Evidence map›Paper›PMID 42367083›Full record

ReviewTechnology in cancer research & treatment

Proteomics in Acute Myeloid Leukemia: Current Applications in Precision Medicine and Targeted Immunotherapy.

Eva De Backer, Florian Van Oers, Zwi Berneman, Sébastien Anguille

Abstract readReview
In one paragraph

Review in Technology in cancer research & treatment. 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

4 authors.

Eva De BackerLaboratory of Experimental Hematology, Vaccine & Infectious Disease Institute, Faculty of Medicine & Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-5053-1315
Florian Van OersLaboratory of Experimental Hematology, Vaccine & Infectious Disease Institute, Faculty of Medicine & Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0009-0001-5176-3214
Zwi BernemanLaboratory of Experimental Hematology, Vaccine & Infectious Disease Institute, Faculty of Medicine & Health Sciences, University of Antwerp, Antwerp, Belgium.
Sébastien AnguilleLaboratory of Experimental Hematology, Vaccine & Infectious Disease Institute, Faculty of Medicine & Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-1951-6715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a heterogeneous and aggressive malignancy with limited therapeutic options and high relapse rates. Despite advances in genomic profiling, many genetic aberrations remain untargetable, and current risk stratification models often fail to predict treatment responses. Proteomics offers a complementary approach by directly measuring protein abundance, post-translational modifications, and protein-protein interactions, providing mechanistic insights into drug resistance, disease progression, and therapeutic vulnerabilities. In this review, we explore the emerging role of proteomics in AML, focusing on its application in biomarker discovery, prediction of drug responses, and identification of novel therapeutic targets. Special attention is given to antigen discovery for immunotherapy, where surface and immunopeptidomics enable the identification of AML-specific antigens and neoepitopes. These insights are critical for the development of antigen-targeted therapies, including chimeric antigen receptor (CAR) and T cell receptor (TCR)-based immunotherapies. Integrating proteomics into a multiomics framework could provide actionable insights for guiding precision medicine and improving AML outcomes.

Indexed as

ImmunotherapyLeukemia, Myeloid, AcutePrecision MedicineProteomicsBiomarkers, TumorHumansMolecular Targeted TherapyMultiomicsBiomarkers, Tumoracute myeloid leukemiaimmunotherapymulti-omicsprecision medicineproteomics

Identifiers

PMID42367083
PMCPMC13319607

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.