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Phenotypic profiling of CD34+ cells by advanced flow cytometry improves diagnosis of juvenile myelomonocytic leukemia

  • Cristina Bugarin
  • , Laura Antolini
  • , Chiara Buracchi
  • , Sergio Matarraz
  • , Tiziana Angela Coliva
  • , Vincent H. Van der Velden
  • , Tomasz Szczepanski
  • , Elaine Sobral Da Costa
  • , Alita Van der Sluijs
  • , Michaela Novakova
  • , Ester Mejstrikova
  • , Stefan Nierkens
  • , Fabiana Vieira De Mello
  • , Paula Fernandez
  • , Carmen Aanei
  • , Łukasz Sędek
  • , Luisa Strocchio
  • , Riccardo Masetti
  • , Laura Sainati
  • , Jan Philippé
  • Maria Grazia Valsecchi, Franco Locatelli, Jacques J.M. Van Dongen, Andrea Biondi, Alberto Orfao, Giuseppe Gaipa
  • Fondazione IRCCS San Gerardo dei Tintori
  • University of Milan - Bicocca
  • Universidad de Salamanca
  • Universidade Federal do Rio de Janeiro
  • Leiden University
  • Charles University
  • Princess Máxima Center for Pediatric Oncology
  • Cantonal Hospital Aarau
  • CHU de Saint-Étienne
  • Medical University of Silesia in Katowice
  • University of Rome La Sapienza
  • S. Orsola-Malpighi Hospital
  • Azienda Ospedale - Università Padova
  • Ghent University Hospital

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
41 Downloads (Pure)

Abstract

Diagnostic criteria for juvenile myelomonocytic leukemia (JMML) are currently well defined, however in some patients diagnosis still remains a challenge. Flow cytometry is a well established tool for diagnosis and follow-up of hematological malignancies, nevertheless it is not routinely used for JMML diagnosis. Herewith, we characterized the CD34+ hematopoietic precursor cells collected from 31 children with JMML using a combination of standardized EuroFlow antibody panels to assess the ability to discriminate JMML cells from normal/reactive bone marrow cell as controls (n=29) or from cells of children with other hematological diseases mimicking JMML (n=9). CD34+ precursors in JMML showed markedly reduced B-cell and erythroid-committed precursors compared to controls, whereas monocytic and CD7+ lymphoid precursors were significantly expanded. Moreover, aberrant immunophenotypes were consistently present in CD34+ precursors in JMML, while they were virtually absent in controls. Multivariate logistic regression analysis showed that combined assessment of the number of CD34+CD7+ lymphoid precursors and CD34+ aberrant precursors or erythroid precursors had a great potential in discriminating JMMLs versus controls. Importantly our scoring model allowed highly efficient discrimination of truly JMML versus patients with JMML-like diseases. In conclusion, we show for the first time that CD34+ precursors from JMML patients display a unique immunophenotypic profile which might contribute to a fast and accurate diagnosis of JMML worldwide by applying an easy to standardize single eight-color antibody combination.

Original languageEnglish
Pages (from-to)521-532
Number of pages12
JournalHaematologica
Volume109
Issue number2
DOIs
Publication statusPublished - 1 Feb 2024

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