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  • 1
    In: Cell Reports, Elsevier BV, Vol. 22, No. 7 ( 2018-02), p. 1875-1888
    Type of Medium: Online Resource
    ISSN: 2211-1247
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 2
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 488-488
    Abstract: Background: Flow cytometric immuno-phenotyping of lineage-associated antigens is used in the diagnosis of BCP ALL to distinguish neoplastic B-cells. However, the resultant immunophenotypic expression patterns are inadequate to inform prognosis or choice of therapy. Mass cytometry allows for multi-parametric analysis of single cells to distinguish phenotypic and functional features of subpopulations from leukemia samples. Mass cytometric analysis of pediatric Ph+ BCP ALL constructs a novel model of ALL organized along the normal B cell developmental trajectory (Davis et al., Cell 2014). Leukemic cells share phenotypic features with their normal early B cell counterparts. Critical survival and proliferation signaling is also linked to phenotypic state. Further, the developmental state of leukemic populations common among the patients impacts in vitroresponse to inhibition of BCR-ABL kinase signaling. Methods: Mononuclear cells from diagnostic bone marrow samples were obtained from pediatric patients with Philadelphia chromosome positive BCP-ALL under informed consent (n=21) or healthy controls (n=5). Mass cytometry analysis of 40 proteins was performed at baseline state and perturbed state (IL-7, TSLP, anti-m, dasatinib, tofacitinib, BEZ-235) as previously described (Bendall et al., Science 2011). Analysis was restricted to progenitor and blast populations. Healthy bone marrow samples were gated as previously described along the trajectory of developing B cells (Davis et al., Cell2014). These populations were used as the foundation for a classifier in which each leukemia cell was assigned to its nearest healthy population based on a distance metric (Mahalanobis in nine dimensions). Results: Compared to healthy bone marrow controls, and as expected, ALL samples displayed overexpression of early B cell immunophenotypic markers including CD10 (healthy mean counts 3.83 vs. leukemic 283.3, p=0.03), CD34 (6.26 vs. 80.7; p=0.03), and TdT (2.03 vs.18.9; p=0.002). Leukemic cells expressed lower levels of CD45 and IgM compared to healthy developing B cells. Extended phenotyping revealed conserved patterns of protein expression consistent with different developmental stages in B cell development. We have previously identified the precise developmental ordering of human B cell fractions based on the combined expression of CD34, CD38, CD24, TdT (Davis et al., Cell 2014). ALL samples showed increased numbers of cells occupying B cell progenitor compartments compared to healthy bone marrow controls. To formalize this observation, a single-cell classifier was constructed based on the developmental trajectory of healthy B cells. Each leukemic cell was assigned its most related healthy B cell population based on the expression of nine developmental proteins. Across all samples, the size of the pre-proB (CD34+CD38+TdT+) and proB (CD34+CD38+TdT+CD24+) compartments expanded (12% and 33% in ALL vs. 1% and 2% in healthy, respectively) at the expense of progenitor and preB cell compartments. Interestingly, within a given sample, cells may expand within more than one progenitor compartment such that each leukemia had a corrupted, but distinct B cell developmental trajectory. In two diagnosis-relapse pairs, the relapse sample occupied a more mature phenotype compared to its diagnostic partner. Within the developmental compartments, blast cells retained functional features of their healthy counterparts. Blasts within the ProB cell compartment displayed higher basal levels of pSTAT5, pS6, p4EBP1 and pCreb than blasts in other developmental compartments. These cells were more proliferative based on higher mean expression of Ki67. In healthy bone marrow, cells in this developmental state are characterized by ligand-independent STAT5 activation. Indeed the leukemia’s overall level of pSTAT5 correlated with the percentage of cells in the ProB state (R2=0.71). Similarly, in the leukemic samples, patients with a high percentage of cells in this state were less able to respond to inhibition of STAT5 with the tyrosine kinase inhibitor, Dasatinib than cells in other developmental compartments. Conclusions: Deep proteomic profiling of BCP ALL establishes a single-cell classification linking phenotype with functional attributes of leukemic cells. This data demonstrates that leukemic cells are more or less sensitive to therapeutic intervention based on their developmental state. Disclosures Bendall: Fluidigm: Consultancy. Simonds:Fluidigm: Consultancy, Equity Ownership. Nolan:Fluidigm, Inc: Consultancy, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 3
