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Presents a letter to the editor about unprocessed G-CSF mobilized whole blood.

Myelodysplastic syndromes (MDS) comprise hematological disorders that originate from the neoplastic transformation of hematopoietic stem cells (HSCs). However, discrimination between HSCs and their neoplastic counterparts in MDS-derived bone marrows (MDS-BMs) remains challenging. We hypothesized that in MDS patients immature CD34 + CD38 - cells with aberrant expression of immunophenotypic markers reflect neoplastic stem cells and that their frequency predicts leukemic progression. We analyzed samples from 68 MDS patients and 53 controls and discriminated HSCs from immunophenotypic aberrant HSCs (IA-HSCs) expressing membrane aberrancies (CD7, CD11b, CD22, CD33, CD44, CD45RA, CD56, CD123, CD366 or CD371). One-third of the MDS-BMs (23/68) contained IA-HSCs. The presence of IA-HSCs correlated with perturbed hematopoiesis (disproportionally expanded CD34 + subsets beside cytopenias) and an increased hazard of leukemic progression (HR = 25, 95% CI: 2.9-218) that was independent of conventional risk factors. At 2 years follow-up, the sensitivity and specificity of presence of IA-HSCs for predicting leukemic progression was 83% (95% CI: 36-99%) and 71% (95% CI: 58-81%), respectively. In a selected cohort (n = 10), most MDS-BMs with IA-HSCs showed genomic complexity and high human blast counts following xenotransplantation into immunodeficient mice, contrasting MDS-BMs without IA-HSCs. This study demonstrates that the presence of IA-HSCs within MDS-BMs predicts leukemic progression, indicating the clinical potential of IA-HSCs as a prognostic biomarker., (© 2023. The Author(s).)

Measurable residual disease (MRD) in AML, assessed by multicolor flow cytometry, is an important prognostic factor. Progenitors are key populations in defining MRD, and cases of MRD involving these progenitors are calculated as percentage of WBC and referred to as white blood cell MRD (WBC-MRD). Two main compartments of WBC-MRD can be defined: (1) the AML part of the total primitive/progenitor (CD34+, CD117+, CD133+) compartment (referred to as primitive marker MRD; PM-MRD) and (2) the total progenitor compartment (% of WBC, referred to as PM%), which is the main quantitative determinant of WBC-MRD. Both are related as follows: WBC-MRD = PM-MRD × PM%. We explored the relative contribution of each parameter to the prognostic impact. In the HOVON/SAKK study H102 (300 patients), based on two objectively assessed cut-off points (2.34% and 10%), PM-MRD was found to offer an independent prognostic parameter that was able to identify three patient groups with different prognoses with larger discriminative power than WBC-MRD. In line with this, the PM% parameter itself showed no prognostic impact, implying that the prognostic impact of WBC-MRD results from the PM-MRD parameter it contains. Moreover, the presence of the PM% parameter in WBC-MRD may cause WBC-MRD false positivity and WBC-MRD false negativity. For the latter, at present, it is clinically relevant that PM-MRD ≥ 10% identifies a patient sub-group with a poor prognosis that is currently classified as good prognosis MRD negative using the European LeukemiaNet 0.1% consensus MRD cut-off value. These observations suggest that residual disease analysis using PM-MRD should be conducted.

Leukaemic stem cells (LSC) have been experimentally defined as the leukaemia-propagating population and are thought to be the cellular reservoir of relapse in acute myeloid leukaemia (AML). Therefore, LSC measurements are warranted to facilitate accurate risk stratification. Previously, we published the composition of a one-tube flow cytometric assay, characterised by the presence of 13 important membrane markers for LSC detection. Here we present the validation experiments of the assay in several large AML research centres, both in Europe and the United States. Variability within instruments and sample processing showed high correlations between different instruments (R pearson  > 0·91, P < 0·001). Multi-centre testing introduced variation in reported LSC percentages but was found to be below the clinical relevant threshold. Clear gating protocols resulted in all laboratories being able to perform LSC assessment of the validation set. Participating centres were nearly unanimously able to distinguish LSC high (>0·03% LSC) from LSC low (<0·03% LSC) despite inter-laboratory variation in reported LSC percentages. This study proves that the LSC assay is highly reproducible. These results together with the high prognostic impact of LSC load at diagnosis in AML patients render the one-tube LSC assessment a good marker for future risk classification., (© 2020 The Authors. British Journal of Haematology published by British Society for Haematology and John Wiley & Sons Ltd.)

Novel treatment strategies are of paramount importance to improve clinical outcomes in pediatric AML. Since chemotherapy is likely to remain the cornerstone of curative treatment of AML, insights in the molecular mechanisms that determine its cytotoxic effects could aid further treatment optimization. To assess which genes and pathways are implicated in tumor drug resistance, we correlated ex vivo drug response data to genome-wide gene expression profiles of 73 primary pediatric AML samples obtained at initial diagnosis. Ex vivo response of primary AML blasts towards cytarabine (Ara C), daunorubicin (DNR), etoposide (VP16), and cladribine (2-CdA) was associated with the expression of 101, 345, 206, and 599 genes, respectively ( p < 0.001, FDR 0.004-0.416). Microarray based expression of multiple genes was technically validated using qRT-PCR for a selection of genes. Moreover, expression levels of BRE , HIF1A , and CLEC7A were confirmed to be significantly ( p < 0.05) associated with ex vivo drug response in an independent set of 48 primary pediatric AML patients. We present unique data that addresses transcriptomic analyses of the mechanisms underlying ex vivo drug response of primary tumor samples. Our data suggest that distinct gene expression profiles are associated with ex vivo drug response, and may confer a priori drug resistance in leukemic cells. The described associations represent a fundament for the development of interventions to overcome drug resistance in AML, and maximize the benefits of current chemotherapy for sensitive patients.

