CD19-directed treatment in B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) frequently leads to the downmodulation of targeted antigens. As multicolour flow cytometry (MFC) application for minimal/measurable residual disease (MRD) assessment in BCP-ALL is based on B-cell compartment study, CD19 loss could hamper MFC-MRD monitoring after blinatumomab or chimeric antigen receptor T-cell (CAR-T) therapy. The use of other antigens (CD22, CD10, CD79a, etc.) as B-lineage gating markers allows the identification of CD19-negative leukaemia, but it could also lead to misidentification of normal very-early CD19-negative BCPs as tumour blasts. In the current study, we summarized the results of the investigation of CD19-negative normal BCPs in 106 children with BCP-ALL who underwent CD19 targeting (blinatumomab, n = 64; CAR-T, n = 25; or both, n = 17). It was found that normal CD19-negative BCPs could be found in bone marrow after CD19-directed treatment more frequently than in healthy donors and children with BCP-ALL during chemotherapy or after stem cell transplantation. Analysis of the antigen expression profile revealed that normal CD19-negative BCPs could be mixed up with residual leukaemic blasts, even in bioinformatic analyses of MFC data. The results of our study should help to investigate MFC-MRD more accurately in patients who have undergone CD19-targeted therapy, even in cases with normal CD19-negative BCP expansion.
We report incidence and deep molecular characteristics of lineage switch in 182 pediatric patients affected by B-cell precursor acute lymphoblastic leukemia (BCP-ALL), who were treated with blinatumomab. We documented six cases of lineage switch that occurred after or during blinatumomab exposure. Therefore, lineage conversion was found in 17.4% of all resistance cases (4/27) and 3.2% of relapses (2/63). Half of patients switched completely from BCP-ALL to CD19-negative acute myeloid leukemia, others retained CD19-positive B-blasts and acquired an additional CD19-negative blast population: myeloid or unclassifiable. Five patients had KMT2A gene rearrangements; one had TCF3::ZNF384 translocation. The presented cases showed consistency of gene rearrangements and fusion transcripts across initially diagnosed leukemia and lineage switch. In two of six patients, the clonal architecture assessed by IG/TR gene rearrangements was stable, while in others, loss of clones or gain of new clones was noted. KMT2A-r patients demonstrated very few additional mutations, while in the TCF3::ZNF384 case, lineage switch was accompanied by a large set of additional mutations. The immunophenotype of an existing leukemia sometimes changes via different mechanisms and with different additional molecular changes. Careful investigation of all BM compartments together with all molecular –minimal residual disease studies can lead to reliable identification of lineage switch.
Background
The presence of minimal/measurable residual disease (MRD) before or after hematopoietic stem cell transplantation (HSCT) is known as a predictor of poor outcome in patients with acute myeloid (AML) or lymphoblastic (ALL) leukemia. When performed with multiparameter flow cytometry (MFC), assessment of residual leukemic cells after HSCT may be limited by therapy‐induced shifts in the immunophenotype (e.g., loss of surface molecules used for therapeutic targeting). However, in such cases, questionable cells can be isolated and tested for hematopoietic chimerism to clarify their origin.
Methods
Questionable cell populations were detected during the MFC‐based MRD monitoring of 52 follow‐up bone marrow samples from 37 patients diagnosed with T cell neoplasms (n =14), B cell precursor ALL (n = 16), AML (n = 7). These cells (suspected leukemic or normal) were isolated by flow cell sorting and tested for hematopoietic chimerism by RTQ‐PCR.
Results
The origin of cells was successfully identified in 96.15% of cases (n = 50), which helped to validate the results of MFC‐based MRD monitoring.
Conclusions
We believe that a combination of MFC, cell sorting, and chimerism testing may help confirm or disprove MRD presence in complicated cases after HSCT.
