Evidence map›Paper›PMID 41827722›Full record

ArticleCancers2026

Single-Cell Multi-Omics Identifies Measurable Residual Disease Targets Among Myelodysplasia- and Clonal Hematopoiesis-Related Genes in Acute Myeloid Leukemia.

Emma Frasez Sørensen, Caroline Arvé, Jonas K Gronlund, Dorte Melsvik, Johanne Amalie Pold, Michael Knudsen, Kasper Thorsen, Anni Aggerholm, Hans Beier Ommen

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emma Frasez SørensenDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0009-0003-4588-5607
Caroline ArvéDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0009-0000-2011-3414
Jonas K GronlundDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0009-0008-1195-907X
Dorte MelsvikDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.
Johanne Amalie PoldDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0009-0000-2363-9892
Michael KnudsenDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0000-0002-6294-2517
Kasper ThorsenDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0000-0003-0195-4685
Anni AggerholmDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.
Hans Beier OmmenDepartment of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.ORCID 0000-0001-7628-8694

Funding

A.P. Møller Fonden NAKaren Elise Jensens Fond NA
6 · The paper itself

Abstract

backgroundIn acute myeloid leukemia (AML), the most sensitive measurable residual disease (MRD) methods are single-gene approaches, but these are applicable only in ~60% of AML cases.

methodsWe applied multi-omics single-cell analysis on diagnostic and first remission samples to identify leukemia-specific molecular markers for subsequent MRD monitoring in six AML patients lacking AML-defining variants.

resultsFive selection criteria were defined to identify suitable MRD markers. Markers of primordial leukemic clones were identified by combining data from single-cell sequencing and immunophenotyping. Specific markers suitable for use in MRD follow-up were identified in 6/6 patients, in some cases in myelodysplasia-related genes and clonal hematopoiesis-related genes usually not recommended for use in MRD determinations. Patient-specific ddPCR (limits of detection: 0.06-0.0011%) or EC-NGS assays correlated with therapeutic responses: 0/4 markers displayed molecular relapses in three non-relapsing patients, contrary to 4/4 markers of three relapsing patients. Of these, 3/4 and 1/4 markers detected molecular relapses earlier than or simultaneous with conventional methods, respectively (-115 to -338 days).

conclusionsOur results demonstrate that single-cell subclonal mapping at diagnosis and during first remission enables selection of reliable MRD targets for personalized disease surveillance in patients lacking conventional MRD markers.

Indexed as

acute myeloid leukemiameasurable residual diseasemolecular biomarkerssingle-cell multi-omics

Identifiers

PMID41827722
PMCPMC12984621

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