Half of the patients with acute myeloid leukemia (AML), who achieve complete remission after chemotherapy treatment, will ultimately experience a relapse. Measurable residual disease (MRD) is an important post-treatment risk factor in AML, because it gives additional information about the depth of the remission. Within MRD, the small population of leukemic stem cells (LSCs) is thought to be at the base of the actual relapse. In this protocol, the flow cytometric detection of MRD and LSCs herein is outlined. We give a detailed overview of the sampling procedures for optimal multiparameter flow cytometry assessment of both MRD and LSC, using leukemia associated immunophenotypes (LAIPs) and LSC markers. Moreover, an overview of the gating strategies to detect LAIPs and LSC markers is provided. This protocol serves as guidance for flow cytometric detection of measurable residual (stem cell) disease necessary for proper therapeutic decision making in AML patients. © 2019 The Authors. Basic Protocol 1: Immunophenotypic LAIP detection for measurable residual disease monitoring Basic Protocol 2: Immunophenotypic detection of CD34+CD38- leukemic stem cells., (© 2019 The Authors.)

Measurable residual disease (MRD) can be assessed either by flow cytometry or molecular techniques. It has been proven to be highly prognostic in quite a number of prospective clinical studies. The recently published ELN MRD recommendations aim harmonize the approaches to MRD assessment in order to improve its overall quality. The predictive value leading to the usage as a surrogate endpoint for survival which would be instrumental for faster drug approvals has still to be proven. Nevertheless, many AML centers use MRD status to inform treatment., (Copyright © 2019. Published by Elsevier Ltd.)

Leukemic stem cells (LSCs), defined by CD34/CD38 expression, are believed to be essential for leukemia initiation and therapy resistance in acute myeloid leukemia. In addition, the side population (SP), characterized by high Hoechst 33342 efflux, reflecting therapy resistance, has leukemia initiating ability. The purpose of this study is, in both CD34-positive and CD34-negative AML, to integrate both types of LSC compartment into a new more restricted definition. Different CD34/CD38/SP defined putative LSC and normal hematopoietic compartments, with neoplastic or normal nature, respectively, were thus identified after cell sorting, and confirmed by FISH/PCR. Stem cell activity was assessed in the long-term liquid culture stem cell assay. SP fractions harbored the strongest functional stem cell activity in both normal and neoplastic cells in both CD34-positive and CD34-negative AML. Overall, inclusion of SP fraction decreased the size of the putative CD34/CD38 defined LSC compartment by a factor >500. For example, for the important CD34+CD38- LSC compartment, the median SP/CD34+CD38- frequency was 5.1 per million WBC (CD34-positive AML), and median SP/CD34-CD38+ frequency (CD34-negative AML) was 1796 per million WBC. Improved detection of LSC may enable identification of therapy resistant clones, and thereby identification of novel LSC specific, HSC sparing, therapies., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Current risk algorithms are primarily based on pre-treatment factors and imperfectly predict outcome in acute myeloid leukemia (AML). We introduce and validate a post-treatment approach of leukemic stem cell (LSC) assessment for prediction of outcome. LSC containing CD34+CD38- fractions were measured using flow cytometry in an add-on study of the HOVON102/SAKK trial. Predefined cut-off levels were prospectively evaluated to assess CD34+CD38-LSC levels at diagnosis (n = 594), and, to identify LSC low /LSC high (n = 302) and MRD low /MRD high patients (n = 305) in bone marrow in morphological complete remission (CR). In 242 CR patients combined MRD and LSC results were available. At diagnosis the CD34 + CD38 - LSC frequency independently predicts overall survival (OS). After achieving CR, combining LSC and MRD showed reduced survival in MRD high /LSC high patients (hazard ratio [HR] 3.62 for OS and 5.89 for cumulative incidence of relapse [CIR]) compared to MRD low /LSC high , MRD high /LSC low , and especially MRD low /LSC low patients. Moreover, in the NPM1mutant positive sub-group, prognostic value of golden standard NPM1-MRD by qPCR can be improved by addition of flow cytometric approaches. This is the first prospective study demonstrating that LSC strongly improves prognostic impact of MRD detection, identifying a patient subgroup with an almost 100% treatment failure probability, warranting consideration of LSC measurement incorporation in future AML risk schemes.

Despite the increasing knowledge of the genomic landscape of acute myeloid leukemia (AML), prediction merely based on genetics fails to anticipate outcome, presumably due to the heterogeneous composition of the leukemic clone determining complex interactions between different genetic abnormalities. Therefore, the introduction of a post-treatment biomarker exploring the quality of response to therapy such as assessment of measurable (previously minimal) residual disease (MRD) may lead to refinements of the prognostic assessment in AML. In this view, the European LeukemiaNet has recently endorsed the achievement of a MRD negative morphologic complete remission as a purpose the treatment. Techniques like multiparametric flow cytometry and reverse transcriptase-quantitative polymerase chain reaction have reached a level of sensitivity and specificity that make them ready for introduction in clinical practice. In the present review, we will give an update on the efforts in harmonization and/or standardization of MRD assessment in AML, focusing on the newest acquisitions in the clinical applications of MRD, and considering issues like relationship of MRD with leukemic stem cells or MRD assessment in peripheral blood., (Copyright © 2018 Elsevier Inc. All rights reserved.)