Eline M. P. Cremers

Implementation of erythroid lineage analysis by flow cytometry in diagnostic models for myelodysplastic syndromes

Flow cytometric analysis is a recommended tool in the diagnosis of myelodysplastic syndromes. Current flow cytometric approaches evaluate the (im)mature myelo-/monocytic lineage with a median sensitivity and specificity of ~71% and ~93%, respectively. We hypothesized that the addition of erythroid lineage analysis could increase the sensitivity of flow cytometry. Hereto, we validated the analysis of erythroid lineage parameters recommended by the International/European LeukemiaNet Working Group for Flow Cytometry in Myelodysplastic Syndromes, and incorporated this evaluation in currently applied flow cytometric models. One hundred and sixty-seven bone marrow aspirates were analyzed; 106 patients with myelodysplastic syndromes, and 61 cytopenic controls. There was a strong correlation between presence of erythroid aberrancies assessed by flow cytometry and the diagnosis of myelodysplastic syndromes when validating the previously described erythroid evaluation. Furthermore, addition of erythroid aberrancies to two different flow cytometric models led to an increased sensitivity in detecting myelodysplastic syndromes: from 74% to 86% for the addition to the diagnostic score designed by Ogata and colleagues, and from 69% to 80% for the addition to the integrated flow cytometric score for myelodysplastic syndromes, designed by our group. In both models the specificity was unaffected. The high sensitivity and specificity of flow cytometry in the detection of myelodysplastic syndromes illustrates the important value of flow cytometry in a standardized diagnostic approach. The trial is registered at www.trialregister.nl as NTR1825; EudraCT n.: 2008-002195-10

Immunophenotypic analysis of erythroid dysplasia in myelodysplastic syndromes. A report from the IMDSFlow working group

Current recommendations for diagnosing myelodysplastic syndromes endorse flow cytometry as an informative tool. Most flow cytometry protocols focus on the analysis of progenitor cells and the evaluation of the maturing myelomonocytic lineage. However, one of the most frequently observed features of myelodysplastic syndromes is anemia, which may be associated with dyserythropoiesis. Therefore, analysis of changes in flow cytometry features of nucleated erythroid cells may complement current flow cytometry tools. The multicenter study within the IMDSFlow Working Group, reported herein, focused on defining flow cytometry parameters that enable discrimination of dyserythropoiesis associated with myelodysplastic syndromes from non-clonal cytopenias. Data from a learning cohort were compared between myelodysplasia and controls, and results were validated in a separate cohort. The learning cohort comprised 245 myelodysplasia cases, 290 pathological, and 142 normal controls; the validation cohort comprised 129 myelodysplasia cases, 153 pathological, and 49 normal controls. Multivariate logistic regression analysis performed in the learning cohort revealed that analysis of expression of CD36 and CD71 (expressed as coefficient of variation), in combination with CD71 fluorescence intensity and the percentage of CD117+ erythroid progenitors provided the best discrimination between myelodysplastic syndromes and non-clonal cytopenias (specificity 90%; 95% confidence interval: 84–94%). The high specificity of this marker set was confirmed in the validation cohort (92%; 95% confidence interval: 86–97%). This erythroid flow cytometry marker combination may improve the evaluation of cytopenic cases with suspected myelodysplasia, particularly when combined with flow cytometry assessment of the myelomonocytic lineage.

Application of flow cytometry for myelodysplastic syndromes: Pitfalls and technical considerations.

The application of flow cytometry (FC) is recommended as part of the diagnostic approach for MDS. The complexity of flow cytometric analysis of bone marrow cells in MDS has been an obstacle for general application. However, in the past years several studies showed practical flow cytometric approaches for the diagnosis and prognosis of MDS. In this report we discuss technical considerations and highlight issues that require special attention when handling and analyzing bone marrow samples of patients with cytopenia and suspicion of MDS.

Immunophenotyping for diagnosis and prognosis in MDS: Ready for general application?

Myelodysplastic syndromes is a heterogeneous group of bone marrow diseases ranging from low risk to high risk subtypes that may rapidly evolve to acute myeloid leukemia. Flow cytometry (FCM) is added as a recommended tool for diagnostic purposes in MDS. In recent studies FCM has also shown applicable to predict prognosis and treatment response. This review summarizes current data about the diagnostic, prognostic and therapeutic value of FCM in MDS. The high sensitivity of FCM in the detection of dysplasia in myelo-/monocytic and erythroid cell lineages makes it a valuable tool to distinguish possible clonal causes of cytopenia(s) from non-clonal causes, and to detect multi-lineage dysplasia in addition to cytomorphology. The utility of FCM in prediction of treatment response is promising. Therefore, FCM is an essential tool in standard diagnostic strategies in case of suspected MDS, and ready for general application.

Genomic array as compared to karyotyping in myelodysplastic syndromes in a prospective clinical trial

Karyotyping is considered as the gold standard in the genetic subclassification of myelodysplastic syndrome (MDS). Oligo/SNP‐based genomic array profiling is a high‐resolution tool that also enables genome wide analysis. We compared karyotyping with oligo/SNP‐based array profiling in 104 MDS patients from the HOVON‐89 study. Oligo/SNP‐array identified all cytogenetically defined genomic lesions, except for subclones in two cases and balanced translocations in three cases. Conversely, oligo/SNP‐based genomic array profiling had a higher success rate, showing 55 abnormal cases, while an abnormal karyotype was found in only 35 patients. In nine patients whose karyotyping was unsuccessful because of insufficient metaphases or failure, oligo/SNP‐based array analysis was successful. Based on cytogenetic visible abnormalities as identified by oligo/SNP‐based genomic array prognostic scores based on IPSS/‐R were assigned. These prognostic scores were identical to the IPSS/‐R scores as obtained with karyotyping in 95%‐96% of the patients. In addition to the detection of cytogenetically defined lesions, oligo/SNP‐based genomic profiling identified focal copy number abnormalities or regions of copy neutral loss of heterozygosity that were out of the scope of karyotyping and fluorescence in situ hybridization. Of interest, in 26 patients we demonstrated such cytogenetic invisible abnormalities. These abnormalities often involved regions that are recurrently affected in hematological malignancies, and may therefore be of clinical relevance. Our findings indicate that oligo/SNP‐based genomic array can be used to identify the vast majority of recurrent cytogenetic abnormalities in MDS. Furthermore, oligo/SNP‐based array profiling yields additional genetic abnormalities that may be of clinical importance.

Activation of NF-κB driven inflammatory programs in mesenchymal elements attenuates hematopoiesis in low-risk myelodysplastic syndromes

HighlightsActivation of NF-κB signaling in mesenchymal cells is common in LR-MDS.Activation of NF-κB in mesenchymal cells leads to transcriptional overexpression of inflammatory factors including negative regulators of hematopoiesis.Activation of NF-κB attenuates HSPC numbers and function ex vivo.