In Cytometry. Part B, Clinical cytometry
Multiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow-up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work-up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34+ CD19- ) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work-up. Looking forward, several machine-learning-based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine-learning-based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS.
Porwit Anna, Béné Marie C, Duetz Carolien, Matarraz Sergio, Oelschlaegel Uta, Westers Theresia M, Wagner-Ballon Orianne, Kordasti Shahram, Valent Peter, Preijers Frank, Alhan Canan, Bellos Frauke, Bettelheim Peter, Burbury Kate, Chapuis Nicolas, Cremers Eline, Della Porta Matteo G, Dunlop Alan, Eidenschink-Brodersen Lisa, Font Patricia, Fontenay Michaela, Hobo Willemijn, Ireland Robin, Johansson Ulrika, Loken Michael R, Ogata Kiyoyuki, Orfao Alberto, Psarra Katherina, Saft Leonie, Subira Dolores, Te Marvelde Jeroen, Wells Denise A, van der Velden Vincent H J, Kern Wolfgang, van de Loosdrecht Arjan A
2022-Dec-20
ELN, consensus, flow cytometry, myelodysplastic syndromes, standardization
