Evidence map›Paper›PMID 25110071›Full record

ArticleLeukemia2015

WT1 mutations are secondary events in AML, show varying frequencies and impact on prognosis between genetic subgroups.

M-T Krauth, T Alpermann, U Bacher, C Eder, F Dicker, M Ulke, S Kuznia, N Nadarajah, W Kern, C Haferlach and 2 more

Abstract read
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In one paragraph

Article in Leukemia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Incidence and Prognostic Impact of WT-1 Gene Exon7 and 9 Mutations in Acute Promyelocytic Leukemia.International journal of hematology-oncology and stem cell research · 2022
    Article
  10. Journal of clinical medicine · 2022
    Article
  11. Review
  12. The Genomic Landscape of a Restricted ALL Cohort from Patients Residing on the U.S./Mexico Border.International journal of environmental research and public health · 2021
    Article
  13. Review
  14. Frontiers in oncology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  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

12 authors.

M-T Krauth1] MLL Munich Leukemia Laboratory, Munich, Germany [2] Division of Hematology and Hemostaseology, Department of Internal Medicine I, Medical University Vienna, Vienna, Austria.
T AlpermannMLL Munich Leukemia Laboratory, Munich, Germany.
U BacherMLL Munich Leukemia Laboratory, Munich, Germany.
C EderMLL Munich Leukemia Laboratory, Munich, Germany.
F DickerMLL Munich Leukemia Laboratory, Munich, Germany.
M UlkeMLL Munich Leukemia Laboratory, Munich, Germany.
S KuzniaMLL Munich Leukemia Laboratory, Munich, Germany.
N NadarajahMLL Munich Leukemia Laboratory, Munich, Germany.
W KernMLL Munich Leukemia Laboratory, Munich, Germany.
C HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
T HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
S SchnittgerMLL Munich Leukemia Laboratory, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate frequency and prognostic impact of Wilms tumor 1 (WT1) mutations (mut), we analyzed 3157 unselected acute myeloid leukemia patients for WT1mut in exons 7 and 9. In total, 188 WT1 mutations were detected (exon 7: n=150, exon 9: n=38); 141 were frameshift, 24 missense, 14 non-sense, 7 splice site and 2 indel mutations. In 175/3157 (5.5%) patients, a WT1mut was found. Higher frequencies were detected in patients with biallelic CEBPAmut (13.6%; P=0.001), followed by t(15;17)/PML-RARA (11.0%, P=0.004), and FLT3-ITD (8.5%, P<0.001). WT1mut were rare in DNMT3Amut (4.4%, P=0.014), ASXL1mut (1.7%, P<0.001), IDH2R140 (1.7%, P=0.001) and IDH1R132 (0.9%, P<0.001), and not detected in complex karyotypes (P=0.047). They were more frequent in females than in males (6.6 vs 4.7%; P=0.014) and in patients <60 years (P<0.001). Analysis of paired samples of 35 patients revealed a relatively unstable character of WT1mut (65.7% retained, 34.3% lost WT1mut at relapse). In the total cohort and subgroups with high WT1mut incidences (biallelic CEBPAmut, PML-RARA), WT1mut had no impact on prognosis. In normal karyotype AML, WT1mut patients had shorter event-free survival (EFS) (10.8 vs 17.9 m, P=0.008). In multivariate analysis, WT1mut had an independent adverse impact on EFS (P=0.002, hazard ratio (HR): 1.64) besides FLT3-ITD status (P<0.001, HR: 1.71) and age (P<0.001, HR: 1.28).

Indexed as

Gene Expression Regulation, LeukemicMutationAdolescentAdultAgedAged, 80 and overAge FactorsAntineoplastic AgentsAxonsCCAAT-Enhancer-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3AFemalefms-Like Tyrosine Kinase 3HumansLeukemia, Myeloid, AcuteAntineoplastic AgentsASXL1 protein, humanCCAAT-Enhancer-Binding ProteinsCEBPA protein, humanDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNMT3A protein, humanFLT3 protein, humanfms-Like Tyrosine Kinase 3Oncogene Proteins, Fusionpromyelocytic leukemia-retinoic acid receptor alpha fusion oncoproteinRepressor ProteinsWT1 protein, humanWT1 Proteins

Identifiers

PMID25110071

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.