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  • 1
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Cytometry Part B: Clinical Cytometry Vol. 94, No. 2 ( 2018-03), p. 219-229
    In: Cytometry Part B: Clinical Cytometry, Wiley, Vol. 94, No. 2 ( 2018-03), p. 219-229
    Abstract: The enormous potential of complex data files generated by 10‐color flow cytometry (FC) is hindered by the requirement for exhaustive manual gating and the complexity of multidimensional data visualization. We propose a model using radar plots (RPs), to improve FC data visualization by capturing multidimensionality and integration of FC findings. Method We analysed 12 normal/reactive bone marrow (N/R BM) samples and 12 BM samples from patients with myelodysplasia (MDS) with 10‐color FC. All identifiable cell clusters were individually marked, grouped, and visualized on radar plots. RPs were optimized to de‐clutter the cell clusters and map BM cell composition and maturation. Results A total of 27 immature and mature cell clusters were identified and visualized on 8 multidimensional radar plots. The RPs displayed flow cytometry findings of normal BM in an integrated fashion to maximize overall insight into the data set. The constructed map of bone marrow cell composition was reproducible in all normal BM samples analyzed. Analysis of the pilot cohort of patient samples confirmed the presence of MDS‐related changes. These changes are readily identifiable on RPs. Conclusion We demonstrated that the cell clusters of normal BM can be mapped on multidimensional radar plots, which provide an inclusive insight into BM cell composition and maturation. These reproducible RPs present a comprehensive and comprehensible visual display of differentiation and maturation of haematopoietic cells in normal BM, and can be used as a reference map to assess abnormal haematopoiesis in MDS. © 2017 International Clinical Cytometry Society
    Type of Medium: Online Resource
    ISSN: 1552-4949 , 1552-4957
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2180651-2
    SSG: 12
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  • 2
    In: Cytometry Part B: Clinical Cytometry, Wiley, Vol. 100, No. 4 ( 2021-07), p. 409-420
    Abstract: Acute promyelocytic leukemia (APL) is one of the most life‐threatening hematological emergencies and requires a prompt correct diagnosis by cytomorphology and flow cytometry (FCM) with later confirmation by cytogenetics/molecular genetics. However, nucleophosmin 1 muted acute myeloid leukemia ( NPM1+ AML) can mimic APL, especially the hypogranular variant of APL. Our study aimed to develop a novel, Radar plot‐based FCM strategy to distinguish APLs and NPM1+ AMLs quickly and accurately. Method Diagnostic samples from 52 APL and 32 NPM1+ AMLs patients were analyzed by a 3‐tube panel of 10‐color FCM. Radar plots combining all markers were constructed for each tube. Percentages of positive leukemic cells and mean fluorescence intensity were calculated for all the markers. Results APL showed significantly higher expression of CD64, CD2, and CD13, whereas more leukemic cells were positive for CD11b, CD11c, CD15, CD36, and HLA‐DR in NPM1+ AMLs. Radar plots featured CD2 expression, a lack of a monocytic component, lack of expression of HLA‐DR and CD15, and a lack of a prominent CD11c+ population as recurring characteristics of APL. The presence of blasts with low SSC, presence of at least some monocytes, some expression of HLA‐DR and/or CD15, and a prominent CD11c population were recurrent characteristics of NPM1+ AMLs. Radar plot analysis could confidently separate all hypergranular APL cases from any NPM1+ AML and in 90% of cases between variant APL and blastic NPM1 + AML. Conclusion Radar plots can potentially add to differential diagnostics as they exhibit characteristic patterns distinguishing APL and different types of NPM1+ AMLs.
    Type of Medium: Online Resource
    ISSN: 1552-4949 , 1552-4957
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2180651-2
    SSG: 12
    Location Call Number Limitation Availability
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  • 3
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 55, No. 7 ( 2023-07), p. 1186-1197
    Abstract: In BCR-ABL1 lymphoblastic leukemia, treatment heterogeneity to tyrosine kinase inhibitors (TKIs), especially in the absence of kinase domain mutations in BCR-ABL1 , is poorly understood. Through deep molecular profiling, we uncovered three transcriptomic subtypes of BCR-ABL1 lymphoblastic leukemia, each representing a maturation arrest at a stage of B-cell progenitor differentiation. An earlier arrest was associated with lineage promiscuity, treatment refractoriness and poor patient outcomes. A later arrest was associated with lineage fidelity, durable leukemia remissions and improved patient outcomes. Each maturation arrest was marked by specific genomic events that control different transition points in B-cell development. Interestingly, these events were absent in BCR-ABL1 + preleukemic stem cells isolated from patients regardless of subtype, which supports that transcriptomic phenotypes are determined downstream of the leukemia-initialing event. Overall, our data indicate that treatment response and TKI efficacy are unexpected outcomes of the differentiation stage at which this leukemia transforms.
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1494946-5
    SSG: 12
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