Evidence map›Paper›PMID 30466751›Full record

ReviewBest practice & research. Clinical haematology2018

Patterns of mutations in TP53 mutated AML.

John S Welch

Abstract readReview
In one paragraph

Review in Best practice & research. Clinical haematology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Pandora's Box of AML: HowBiomedicines · 2025
    Review
  8. Article
  9. High TCTA expression is an adverse prognostic biomarker in acute myeloid leukemia.Cancer biomarkers : section A of Disease markers · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Decitabine salvage forHaematologica · 2022
    Article
  18. Article
  19. Article
  20. 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

1 author.

John S WelchDepartment of Internal Medicine, Washington University, 660 Euclid Ave, Box 8007, St. Louis, MO 63110, USA. Electronic address: jwelch@wustl.edu.

Funding

Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LEY, TIMOTHY J. · 2003 to 2023
$58.8M
Targeting the Bone Marrow Microenvironment In Acute Lymphocytic LeukemiaP50CA171963 · NCI · WASHINGTON UNIVERSITY · PI TODD A FEHNIGER · 2013 to 2026
$31.6M
RETINOIDS IN HEMATOPOIESISR01HL128447 · NHLBI · WASHINGTON UNIVERSITY · PI WELCH, JOHN S · 2016 to 2020
$1.9M
NCI NIH HHS P01 CA101937NCI NIH HHS P50 CA171963NHLBI NIH HHS R01 HL128447
6 · The paper itself

Abstract

TP53 mutated acute myeloid leukemia (AML) responds poorly to chemotherapy and has a short overall survival rate with a median of 5-9 months. Poor outcomes in TP53 mutated AML following chemotherapy have been observed and treatment options remain limited, although the presence of TP53 mutations alone should not be a barrier to therapy. Decitabine is emerging as an alternative treatment option for patients with TP53 mutated AML, although the agent has not been associated with deep molecular remissions and requires additional consolidation. The clinical and genomic characteristics of TP53 mutated AML are reviewed in this paper.

Indexed as

MutationDecitabineFemaleHumansLeukemia, Myeloid, AcuteMaleTumor Suppressor Protein p53DecitabineTP53 protein, humanTumor Suppressor Protein p53Acute myeloid leukemiaAMLCHIPClonal hematopoiesis of indeterminate potentialDecitabineMDSMutation patternsMyelodysplastic syndromesTP53

Identifiers

PMID30466751
PMCPMC6482955

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.