Evidence map›Paper›PMID 30426661›Full record

ArticleCytometry. Part B, Clinical cytometry2019

Identification of functionally primitive and immunophenotypically distinct subpopulations in secondary acute myeloid leukemia by mass cytometry.

Shovik Bandyopadhyay, Jared S Fowles, Liyang Yu, Daniel A C Fisher, Stephen T Oh

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
    Review
  8. 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

5 authors at 2 institutions in 1 country.

Shovik BandyopadhyayDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana.
Jared S FowlesDivision of Hematology, Washington University School of Medicine, St Louis, Missouri.
Liyang YuCenter for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, Missouri.
Daniel A C FisherDivision of Hematology, Washington University School of Medicine, St Louis, Missouri.
Stephen T OhDivision of Hematology, Washington University School of Medicine, St Louis, Missouri.
Washington University in St. Louis · USPurdue University West Lafayette · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LEY, TIMOTHY J. · 2003 to 2023
$58.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
PRE-AND POSTGRADUATE TRAINING IN MOLECULAR HEMATOLOGYT32HL007088 · NHLBI · WASHINGTON UNIVERSITY · PI Grant Anthony Challen, Stephen Oh · 1985 to 2026
$14.1M
ABERRANT JAK-STAT SIGNALING DUE TO LNK MUTATIONS IN MYELOPROLIFERATIVE NEOPLASMSK08HL106576 · NHLBI · WASHINGTON UNIVERSITY · PI OH, STEPHEN TRACY · 2012 to 2016
$624k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P01 CA101937NHLBI NIH HHS K08 HL106576NHLBI NIH HHS T32 HL007088
6 · The paper itself

Abstract

backgroundBackground: Mass cytometry (CyTOF) is a powerful tool for analyzing cellular networks at the single cell level. Due to the high-dimensional nature of this approach, analysis algorithms have been developed to visualize and interpret mass cytometry data. In this study, we applied these approaches to a cohort of patients with secondary acute myeloid leukemia (sAML).

methodsWe utilized mass cytometry to interrogate localization and intensity of thrombopoietin-mediated intracellular signaling in sAML. Extracellular and intracellular phenotypes were dissected using SPADE, viSNE, and PhenoGraph.

resultsHealthy controls exhibited highly localized signaling responses largely restricted to the hematopoietic stem/progenitor cell (HSPC) compartment. In contrast, sAML samples contained subpopulations outside the HSPC compartment exhibiting thrombopoietin (TPO) sensitivity comparable to or greater than immunophenotypically defined HSPCs. We employed unsupervised clustering by PhenoGraph to elucidate distinct subpopulations within these heterogeneous samples. One metacluster composed almost exclusively of Lin

conclusionsThe identification of this cellular subpopulation highlights the limitations of manual gating in sAML. Our study demonstrates the potential for mass cytometry to elucidate rare subpopulations in highly heterogeneous tumors by utilizing unsupervised high dimensional analysis. © 2018 International Clinical Cytometry Society.

Indexed as

ImmunophenotypingAntigens, CDCytokinesFlow CytometryHematopoietic Stem CellsHumansLeukemia, Myeloid, AcuteThrombopoietinAntigens, CDCytokinesThrombopoietinJAK/STAT signalingmass cytometryPhenoGraphsecondary AML

Identifiers

PMID30426661
PMCPMC6343486
OpenAlexW2901307558

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.