Flow cytometry evaluation of erythroid and myeloid dysplasia in patients with myelodysplastic syndrome

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

Flow cytometry (FC) is recognized as an important tool in the diagnosis of myelodysplastic syndromes (MDS) especially when standard criteria fail. A working group within the Dutch Society of Cytometry aimed to implement FC in the diagnostic work-up of MDS. Hereto, guidelines for data acquisition, analysis and interpretation were formulated. Based on discussions on analyses of list mode data files and fresh MDS bone marrow samples and recent literature, the guidelines were modified. Over the years (2005-2011), the concordance between the participating centers increased indicating that the proposed guidelines contributed to a more objective, standardized FC analysis, thereby ratifying the implementation of FC in MDS.

Prognostic relevance of cytometric quantitative assessment in patients with myelodysplastic syndromes

OBJECTIVES

Morphology and cytogenetics are currently used to define prognosis in myelodysplastic syndromes (MDS). However, these parameters have some limits. Flow cytometry has been recently included in the diagnostic panel for MDS, and its prognostic significance is under evaluation.

METHODS

Marrow aspirates from 424 MDS patients were analyzed by flow cytometry to evaluate the impact of bone marrow cell immunophenotype on overall survival (OS) and leukemia-free survival (LFS). The immature compartment of myeloblasts was analyzed by the quantitative expression of CD34 (<3% vs. ≥3%), CD117, and CD11b(-) /CD66b(-) (<5% vs. ≥5%); myeloid maturation was analyzed by the expression of CD11b(+) /CD66b(++) (<15% vs. ≥15%) and CD11b(+) /CD66b(+) (<25% vs. ≥25%).

RESULTS

In univariate analysis, the expression of immaturity markers (CD34(+) , CD117(+) , and CD11b(-) /CD66b(-) ) was associated with shorter LFS and OS (P < 0.0001); higher expression of differentiation markers (CD11b(+) /CD66b(++) and CD11b(+) /CD66b(+) ) was associated with longer LFS (P < 0.0001 and P = 0.0002, respectively) and OS (P < 0.0001). In multivariate analysis, expression of CD34(+) (P = 0.007), CD117(+) (P = 0.013), and CD11b(+) /CD66b(++) (P = 0.023) retained independent prognostic value for OS, while only the expression of CD34(+) was a prognostic factor for LFS (P = 0.0003). Two different risk groups were defined according to the presence of 0-1 or ≥2 of these factors with significant different LFS and OS (P < 0.0001). This score showed prognostic value in predicting survival even in subanalysis according to IPSS and WHO subgroups.

CONCLUSIONS

Flow cytometric analysis in MDS may provide meaningful prognostic information. Blast percentage expressed as CD117(+) or CD34(+) cells and the quantitative assessment of myeloid maturation showed prognostic value for survival.

Flow cytometry immunophenotyping for the evaluation of bone marrow dysplasia

The pathological hallmark of myelodysplastic syndromes (MDS) is marrow dysplasia, which represents the basis of the WHO classification of these disorders. This classification provides clinicians with a useful tool for defining the different subtypes of MDS and determining individual prognosis. The WHO proposal has raised some concern regarding minimal diagnostic criteria particularly in patients with normal karyotype without robust morphological markers of dysplasia (such as ring sideroblasts or excess of blasts). Therefore, there is clearly a need to refine the accuracy to detect marrow dysplasia. Flow cytometry (FCM) immunophenotyping has been proposed as a tool to improve the evaluation of marrow dysplasia. Rationale for the application of FCM in the diagnostic work up of MDS is that immunophenotyping is an accurate method for quantitative and qualitative evaluation of hematopoietic cells and that MDS have been found to have abnormal expression of several cellular antigens. To become clinically applicable, FCM analysis should be based on parameters with sufficient specificity and sensitivity, data should be reproducible between different operators and the results should be easily understood by clinicians. In this report, we reviewed the most relevant progresses in detection of marrow dysplasia by FCM in MDS as defined by WHO criteria.

Review of the relevance of aberrant antigen expression by flow cytometry in myeloid neoplasms

This article reviews the use of aberrant antigen expression detected by flow cytometry in the diagnosis and clinical handling of acute myeloid leukaemia (AML) and the myelodysplastic syndromes (MDS). Such aberrancies offer a valuable tool for the proper classification of these myeloid malignancies according the World Health Organization 2008 classification. Aberrant antigen expression by flow cytometry is also important for prognostification. This review supports the view, that minimal residual disease detection methods that make use of such aberrancies should be part of the routine management of AML patients to guide therapy, but also suggests the introduction of flow cytometry in MDS for diagnosis and treatment decisions in the near future.

