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ArticleInternational journal of hematology2025

Transplantation outcomes of TP53-mutant AML and MDS: a single transplantation center experience of 63 patients.

Yasutaka Masuda, Daichi Sadato, Takashi Toya, Yuzuru Hosoda, Chizuko Hirama, Hiroaki Shimizu, Yuho Najima, Hironori Harada, Yuka Harada, Noriko Doki

Registry-linked trialAbstract read
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In one paragraph

Article in International journal of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07094464 (A Single-Arm, Open-Label Phase I Clinical Study of Selinexor Combined With Azacitidine for Maintenance Therapy in TP53 Mutant AML/MDS Patients Post-Transplant), which is not on this 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.

NCT07094464 phase1active not recruitingnot on this map

A Single-Arm, Open-Label Phase I Clinical Study of Selinexor Combined With Azacitidine for Maintenance Therapy in TP53 Mutant AML/MDS Patients Post-Transplant

TypeinterventionalSponsorDaihong LiuRan2025 to 2028Enrolled20ConditionsTP53-mutated MDS and AML, Allogeneic Hematopoietic Stem Cell TransplantationArmsMaintenance Therapy with Selinexor and Azacitidine
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

10 authors.

Yasutaka MasudaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.
Daichi SadatoClinical Research and Trials Center, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Takashi ToyaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan. tooya-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-7436-972X
Yuzuru HosodaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.
Chizuko HiramaClinical Research and Trials Center, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Hiroaki ShimizuHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.
Yuho NajimaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.
Hironori HaradaHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.
Yuka HaradaClinical Research and Trials Center, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Noriko DokiHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic hematopoietic stem cell transplantation is recommended for TP53-mutant acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) despite a high relapse rate and poor survival. To understand TP53 alterations on a molecular level and define stratified prognostic outcomes following transplantation, we performed targeted next-generation sequencing on 63 patients who underwent transplantation for TP53-mutant AML/MDS and profiled their molecular spectrum. Sixty-eight TP53 mutations were detected, with a median variant allele frequency of 46.8%. Copy number alterations at the TP53 locus were present in 19 patients (30%). Complex karyotype was detected in 48 patients (76%) and was significantly associated with larger TP53 clone size, bi-allelic status, and the absence of concurrent mutations, reflecting the high TP53 mutational burden. Specifically, 51 patients (81%) with the dominant TP53 clone greatly overlapped with those with the complex karyotype. Multivariable overall survival (OS) analysis identified AML (hazard ratio [HR], 2.51; P = 0.03) and TP53 clonal dominance (HR, 5.30; P = 0.002) as prognostic factors. One-year OS was worse in AML with the dominant TP53 clone than in others (13% vs 61%; P < 0.001). Our results underscore the utility of mutational profile-guided risk stratification in patients with TP53-mutant AML/MDS, and could aid in transplantation-related decision-making.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteMutationMyelodysplastic SyndromesTumor Suppressor Protein p53AdolescentAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisTreatment OutcomeYoung AdultTP53 protein, humanTumor Suppressor Protein p53Allogeneic hematopoietic stem cell transplantationClonal dominanceComplex karyotypeMolecular characterizationTP53

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Registered trials

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.