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Standards of Genetic Testing in the Diagnosis and Prognostication of Systemic Mastocytosis in 2022: Recommendations of the EU-US Cooperative Group

  • Gregor Hoermann*
  • , Karl Sotlar
  • , Mohamad Jawhar
  • , Thomas Kristensen
  • , Guillaume Bachelot
  • , Boguslaw Nedoszytko
  • , Melody C. Carter
  • , Hans Peter Horny
  • , Patrizia Bonadonna
  • , Wolfgang R. Sperr
  • , Karin Hartmann
  • , Knut Brockow
  • , Jonathan J. Lyons
  • , Hanneke C. Kluin-Nelemans
  • , Olivier Hermine
  • , Cem Akin
  • , Sigurd Broesby-Olsen
  • , Massimo Triggiani
  • , Joseph H. Butterfield
  • , Juliana Schwaab
  • Andreas Reiter, Jason Gotlib, Dean D. Metcalfe, Tracy I. George, Alberto Orfao, Peter Valent, Michel Arock
*Corresponding author for this work
  • Medical University of Vienna
  • Munich Leukemia Laboratory
  • Paracelsus Medical University
  • Heidelberg University
  • Public Hospital System of Paris
  • Medical University of Gdansk
  • National Institute of Allergy and Infectious Diseases
  • Ludwig-Maximilian University of Munich
  • University Hospital of Verona
  • University Hospital of Basel
  • University of Basel
  • University Medical Center Groningen
  • Université De Paris
  • University of Michigan
  • University of Salerno
  • Mayo Clinic
  • Stanford University
  • The University of Utah
  • Instituto de Investigación Biomédica de Salamanca (IBSAL)
  • University of Salamanca
  • Technical University of Munich

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Mastocytosis comprises rare heterogeneous diseases characterized by an increased accumulation of abnormal mast cells in various organs/tissues. The pathogenesis of mastocytosis is strongly linked to the presence of KIT-activating mutations. In systemic mastocytosis (SM), the most frequent mutation encountered is KIT p.D816V, whose presence constitutes one of the minor diagnostic criteria. Different techniques are used to search and quantify the KIT p.D816V mutant; however, allele-specific quantitative PCR and droplet digital PCR are today the most sensitive. The analysis of the KIT p.D816V allele burden has undeniable interest for diagnostic, prognostic, and therapeutic monitoring. The analysis of non–mast cell hematological compartments in SM is similarly important because KIT p.D816V multilineage involvement is associated with a worse prognosis. In addition, in advanced forms of SM, mutations in genes other than KIT are frequently identified and affect negatively disease outcome and response to therapy. Thus, combined quantitative and sensitive analysis of KIT mutations and next-generation sequencing of other recurrently involved myeloid genes make it possible to better characterize the extent of the affected cellular compartments and additional molecular aberrations, providing a more detailed overview of the complex mutational landscape of SM, in relation with the clinical heterogeneity of the disease. In this article, we report the latest recommendations of the EU-US Cooperative Group presented in September 2020 in Vienna during an international working conference, on the techniques we consider standard to detect and quantify the KIT p.D816V mutant in SM and additional myeloid mutations found in SM subtypes.

Original languageEnglish
JournalJournal of Allergy and Clinical Immunology: In Practice
Volume10
Issue number8
Pages (from-to)1953-1963
ISSN2213-2198
DOIs
Publication statusPublished - Aug 2022

Funding

D.D.M., J.J.L., and M.C.C. were supported by the Division of Intramural Research , National Institute of Allergy and Infectious Diseases, National Institutes of Health . P.V. was supported by the Austrian Science Fund ( FWF ) (grant nos. F4704-B20 and P32470-B ).

Keywords

  • allele burden
  • diagnosis
  • KIT mutations
  • Mast cell
  • mastocytosis
  • next-generation sequencing
  • prognosis
  • Genetic Testing
  • Mast Cells/pathology
  • Mutation/genetics
  • Humans
  • Proto-Oncogene Proteins c-kit/genetics
  • Mastocytosis/diagnosis
  • Mastocytosis, Systemic/diagnosis
  • Real-Time Polymerase Chain Reaction

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