Evidence map›Paper›PMID 41280924›Full record

ReviewFrontiers in immunology2025

Precision medicine with car cells in acute myeloid leukemia: where are we?

Larissa C Zanetti, Victoria Tomaz, Ingrid Ferreira de Souza, Paulo V Campregher, Nelson Hamerschlak, Lucila N Kerbauy

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Larissa C Zanetti *Hospital Israelita Albert Einstein, São Paulo, Brazil.
Victoria Tomaz *Hospital Israelita Albert Einstein, São Paulo, Brazil.
Ingrid Ferreira de SouzaHospital Israelita Albert Einstein, São Paulo, Brazil.
Paulo V CampregherHospital Israelita Albert Einstein, São Paulo, Brazil.
Nelson HamerschlakHospital Israelita Albert Einstein, São Paulo, Brazil.
Lucila N KerbauyHospital Israelita Albert Einstein, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of chimeric antigen receptor (CAR) therapies with precision medicine holds potential to impact the treatment landscape for acute myeloid leukemia (AML). Genetic mutations play a role in the efficacy of CAR-T and CAR-NK cells, influencing their crucial role in determining the effectiveness of these cells, as well as their proliferation, persistence, resistance, and safety. This review examines how mutations in FLT3, DNMT3A, NPM1, TP53, TET2, gene fusions involving RUNX1 and KMT2A and other key genes modulate CAR-based immunotherapies, highlighting both vulnerabilities and resistance mechanisms. Recent findings demonstrate that mutations in genes such as DNMT3A and NPM1 enhance antigen expression, thereby improving CAR targeting. In contrast, mutations in TP53 drive immune escape and resistance to therapy. Understanding these mutation-specific effects is essential for tailoring CAR therapies to individual patients, optimizing efficacy while minimizing toxicity. By leveraging genomic profiling and personalized engineering approaches, CAR therapies can be refined to overcome resistance and enhance precision in AML treatment. Future research should focus on integrating multiomic data to develop mutation-adapted CAR strategies, ensuring that patients receive the most effective and personalized immunotherapy.

Indexed as

Immunotherapy, AdoptiveLeukemia, Myeloid, AcutePrecision MedicineReceptors, Chimeric AntigenAnimalsHumansMutationNucleophosminNPM1 protein, humanNucleophosminReceptors, Chimeric AntigenAMLCAR-Tgenetic mutationsimmunotherapyprecision medicine

Identifiers

PMID41280924
PMCPMC12631394

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.