Evidence map›Paper›PMID 40429716›Full record

ReviewInternational journal of molecular sciences2025

Monoclonal Antibodies Against Myeloid Leukemia Cells: Current Knowledge and Future Directions.

Daniela Damiani, Mario Tiribelli

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Special Issue: Antibody Therapy for Hematologic Malignancies.International journal of molecular sciences · 2025
    Article
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

2 authors.

Daniela DamianiDivision of Hematology and Stem Cell Transplantation, Udine University Hospital, 33100 Udine, Italy.ORCID 0000-0002-1663-4468
Mario TiribelliDivision of Hematology and Stem Cell Transplantation, Udine University Hospital, 33100 Udine, Italy.ORCID 0000-0001-9449-2621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies targeting specific cell surface antigens have emerged as a promising therapeutic approach for acute myeloid leukemia (AML), thus widening the treatment landscape of this heinous disease. These antibodies have been designed to selectively target and eliminate leukemic cells while limiting damage to the normal hematopoietic counterpart. Among the potential targets on AML cells, CD33, CD123, and CD47 have shown the major potential in preclinical and clinical trials. Additionally, conjugation of monoclonal antibodies with cytotoxic agents has further enhanced their therapeutic efficacy. Nonetheless, challenges such as antigen heterogeneity, resistance mechanisms, and the immunosuppressive tumor microenvironment remain significant barriers to achieving durable remission in AML patients. This review explores the mechanisms of action, current clinical developments, and ongoing trials into the role of monoclonal antibodies in AML, highlighting their potential to improve clinical outcomes when used alone or in combination with conventional therapies, making them thus able to become, in the near future, a cornerstone in the treatment of AML.

Indexed as

Antibodies, MonoclonalAntineoplastic Agents, ImmunologicalLeukemia, Myeloid, AcuteAnimalsCD47 AntigenHumansSialic Acid Binding Ig-like Lectin 3Tumor MicroenvironmentAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalCD47 AntigenSialic Acid Binding Ig-like Lectin 3acute myeloid leukemiachemotherapyleukemia stem cellsmonoclonal antibodiesprognosisrelapse

Identifiers

PMID40429716
PMCPMC12111345

What OpenQuestion holds

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LicenceCC BY
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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.