Evidence map›Paper›PMID 40931047›Full record

ArticleLeukemia2025

Longitudinal single-cell analysis reveals treatment-resistant stem and mast cells with potential treatments for pediatric AML.

Denis Ohlstrom, Mojtaba Bakhtiari, Hope Mumme, Marina Michaud, Alejandro De Janon Gutierrez, Deborah DeRyckere, Katherine E Ferguson, Frank Chien, William Pilcher, Sarthak Satpathy and 4 more

Erratum issuedAbstract read
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In one paragraph

Article in Leukemia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Denis OhlstromCoulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Mojtaba BakhtiariAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.
Hope MummeDepartment of Biomedical Informatics, Emory University, Atlanta, GA, USA.
Marina MichaudDepartment of Biomedical Informatics, Emory University, Atlanta, GA, USA.
Alejandro De Janon GutierrezCoulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-1693-2913
Deborah DeRyckereAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.ORCID 0000-0002-7457-9006
Katherine E FergusonCoulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Frank ChienDepartment of Pediatrics, Emory University, Atlanta, GA, USA.
William PilcherCoulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Sarthak SatpathyDepartment of Biomedical Informatics, Emory University, Atlanta, GA, USA.
Sean JordanDepartment of Biomedical Informatics, Emory University, Atlanta, GA, USA.ORCID 0009-0003-2639-6269
Douglas GrahamAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.ORCID 0000-0002-6201-6900
Swati BhasinAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.ORCID 0000-0001-8661-1459
Manoj BhasinAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA. manoj.bhasin@emory.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric acute myeloid leukemia (pAML) is a heterogeneous malignancy driven by diverse cytogenetic mutations. While identification of cytogenetic lesions improved risk stratification, prognostication remains inadequate with 30% of standard-risk patients experiencing relapse within 5 years. To deeply characterize pAML heterogeneity and identify poor outcome-associated blast cell profiles, we performed an analysis on 708,285 cells from 164 bone marrow biopsies of 95 patients and 11 healthy controls. The longitudinal analysis on cell abundances at the time of disease diagnosis, end of induction, and relapse identified treatment resistant stem-like blast cells specific to RUNX1::RUNX1T1, FLT3-ITD, and CBFB::MYH11 patients that are associated with poor outcomes. Treatment resistant blast cells from RUNX1::RUNX1T1 were found to associate with T cell exhaustion, while those from FLT-ITD utilized enriched antioxidant metabolism to persist through treatment. Interestingly, the analysis also identified novel mast cell-like pAML associated with treatment resistance and poor outcomes. Deconvolution of ex vivo treatment data and subsequent in vitro validation identified bortezomib (RUNX1), ponatinib, and venetoclax (FLT3) as specifically potent against treatment resistant blasts from the respective cytogenetic groups. Our findings indicate immature and mature pAML subtypes are promising biomarkers for enhanced patient risk stratification and identifies targeted agents to increase their clearance after treatment.

Indexed as

Drug Resistance, NeoplasmLeukemia, Myeloid, AcuteMast CellsNeoplastic Stem CellsSingle-Cell AnalysisAdolescentBiomarkers, TumorChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleMutationPrognosisBiomarkers, Tumor

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.