Evidence map›Paper›PMID 33591326›Full record

ArticleBlood advances2021

Challenging conventional karyotyping by next-generation karyotyping in 281 intensively treated patients with AML.

Sylvain Mareschal, Anna Palau, Johan Lindberg, Philippe Ruminy, Christer Nilsson, Sofia Bengtzén, Marie Engvall, Anna Eriksson, Anne Neddermeyer, Vinciane Marchand and 8 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cancer: From a Genetic Disorder to a Systemic Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  10. Detection of Cancer-Associated Gene Fusion by Ligation-Dependent RT-PCR.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  14. Review
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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

18 authors at 5 institutions in 2 countries.

Sylvain MareschalDepartment of Biosciences and Nutrition, Neo, Karolinska Institute, Huddinge, Sweden.
Anna PalauDepartment of Biosciences and Nutrition, Neo, Karolinska Institute, Huddinge, Sweden.
Johan LindbergDepartment of Medical Epidemiology and Biostatistics, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden.
Philippe RuminyINSERM Unité 918, Centre Henri Becquerel, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France.
Christer NilssonCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden.
Sofia BengtzénCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden.
Marie EngvallMedical Genetics and Genomics, Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
Anna ErikssonHematology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Anne NeddermeyerHematology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Vinciane MarchandINSERM Unité 918, Centre Henri Becquerel, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France.
Monika JanssonCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden.
My BjörklundHematology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Fabrice JardinINSERM Unité 918, Centre Henri Becquerel, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France.
Mattias RantalainenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Andreas LennartssonDepartment of Biosciences and Nutrition, Neo, Karolinska Institute, Huddinge, Sweden.
Lucia CavelierMedical Genetics and Genomics, Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.
Henrik GrönbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Sören LehmannHematology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SEKarolinska Institutet · SEInserm · FRKarolinska University Hospital · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although copy number alterations (CNAs) and translocations constitute the backbone of the diagnosis and prognostication of acute myeloid leukemia (AML), techniques used for their assessment in routine diagnostics have not been reconsidered for decades. We used a combination of 2 next-generation sequencing-based techniques to challenge the currently recommended conventional cytogenetic analysis (CCA), comparing the approaches in a series of 281 intensively treated patients with AML. Shallow whole-genome sequencing (sWGS) outperformed CCA in detecting European Leukemia Net (ELN)-defining CNAs and showed that CCA overestimated monosomies and suboptimally reported karyotype complexity. Still, the concordance between CCA and sWGS for all ELN CNA-related criteria was 94%. Moreover, using in silico dilution, we showed that 1 million reads per patient would be enough to accurately assess ELN-defining CNAs. Total genomic loss, defined as a total loss ≥200 Mb by sWGS, was found to be a better marker for genetic complexity and poor prognosis compared with the CCA-based definition of complex karyotype. For fusion detection, the concordance between CCA and whole-transcriptome sequencing (WTS) was 99%. WTS had better sensitivity in identifying inv(16) and KMT2A rearrangements while showing limitations in detecting lowly expressed PML-RARA fusions. Ligation-dependent reverse transcription polymerase chain reaction was used for validation and was shown to be a fast and reliable method for fusion detection. We conclude that a next-generation sequencing-based approach can replace conventional CCA for karyotyping, provided that efforts are made to cover lowly expressed fusion transcripts.

Indexed as

Leukemia, Myeloid, AcuteChromosome AberrationsCytogenetic AnalysisDNA Copy Number VariationsHumansKaryotyping

Identifiers

PMID33591326
PMCPMC7903223
OpenAlexW3132904264

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.