Immunophenotypic pattern of myeloid populations by flow cytometry analysis

We present our experience with immunophenotypic characteristics of benign and malignant myeloid populations, with emphasis on differential diagnosis especially between eosinophils, dysplastic granulocytes, neoplastic promyelocytes, and monocytes. Eosinophils are characterized by bright CD45, high side scatter (SSC), very low forward scatter (FSC), positive CD11b, CD11c, CD13, CD15, and CD33. They are negative for CD10, CD14, CD16, CD56, CD64, and HLA-DR. Mature monocytes are positive for CD11b, CD11c, CD13, CD14, CD33, and CD64, and may express CD2 and CD4. Blasts in acute myeloid leukemias (AML) with minimal differentiation have low SSC and moderate CD45 expression and are positive for CD34, CD117, CD13, HLA-DR, and CD33 and may be positive for TdT, CD4, and CD11c. In acute promyelocytic leukemia (APL), four FC patterns can be recognized. The majority of cases represented classical (hypergranular) APL and were characterized by high SSC, positive CD117, usually negative CD34, heterogeneous CD13, and bright CD33 (pattern 1). The second most common type, corresponding to hypogranular (microgranular) variant of APL, differed from classical APL by low SSC and frequent coexpression of CD2 and CD34 (pattern 2). Rare cases of APL (pattern3) showed mixture of neoplastic cells (SSC(low)/CD2(+)/CD13(+)/CD33(+)/CD34(+)/CD117(+)) and prominent population of benign granulocytes/maturing myeloid precursors (SSC(high)/CD10(+/-)/CD16(+/()/CD117(()). One case showed two APL populations, one with hypogranular and one with hypergranular characteristics (pattern 4). Detailed phenotypic characteristics of neoplastic monocytes and dysplastic granulocytes with their differential diagnosis are also presented.

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

A heterogeneous spectrum of immunophenotypic abnormalities have been reported in myelodysplastic syndromes (MDS). However, most studies are restricted to the analysis of CD34(+) cells and/or other major subsets of CD34(-) cells, frequently not exploring the diagnostic and prognostic impact of immunophenotyping.

METHODS

We propose for the first time an immunophenotypic score (IS) based on the altered distribution and immunophenotypic features of maturing/mature compartments of bone marrow (BM) hematopoietic cells in 56 patients with MDS that could contribute to a refined diagnosis and prognostic evaluation of the disease.

RESULTS

Although MDS-associated phenotypes were detected in reactive BM, the overall immunophenotypic profile of BM cells allowed an efficient discrimination between MDS and both normal and reactive BM, once the number and degree of severity of the abnormalities detected per patient were simultaneously considered in the proposed IS. Interestingly, increasingly higher IS were found among patients with MDS showing adverse prognostic factors and in low- versus high-grade cases. The most informative prognostic factors included the number of CD34(+) cells, presence of aberrant CD34(-)/CD117(+) precursors, decreased mature neutrophils and CD34(-) erythroid precursors, and increased numbers of CD36(-/lo) erythroid precursors; in addition, the IS was an independent prognostic factor for overall survival.

CONCLUSIONS

Assessment of immunophenotypic abnormalities of maturing/mature BM cells allows an efficient discrimination between MDS and both normal and reactive BM, once the number and degree of severity of the abnormalities detected are simultaneously scored. Interestingly, progressively higher IS were found among patients with MDS with adverse prognostic features and shorter overall survival.

The specificity of immunophenotypic alterations in blasts in nonacute myeloid disorders

