Evidence map›Paper›PMID 41898823›Full record

ReviewGenes2026

The Exosome Landscape in Acute Myeloid Leukemia: From Molecular Mechanisms to Translational Frontiers.

Elizabeth Vargas-Castellanos, Dayana Barbosa-Lopéz, Jair Figueroa-Emiliani

Abstract readReview
In one paragraph

Review in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Elizabeth Vargas-CastellanosHospital Universitario Mayor-Méderi, Universidad del Rosario, Bogota 111411, Colombia.ORCID 0000-0003-4007-1711
Dayana Barbosa-LopézHospital Universitario Mayor-Méderi, Universidad del Rosario, Bogota 111411, Colombia.
Jair Figueroa-EmilianiHospital Universitario Mayor-Méderi, Universidad del Rosario, Bogota 111411, Colombia.

Funding

Hospital Universitario Mayor, Mederi Project No. CTI 2026-01-03
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a biologically heterogeneous hematologic malignancy arising from the oncogenic transformation of hematopoietic stem and progenitor cells, resulting in clonal expansion and progressive subclonal diversification. Although considerable advances have deepened our understanding of AML pathogenesis, major challenges persist, particularly regarding relapses and therapeutic resistance. In recent years, exosomes-extracellular vesicles of 30-150 nm in diameter of endosomal origin-have emerged as critical mediators of intercellular communication within the AML tumor microenvironment. These vesicles transport a diverse cargo of proteins, metabolites, and nucleic acids, including mRNA, non-coding RNA species, and DNA, which is selectively packaged during their biogenesis. Circulating exosomes have garnered attention as promising liquid biomarkers for diagnosis, prognosis, and monitoring minimal residual disease, while also representing potential therapeutic targets or delivery platforms. Nonetheless, significant knowledge gaps remain regarding the mechanisms governing exosome biogenesis, cargo selection, and the functional impact on leukemia progression and immune modulation. This review focuses on the role of exosomes in acute myeloid leukemia, with an emphasis on the molecular mechanisms underlying their involvement in pathogenesis, tumor communication, and resistance to therapies, as well as their potential as diagnostic biomarkers.

Indexed as

ExosomesLeukemia, Myeloid, AcuteAnimalsBiomarkers, TumorCell CommunicationHumansTumor MicroenvironmentBiomarkers, Tumoracute myeloid leukemiaexosomesimmune responsemiRNAsmolecular

Identifiers

PMID41898823
PMCPMC13025352

What OpenQuestion holds

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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 OpenQuestion graph.