Evidence map›Paper›PMID 33301193›Full record

ArticleCytometry. Part B, Clinical cytometry2021

Radar plots facilitate differential diagnosis of acute promyelocytic leukemia and NPM1+ acute myeloid leukemia by flow cytometry.

Monali Gupta, Katayoon Jafari, Amr Rajab, Cuihong Wei, Joanna Mazur, Anne Tierens, Elizabeth Hyjek, Rumina Musani, Anna Porwit

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Analytical Appraisal of Hematogones in B-ALL MRD Assessment Using Multidimensional Dot-Plots by Multiparametric Flow Cytometry: A Critical Review and Update.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2024
    Review
  7. Review
  8. Full spectrum flow cytometry in the clinical laboratory.International journal of laboratory hematology · 2023
    Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 5 countries.

Monali GuptaImmunophenotyping Laboratory, Viapath Analytics LLP, Department of Hematology, Kings College Hospital, London, UK.
Katayoon JafariDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Amr RajabDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Cuihong WeiDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Joanna MazurDepartment of Humanization of Medicine and Sexology, Collegium Medicum, University of Zielona Gora, Zielona Gora, Poland.
Anne TierensDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Elizabeth HyjekDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Rumina MusaniDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.
Anna PorwitDepartment of Pathobiology and Laboratory Medicine, Division of Hematopathology, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-0709-2713
University Health Network · CAMother and Child Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute promyelocytic leukemia (APL) is one of the most life-threatening hematological emergencies and requires a prompt correct diagnosis by cytomorphology and flow cytometry (FCM) with later confirmation by cytogenetics/molecular genetics. However, nucleophosmin 1 muted acute myeloid leukemia (NPM1+ AML) can mimic APL, especially the hypogranular variant of APL. Our study aimed to develop a novel, Radar plot-based FCM strategy to distinguish APLs and NPM1+ AMLs quickly and accurately.

methodDiagnostic samples from 52 APL and 32 NPM1+ AMLs patients were analyzed by a 3-tube panel of 10-color FCM. Radar plots combining all markers were constructed for each tube. Percentages of positive leukemic cells and mean fluorescence intensity were calculated for all the markers.

resultsAPL showed significantly higher expression of CD64, CD2, and CD13, whereas more leukemic cells were positive for CD11b, CD11c, CD15, CD36, and HLA-DR in NPM1+ AMLs. Radar plots featured CD2 expression, a lack of a monocytic component, lack of expression of HLA-DR and CD15, and a lack of a prominent CD11c+ population as recurring characteristics of APL. The presence of blasts with low SSC, presence of at least some monocytes, some expression of HLA-DR and/or CD15, and a prominent CD11c population were recurrent characteristics of NPM1+ AMLs. Radar plot analysis could confidently separate all hypergranular APL cases from any NPM1+ AML and in 90% of cases between variant APL and blastic NPM1+ AML.

conclusionRadar plots can potentially add to differential diagnostics as they exhibit characteristic patterns distinguishing APL and different types of NPM1+ AMLs.

Indexed as

Flow CytometryAdultAgedAged, 80 and overBiomarkers, TumorCell LineageDiagnosis, DifferentialFemaleHumansLeukemia, Myeloid, AcuteLeukemia, Promyelocytic, AcuteMaleMiddle AgedNucleophosminBiomarkers, TumorNPM1 protein, humanNucleophosminacute promyelocytic leukemiaflow cytometrymean fluorescence intensityNPM1 mutated acute myeloid leukemiaradar plot

Identifiers

PMID33301193
PMCPMC8359362
OpenAlexW3112569865

What OpenQuestion holds

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LicenceCC BY-NC
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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.