Evidence map›Paper›PMID 42645426›Full record

ReviewAntibodies (Basel, Switzerland)2026

Bispecific Antibodies for Acute Myeloid Leukemia: From Bone Marrow Immune Niche to Clinical Translation.

Antonella Bruzzese, Enrica Antonia Martino, Santino Caserta, Maria Eugenia Alvaro, Nicola Amodio, Eugenio Lucia, Virginia Olivito, Caterina Labanca, Francesco Mendicino, Fortunato Morabito and 2 more

Abstract readReview
In one paragraph

Review in Antibodies (Basel, Switzerland), 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

12 authors.

Antonella BruzzeseHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Enrica Antonia MartinoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.ORCID 0000-0002-8504-3231
Santino CasertaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.ORCID 0000-0002-0698-1781
Maria Eugenia AlvaroHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Nicola AmodioDepartment of Experimental and Clinical Medicine, University of Catanzaro, 88100 Catanzaro, Italy.
Eugenio LuciaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Virginia OlivitoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Caterina LabancaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Francesco MendicinoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.ORCID 0000-0001-6339-632X
Fortunato MorabitoDepartment of Pharmacy, Health and Nutritional Science, University of Calabria, 87036 Rende, Italy.ORCID 0000-0002-2585-7073
Ernesto VignaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.
Massimo GentileHematology Unit, Department of Onco-Hematology, AO of Cosenza, Viale della Repubblica snc, 87100 Cosenza, Italy.ORCID 0000-0002-5256-0726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy characterized by the clonal expansion of myeloid blasts and the persistence of leukemic stem cells (LSCs) within a profoundly remodeled bone marrow (BM) microenvironment. Despite advances in molecular stratification and the introduction of targeted agents, long-term outcomes remain unsatisfactory, particularly in older and high-risk patients. Increasing evidence indicates that leukemogenesis and treatment resistance are critically sustained by a permissive immune milieu, in which LSCs, myeloid-derived suppressor cells, leukemia-associated macrophages, and dysfunctional T and NK cells shape an immunosuppressive "leukemic niche." This evolving understanding has renewed interest in immune-based strategies capable of restoring effective antitumor immunity. Bispecific antibodies (bsAbs) are engineered molecules designed to engage AML-associated antigens while simultaneously recruiting and activating immune effector cells, most commonly T cells or NK cells. By promoting immune synapse formation independently of major histocompatibility complex expression and conventional co-stimulatory pathways, bsAbs can overcome several mechanisms of immune escape. In this review, we summarize the biological rationale for immunotherapy in AML, with a focus on the role of the BM microenvironment and immune dysregulation. We then discuss the structural and functional properties of IgG-like and non-IgG-like bsAbs, key antigenic targets such as CD33, CD123, CD70 and others, and the main T-cell- and NK-cell-engaging platforms under clinical investigation. Finally, we highlight emerging clinical data, principal toxicities, and the challenges of integrating bsAbs into existing treatment algorithms, including combinations with hypomethylating agents, BCL-2 inhibitors, and allogeneic stem cell transplantation. A deeper understanding of AML immune biology and antigen expression patterns will be essential to optimize bsAb design, maximize therapeutic benefit, and minimize on-target off-tumor toxicity.

Indexed as

acute myeloid leukemiabispecific antibodiesbone marrow microenvironmentimmunotherapyleukemic stem cells

Identifiers

PMID42645426
PMCPMC13510004

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.