Evidence map›Paper›PMID 38744822›Full record

ArticleBlood cancer journal2024

Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis.

Yoonkyu Lee, Linda B Baughn, Chad L Myers, Zohar Sachs

Abstract readLetter
In one paragraph

Article in Blood cancer journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Characterization and Clinical Implications of p53 Dysfunction in Patients With Myelodysplastic Syndromes.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  5. Article
  6. Review
  7. Patients withCancers · 2024
    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

4 authors.

Yoonkyu LeeDivision of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-3011-4714
Linda B BaughnDivision of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-5229-4897
Chad L MyersBioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN, USA.
Zohar SachsDivision of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN, USA. sachs038@umn.edu.ORCID 0000-0001-9386-4163

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Institutional Career Development CoreKL2TR002492 · NCATS · UNIVERSITY OF MINNESOTA · PI INGBAR, DAVID H · 2018 to 2022
$6.3M
American Cancer Society (American Cancer Society, Inc.) 124166-IRG-58-001-55-IRG12American Cancer Society (American Cancer Society, Inc.) MRSG-16-195-01-DDCU.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) KL2TR002492U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR002494
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Leukemia, Myeloid, AcuteMachine LearningMutationTumor Suppressor Protein p53FemaleGene Expression Regulation, LeukemicHumansMaleMiddle AgedPrognosisTumor Suppressor Protein p53

Identifiers

PMID38744822
PMCPMC11094182

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.