Data regarding flow cytometry (FC) in nonacute myeloid disorders is confounded by variable gating strategies and controls limited to normal bone marrow (BM) samples. Blasts in diagnostic BM samples of myelodysplastic syndromes (MDSs), myeloproliferative neoplasms (MPNs), and chronic myelomonocytic leukemias (CMMLs) were compared with 20 nonneoplastic cytopenias/cytoses (CCs) and negative staging BM samples using 4-color FC. Blasts in 10 of 20 CCs showed immunophenotypic differences vs control samples. Immunophenotypic alterations were identified in 18 of 21 MDSs, 11 of 14 MPNs, and 7 of 7 CMMLs vs control samples and 13 (62%) of 21 MDSs, 7 (50%) of 14 MPNs, and 3 (43%) of 7 CMMLs vs CCs. Neoplastic-specific blast immunophenotypic changes included expression of CD7, CD11b, CD15, CD36, and CD56; CD34 overexpression; HLA-DR variability; lack of CD13 and CD33; underexpression of CD13, CD33, CD45, and HLA-DR; and partial loss of CD13, CD33, CD38, and CD117. In all cases, blasts were CD34+. Several blast immunophenotypic alterations are shared in neoplastic and nonneoplastic BM samples. Approximately 40% to 60% of neoplastic BM samples exhibited aberrancies not seen in reactive BM samples.

CD71 (transferrin receptor): an effective marker for erythroid precursors in bone marrow biopsy specimens

Accurate analysis of the erythroid lineage is essential in evaluating bone marrow biopsy specimens and can be particularly challenging in the setting of dyserythropoiesis. Transferrin receptor (CD71) mediates the uptake of transferrin-iron complexes and is highly expressed on the surface of cells of the erythroid lineage. Although CD71 has been used for flow cytometric analysis, its usefulness in paraffin-embedded bone marrow biopsy specimens has not been examined. This study defined the immunohistochemical profile of CD71, as compared with glycophorin A (CD235a) and hemoglobin, in 65 bone marrow biopsy specimens, including normal marrow specimens and cases of myelodysplastic syndrome, acute myeloid leukemia, acute lymphoblastic leukemia, plasma cell neoplasm, and metastatic carcinoma. Immunoreactivity for CD71 was restricted to erythroid precursors in normal and dyspoietic marrow samples and exhibited a membranous and cytoplasmic staining pattern. The vast majority of mature erythrocytes lack expression of CD71, greatly facilitating interpretation. CD71 is a highly effective marker for the detection of cells of erythroid lineage in bone marrow biopsy specimens.

Standardization of flow cytometry in myelodysplastic syndromes: report from the first European LeukemiaNet working conference on flow cytometry in myelodysplastic syndromes

The myelodysplastic syndromes are a group of clonal hematopoietic stem cell diseases characterized by cytopenia(s), dysplasia in one or more cell lineages and increased risk of evolution to acute myeloid leukemia (AML). Recent advances in immunophenotyping of hematopoietic progenitor and maturing cells in dysplastic bone marrow point to a useful role for multiparameter flow cytometry (FCM) in the diagnosis and prognostication of myelodysplastic syndromes. In March 2008, representatives from 18 European institutes participated in a European LeukemiaNet (ELN) workshop held in Amsterdam as a first step towards standardization of FCM in myelodysplastic syndromes. Consensus was reached regarding standard methods for cell sampling, handling and processing. The group also defined minimal combinations of antibodies to analyze aberrant immunophenotypes and thus dysplasia. Examples are altered numbers of CD34(+) precursors, aberrant expression of markers on myeloblasts, maturing myeloid cells, monocytes or erythroid precursors and the expression of lineage infidelity markers. When applied in practice, aberrant FCM patterns correlate well with morphology, the subclassification of myelodysplastic syndromes, and prognostic scoring systems. However, the group also concluded that despite strong evidence for an impact of FCM in myelodysplastic syndromes, further (prospective) validation of markers and immunophenotypic patterns are required against control patient groups as well as further standardization in multi-center studies. Standardization of FCM in myelodysplastic syndromes may thus contribute to improved diagnosis and prognostication of myelodysplastic syndromes in the future.

Diagnostic utility of flow cytometry in low-grade myelodysplastic syndromes: a prospective validation study

BACKGROUND

The diagnosis of myelodysplastic syndromes is not always straightforward when patients lack specific diagnostic markers, such as blast excess, karyotype abnormality, and ringed sideroblasts.

DESIGN AND METHODS

We designed a flow cytometry protocol applicable in many laboratories and verified its diagnostic utility in patients without those diagnostic markers. The cardinal parameters, analyzable from one cell aliquot, were myeloblasts (%), B-cell progenitors (%), myeloblast CD45 expression, and channel number of side scatter where the maximum number of granulocytes occurs. The adjunctive parameters were CD11b, CD15, and CD56 expression (%) on myeloblasts. Marrow samples from 106 control patients with cytopenia and 134 low-grade myelodysplastic syndromes patients, including 81 lacking both ringed sideroblasts and cytogenetic aberrations, were prospectively analyzed in Japan and Italy.

