Integrating bulk RNA-seq and scRNA-seq data to explore diverse cell death patterns and develop a programmed cell death-related relapse prediction model in pediatric B-ALL.

ABSTRACT: Acute B-lymphoblastic leukemia (B-ALL) is a hematologic malignancy with diverse mechanisms of PCD influencing its progression. This study aimed to identify PCD-related biomarkers and develop a predictive model for relapse in pediatric B-ALL patients. Initially, we examined the activity of 16 PCD patterns in B-ALL patients using scRNA-seq. Following this, we employed both univariate and multivariate Cox regression analyses to identify relapse-related PCD patterns and constructed a relapse prediction model comprising seven key PCD-related genes: Bcl-2-interacting killer (BIK), translocator protein (TSPO), BCL2L2, PIP4K2C, mixed-lineage kinase-like (MLKL), STAT2, and WW domain-containing oxidoreductase (WWOX). Based on the optimal cut-off value derived from the cell death index(CDI) model, pa

SUBMITTER: Luo Y 

PROVIDER: S-EPMC11829959 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature