Cancers (Mar 2023)

Consensus for Flow Cytometry Clinical Report on Multiple Myeloma: A Multicenter Harmonization Process Merging Laboratory Experience and Clinical Needs

  • Iole Cordone,
  • Rachele Amodeo,
  • Silvia Bellesi,
  • Fiorella Bottan,
  • Francesco Buccisano,
  • Maria Stefania De Propris,
  • Serena Masi,
  • Valentina Panichi,
  • Maria Cristina Scerpa,
  • Ombretta Annibali,
  • Velia Bongarzoni,
  • Tommaso Caravita di Toritto,
  • Ugo Coppetelli,
  • Luca Cupelli,
  • Paolo de Fabritiis,
  • Luca Franceschini,
  • Mariagrazia Garzia,
  • Alessia Fiorini,
  • Giacinto Laverde,
  • Andrea Mengarelli,
  • Tommaso Za,
  • Maria Teresa Petrucci

DOI
https://doi.org/10.3390/cancers15072060
Journal volume & issue
Vol. 15, no. 7
p. 2060

Abstract

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Flow cytometry is a highly sensitive and specific approach for discriminating between normal and clonal plasma cells in multiple myeloma. Uniform response criteria after treatment have been established by the International Myeloma Working Group and the EuroFlow Group; however, the way in which flow cytometry data are reported has suffered from no collaborative or multicentre efforts. This study, involving 8 expert laboratories and 12 clinical hematology units of the Lazio region in Italy, aims to produce a uniform and shared report among the various Centres. From the pre-analytical phase to sample processing, data acquisition, analysis, and evaluation of the potential limitations and pitfalls of the entire process, the study reaches a final conclusion shared by laboratories and clinicians according to the most updated principles and recommendations. The aim was to identify the necessary data to be included in the clinical report by using multiple-choice questionnaires at every single stage of the process. An agreement of more than 75% of the laboratories was considered mandatory for the data to be included in the report. By ensuring the operational autonomy of each laboratory, this study provides a clear report that limits subjective interpretations and highlights possible bias in the process, better supporting clinical decision-making.

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