Evidence map›Paper›PMID 41745087›Full record

ReviewDiseases (Basel, Switzerland)2026

Decoding Leukemic Stem Cells in AML: From Identification to Targeted Eradication.

Elisavet Apostolidou, Vasileios Georgoulis, Dimitrios Leonardos, Leonidas Benetatos, Eleni Kapsali, Eleftheria Hatzimichael

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 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

6 authors.

Elisavet ApostolidouDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.ORCID 0000-0003-3432-4209
Vasileios GeorgoulisDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.
Dimitrios LeonardosDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.ORCID 0009-0008-6649-0491
Leonidas BenetatosDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.
Eleni KapsaliDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.
Eleftheria HatzimichaelDepartment of Haematology, University Hospital of Ioannina, 45 500 Ioannina, Greece.ORCID 0000-0002-4408-5646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) continues to pose significant therapeutic challenges, with high relapse rates driven largely by leukemic stem cells (LSCs), a rare, therapy-resistant population with self-renewal capacity, niche adaptation, and the ability to re-initiate disease. In this state-of-the-art review, we synthesize recent advances in LSC biology, addressing (i) how LSCs differ functionally and phenotypically from normal hematopoietic stem cells (HSCs), (ii) practical approaches for LSC quantification using multiparameter flow cytometry and LSC-enriched marker panels, (iii) the dysregulated signaling, metabolic and epigenetic programs that enable LSC persistence under chemotherapy and contribute to measurable residual disease, and (iv) current therapeutic strategies targeting LSC eradication, including antibody-based therapies, apoptosis and metabolic inhibitors, and emerging epigenetic agents. We also examine the key translational barriers, particularly antigen overlap with normal progenitors, microenvironmental protection, and the need for assay harmonization, while proposing a practical framework for integrating LSC assessment into risk stratification and therapeutic development.

Indexed as

acute myeloid leukemiaimmunophenotypeleukemic stem cellstargeted treatment

Identifiers

PMID41745087
PMCPMC12939826

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.