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 1903-1903
    Abstract: Introduction: Flow cytometry is commonly used to characterize bone marrow (BM) cells of patients with myelodysplastic syndrome (MDS). However the diagnostic utility of this technique has been limited. To address this, we utilized 31-parameter single cell mass cytometry (MCM) to comprehensively analyze primary MDS BM samples. Methods: Expression levels of 31 surface markers, including most previously reported aberrant markers in MDS, were measured on 30 whole BM samples from 10 patients with higher-risk MDS (HR-MDS; IPSS = Int2/High/RAEB-T), 10 with lower-risk MDS (LR-MDS; IPSS = Low/Int1), and 3 patients with non-clonal cytopenias. In addition, 5 BM samples from normal donors were simultaneously analyzed as internal reference comparisons. All samples were barcoded, such that 20 samples (MDS and healthy) could be combined into a single tube for simultaneous antibody staining and analysis. Aberrant marker expression was defined as a median expression level falling outside 4 times the absolute variance of the normal samples in each gated population. Further analysis compared manual gating with unsupervised clustering (spanning tree progression analysis of density-normalized events [SPADE]). Results: MCM analysis generated 31-parameter single-cell data that defined 28 major immunophenotypic populations for each sample. This enabled detection of an aberrant expression of 25/31 markers in at least one population, encompassing essentially every previously reported surface marker aberrancy in MDS. Additionally, 3 previously unrecognized aberrant expression patterns were identified by both manual gating and SPADE: increased CD321 (64% of samples) and CD99 (36% of samples); and decreased CD47 (14% of samples). We focused further analyses on the stem and progenitor cell compartment (HSC, MPP, CMP), in which 20 of the 22 MDS samples exhibited at least one aberrancy (average 2.7) in one of these 3 populations (RAEB-T samples exhibited an average of 4). By contrast, no aberrancies were detected within these populations in the 3 samples from patients with non-clonal cytopenias. In addition to the identification of aberrant expression patterns within the subdivided stem and progenitor cell populations (HSPC) of individual samples, analysis of the HSPC population (CD34+CD38low) as a whole, revealed significant increases (~2-fold) in median expression of CD117 (p=0.003) and HLA-DR (p=0.028) for MDS samples compared to normal. Differences in CD117 and HLA-DR could also be appreciated as aberrant expression patterns (outside 4-fold the variance of normal) in 12/22 and 13/22 samples, respectively. Comparison of marker expression within the HSPCs between patients with HR-MDS and LR-MDS also revealed significant differences. HR-MDS HSPCs were characterized by a ~2-fold increase in CD99 compared to LR-MDS (p=0.0018) and a ~3-fold decrease in CD45 compared to LR-MDS (p=8.8x10-5). Differences in CD99 and CD45 could also be appreciated as aberrant expression patterns in 7/12 and 6/12 of the HR-MDS samples, respectively. Finally, the distribution of cell frequencies across the immunophenotypic populations (by SPADE analysis or manual gating) was used to perform a hierarchical clustering of all samples. This clustered patients into groups with different clinical risk. The most significant single distinguishing feature between clinical risk groups was the increased frequency ( 〉 40-fold) of HSPCs in HR-MDS compared to LR-MDS (p=9x10-7) or normal (p=6.3x10-6). Furthermore, this high-parameter analysis detected a 〉 12-fold increase in the HSPC frequency in 2 patients with IPSS Int-2 disease with blast frequencies of 〈 5% (following therapy). Conclusions: This first application of MCM for the analysis of MDS detected all major established aberrant expression patterns in MDS, as well as novel aberrant expression patterns of CD321, CD99, and CD47. Importantly, using high-parameter single-cell analysis and internal normal reference samples, we detected numerous deviations from the immunophenotypic boundaries of normal hematopoiesis in every analyzed MDS sample. Clustering of the cell frequency distribution across the immunophenotypic populations also defined groups of patients with differing clinical risk. These results demonstrate that high-parameter diagnosticcytometry methods can greatly enhance the diagnostic utility of immunophenotypic analysis in MDS. Figure 1 Figure 1. Disclosures Behbehani: Fluidigm: Consultancy. Finck:Fluidigm: Consultancy. Nolan:Fluidigm, Inc: Consultancy, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
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    detail.hit.zdb_id: 80069-7
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  • 4
    In: Nature Cell Biology, Springer Science and Business Media LLC, Vol. 20, No. 8 ( 2018-8), p. 990-990