RESULTS

Data outside the predetermined reference range in 2 or more parameters (multiple abnormalities) were common in myelodysplastic syndromes patients. In those lacking ringed sideroblasts and cytogenetic aberrations, multiple abnormalities were observed in 8/26 Japanese (30.8%) and 37/55 Italians (67.3%) when the cardinal parameters alone were considered, and in 17/26 Japanese (65.4%) and 42/47 Italians (89.4%) when all parameters were taken into account. Multiple abnormalities were rare in controls. When data from all parameters were used, the diagnostic sensitivities were 65% and 89%, specificities were 98% and 90%, and likelihood ratios were 28.1 and 8.5 for the Japanese and Italian cohorts, respectively.

CONCLUSIONS

This protocol can be used in the diagnostic work-up of low-grade myelodysplastic syndromes patients who lack specific diagnostic markers, although further improvement in diagnostic power is desirable.

Advanced pediatric myelodysplastic syndromes: can immunophenotypic characterization of blast cells be a diagnostic and prognostic tool?

BACKGROUND

The diagnosis of myelodysplastic syndromes (MDS) is mainly based on morphology and cytogenetic analysis. Several efforts to analyze MDS by flow cytometry have been reported in adults. These studies have focused on the identification of abnormalities in the maturation pathway of antigen expression of myelo-monocytic cells, and characterization of blast populations. Therefore, phenotype has been proposed as a diagnostic and prognostic criterion tool for adult MDS. The current article provides data concerning the blast phenotype in pediatric MDS.

PROCEDURE

We evaluated by multiparameter flow cytometry 26 MDS pediatric patients with more than 2% of blast cells at bone marrow morphological examination (17 de novo MDS and 9 secondary MDS) and 145 pediatric de novo acute myeloid leukemia (AML) cases (M3 excluded). As control group, 12 healthy age-matched donors for allogenic bone marrow transplantation (BMD) and 6 regenerating bone marrow samples, collected from children with acute lymphoblastic leukemia (ALL) in remission after induction chemotherapy, were studied.

RESULTS

We identified a blast immunophenotype typically expressed in most MDS cases and a strong correlation between CD7 expression and poor outcome. CD34+ compartment in MDS bone marrow was also analyzed: a significant decrease of B-cell precursors was detected in MDS patients independent of age.

CONCLUSIONS

Our data suggest that the blasts phenotypic features can constitute a diagnostic and prognostic tool also for pediatric MDS.

The utility of flow cytometric immunophenotyping in cytopenic patients with a non-diagnostic bone marrow: a prospective study

Cytopenia is a common problem in hematology outpatient clinics and among hospitalized patients. A bone marrow (BM) aspirate and biopsy are often performed to rule out an infiltrative versus intrinsic BM process, such as myelodysplastic syndrome (MDS). We have previously described a flow cytometric (FCM) assay useful in diagnosing MDS and demonstrated its good correlation with "gold standard" morphologic and cytogenetic criteria. In this study, we prospectively tested the utility of the FCM assay in 102 cytopenic patients with BMs showing neither diagnostic morphological dysplasia nor abnormal cytogenetics. FCM, following our published criteria, was positive in 22 cases (21.6%), intermediate in 11 cases (10.8%) and negative in 69 cases (67.6%). With a median follow-up period of 11 months (range, 4-24 months), 12 (11.8%) patients were proven to have or/develop MDS or related BM diseases (group-1); 61 (59.8%) patients had their cytopenia(s) attributed to various medical causes (group-2). In the remaining 29 patients, the causes of cytopenia(s) were not found, and some had the features consistent with the recently defined clinical entity -- idiopathic cytopenia of uncertain significance. A positive FCM result was significantly more prevalent (9/12, 75%) in group-1 patients; while a negative FCM result was significantly more frequent in group-2 patients (4/61, 7%) (p<0.0001) with a positive predictive value of 69% and a negative predictive value of 95%. We conclude that FCM analysis of myelomonocytic maturation has diagnostic utility in cytopenic patients who have an inconclusive BM examination by morphologic and cytogenetic evaluation, and may therefore be a useful adjunct in clinical management of these patients.

