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December 8, 2025Blood

Multi-omic analysis of early minimal residual disease identifies functional and transcriptomic signatures of treatment resistance in pediatric B-cell acute lymphoblastic leukemia

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Authors

CBCristina BugarinKDKara L. Davis

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Overview

Single-cell analyses show distinct transcriptomic profiles and metabolic pathways linked to treatment resistance in pediatric B-ALL, suggesting critical markers for intervention.

Key Points

  • Metabolic pathways related to nucleotide metabolism were enriched in resistant cells, suggesting a unique profile.
  • Single-cell analyses identified transcriptional signatures that are associated with treatment resistance in pediatric B-ALL.
  • Random Forest model effectively predicted relapse-associated cells with significant probability of treatment failure across clinical risk groups.
  • Integration of high-throughput CyTOF and CITE-seq data enhances understanding of functional phenotypes behind treatment resistance.

Cite This Study

Bugarin et al. (2025) studied this question.

synapsesocial.com/papers/69362f6e4fa91c937236e0d5https://doi.org/10.1182/blood-2025-334
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