    Type of Medium: Online Resource
    ISSN: 1465-7392 , 1476-4679
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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    SSG: 12
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  • 5
    In: Cytometry Part B: Clinical Cytometry, Wiley, Vol. 98, No. 2 ( 2020-03), p. 131-145
    Abstract: We sought to enhance the cytometric analysis of myelodysplastic syndromes (MDS) by performing a pilot study of a single cell mass cytometry (MCM) assay to more comprehensively analyze patterns of surface marker expression in patients with MDS. Methods Twenty‐three MDS and five healthy donor bone marrow samples were studied using a 34‐parameter mass cytometry panel utilizing barcoding and internal reference standards. The resulting data were analyzed by both traditional gating and high‐dimensional clustering. Results This high‐dimensional assay provided three major benefits relative to traditional cytometry approaches: First, MCM enabled detection of aberrant surface maker at high resolution, detecting aberrancies in 27/31 surface markers, encompassing almost every previously reported MDS surface marker aberrancy. Additionally, three previously unrecognized aberrancies in MDS were detected in multiple samples at least one developmental stage: increased CD321 and CD99; and decreased CD47. Second, analysis of the stem and progenitor cell compartment (HSPCs), demonstrated aberrant expression in 21 of the 23 MDS samples, which were not detected in three samples from patients with idiopathic cytopenia of undetermined significance. These immunophenotypically abnormal HSPCs were also the single most significant distinguishing feature between clinical risk groups. Third, unsupervised clustering of high‐parameter MCM data allowed identification of abnormal differentiation patterns associated with immunophenotypically aberrant myeloid cells similar to myeloid derived suppressor cells. Conclusions These results demonstrate that high‐parameter cytometry methods that enable simultaneous analysis of all bone marrow cell types could enhance the diagnostic utility of immunophenotypic analysis in MDS.
    Type of Medium: Online Resource
    ISSN: 1552-4949 , 1552-4957
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
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    SSG: 12
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  • 6
    In: Nature Neuroscience, Springer Science and Business Media LLC, Vol. 21, No. 4 ( 2018-4), p. 541-551
    Type of Medium: Online Resource
    ISSN: 1097-6256 , 1546-1726
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 1494955-6
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  • 7
    In: Nature Cell Biology, Springer Science and Business Media LLC, Vol. 19, No. 5 ( 2017-05), p. 558-567
    Type of Medium: Online Resource
    ISSN: 1465-7392 , 1476-4679
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
    detail.hit.zdb_id: 1494945-3
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  • 8
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 5, No. 9 ( 2015-09-01), p. 988-1003
    Abstract: Acute myeloid leukemia (AML) is characterized by a high relapse rate that has been attributed to the quiescence of leukemia stem cells (LSC), which renders them resistant to chemotherapy. However, this hypothesis is largely supported by indirect evidence and fails to explain the large differences in relapse rates across AML subtypes. To address this, bone marrow aspirates from 41 AML patients and five healthy donors were analyzed by high-dimensional mass cytometry. All patients displayed immunophenotypic and intracellular signaling abnormalities within CD34+CD38lo populations, and several karyotype- and genotype-specific surface marker patterns were identified. The immunophenotypic stem and early progenitor cell populations from patients with clinically favorable core-binding factor AML demonstrated a 5-fold higher fraction of cells in S-phase compared with other AML samples. Conversely, LSCs in less clinically favorable FLT3-ITD AML exhibited dramatic reductions in S-phase fraction. Mass cytometry also allowed direct observation of the in vivo effects of cytotoxic chemotherapy. Significance: The mechanisms underlying differences in relapse rates across AML subtypes are poorly understood. This study suggests that known chemotherapy sensitivities of common AML subsets are mediated by cell-cycle differences among LSCs and provides a basis for using in vivo functional characterization of AML cells to inform therapy selection. Cancer Discov; 5(9); 988–1003. ©2015 AACR. See related commentary by Do and Byrd, p. 912. This article is highlighted in the In This Issue feature, p. 893
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2607892-2
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