Diagnostic flow cytometry for low-grade myelodysplastic syndromes

It has long been considered that flow cytometry (FCM) has little role in clinical practice in the diagnosis of myelodysplastic syndromes (MDS). However, recent advances in the analytical method and knowledge of MDS FCM are changing this stereotype. This paper reviews the concept and current status of FCM in the diagnosis of low-grade MDS. The diagnosis of low-grade MDS in the absence of ringed sideroblasts and chromosomal aberration is not always straightforward, and a report from a recent international working conference has proposed FCM as an adjunctive diagnostic test for such cases. Currently, only a limited number of laboratories are applying FCM to the diagnosis of MDS. Furthermore, standard analytical methods in FCM for MDS have not been established, and no single FCM parameter is sufficiently sensitive and specific to make the diagnosis of MDS. To establish MDS FCM as a widely accepted, dependable diagnostic tool, prospective studies should increase flow parameters that can be analysed reproducibly and determine their sensitivity and specificity, either alone or in combination. CD34+ cell-related parameters that are applicable for diagnosing low-grade MDS in many laboratories are introduced here.

Myelodysplastic syndromes: diagnosis and staging

Myelodysplastic syndromes (MDS) represent a heterogeneous group of hematologic disorders characterized by ineffective hematopoiesis and an increased risk of developing acute myelogenous leukemia (AML). Accurate diagnosis of MDS can be difficult, and its classification requires evaluation of cytopenias, bone marrow morphology, blast percentage, and cytogenetics. These factors, as well as patient performance status and red blood cell transfusion dependence, can be used to predict prognosis in MDS. Accurate diagnosis and classification are essential for subgroup identification and prognostic assessment of patients with MDS. This article reviews essential criteria for staging and subgroup classification and summarizes prognostic scoring systems that aid in risk stratification and selection of optimal therapy. Classification systems such as the World Health Organization (WHO) classification are widely used but do not always provide sufficient prognostic information. This limitation led to the creation of the International Prognostic Scoring System (IPSS). However, this system was designed to be used only at diagnosis and may not be suitable for serial assessment of patients whose disease can evolve over time. The WHO classification-based prognostic scoring system (WPSS) permits dynamic estimation of survival and risk of AML transformation at multiple time points during the natural course of MDS. Prognostic scoring systems such as WPSS allow for prediction of survival and risk of leukemic evolution at any time during the course of the disease. Such an approach may provide a useful adjunct for clinical decision making, including selection of appropriate treatment options.

Extended flow cytometry characterization of normal bone marrow progenitor cells by simultaneous detection of aldehyde dehydrogenase and early hematopoietic antigens: implication for erythroid differentiation studies

Background

Aldehyde dehydrogenase (ALDH) is a cytosolic enzyme highly expressed in hematopoietic precursors from cord blood and granulocyte-colony stimulating factor mobilized peripheral blood, as well as in bone marrow from patients with acute myeloblastic leukemia. As regards human normal bone marrow, detailed characterization of ALDH⁺ cells has been addressed by one single study (Gentry et al, 2007). The goal of our work was to provide new information about the dissection of normal bone marrow progenitor cells based upon the simultaneous detection by flow cytometry of ALDH and early hematopoietic antigens, with particular attention to the expression of ALDH on erythroid precursors. To this aim, we used three kinds of approach: i) multidimensional analytical flow cytometry, detecting ALDH and early hematopoietic antigens in normal bone marrow; ii) fluorescence activated cell sorting of distinct subpopulations of progenitor cells, followed by in vitro induction of erythroid differentiation; iii) detection of ALDH⁺ cellular subsets in bone marrow from pure red cell aplasia patients.

Results

In normal bone marrow, we identified three populations of cells, namely ALDH⁺CD34⁺, ALDH^-CD34⁺ and ALDH⁺CD34^- (median percentages were 0.52, 0.53 and 0.57, respectively). As compared to ALDH^-CD34⁺ cells, ALDH⁺CD34⁺ cells expressed the phenotypic profile of primitive hematopoietic progenitor cells, with brighter expression of CD117 and CD133, accompanied by lower display of CD38 and CD45RA. Of interest, ALDH⁺CD34^- population disclosed a straightforward erythroid commitment, on the basis of three orders of evidences. First of all, ALDH⁺CD34^- cells showed a CD71^bright, CD105⁺, CD45^- phenotype. Secondly, induction of differentiation experiments evidenced a clear-cut expression of glycophorin A (CD235a). Finally, ALDH⁺CD34^- precursors were not detectable in patients with pure red cell aplasia (PRCA).

