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

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Background: Background: 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). Methods: We 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. Results: Healthy 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 CD61 + CD34 CD38 CD45 low cells was identified. This subpopulation was not readily identified by established manual gating approaches, and generally exhibited greater STAT phosphorylation in response to TPO stimulation than did Lin CD61 CD34 + CD38 cells. Lin CD61 + CD34 CD38 CD45 low cells were identified in three additional sAML patients analyzed independently using a manual gating approach based upon PhenoGraph results. Each patient exhibited a similar TPO hypersensitivity to the PhenoGraph metacluster. Conclusions: The 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.

Original languageEnglish
Pages (from-to)46-56
Number of pages11
JournalCytometry Part B - Clinical Cytometry
Volume96
Issue number1
DOIs
StatePublished - Jan 2019

Keywords

  • JAK/STAT signaling
  • PhenoGraph
  • mass cytometry
  • secondary AML

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