Evidence map›Paper›PMID 33001991›Full record

ArticlePloS one2020

Impact of TP53 mutations in acute myeloid leukemia patients treated with azacitidine.

Pierre Bories, Naïs Prade, Stéphanie Lagarde, Bastien Cabarrou, Laetitia Largeaud, Julien Plenecassagnes, Isabelle Luquet, Véronique De Mas, Thomas Filleron, Manon Cassou and 6 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Molecular and Clinical Insights intoInternational journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. The Prognostic Value of TP53 Mutations in Adult Acute Myeloid Leukemia: A Meta-Analysis.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Article
  13. Novel investigational approaches for high-risk genetic subsets of AML: TP53, KMT2A, FLT3.Hematology. American Society of Hematology. Education Program · 2022
    Article
  14. Activating STING1-dependent immune signaling inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Review
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

16 authors.

Pierre BoriesLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.ORCID 0000-0002-2252-0395
Naïs PradeLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Stéphanie LagardeLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Bastien CabarrouUnité de biostatistique, Institut Claudius Régaud, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Laetitia LargeaudLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Julien PlenecassagnesUnité de bioinformatique, Institut Claudius Régaud, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Isabelle LuquetLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Véronique De MasLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Thomas FilleronUnité de biostatistique, Institut Claudius Régaud, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Manon CassouUnité de bioinformatique, Institut Claudius Régaud, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Audrey SarryService d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Luc-Matthieu ForneckerService d'Onco-Hématologie, Centre Hospitalier Universitaire de Strasbourg, Strasbourg, France.
Célestine SimandService d'Onco-Hématologie, Centre Hospitalier Universitaire de Strasbourg, Strasbourg, France.
Sarah BertoliService d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Christian RecherService d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Eric DelabesseLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypomethylating agents are a classical frontline low-intensity therapy for older patients with acute myeloid leukemia. Recently, TP53 gene mutations have been described as a potential predictive biomarker of better outcome in patients treated with a ten-day decitabine regimen., However, functional characteristics of TP53 mutant are heterogeneous, as reflected in multiple functional TP53 classifications and their impact in patients treated with azacitidine is less clear. We analyzed the therapeutic course and outcome of 279 patients treated with azacitidine between 2007 and 2016, prospectively enrolled in our regional healthcare network. By screening 224 of them, we detected TP53 mutations in 55 patients (24.6%), including 53 patients (96.4%) harboring high-risk cytogenetics. The identification of any TP53 mutation was associated with worse overall survival but not with response to azacitidine in the whole cohort and in the subgroup of patients with adverse karyotype. Stratification of patients according to three recent validated functional classifications did not allow the identification of TP53 mutated patients who could benefit from azacitidine. Systematic TP53 mutant classification will deserve further exploration in the setting of patients treated with conventional therapy and in the emerging field of therapies targeting TP53 pathway.

Indexed as

Genes, p53MutationAgedAged, 80 and overAntimetabolites, AntineoplasticAzacitidineBiomarkers, TumorFemaleFranceHumansKaplan-Meier EstimateLeukemia, Myeloid, AcuteMaleMiddle AgedPrognosisProspective StudiesAntimetabolites, AntineoplasticAzacitidineBiomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33001991
PMCPMC7529302

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.