Conclusion

Our study, comparing surface antigen expression of ALDH⁺/CD34⁺, ALDH^-/CD34⁺ and ALDH⁺/CD34^- progenitor cell subsets in human bone marrow, clearly indicated that ALDH⁺CD34^- cells are mainly committed towards erythropoiesis. To the best of our knowledge this finding is new and could be useful for basic studies about normal erythropoietic differentiation as well as for enabling the employment of ALDH as a red cell marker in polychromatic flow cytometry characterization of bone marrow from patients with aplastic anemia and myelodysplasia.

Flow cytometric analysis of myelomonocytic cells by a pattern recognition approach is sensitive and specific in diagnosing myelodysplastic syndrome and related marrow diseases: Emphasis on a global evaluation and recognition of diagnostic pitfalls

Published data on flow cytometry (FCM) in diagnosing myelodysplastic syndromes (MDS) varies greatly in analytic methods and interpretational approaches. We tested the diagnostic utility of the pattern recognition approach by a retrospective review of 180 MDS, 31 myelodysplastic/myeloproliferative disease (MDS/MPD), 37 non-MDS cytopenia and 20 myeloproliferative disease (MPD) cases. Cases were placed into "positive", "intermediate", and "negative" FCM categories based upon the antigenic aberrations observed on myelomonocytic cells. By exclusion or inclusion of the intermediate category as indicative of MDS or MDS/MPD, the overall sensitivity and specificity were 84% and 97% or 98% and 78%, respectively. The overall abnormalities detected by FCM correlated with the severity of morphological dysplasia and clonal cytogenetic abnormalities. MPD also demonstrated immunophenotypic aberrancy. Based on a global evaluation of myelomonocytic abnormalities, and recognition of diagnostic pitfalls and caveats, the pattern recognition approach of FCM is sensitive and reliable in diagnosing MDS and related myeloid diseases.

Flow cytometry in myelodysplastic syndromes: Report from a working conference

Since new therapeutic strategies are emerging in myelodysplastic syndromes (MDS), a refined diagnostic procedure of the several subgroups of MDS is of increased importance. Multidimensional flow cytometry may add significantly to a more detailed analysis of the hematopoietic lineages with respect to qualification and quantification of bone marrow cells and is described in detail. Clearly defined aberrancies on myeloid immature and maturing cells are now identified with possible impact on diagnosis, classification and prognostication in the near feature.

Identification of distinct prognostic subgroups in low- and intermediate-1-risk myelodysplastic syndromes by flow cytometry

The World Health Organization (WHO) classification contributes to refined classification and prognostication of myelodysplastic syndromes (MDSs). Flow cytometry might add significantly to diagnostic and prognostic criteria. Our analysis of bone marrow samples from 50 patients with MDS showed aberrant expression of differentiation antigens in the myelomonocytic lineage. This also accounted for refractory anemia (RA) with or without ringed sideroblasts (RS), indicating multilineage dysplasia. In 38% of patients, CD34(+) myeloid blasts expressed CD5, CD7, or CD56. Flow cytometry data were translated into a numerical MDS flow-score. Flow-scores increased significantly from RA with or without RS, refractory cytopenia with multilineage dysplasia (RCMD) with or without RS up to refractory anemia with excess of blasts-1 (RAEB-1) and RAEB-2. No significant differences were observed between WHO cytogenetic subgroups. Flow-scores were highly heterogeneous within International Prognostic Scoring System (IPSS) subgroups. Patients in progression to advanced MDS or acute myeloid leukemia had a significantly higher flow-score compared with non-transfusion-dependent patients. In 60% of patients with transfusion dependency or progressive disease, myeloid blasts expressed CD7 or CD56, in contrast to only 9% of non-transfusion-dependent patients. Moreover, all patients with pure RA with or without RS with aberrant myeloid blasts showed an adverse clinical course. In conclusion, flow cytometry in MDS identified aberrancies in the myelomonocytic lineage not otherwise determined by cytomorphology. In addition, flow cytometry identified patients at risk for transfusion dependency and/or progressive disease independent of known risk groups, which might have impact on treatment decisions and the prognostic scoring system in the near future.