Minimal residual disease (MRD) monitoring by flow cytometry at the end of induction therapy is one of the key ways of a prognosis assessment in patients with acute lymphoblastic leukemia (ALL). In B-cell precursor ALL (BCP–ALL), this method of MRD detection is complicated due to the immunophenotypic similarity between leukemic cells and normal B-cell precursors (BCPs). A decrease in intensity of induction therapy can lead to a more frequent appearance of normal BCPs in the bone marrow, which significantly complicates the MRD monitoring. Aim: to assess the incidence of normal BCPs in bone marrow on the 36th day of induction therapy with two different regimens of glucocorticoid (GC) administration according to ALL-MB 2015 protocol. This study was approved by the Independent Ethical Committee and the Academic Council of Dmitriy Rogachev National Medical Research Center of Pediatric Hematology, Oncology, Immunology Ministry of Healthcare of Russian Federation. The study included 220 patients with BCP-ALL who were randomized to two types of GC-based induction therapy: a continuous administration of dexamethasone (n = 139) and an intermittent regimen with a 1-week dexamethasone therapy stop (n = 81). On the 36th day of induction therapy, MRD and normal BCPs were quantified in bone marrow samples by flow cytometry. On the 36th day of treatment, 43.2% of BCP(+) samples were established in the intermittent-therapy group, and 27.3% in the continuous-therapy group (p = 0.016). Comparison of the BCP level in BCP(+) samples revealed the more equitable distribution of BCPs at different developmental stages in the intermittent-therapy group, meanwhile mainly the immature BCPs in a quantity of less than 0.01% were found in the continuous-therapy group. Reduced-intensity induction therapy for patients with BCP-ALL leads to a noticeable increase of normal BCPs in bone marrow at the end of this treatment stage. A higher rate of BCP(+) bone marrow samples hinder the MRD detection due to the immunophenotypic similarity of BCPs and leukemic cells.
The aim of this study was to describe the immunophenotype of leukemic cells in acute myeloid leukemia (AML) with inv(16) (p13.1q22)/CBFb-MYH11 and t(16;16)(p13.1;q22)/CBFb-MYH11 in children. This study is supported by the Independent Ethics Committee and approved by the Academic Council of the Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology. We investigated bone marrow samples from 36 pediatric patients with initially diagnosed AML with inv(16)(p13.1q22)/t(16;16)(p13.1;q22)/CBFb-MYH11. Immunophenotypic profile of leukemic cells was very heterogeneous: cells expressed antigens of early stages of differentiation (CD34, CD117, CD123) as well as markers of mature monocytes (CD11c, CD14, CD64) and neutrophils (CD65, CD15). Moreover, in 55.6% of cases lymphoid coexpressions were noticed (CD2 – the most frequent one). Furthermore, in 83.3% of cases we detected the separation of leukemic cells population into two parts: more “immature” – myeloblastic, which expressed early markers of differentiation (CD34, CD117), and more “mature” part, expressing monocytic antigens (CD11b, CD14, CD33). There was no clear separation between these parts of population. Despite the immunophenotypic similarity between monocytic part of leukemic population and normal monocytes, in 87.5% of studied cases there were same lymphoid coexpressions on these cells as on leukemic myeloblasts. Moreover, we showed that levels of CBFb-MYH11 expression in leukemic monocytes and myeloblasts were comparable. Presence of these characteristics in monocytes allows to consider them as part of leukemic cells population and take into consideration during the total immunophenotype reporting.
Background
The flow cytometry analysis of GPI‐linked proteins on red blood cells and leukocytes is crucial for paroxysmal nocturnal hemoglobinuria (PNH) diagnostics. However, the commonly used multicolor panels cannot be implemented in low‐resourced hematology laboratories. In order to develop a simple prediagnostic test for PNH screening, we analyzed the diagnostic accuracy of the two‐color (FLAER/CD15) detection of GPI‐deficient neutrophils.
Methods
We reanalyzed multicolor data set of 1594 peripheral blood samples of patients screened for PNH applying only two markers (FLAER/CD15). The quantitative positivity/negativity was reported. Then, these results were compared in a blinded manner with previously obtained multicolor data from the same samples.
Results
Among the 1594 samples included in the study, 507 samples were PNH‐positive by the multicolor assay. The two‐color method revealed 510 PNH‐positive samples. The detailed examination of this discrepancy revealed 12 false‐positives and 9 false‐negatives. Therefore, FLAER/CD15 screening method displayed 98.90% of the diagnostic specificity and 98.22% of the sensitivity.
Conclusion
This simple two‐color evaluation of FLAER‐negative neutrophils is a highly effective screening test for PNH. Although this approach is not intended to replace the multicolor diagnostic procedure, it could minimize the number of patients requiring a conventional multicolor flow cytometric assay.
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