Single-cell panleukemia signatures of HSPC-like blasts predict drug response and clinical outcome

11Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The critical role of leukemia-initiating cells as a therapy-resistant population in myeloid leukemia is well established. However, the molecular signatures of such cells in acute lymphoblastic leukemia remain underexplored. Moreover, their role in therapy response and patient prognosis is yet to be systematically investigated across various types of acute leukemia. We used single-cell multiomics to analyze diagnostic specimens from 96 pediatric patients with acute lymphoblastic, myeloid, and lineage-ambiguous leukemias. Through the integration of single-cell multiomics with extensive bulk RNA sequencing and clinical data sets, we uncovered a prevalent, chemotherapy-resistant subpopulation that resembles hematopoietic stem and progenitor cells (HSPC-like) and is associated with poor clinical outcomes across all subtypes investigated. We identified a core transcriptional regulatory network (TRN) in HSPC-like blasts that is combinatorially controlled by HOXA/AP1/CEBPA. This TRN signature can predict chemotherapy response and long-term clinical outcomes. We identified shared potential therapeutic targets against HSPC-like blasts, including FLT3, BCL2, and the PI3K pathway. Our study provides a framework for linking intratumoral heterogeneity with therapy response, patient outcomes, and the discovery of new therapeutic targets for pediatric acute leukemias.

Cite

CITATION STYLE

APA

Chen, C., Xu, J., Sussman, J. H., Vincent, T., Tumulty, J. S., Yoshimura, S., … Tan, K. (2025). Single-cell panleukemia signatures of HSPC-like blasts predict drug response and clinical outcome. Blood, 145(23), 2685–2700. https://doi.org/10.1182/blood.2024027270

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free