Myeloid Malignancies: Myelodysplastic Syndromes, Myeloproliferative Disorders, and Acute Myeloid Leukemia

As hematopoietic cells proceed in differentiation from stem cells to committed progenitors to later stage mature forms, they undergo a sequence of morphologic, immunophenotypic, and functional changes that are a consequence of interaction between the underlying cellular genetic program and environmental cues, are linear for each cell lineage, and result in a pattern of antigenic expression related to lineage and stage of maturation. The antigenic patterns characteristic of normal maturation have been elucidated systematically and found invariant between individuals. Deviation from this pattern is a hallmark of hematopoietic neoplasia. Application of these principles to myelodysplastic syndromes, myeloproliferative disorders, and acute myeloid leukemia is presented and illustrated.

Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes

PURPOSE

The aims of this study were to identify the most significant prognostic factors in myelodysplastic syndromes (MDS) taking into account both their values at clinical onset and their changes in time and to develop a dynamic model for predicting survival and leukemic evolution that can be applied at any time during the course of the disease.

PATIENTS AND METHODS

We studied a learning cohort of 426 MDS patients diagnosed at the Department of Hematology, San Matteo Hospital, Pavia, Italy, between 1992 and 2004, and a validation cohort of 739 patients diagnosed at the Heinrich-Heine-University Hospital, Düsseldorf, Germany, between 1982 and 2003. All patients were reclassified according to WHO criteria. Univariable and multivariable analyses were performed using Cox models with time-dependent covariates.

RESULTS

The most important variables for the prognostic model were WHO subgroups, karyotype, and transfusion requirement. We defined a WHO classification-based prognostic scoring system (WPSS) that was able to classify patients into five risk groups showing different survivals (median survival from 12 to 103 months) and probabilities of leukemic evolution (P < .001). WPSS was shown to predict survival and leukemia progression at any time during follow-up (P < .001), and its prognostic value was confirmed in the validation cohort.

CONCLUSION

WPSS is a dynamic prognostic scoring system that provides an accurate prediction of survival and risk of leukemic evolution in MDS patients at any time during the course of their disease. This time-dependent system seems particularly useful in lower risk patients and may be used for implementing risk-adapted treatment strategies.

Detection of hematopoietic maturation abnormalities by flow cytometry in myelodysplastic syndromes and its utility for the differential diagnosis with non-clonal disorders

The diagnosis of myelodysplastic syndromes (MDS) is based on peripheral cytopenias, bone marrow (BM) morphology and karyotyping. This may be difficult in cases with few dysplastic elements in BM and a normal karyotype. We examined the utility of flow cytometric analysis for the differential diagnosis between MDS and non-clonal disorders (NCD) presenting peripheral cytopenias. Quantitative assessment of CD45, CD16, CD13, CD11b, CD10 and CD64 in granulocytes and monocytes, and CD71 and glycophorin A in erythroblasts besides CD34+ cell count was performed in BM of 31 consecutive newly diagnosed patients with MDS, 11 patients with NCD and 11 healthy controls (BM donors). In MDS, the median number of phenotypic abnormalities found was 3 (1-8). The WPSS score showed a correlation with the total number of changes per case (r=0.48; p=0.002). Decreased SSC in promyelocytes correlated with the peripheral neutrophil count (r=-0.46; p=0.007). In NCD, the normal variation of antigen expression along granulocytic and erythroblast maturation was always maintained. In the discriminant analysis, SSC of CD34+ cells, together with that of promyelocytes and metamyelocytes were able to correctly classify 87% of the cases as clonal or non-clonal. Our quantitative approach permitted to detect at least one abnormality in antigen expression in every case of MDS. However, the most important parameters for differential diagnosis with NCD were the analysis of the granularity in immature cells, especially of the granulocytic series.

The Role of Flow Cytometric Immunophenotyping in Myelodysplastic Syndromes

The myelodysplastic syndromes (MDSs) are a group of heterogeneous hematological disorders characterized by bilineage or trilineage dysplastic morphology, abnormal clonal populations, progressive bone marrow failure, and a high rate of transformation to acute myeloid leukemia. A combination of morphology, to detect multilineage dysplasia in the bone marrow and peripheral blood, and cytogenetics to detect characteristic clonal abnormalities, is used in establishing a diagnosis of MDS. Although diagnostic criteria are well established, a significant number of patients have blood and bone marrow findings that make diagnosis and classification difficult. Flow cytometric immunophenotyping is an accurate and highly sensitive method for quantitative and qualitative evaluation of hematopoietic cells in the different maturative compartments, and several groups have used flow cytometry in the study of MDSs. Findings of recent studies suggest that flow cytometry immunophenotyping might provide useful information in the diagnosis and the management of MDS patients.

