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Review

Diagnosis of erythroid dysplasia by flow cytometry: a review

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Pages 1049-1062 | Received 18 Aug 2023, Accepted 27 Nov 2023, Published online: 07 Dec 2023

References

  • Arber DA, Orazi A, Hasserjian RP, et al. International consensus classification of myeloid neoplasms and acute leukemias: integrating morphologic, clinical, and genomic data. Blood. 2022;140(11):1200–1228.
  • Zavras PD, Sinanidis I, Tsakiroglou P, et al. Understanding the continuum between high-risk myelodysplastic syndrome and acute myeloid Leukemia. Int J Mol Sci. 2023;24(5):5018.
  • Valent P. ICUS, IDUS, CHIP and CCUS: diagnostic criteria, separation from MDS and clinical implications. Pathobiology. 2019;86:30–38. doi: 10.1159/000489042
  • Ramos F, Fernández-Ferrero S, Suárez D, et al. Myelodysplastic syndrome: a search for minimal diagnostic criteria. Leuk Res. 1999;23(3):283–290.
  • Font P, Loscertales J, Soto C, et al. Interobserver variance in myelodysplastic syndromes with less than 5 % bone marrow blasts: unilineage vs. multilineage dysplasia and reproducibility of the threshold of 2 % blasts. Ann Hematol. 2015;94(4):565–573.
  • Hodes A, Calvo KR, Dulau A, et al. The challenging task of enumerating blasts in the bone marrow. Semin Hematol. 2019;56(1):58–64.
  • Goasguen JE, Bennett JM, Bain BJ, et al. Dyserythropoiesis in the diagnosis of the myelodysplastic syndromes and other myeloid neoplasms: problem areas. Br J Haematol. 2018;182(4):526–533.
  • Ogawa S. Genetics of MDS. Blood. 2019;133(10):1049–1059. doi: 10.1182/blood-2018-10-844621
  • Kern W, Haferlach C, Schnittger S, et al. Clinical utility of multiparameter flow cytometry in the diagnosis of 1013 patients with suspected myelodysplastic syndrome. Cancer. 2010;116(19):4549–4563.
  • Kern W, Bacher U, Haferlach C, et al. Multiparameter flow cytometry provides independent prognostic information in patients with suspected myelodysplastic syndromes: a study on 804 patients. Cytom Part B Clin Cytom. 2015;88(3):154–164.
  • Kern W, Haferlach C, Schnittger S, et al. Serial assessment of suspected myelodysplastic syndromes: significance of flow cytometric findings validated by cytomorphology, cytogenetics, and molecular genetics. Haematologica. 2013;98(2):201–207.
  • Matarraz S, López A, Barrena S, et al. Bone marrow cells from myelodysplastic syndromes show altered immunophenotypic profiles that may contribute to the diagnosis and prognostic stratification of the disease: a pilot study on a series of 56 patients. Cytometry B Clin Cytom. 2010;78(3):154–168.
  • Westers TM, van der Velden VHJ, Alhan C, et al. Implementation of flow cytometry in the diagnostic work-up of myelodysplastic syndromes in a multicenter approach: report from the Dutch working Party on flow cytometry in MDS. Leuk Res. 2012;36(4):422–430.
  • Porwit A, van de Loosdrecht AA, Bettelheim P, et al. Revisiting guidelines for integration of flow cytometry results in the WHO classification of myelodysplastic syndromes—proposal from the International/European LeukemiaNet working group for flow cytometry in MDS. Leukemia. 2014;28(9):1793–1798.
  • Wang W, Khoury JD. Where diagnosis for myelodysplastic neoplasms (MDS) stands today and where it will go: the role of flow cytometry in evaluation of MDS. Cytom Part B Clin Cytom. 2023;104(1):12–14. doi: 10.1002/cyto.b.22110
  • Fajtova M, Kovarikova A, Svec P, et al. Immunophenotypic profile of nucleated erythroid progenitors during maturation in regenerating bone marrow. Leuk Lymphoma. 2013;54(11):2523–2530.
  • Mathis S, Chapuis N, Debord C, et al. Flow cytometric detection of dyserythropoiesis: a sensitive and powerful diagnostic tool for myelodysplastic syndromes. Leukemia. 2013;27(10):1981–1987. doi: 10.1038/leu.2013.178
