDER: S-EPMC10997503 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature