Evidence map›Paper›PMID 41809820›Full record

ReviewFrontiers in oncology2026

TP53-mutated myelodysplastic syndromes and acute myeloid leukemia: a comprehensive overview of targeted approaches.

Shweta Deshpande, Wing Fai Li, Junmin Song, Mark Forsberg, Claudio Cerchione, Giovanni Martinelli, Marina Konopleva

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Mutational Landscape of Acute Myeloid Leukemia and Its Impact.International journal of molecular sciences · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shweta DeshpandeDepartment of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY, United States.
Wing Fai LiDepartment of Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.
Junmin SongDepartment of Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, NY, United States.
Mark ForsbergDepartment of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY, United States.
Claudio CerchioneDepartment of Hematology and Oncology, IRST IRCCS, Meldola, Italy.
Giovanni MartinelliDepartment of Medical and Surgical Sciences, Università di Bologna, Bologna, Italy.
Marina KonoplevaDepartment of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TP53-mutated acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) represent a biologically and clinically distinct subset of myeloid malignancies characterized by poor prognosis, resistance to standard therapies, and high rates of relapse. TP53 mutations, particularly biallelic are frequently associated with complex karyotypes and confer profound chemoresistance. Although hypomethylating agents and venetoclax-based combinations provide modest benefit, durable remissions remain rare. Novel therapeutic strategies targeting mutant p53, restoring wild-type function, or exploiting synthetic lethal pathways are under active investigation. This review aims to summarize current knowledge on the biology of TP53, prognostic implications, and therapeutic landscape of TP53-mutated AML/MDS, ongoing and past clinical trials in TP53-mutated AML/MDS patients, emphasizing the need for precision-guided, multimodal approaches to improve outcomes in this high-risk group.

Indexed as

acute myeloid leukemiaallogeneic stem cell transplantationhypomethylating agentsmyelodysplastic syndromesp53TP53 mutationvenetoclax

Identifiers

PMID41809820
PMCPMC12968001

What OpenQuestion holds

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Registered trials

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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.