  • Rosenberg CA, Bill M, Rodrigues MA, et al. Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine‐learning assisted morphometrics. Cytom Part B Clin Cytom. 2021;100(5):554–567.
  • Wangen JR, Eidenschink Brodersen L, Stolk TT, et al. Assessment of normal erythropoiesis by flow cytometry: important considerations for specimen preparation. Int J Lab Hematol. 2014;36(2):184–196.
  • Stetler-Stevenson M, Arthur DC, Jabbour N, et al. Diagnostic utility of flow cytometric immunophenotyping in myelodysplastic syndrome. Blood. 2001;98(4):979–987.
  • Loken MR, Shah VO, Dattilio KL, et al. Flow cytometric analysis of human bone marrow: I Normal Erythroid Development. Blood. 1987;69(1):255–263.
  • van Lochem EG, van der Velden VHJ, Wind HK, et al. Immunophenotypic differentiation patterns of normal hematopoiesis in human bone marrow: reference patterns for age-related changes and disease-induced shifts. Cytometry. 2004;60B(1):1–13.
  • Xu F, Wu L, He Q, et al. Immunophenotypic analysis of erythroid dysplasia and its diagnostic application in myelodysplastic syndromes. Intern Med J. 2012;42(4):401–411.
  • Duetz C, Van Gassen S, Westers TM, et al. Computational flow cytometry as a diagnostic tool in suspected‐myelodysplastic syndromes. Cytom Part a 2021. Cytometry Part A. 2021;99(8):814–824. doi: 10.1002/cyto.a.24360
  • Johansson U, Rolf N, Futhee N, et al. Erythroid side scatter: a parameter that improves diagnostic accuracy of flow cytometry myelodysplastic syndrome scoring. Cytom Part B Clin Cytom. Cytometry B Clin Cytom. 2023;104(2):151–161. doi: 10.1002/cyto.b.22067.
  • Chopra A, Pati H, Mahapatra M, et al. Flow cytometry in myelodysplastic syndrome: analysis of diagnostic utility using maturation pattern-based and quantitative approaches. Ann Hematol. 2012;91(9):1351–1362.
  • Westers TM, Cremers EMP, Oelschlaegel U, et al. Immunophenotypic analysis of erythroid dysplasia in myelodysplastic syndromes. A report from the IMDSFlow working group. Haematologica. 2017;102:308–319. doi: 10.3324/haematol.2016.147835
  • Wu D, Wood BL, Dorer R, et al. Utility of flow cytometry for immunophenotyping double-hit lymphomas. Cytom Part B Clin Cytom. 2013;84:398–398. doi: 10.1002/cytob.21117
  • Eidenschink Brodersen L, Menssen AJ, Wangen JR, et al. Assessment of erythroid dysplasia by “difference from normal” in routine clinical flow cytometry work-up. Cytom Part B Clin Cytom. 2015;88:125–135. doi: 10.1002/cytob.21199
  • Cremers EMP, Westers TM, Alhan C, et al. Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes. Haematologica. 2017;102(2):320–326.
  • Violidaki D, Axler O, Jafari K, et al. Analysis of erythroid maturation in the nonlysed bone marrow with help of radar plots facilitates detection of flow cytometric aberrations in myelodysplastic syndromes. Cytom Part B Clin Cytom. 2020;98(5):399–411.
  • Malcovati L, Della Porta MG, Lunghi M, et al. Flow cytometry evaluation of erythroid and myeloid dysplasia in patients with myelodysplastic syndrome. Leukemia. 2005;19(5):776–783.
  • Della PM, Malcovati L, Invernizzi R, et al. Flow cytometry evaluation of erythroid dysplasia in patients with myelodysplastic syndrome. Leukemia. 2006;20(4):549–555.
  • Kern W, Westers TM, Bellos F, et al. Multicenter prospective evaluation of diagnostic potential of flow cytometric aberrancies in myelodysplastic syndromes by the ELN iMDS flow working group. Cytom Part B Clin Cytom. 2023;104(1):51–65.
  • Laranjeira P, Rodrigues R, Carvalheiro T, et al. Expression of CD44 and CD35 during normal and myelodysplastic erythropoiesis. Leuk Res. 2015;39(3):361–370.
  • Raimbault A, Itzykson R, Willems L, et al. The fraction of CD117/c‐KIT‐expressing erythroid precursors predicts ESA response in low‐risk myelodysplastic syndromes. Cytom Part B Clin Cytom. 2019;96(3):215–222.