Evaluation of CD7 and terminal deoxynucleotidyl transferase (TdT) expression in CD34+ myeloblasts from patients with myelodysplastic syndrome

There is an emerging use of flow cytometry to evaluate patients with myelodysplastic syndrome (MDS). We have studied CD7 and TdT expression in the CD34+ myeloid blast cell population in 55 bone marrow samples of patients with MDS. CD7 and/or TdT were detected in 38 out of 55 patients (69%). CD7 expression was not related to other bad prognosis data but conversely, we found an association between TdT+ CD34 myeloblasts and high-risk MDS patients according to the International Prognostic Scoring System. Therefore, CD7 and TdT may help to establish the diagnosis of MDS and, TdT expression also seems to be a useful marker in distinguishing risk groups.

Flow cytometry evaluation of erythroid dysplasia in patients with myelodysplastic syndrome

Erythroid dysplasia is the pathologic hallmark of myelodysplastic syndromes (MDS). To develop a quantitative flow-cytometry approach to its evaluation, we analyzed the expression of CD71, CD105, cytosolic H-ferritin (HF), cytosolic L-ferritin (LF) and mitochondrial ferritin (MtF) in erythroblasts from 104 MDS patients, 69 pathologic control patients and 19 healthy subjects. Six-parameter, 4-color flow cytometry was employed, and data were expressed as mean fluorescence intensity. Compared with pathologic and healthy controls, MDS patients had higher expression of HF (P < 0.001) and CD105 (P < 0.001), and lower expression of CD71 (P < 0.001). MtF was specifically detected in MDS with ringed sideroblasts, and there was a close relationship between its expression and Prussian blue staining (r = 0.89, P < 0.001). In vitro cultures of myelodysplastic hematopoietic progenitors showed that both HF and MtF were expressed at a very early stage of erythroid differentiation, and that MtF expression is specifically related to mitochondrial iron loading. A classification function based on expression levels of HF, CD71 and CD105 allowed us to correctly classify > 95% of MDS patients. This flow-cytometry approach provides an accurate quantitative evaluation of erythroid dysplasia and allows a reliable diagnosis of sideroblastic anemia, and may therefore be a useful tool in the work-up of patients with MDS.

Myelodysplastic Syndromes: Recent Progress in Diagnosis and Understanding of Their Pathophysiology

Myelodysplastic syndromes (MDS) are common malignant disorders with a poor prognosis. MDS are a group of highly heterogeneous disorders but show certain universal findings including a high incidence in the elderly population, cytopenia, dysplastic myeloid cells, and frequent transformation to acute myeloid leukemia. Until recently, the vast majority of MDS patients were treated with supportive therapy alone, such as transfusions. Allogeneic stem cell transplantation (SCT) has the potential for cure, although due to the age and comorbidity of MDS patients, the role of allogeneic SCT in MDS has been limited. Recently, research in MDS has shown substantial advances that have deepened our understanding of MDS pathophysiology and changed our approach to MDS patients. This review touches on some recent developments in the diagnosis and pathophysiology of MDS.

The myelodysplastic syndromes: diagnosis and treatment

The myelodysplastic syndromes (MDSs) are common, acquired, clinically challenging hematologic conditions that are characterized by bone marrow failure and a risk of progression to acute leukemia. These disorders can arise de novo, especially in elderly patients or, less often, as a consequence of prior chemotherapy or radiotherapy for an unrelated disease. The MDS classification systems were revised recently and updated. These refined classification and prognostic schemes help stratify patients by their risk of leukemia progression and death; this knowledge can help clinicians select appropriate therapy. Although many treatments for MDS have been proposed and evaluated, at present, only hematopoietic stem cell transplantation offers any real hope for cure, and no available therapy beyond general supportive care offers benefit to more than a minority of patients. However, recent clinical trials enrolling patients with MDS have reported encouraging results with use of newer drugs, including lenalidomide, decitabine, and darbepoetin alfa. Other exciting treatment regimens are being tested. Here, we present a contemporary, practical clinical approach to the diagnosis and risk-stratified treatment of MDS. We review when to suspect MDS, detail how to evaluate patients who may have a form of the condition, explain key features of treatments that are currently available in the United States, and summarize a general, common-sense therapeutic approach to patients with MDS.