  • Oliveira M, Laranjeira P, Fortuna M, et al. CD43 and CD49d from the B‐cell chronic lymphoproliferative disorders diagnostic panel are useful to detect erythroid dysplasia. Cytom Part B Clin Cytom. 2019;96(5):417–425.
  • Hu J, Liu J, Xue F, et al. Isolation and functional characterization of human erythroblasts at distinct stages: implications for understanding of normal and disordered erythropoiesis in vivo. Blood. 2013;121(16):3246–3253.
  • Oelschlaegel U, Oelschlaeger L, von Bonin M, et al. Comparison of five diagnostic flow cytometry scores in patients with myelodysplastic syndromes: diagnostic power and prognostic impact. Cytom Part B Clin Cytom. 2023;104(2):141–150.
  • van de Loosdrecht AA, Westers TM, van de Loosdrecht AA. Cutting edge: flow cytometry in myelodysplastic syndromes. J Natl Compr Cancer Netw. 2013;11(7):892–902. doi: 10.6004/jnccn.2013.0106
  • Elkhader J, Elemento O. Artificial intelligence in oncology: From bench to clinic. Semin Cancer Biol. 2022;84:113–128. doi: 10.1016/j.semcancer.2021.04.013
  • Brinkman RR. Improving the rigor and reproducibility of flow cytometry‐based clinical research and trials through automated data analysis. Cytom Part A. 2020;97(2):107–112. doi: 10.1002/cyto.a.23883
  • Pedersen CB, Olsen LR. Algorithmic clustering of single-cell cytometry data—how unsupervised are these analyses really? Cytom Part a. Cytometry Part A. 2020;97(3):219–221. doi: 10.1002/cyto.a.23917
  • Duetz C, Bachas C, Westers TM, et al. Computational analysis of flow cytometry data in hematological malignancies: future clinical practice? Curr Opin Oncol. 2020;32(2):162–169.
  • Van Gassen S, Callebaut B, Van Helden MJ, et al. FlowSOM: using self-organizing maps for visualization and interpretation of cytometry data. Cytom Part A. 2015;87(7):636–645.
  • Porwit A, Violidaki D, Axler O, et al. Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic flow‐self organizing maps algorithm. Cytom Part B Clin Cytom. 2022;102(2):134–142.
  • Weiß E, Walter W, Meggendorfer M, et al. Identification of a specific immunophenotype associated with a consistent pattern of genetic mutations including SRFS2 and gene expression profile in MDS. Cytom Part B Clin Cytom. 2023;104(2):173–182.
  • Park S, Kosmider O, Maloisel F, et al. Dyserythropoiesis evaluated by the RED score and hepcidin: ferritin ratio predicts response to erythropoietin in lower-risk myelodysplastic syndromes. Haematologica. 2019;104(3):497–504.
  • van de Loosdrecht AA, Alhan C, Bene MC, et al. Standardization of flow cytometry in myelodysplastic syndromes: report from the first European LeukemiaNet working conference on flow cytometry in myelodysplastic syndromes. Haematologica. 2009;94:1124–1134. doi: 10.3324/haematol.2009.005801
  • van der Velden VHJ, Preijers F, Johansson U, et al. Flow cytometric analysis of myelodysplasia: Pre‐analytical and technical issues—recommendations from the European LeukemiaNet. Cytom Part B Clin Cytom. 2023;104(1):15–26.
  • Rawstron AC, Kreuzer K-A, Soosapilla A, et al. Reproducible diagnosis of chronic lymphocytic leukemia by flow cytometry: an European research Initiative on CLL (ERIC) & European Society for clinical cell analysis (ESCCA) harmonisation project. Cytometry B Clin Cytom. 2018;94(1):121–128.
  • Maecker HT, Rinfret A, D’Souza P, et al. Standardization of cytokine flow cytometry assays. BMC Immunol. 2005;6(1):13.
  • Johansson U, McIver‐Brown N, Cullen M, et al. The flow cytometry myeloid progenitor count: a reproducible parameter for diagnosis and prognosis of myelodysplastic syndromes. Cytom Part B Clin Cytom. 2023;104(2):115–127.
  • Streiner DL. Best (but oft-forgotten) practices: the multiple problems of multiplicity—whether and how to correct for many statistical tests. Am J Clin Nutr. 2015;102(4):721–728. doi: 10.3945/ajcn.115.113548
  • Kahneman D, Sibony O, Sunstein CR. Noise: a flaw in human judgment. Scotland: HarperCollins; 2021.

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